A.1 Κ.F. Jensen, D.I Fotiadis, P.W.Lee, D.R. Mckenna and H.K. Moffat, “Gas phase chemistry and transport phenomena in MOCVD reactors”, Soc. Photo- Optical Inst. Eng. Proceedings, 796,178-190 (1987).
A.2 D.I. Fotiadis, A.M. Kremer, D.R. Mc Kenna and K.F. Jensen, “Complex Flow phenomena in vertical CVD reactors: Effects on deposition uniformity and interface abruptness”, J. of Crystal Growth 85, 154-164 (1987).
A.3 D.I. Fotiadis, M. Boekholt, K.F. Jensen and W. Richter, “Flow and heat transfer in CVD reactors: Comparison of Raman temperature measurements and finite element model predictions, J. of Crystal Growth, 100, 577-599, (1990).
A.4 D.I. Fotiadis, K.F. Jensen, “Thermophoresis of solid particles in horizontal chemical .vapor deposition reactors”, J. of Crystal Growth, 102, 743-761, (1990).
A.5 K.P. Giapis, D. C. Lu, D.I. Fotiadis and K.F. Jensen, “A new MOVCD reactor system for the epitaxial growth of Zn Se: Modeling and experimental results for growth from dimethylzinc and dimethylselenide”, J. of Crystal Growth, 104, 629-640 (1990).
A.6 D.I. Fotiadis, S. Kieda and K.F. Jensen, “Transport Phenomena in Vertical reactors for metalorganic vapor phase epitaxy: I. effects of heat transfer characteristics, reactor geometry, and operating conditions”, J. of Crystal Growth, 102, 441-470, (1990).
A.7 K.F. Jensen, E.O. Einset and D.I. Fotiadis, “Flow phenomena in chemical vapor deposition of thin films”, Annual Review of Fluid Mechanics, 23, 197-232, (1991).
A.8 K.F. Jensen, D.I. Fotiadis and T.J. Mountziaris, “Detailed models of the MOVPE process”, J. of Crystal Growth, 107, 1-11, (1991).
A.9 A. Charalambopoulos, G. Dassios, D.I. Fotiadis, V. Kostopoulos, C.V. Massalas, “On the Dynamic Characteristics of the Human Skull”, International Journal of Engineering Science, 34 (12) 1339-1348 (1996).
A.10 A. Charalambopoulos, G. Dassios, D.I. Fotiadis, C.V. Massalas, “The Dynamic Characteristics of the Human Skull – Brain System”, Math. Comput. Modelling, 27(2) 81-101 (1998)
A.11 A. Charalambopoulos, G. Dassios, D.I. Fotiadis, C.V. Massalas, “Frequency Spectrum of the Human Head-Neck System”, Int. J. Engng. Sci., 35(8) 753-768 (1997).
A.12 A. Charalambopoulos, D.I. Fotiadis, C.V. Massalas, “Free Vibrations of a Double layered Elastic isotropic Cylindrical Rod”, Int. J. of Engng. Sci., 36 711-731 (1998).
A.13 A. Charalambopoulos, D.I. Fotiadis, C.V. Massalas, “The Effect of Geometry on the Dynamic Characteristics of the Human Skull”, Int. J. of Engng. Sci., 36 1047-1060 (1998).
A.14 I.E. Lagaris, A. Likas and D.I. Fotiadis, “Artificial neural networks for Solving Ordinary and Partial Differential Equations”, IEEE Transactions on Neural Networks, 9(5) 987 – 1000 (1998).
A.15 A. Charalambopoulos, D.I. Fotiadis, C.V. Massalas, “Frequency Spectrum of the Bispherical Hollow System: The Case of the Nonuniform Thickness Human Skull”, Acta Mechanica, 130 249-278 (1998).
A.16 A. Charalambopoulos, D.I. Fotiadis, C.V. Massalas, “The Effect of Viscoelastic Brain on the Dynamic Characteristics of the Human Head”, Acta Mechanica, 130 159-173 (1998).
A.17 A. Charalambopoulos, D.I. Fotiadis, C.V. Massalas, “Free Vibrations of the Human Viscoelastic Skull”, Int. J. Engng. Sci, 36(5/6) 565-576 (1998).
A.18 I.E. Lagaris, A. Likas and D.I. Fotiadis, “Artificial Neural Network Methods in Quantum Mechanics”, Computer Physics Communications, 104 1-14, (1997).
A.19 A. Charalambopoulos, G. Dassios, D.I. Fotiadis, and C.V. Massalas, “Note on Eigenvector Solutions of the Navier Equation in Cylindrical Coordinates”, Acta Mechanica, 134 115 – 119 (1999).
A.20 D.I. Fotiadis, G. Foutsitzi and C.V. Massalas, “Wave Propagation in Human Long Bones”, Acta Mechanica, 137, 65-81 (1999).
A.21 A. Charalambopoulos, D.I. Fotiadis and C.V. Massalas, “Human Head-Neck System: The Effect of Viscoelastic Neck on the Eigenfrequency Spectrum”, Archive of Applied Mechanics, 70(5) 307-322 (2000).
A.22 A. Charalambopoulos, D.I. Fotiadis and C.V. Massalas, “Dynamic Response of the Human Head to an External Stimulus”, Math. Comp. Modelling, 30 205-224 (1999).
A.23 P.A. Voltairas, D.I. Fotiadis, and C.V. Massalas, “Magnetization Reversal in Thin Ferromagnetic Films under Mechanical Stress”, Int. J. Engng. Sci., 38 903-919 (2000).
A.24 P.A. Voltairas, D.I. Fotiadis, and C.V. Massalas, “The Role of Material Parameters and Mechanical Stresses on Magnetic and Magnetostrictive Hysteresis”, Journal of Magnetism and Magnetic Materials, 204 135-143 (1999).
A.25 D.I. Fotiadis, G. Foutsitzi and C.V. Massalas, “Wave Propagation in Human Long Bones of Arbitrary Cross Section”, Int. J. Engng. Sci., 38 1553-1591 (2000).
A.26 P.A. Voltairas, D.I. Fotiadis, and C.V. Massalas, “Nonuniform Magnetization Reversal in Stressed Thin Ferromagnetic Films”, Journal of Magnetism and Magnetic Materials, 213, 43-50 (2000).
A.27 A. Ktena, D.I. Fotiadis, and C.V. Massalas, “A New 2-D Model for Inhomogeneous Permanent Magnets”, ΙΕΕΕ Transactions on Magnetics, 36(6) 3926-3931 (2000).
A.28 P.A. Voltairas, D.I. Fotiadis and C.V. Massalas, “Mode Mixing in Ferromagnetic Resonance in Magnetic Microspheres”, Journal of Applied Physics, 88(1) 374-378 (2000).
A.29 A. Ktena, D.I. Fotiadis and C.V. Massalas, “A 2-D Preisach Model for Inhomogeneous Magnets”, Journal of Applied Physics, 87(9) 4780-4782 (2000).
A.30 P.A. Voltairas, D.I. Fotiadis and C.V. Massalas, “Estimation of Exchange constant A and g Factor for CoxNi1-x Microspheres from Size – Dependent Ferromagnetic Resonance Modes”, Journal of Magnetism and Magnetic Materials, 217 L1-L4 (2000).
A.31 P.A. Voltairas, D.I. Fotiadis and C.V. Massalas, “Elastic Stability of Silicone Ferrofluid Internal Tamponade (SFIT) in Retina Detachment”, Journal of Magnetism and Magnetic Materials 225, 248-255 (2001).
A.32 A. Charalambopoulos, G. Dassios, D.I. Fotiadis and C.V. Massalas, “Scattering of a Point Generated Field by a Multilayer Spheroid”, Acta Mechanica, 150 107-119 (2001).
A.33 C. Papaloukas, D.I. Fotiadis, A Likas, A. Liavas and L. Michalis, “A Knowledge –based Technique for the Detection of Ischemic Episodes in Long Duration ECGs”, Medical and Biological Engineering and Computing, 39 (1) 105-112 (2001).
A.34 A. Charalambopoulos, D.I. Fotiadis and C.V. Massalas, “Scattering of Point Source Generated Field by Kidney Stones”, Acta Mechanica, 153, 63-77 (2002).
A.35 A. Charalambopoulos, D.I. Fotiadis, D. Kourounis and C.V. Massalas, “On the Solution of Boundary Value Problems using Spheroidal Eigenvectors”, Computer Physics Communications, 139(2) 153-171 (2001).
A.36 K.N. Malizos, M.S. Siafakas, D.I. Fotiadis, Th. Karahalios and P.N. Soucacos, “An MRI – Based semiautomated Volumetric Quantification of Osteonecrosis”, J. of Skeletal Radiology, 30, 686-693 (2001).
A.37 V. Papathanasopoulou, D.I. Fotiadis, G. Foutsitzi and C.V. Massalas, “A Poroelastic Bone Model for Internal Remodeling”, International Journal of Engineering Science, 40, 511-530 (2002).
A.38 A. Ktena, D.I. Fotiadis, C.V. Massalas and P.D. Spanos, “A Preisach Model Identification Procedure and Simulation of Hysteresis in Ferromagnets and Shape Memory Alloys”, Physica B, 306 84-90 (2001).
A.39 C. Papaloukas, D.I. Fotiadis, A. Likas and L.K. Michalis, “An Ischemia Detection Method Based on Artificial Neural Networks”, Artificial Intelligence in Medicine (AIM), 24 167-178 (2002).
A.40 P.A. Voltairas, D.I. Fotiadis and L.K. Michalis, “Hydrodynamics of Magnetic Drug Targeting”, J. of Biomechanics, 35(6) 813-821 (2002).
A.41 C. Papaloukas, D.I. Fotiadis, A. Likas and L.K. Michalis, “Use of a Novel Rule Based Expert System in the Detection of Changes in the ST segment and T Wave in Long Duration ECGs”, J. of Electrocardiology, 35(1) 27-34 (2002).
A.42 A. Papadopoulos, D.I. Fotiadis and A. Likas, “An automatic microcalcification detection system based on a hybrid neural network classifier”, Artificial Intelligence in Medicine (AIM), 25(2) 149-167 (2002).
A.43 A. Ktena, D.I. Fotiadis, P.D. Spanos, A. Berger and C.V. Massalas, “Identification of 1D and 2D Preisach Models for Ferromagnets and Shape Memory Alloys”, Int. J. Eng. Sci. 40(20) 2235-2247 (2002).
A.44 K.A. Anagnostopoulos, A. Charalambopoulos, D.I. Fotiadis, “Scattering of Electromagnetic Spherical Waves by a Buried Spheroidal Perfect Conductor”, Int. J. Eng. Sci., 41(111) 1239-1266 (2003).
A.45 P.A. Voltairas, D.I. Fotiadis and C.V. Massalas, “A Theoretical Study of the Hyperelasticity of Electro – Gels”, Proc. of the Royal Society of London A, 459 (2037) 2121-2130 (2003).
A.46 K. Blekas, D.I. Fotiadis and A. Likas, “Greedy Mixture Learning for Multiple Motif Discovery in Biological Sequences”, Journal of Bioinformatics, 19(5) 607-617 (2003).
A.47 K.A. Anagnostopoulos, S. Mavratzas, A. Charalambopoulos and D.I. Fotiadis, “Scattering of a Spherical Acoustic Field from an Eccentric Spheroidal Structure Simulating the Kidney – Stone System, Acta Mechanica, 161(1-2) 39-52 (2003).
A.48 P.A. Voltairas, D.I. Fotiadis and C.V. Massalas, “Modelling the Hyperelasticity of Magnetic Field Sensitive Gels”, J. of Applied Physics, 93(6) 3652-3656 (2003).
A.49 V. Papathanasopoulou, D.I. Fotiadis, and C.V. Massalas, “A Theoretical Analysis of Surface Remodeling in Long Bones”, Int. J. of Engng. Sci., 42(3-4) 395-409 (2004).
A.50 K. Blekas, D.I. Fotiadis and A. Likas, “A Sequential Method for Discovering Probabilistic Motifs in Proteins”, Methods of Information in Medicine, 43(1) 9-12 (2004).
A.51 C. Papaloukas, D.I. Fotiadis, A. Likas, L.K. Michalis, “Automated Methods for Ischemia Detection in Long Duration ECGs”, Cardiovascular Reviews and Reports, June 2003, 313-319 (2003).
A.52 M. Tsipouras and D.I. Fotiadis, “Automatic Arrhythmia Detection based on Time and Time-Frequency Analysis of Heart Rate Variability”, Computer Methods and Programs in Biomedicine, 74(2) 95-108 (2004).
A.53 A. Ktena, D.I. Fotiadis, A. Berger and C.V. Massalas, “Hysteresis Modelling of Gd-films and EFC – thin film Recording Media”, Physica B, 343(1-4) 101-106 (2004).
A.54 A. Ktena, D.I. Fotiadis and C.V. Massalas, “Hysteresis Modelling in Materials and Systems”, Advances in Composite Materials, 13(1) 85-91 (2004).
A.55 K. Blekas, D.I. Fotiadis and A. Likas, “Motif – based Protein Sequence Classification using Neural Networks”, J. of Computational Biology, 12(1), 64-82 (2005).
A.56 Y. Goletsis, C. Papaloukas, D.I. Fotiadis, A. Likas and L.K. Michalis, “Automated Ischemic Beat Classification using Genetic Algorithms and Multicriteria Decision Analysis”, IEEE Trans. on Biomedical Engineering, 51(10) 1717 – 1725 (2004).
A.57 A. Ktena, D.I. Fotiadis, A. Berger and C.V. Massalas, “Preisach modelling of AFC recording media”, IEEE Transactions on Magnetics, 40(4) 2128 – 2130 (2004).
A.58 M.E. Plissiti, D.I. Fotiadis, L.K. Michalis and G. Bozios, “An Automated Method for Lumen and Media/Adventitia Border Detection in a Sequence of IVUS Frames”, IEEE Transactions on Information Technology in Biomedicine, B8(2) 131-141 (2004).
A.59 M. Tsipouras, D.I. Fotiadis and D. Sideris, “An Arrhythmia Classification System Based on the RR Interval Signal”, Artificial Intelligence in Medicine (AIM), 33(3), 237-250 (2005).
A.60 P.A. Voltairas, D.I. Fotiadis, C.V. Massalas and L.K. Michalis, “Anharmonic Analysis of Arterial Blood Pressure and Flow Pulses”, Journal of Biomechanics, 38(7), 1423-1431 (2005).
A.61 C.V. Bourantas, M.E. Plissiti, D.I. Fotiadis, V. Protopappas, G.V. Mpozios, C.K. Katsouras, I.C. Kourtis and L.K. Michalis, “In vivo Validation of a Novel Automated Method for Border Detection in IVUS Images”, British Journal of Radiology, 78(926) 122-129 (2005).
A.62 A. Papadopoulos, D.I. Fotiadis and A. Likas, “Characterization of Clustered Microcalcifications in Digitized Mammograms using Neural Networks and Support Vector Machines”, Artificial Intelligence in Medicine (AIM), 34(2), 141-150 (2005).
A.63 A. Anagnostakis, M. Tzika, G. Sakellaris, D.I. Fotiadis, A. Likas, “Semantics Based Information Modelling for the HealthCare Administration Sector: The Citation Platform, IEEE Transactions on Information Technology in Biomedicine, B9 (2), 239-247 (2005).
A.64 V. Protopapas, D. Baga, D.I. Fotiadis, A. Likas and C.N. Malizos, “An Ultrasound Wearable System for the Monitoring and Acceleration of Fracture Healing in Long Bones”, IEEE Transactions of Biomedical Engineering, 52(9), 1597-1608 (2005).
A.65 C.V. Bourantas, M.E. Plissiti, D.I. Fotiadis, I.C. Kourtis and L.K. Michalis, “A Method for 3D Reconstruction of Coronary Arteries Using Biplane Angiography and Intravascular Ultrasound Images”, Computerised Medical Imaging and Graphics, 29(8), 597-606 (2005).
A.66 G.G. Baltogiannis, D.G. Tsalikakis, A.C. Mitsi, K. Hatzistergos, D. Elaiopoulos, D.I. Fotiadis, Z.S. Kyriakides, and T.M. Kolettis, “Endothelin Receptor – A Blockage Decreases Ventricular Arrhythmias in the Rat Model of Myocardial Infarction, Cardiovascular Research, 67(4), 647-654 (2005).
A.67 E. Varthis and D.I. Fotiadis, “A Comparison of Stop and Wait and Go-Back-N ARQ Schemes for IEEE 802.11e Wireless Infrared Networks”, Computer Communications 29, 1015-1025 (2006).
A.68 C.N. Malizos, V. Protopapas, A. Papachristos, and D.I. Fotiadis, Transosseous Application of Low Intensity Ultrasound for the Enhancement and Monitoring of Fracture Healing Process in a Sheep Osteotomy Model, Bone, 38, 530-539 (2006).
A.69 D.G. Tsalikakis, H.G. Tsang, G.P. Kremmydas, L.K. Michalis and D.I. Fotiadis, “Phase Response Characteristics of Sinoatrial Node Cells”, Computers in Biology and Medicine, 37(1), 8-20 (2007).
A.70 C.D. Katsis, Y. Goletsis, A. Likas, D.I. Fotiadis and I. Sarmas, “Automated EMG Decomposion and MUAP Classification”, International Journal of Artificial Intelligence in Medicine (AIM), 37, 55-64 (2006).
A.71 T.P. Exarchos, C. Papaloukas, D.I. Fotiadis and L.K. Michalis, An Association Rule Mining based Methodology for Automated Diagnosis of Ischemic Beats using ECGs, IEEE Transactions on Biomedical Engineering, 53(8), 1531-1540 (2006).
A.72 T.P. Exarchos, A.T. Tzallas, D.I. Fotiadis, S. Konitsiotis and S. Giannopoulos, EEG Transient Event Detection and Classification Using Association Rules, IEEE Transactions on Information Technology in Biomedicine, 10(3), 451-457 (2006).
A.73 V.C. Protopappas, D.I. Fotiadis and K.N. Malizos, Guided Ultrasound Wave Propagation in Intact and Healing Long Bones, Ultrasound in Medicine and Biology, 32(5) 693-708 (2006).
A.74 A. Tziallas, C. Katsis, D.I. Fotiadis, S. Konitsiotis and S. Giannopoulos, A Method for Classification of Transient Events in EEG Recordings: Application to Epiplepsy Diagnosis, Methods of Information in Medicine, 45, 610-621 (2006).
A.75 M.I. Papafaklis, C.V. Bourantas, P.E. Theodorakis, C.S. Katsouras, L.K. Michalis and D.I. Fotiadis, Association of Endothelial Shear Stress with Plaque Thickness in a Real Three – Dimensional Left Main Coronary Artery Bifurcation Model, International Journal of Cardiology, 115 276-278 (2007).
A.76 V.P. Oikonomou, A.T. Tzallas, and D.I. Fotiadis, A Kalman Filter Based Methodology for EEG Spike Enhancement, Computer Methods and Programs in Biomedicine, 85 101-108 (2007).
A.77 C.D. Katsis, G. Ganiatsas and D.I. Fotiadis, An Integrated Telemedicine Platform for the Assessment of Affective Physiological States, Diagnostic Pathology, Online Journal – listed in PubMed, 1:16 1-9 (2006).
A.78 V.C. Protopappas, I.C. Kourtis, L.C. Kourtis, K.N. Malizos, C.V. Massalas and D.I. Fotiadis, Three Dimensional Finite Element Modeling of Guided Ultrasound Wave Propagation in Intact and Healing Long Bones, Journal of Acoustical Society of America (JASA), 121(6) 3907-3921 (2007).
A.79 M. Tsipouras, T. Exarchos, C. Papaloukas, A. Bechlioulis, A. Kotsia, T. Nanou, C. Bazios, Y. Antoniou, D. Fotiadis, A. Naka and L. Michalis, Automatic Creation of Decision Support Systems: Application and Results in the Cardiovascular Diseases Domain, The Journal on Information Technology in Healthcare, 4(4), 222-230 (2006).
A.80 E.C. Karvounis, M.G. Tsipouras, D.I. Fotiadis and K.K. Naka, An Automated Methodology for Fetal Heart Rate Extraction from the Abdominal Electrocardiogram, IEEE Transactions on Information Technology in Biomedicine, 11(6) 628-638 (2007).
A.81 C. Lampros, C. Papaloukas, T.P. Exarchos, Y. Goletsis and D.I. Fotiadis, Sequence – based Protein Structure Prediction using a Reduced State – space Hidden Markov Model, Computers in Biology and Medicine, 37 1211-1224 (2007).
A.82 C.D. Katsis, T.P. Exarchos, C. Papaloukas, Y. Goletsis, D.I. Fotiadis and I. Sarmas, A two-stage Method for MUAP Classification based on EMG Decomposition, Computers in Biology and Medicine, 37 1232-1240 (2007).
A.83 D.A. Elaiopoulos, D.G. Tsalikakis, M.G. Agelaki, G.G. Baltogiannis, A.C. Mitsi, D.I. Fotiadis and T.M. Kolettis, Growth Hormone Decreases Phase II Ventricular Tachyarrythmias during Acute Myocardial Infarction in Rats, Clinical Science (London), 112(7) 385-391 (2007).
A.84 D.G. Tsalikakis, D.I. Fotiadis, L.K. Michalis and G.P. Kremmydas, Phase Resetting in one – Dimensional Model of the Sinoatrial Node, IEEE Transactions on Biomedical Engineering, 54(9) 1710-1714 (2007).
A.85 M.G. Tsipouras, C. Voglis and D.I. Fotiadis, A Framework for Fuzzy Expert System Creation – Application to Cardiovascular Diseases, IEEE Transactions on Biomedical Engineering, 54(11) 2089-2105 (2007)
A.86 E.E. Tripoliti, D.I. Fotiadis and M. Argyropoulou, Automated Segmentation and Quantification of Inflammatory Tissue of the Hand in Rheumatoid Arthritis Patients using Magnetic Resonance Imaging Data, International Journal of Artificial Intelligence in Medicine, 40 65-85 (2007).
A.87 T.P. Exarchos, C. Papaloukas, C. Lampros and D.I. Fotiadis, Mining Sequential Patterns for Protein Fol. Recognition, Journal of Biomedical Informatics, 41(1) 165-179 (2008).
A.88 M.I. Papafaklis, C.S. Katsouras, P.E. Theodorakis, C.V. Bourantas, D.I. Fotiadis and L.K. Michalis, Coronary Dilatation Ten Weeks after Pactitaxel – Eluting Stent Implantation. No Role of Shear Stress in Lumen Enlargement, Heart & Vessels, 22 268-273 (2007).
A.89 T.P. Exarchos, M.G. Tsipouras, C.P. Exarchos, C. Papaloukas, D.I. Fotiadis and L.K. Michalis, A Methodology for the Automated Creation of Fuzzy Expert Systems for Ischaemic and Arrhythmic Beat Classification Based on a Set of Rules Obtained by a Decision Tree, International Journal of Artificial Intelligence in Medicine, 40 187-200 (2007).
A.90 A.E. Bassounas, A.H. Karantanas, D.I. Fotiadis and K.N. Malizos, Femoral Head Osteonecrosis: Volumetric MRI Assessment and Outcome, European Journal of Radiology, 63 10-15 (2007).
A.91 V. Vavourakis, V.I.C. Protopappas, D.I. Fotiadis and D. Polyzos, Numerical Determination of Modal Dispersion and AE Signal Characterization in Waveguides through LBIE/BEM and Time – Frequency Analysis, Computer Modelling in Engineering and Sciences, 43(3) 431-441 (2009).
Α.92 M.G. Tsipouras, T.P. Exarchos, D.I. Fotiadis, A. Kotsia, K.V. Vakalis, K.K. Naka and L.K. Michalis, Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modelling, IEEE Transactions on Information Technology in Medicine, 12(4) 447-458 (2007).
A.93 C.D. Katsis, N. Katertsidis, G. Ganiatsas and D.I. Fotiadis, Towards Emotion Recognition in Car Racing Drivers: A Biosignal Processing Approach, IEEE Transactions on Systems, Man and Cybernetics, Part A, 38 (3) 502-512 (2008).
A.94 V.C. Protopappas, M.G. Vavva, D.I. Fotiadis and K.N. Malizos, Ultrasonic Monitoring of Bone Fracture Healing, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 55(6) 1243-1255 (2008).
A.95 A.T. Tzallas, M.G. Tsipouras and D.I. Fotiadis, Automatic Seizure Detection based on Time-Frequency Analysis and Artificial Neural Networks, Computational Intelligence and Neuroscience, art. No. 80510 (2007).
A.96 P. Karvelis, D.I. Fotiadis and I. Georgiou, A Multichannel Watershed – Based Segmentation Method for Multispectral Chromosome Classification, IEEE Transactions on Medical Imaging, 27(5) 697-708 (2007).
A.97 T.M. Kolettis, G.G. Baltogiannis, D.G. Tsalikakis, A.T. Tzallas, M.G. Agelaki, A. Fotopoulos, D.I. Fotiadis and Z.S. Kyriakides, Effects of Dual Endothelin Receptor Blockade on Sympathetic Activation and Arrhythogenesis during Acute Myocardial Infarction in Rats, European Journal of Pharmacology, 580 (1-2) 241-249 (2008).
A.98 C.V. Bourantas, G.G. Kalatzis, M.I. Papafaklis, D.I. Fotiadis, A.C. Tweddel, C.S. Katsouras and L.K. Michalis, ANGIOCARE: An Automated System for Fast Three Dimensional Coronary Reconstruction Using Angiographic and Intracoronary Ultrasound Data, Catheterization and Cardiovascular Intervention, 72(2) 166-175 (2008).
A.99 A.Ktena, V. Alexandrakis, I. Panagiotopoulos, D. Fotiadis, D. Niarchos, A Study on the Macroscopic Properties of Hard/Soft Bilayers, Physica B, 403, 320-323 (2008).
A.100 C. Bourantas, A. Tweddel, M. Papafaklis, P. Karvelis, D.I. Fotiadis, C. Katsouras and L.K. Michalis, Comparison of Quantitative Coronary Angiography (QCA) with Intracoronary Ultrasound (ICUS). Can QCA Accurately Estimate the Severity of Luminal Stenosis?, Angiology, 60(2) 169-179 (2009).
A.101 L.K.Papatheodorou, L.A. Poultsides, M.E. Hantes, K. Grafanaki, S. Giannouli, M.G. Ioannou, G.K. Koukoulis, V.C. Protopapas, D.I. Fotiadis, C. Stathopoulos and K.N. Malizos, Effect of Transosseous Application of Low – Intensity Ultrasound at the Tendon Graft Bone Interface Healing: Gene Expression and Histological Analysis in Rabbits, Ultrasound In Medicine and Biology, 35(4) 576-584 (2008).
A.102 M.G. Tsipouras, T.P. Exarchos, and D.I. Fotiadis, A Methodology for Automated Fuzzy Model Generation, Fuzzy Systems and Sets, 159(23) 3201-3220 (2008).
A.103 T.P. Exarchos, M.G. Tsipouras, C. Papaloukas and D.I. Fotiadis, An Optimized Sequential Pattern Matching Methodology for Sequences Classification, Knowledge and Information Systems Journal, 19(2) 249-264 (2009).
A.104 M.G. Vavva, V.C. Protopappas, L.N. Gergidis, A. Charalambopoulos, D.I. Fotiadis and D. Polyzos, The Effect of Boundary Conditions on Guided Wave Propagation in Two – Dimensional Models of Healing Bone, Ultrasonics, 48(6-7) 598-606(2008).
A.105 K.P. Exarchos, C. Papaloukas, T.P. Exarchos, A.N. Troganis and D.I. Fotiadis, Prediction of cis/trans Isomerization using Feature Selection and Support Vector Machines, Journal of Biomedical Informatics, 42(1) 140-149 (2009).
A.106 T.P. Exarchos, M.G. Tsipouras, C. Papaloukas and D.I. Fotiadis, A Two-Stage Methodology for Sequence Classification Based on Sequential Pattern Mining and Optimization, Data & Knowledge Engineering Journal, 66(3) 467-487 (2008).
A.107 A. Papadopoulos, D.I. Fotiadis and L. Kostaridou, Improvement of microcalcification cluster detection in mammography utilizing image enhancement techniques, Computers in Biology and Medicine, 38(10) 1045-1055 (2008).
A.108 M.I. Papafaklis, C.V. Bourantas, P.E. Theodorakis, C.S. Katsouras, D.I. Fotiadis and L.K. Michalis, Relationship of Shear Stress with In-Stent Restenosis: Bare Metal Sternting and the Effect of Brachytherapy, International Journal of Cardiology, 134(1) 25-32 (2009).
A.109 N. Giannakeas and D.I. Fotiadis, An Automated Method for Gridding and Clustering Based Segmentation of cDNA Microarray Images, Computerised Medical Imaging and Graphics, 33(1) 40-49 (2009).
A.110 P. Karvelis, D. Tsalikakis, D.I. Fotiadis and I. Georgiou, Enhancement of Multichannel Chromosome Classification using a Region Based Classifier and Vector Median Filtering, IEEE Transactions on Information Technologies in Biomedicine, 13(4) 561-570 (2009).
A.111 A.T. Tzallas, M.G. Tsipouras and D.I. Fotiadis, Epileptic Seizure Detection in Electroengephalograms using Time-Frequency Analysis, IEEE Transactions on Information Technologies in Biomedicine, 13(5) 703-710 (2009).
A.112 M.G. Vavva, V.C. Protopappas, D.I. Fotiadis and K.N. Malizos, Ultrasound Velocity Measurements on Healing Bones using the External Fixation Pins: A Two – Dimensional Simulation Study, Journal of the Serbian Society of Computational Mechanics, 2(2) 1-15 (2008).
A.113 M.G. Vavva, V.C. Protopappas, L.N. Gergidis, A. Charalambopoulos, D.I. Fotiadis and D. Polyzos, Velocity Dispersion Curves of Guided Waves Propagating in a Free Gradient Elastic Plate: Application to Cortical Bone, Journal of Acoustical Society of America, 125 3414-3427 (2009).
A.114 E. Karvounis, M. Tsipouras and D.I. Fotiadis, Detection of Fetal Heart Rate Through 3D Phase Space Analysis for Multivariate Abdominal ECG Recordings, IEEE Transactions on Biomedical Engineering, 56(5) 1394-1406 (2009).
A.115 K.P. Exarchos, T.P. Exarchos, C. Papaloukas, A.N. Troganis and D.I. Fotiadis, PBOND: Web server for the prediction of proline and non-proline cis/trans isomerization, Genomics, Proteomics and Bioinformatics, 7(3) 136-142 (2009).
A.116 K.P. Exarchos, T.P. Exarchos, C. Papaloukas, A.N. Troganis and D.I. Fotiadis, Detection of discriminative sequence patterns in the neighborhood of proline cis peptide bonds and their functional annotation, BMC Bioinformatics, 10 113 (2009).
A.117 C. Lambros, K.P. Exarchos, C. Papaloulas and D.I. Fotiadis, Improving the fold recognition accuracy of a reduced state-space hidden Markov model, Computers in Biology and Medicine, 39(10) 907-914 (2009).
A.118 E.C. Karvounis, M.G. Tsipouras, C. Papaloukas, D.G. Tsalikakis, K.K. Naka and D.I. Fotiadis, A Non-Invasive Methodology for Fetal Monitoring during Pregancy, Methods of Information in Medicine, 49(3) 238-253 (2010).
A.119 E.E. Tripoliti, D.I. Fotiadis, M. Argyropoulou and G. Manis, A Six Stage Approach for the Diagnosis of the Alzheimer’s Disease, Journal of Biomedical Informatics, 43(2) 307-320 (2010).
A.120 V.P. Oikonomou, E.E. Tripoliti and D.I. Fotiadis, Bayesian Methods for fMRI Time Series Analysis using a Non Stationary Model for the Noise, IEEE Transactions On Information Technology in Biomedicine, 14(3) 546-550 (2010).
A.121 P.S. Karvelis, A. Likas and D.I. Fotiadis, Identifying Touching and Overlapping Chromosomes Using the Watershed Transform and Gradient Paths, Pattern Regognition Letters, 31(16) 2474-2488 (2010).
A.122 M.I. Papafaklis, C.V. Bourantas, P.E. Theodorakis, C.S. Katsouras, K.K. Naka, D.I. Fotiadis and L.K. Michalis, The Effect of Shear Stress on Neointimal Response Following Sirolimus and Paclixatel – Elunting Stent Implantation Compared to Bare Metal Stents in Humans, Journal of the American College of Cardiology: Cardiovascular Interventions, 3(11) 1181-1189 (2010).
A.123 N.S. Katertsidis. C.D. katsis and D.I. Fotiadis, INTREPID, a Biosignal Based System for the Monitoring of Patients with Anxiety Disorders, Journal of Biomedical Signal Processing and Control, in press (2010).
A.124 C.D. Katsis, Y. Goletsis, G. Rigas and D.I. Fotiadis, A Wearable System for the Affective Monitoring of Car Racing Drivers during Simulated Conditions, Transportation Research Part C, 19(3) 541-551 (2010).
A.125 A. Papacharalambopoulos, M. Vavva, V. Protopappas, D.I. Fotiadis and D. Polyzos, A Numerical Study on the Propagation of Rayleigh and Guided Waves in Cortical Bone According to Mindlin’s Form II Gradient Elastic Theory, Journal of Acoustical Society of America, 130 (2) 1060-1070(2011).
A.126 I. Georgiou and D.I. Fotiadis, MicroRNAs: A New Class of Therapeutic Targets in Cancer, Gastric and Breast Cancer, 10(1), 10(1) 53-58 (2011).
A.127 K.P. Exarchos, T.P. Exarchos, G. Rigas, C. Papaloukas and D.I. Fotiadis, Extraction of consensus protein patterns in regions containing non-proline cis peptide bonds and their functional assessment, BMC Bioinformatics, 12 142 (2011).
A.128 T. P. Exarchos, K. Stefanou, P. Siogkas, A. Sakelarios, D. I. Fotiadis, K. Naka, L. K. Michalis, N. Filipovic, O. Parodi, ARTool: A platform for the development of Multi-level patient-specific artery and atherogenesis models, Transactions on Internet Research, special issue on Computational Bioengineering, 7 (2) 29-32 (2011).
A.129P. K. Siogkas, A. Sakellarios, T. P. Exarchos, K. Stefanou, , D. I. Fotiadis, K. Naka, L. K. Michalis, N. Filipovic, O. Parodi, Blood Flow in Arterial segments:Rigid vs. Deformable Walls Simulations, Journal of the Serbian Society for Computational Mechanics, 5 (1) 65-77(2011).
A.130N. Filipovic, N. Meunier, M. Kojic, V. Isalovic, M. Radovic, Z. Milosevic, D. Nikolic, D. Milasinovic, T. Exarchos, O. Parodi and D. Fotiadis, Computer Simulation of Plaque formation and Development, Transactions on Internet Research, special issue on Computational Bioengineering, 7 (2) 22-28 (2011).
A.131 G. Rigas, Y. Goletsis. P. Bougia and D.I. Fotiadis, Towards driver’s state recognition on real driving conditions, International Journal of Vehicular Technology, , 2011 Article number617210 (2011)
A.132 E.E. Tripoliti, D.I. Fotiadis and M. Argyropoulou, A supervised method to assist the diagnosis and monitor progression of Alzheimer’s disease using data from an fMRI experiment, International Journal of Artificial Intelligence in Medicine, 53 (1) 35-45(2011).
A.133N. Filipovic, M. Rosic, V. Isailovic, Z. Milosevic, D. Nikoloc, M. Radovic, d. Milasinovic, M. Kojic, N. Meunier, T. Exarchos, D. Fotiadis, O. Parodi, Experimental anaysis and computer simulation of a plaque formation, INTERNATIONAL JOURNAL OF ARTIFICIAL ORGANS, 34 (8) 710 (2011)
A.134 V. Potsika, M. Tsipouras, F. Kalatzis, I. Pappas, V. Danilatou, D. Kafetzopoulos, M. Tsiknakis, P. Vorgia kai D. Fotiadis, “HERCULES”: medical genetics and biomedical informatics infrastructure in support of early diagnosis, monitoring and treatment of children with neurological disorders in Greece, Epilepsia, 52(6) 59 (2011).
A.135 P. Voltairas, A. Charalampopoulos, L.K. Michalis and D.I. Fotiadis, A quasi-lumped model for the peripheral distortion of the arterial pulse, Mathematical Bioscience and Engineering, 9(1) 175-198 (2012).
A.136 C. Bourantas, M. Papafaklis, V. Tsakanikas, L.K. Michalis, K. Naka and D.I. Fotiadis, Fusion of optical coherence tomography and coronary angiography – in vivo assessment of shear stress in plaque rupture, International Journal of Cardiology, 155 (2) 24-26 (2012).
A.137P. Siogkas, A. Sakellarios, T.P. Exarchos, L. Athanasiou, E. Karvounis, K. Stefanou, E. Fotiou, D. I. Fotiadis, K.K. Naka, L.K. Michalis, N. Filipovic and O. Parodi Multi-scale patient-specific artery and atherogenesis models, IEEE Transactions on Biomedical Engineering, 58 (12) 3464-3468(2011).
A.138K.P. Exarchos, Y. Goletsis and D.I. Fotiadis, Multiparametric Decision Support System for the Prediction of Oral Cancer Reoccurrence, IEEE Transactions on Information Technology in Biomedicine 16(6) 1127-1134 (2012).
A.139N. Giannakeas, F. Kalatzis and D.I. Fotiadis, Spot Addressing for Microarray Images Structured in Hexagonal Grids, Computer Methods and Programs in Biomedicine 106 (1) 1-13(2012).
A.140G. Rigas, Y. Goletsis and D.I. Fotiadis, Real time Driver’s Stress Event Detection, IEEE Transactions on Intelligent Transportation Systems 13 (1) 221-234(2012).
A.141N.D. Filipovic, M. Rosic, I. Tanaskovic, Z. Milosevic, D. Nikolic, N. Meunier, D.I. Fotiadis and O. Parodi, ARTreat Project: Three – Dimensional Numerical Simulation of Plaque Formation and Development in the Arteries, IEEE Transactions on Information Technology in Biomedicine 16 (2) 271-278(2012).
A.142D. Polyzos and D.I. Fotiadis, Derivation of Mindlin’s first and second strain gradient elastic theory via simple lattice and continuum models, International Journal of Solids and Structures 49 (3-4) 470-480(2012).
A.143T. P. Exarchos, A.T. Tzallas, D. Baga, D. Chaloglou, D.I. Fotiadis, S. Tsouli, M. Diakou, S. Konitsiotis, Using Partial Decision Trees to Predict Parkinson’s Symptoms: a new approach for diagnosis and therapy in patients suffering from Parkinson’s Disease, Computers in Biology and Medicine, 42(2) 195-204 (2012).
A.144 E.E. Tripoliti, D.I. Fotiadis, G. Manis, Automated Diagnosis of Diseases based on Classification: Dynamic determination of the number of trees in Random Forests algorithm, IEEE Transactions on Information Technology in Biomedicine, 16(4) 615-622 (2012).
A.145L.S. Athanassiou, P.S. Karvelis, V.D. Tsakanikas, K.K. Naka, L.K. Micahlis, C.V. Bourantas and D.I. Fotiadis, A Novel SemiAutomated Atheroschelotic Plaque Caracterization Method Using Grayscale Intravascular Ultrasound Images, Comparison with Virtual Histology, IEEE Transactions on Information Technology in Biomedicine, 16 (3) 391-400 (2012).
A.146G.Rigas, M.G. Tsipouras, P. Bougia, A.T. Tzallas, E. E. Tripoliti, D. Baga, D. I. Fotiadis, S.G. Tsouli and S. Konitsiotis, Assessment of Tremor Activity in the Parkinson’s disease using a Set of Wearable Sensors, IEEE Transactions on Information Technology in Biomedicine, 16 (3) 478-487 (2012).
A.147 M.G. Tsipouras, A.T. Tzallas, G. Rigas, S. Tsouli, D.I. Fotiadis, S.Konitsiotis, An Automated Methodology for Levodopa-Induced Dyskinesia: Assessment based on Gyroscope and Accelerometer Signals, International Journal of Artificial Intelligence in Medicine, 55(2) 127-135 (2012).
A.148 A.I. Sakellarios, K. Stefanou, P. Siogkas, V.D. Tsakanikas, C.V. Bourantas, L. Athanasiou, T.P. Exarchos, E. Fotiou, K.K. Naka, M.I. Papafaklis, A.J. Patterson, V.EL. Young, J.H. Gillard, L.K. Michalis and D.I. Fotiadis, Novel methodology for 3D reconstruction of carotid arteries and plaque characterization, based upon magnetic resonance imaging carotid angiography data, Magnetic Resonance Imaging, 30(8) 1068-1082 (2012).
A.149 O. Parodi, T.P. Exarchos, P. Marraccini, F. Vozzi, Z. Milosevic, D. Nikolic, A. Sakellarios, P. Siogkas, D. I. Fotiadis, N. Filipovic, Patient-specific prediction of coronary plaque growth from CTA angiography: a multiscale model for plaque formation and progression, IEEE Transactions on Information Technology in Biomedicine, 16 (5) 952-965 (2012).
A.150 P. Vorgia, M. Pediaditis, V. Kritsotakis, H. Dimitriou, M. Tsiknakis, S Voutoufianakis, V. Danilatou, D. Kafetzopoulos and D. Fotiadis, “HERCULES”: developing an integrated health care scheme, based on biomedical genetics, advanced biomedical informatics and computer vision for early diagnosis, monitoring and treatment of children with neurological disorders in greece. Pilot application in absence like seizures, Epilepsia, 53(5) (SI) 25 (2012)
Α.151K.P. Exarchos, Y. Goletsis and D.I. Fotiadis, A Multiscale and Multiparametric Approach for Modeling the Progression of Oral Cancer, BMC Medical Informatics and Decision Making, 12(1) 136 (2012)
A.152 M. Akay, T.P. Exarchos, D.I. Fotiadis and K.S. Nikita, Emerging technologies for patient-specific healthcare, IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society, 16 (2) 185-189 (2012)
A.153 K.S. Nikita, J.C. Lin, D.I. Fotiadis and M.T Arredondo, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering: Preface, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, 83 V-VII (2012)
A.154 K.S. Nikita, J.C. Lin, D.I. Fotiadis and M.T Arredondo, Editorial: Special issue on mobile and wireless technologies for healthcare delivery, IEEE Transaction in Biomedical Engineering, 12 (2) Article number6331634, 3083-3089 (2012)
A.155 C. Bellos, A. Papadopoulos, R. Rosso and D.I. Fotiadis, A Support Vector Machine for Categorization of Patients Suffering from Chronic Diseases, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, 83 264-267 (2012)
A.156 E. Tripoliti, D.I. Fotiadis and G. Manis, Modifications of the construction and voting mechanisms of the Random Forests Algorithm, Data & Knowledge Engineering, 87 41-65 (2013).
A.157 L.S. Athanassiou, P.S. Karvelis, A.I. Sakellarios, T.P. Exarchos, P.K. Siogkas, V.D. Tsakanikas, K.K. Naka, C.V. Bourantas, M.I. Papafaklis, G. Koutsouris, L.K. Michalis, O. Parodi and D.I. Fotiadis, A Hybrid Plaque Characterisation Method Using Intravascular Ultrasound Images, Technology and Health Care, 21(3) 199-216 (2013).
A.158 N. Filipovic, Z. Teng, M. Radovic, I. Saveljic, D.I. Fotiadis and O. Parodi, Computer Simulation of Three-Dimensional Plaque Formation and Progression in the Carotid Artery, Medical & Biological Engineering & Computing, 51(6) 607-616 (2013).
A.159 E.E. Tripoliti, A.T. Tzallas, M.G. Tsipouras, G. Rigas, P. Bougia, M. Leontiou, S. Konitsiotis, S.Tsouli, and D.I. Fotiadis, Automatic Detection of Freezing of Gait events in Patients with Parkinson’s Disease, Computer Methods and Programs in Biomedicine, 110(1) 12-26 (2013).
A.160 C.V. Bourantas, H.M. Garcia-Garcia, K.K. Naka, A. Sakellarios, L. Athanasiou, D.I. Fotiadis, L.K. Michalis, P.W. Serruys, Hybrid intravascular imaging: current applications and future potentialities, JACC, 61(13) 1369-1378 (2013).
A.161 E.I. Georga, V. C. Protopappas, D. Ardigò, M. Marina, I. Zavaroni, D. Polyzos, and D. I. Fotiadis, Multivariate Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes Patients Based on Support Vector Regression, IEEE Transactions on Information Technology in Biomedicine, 17(1) 71-81 (2013).
A.162 E.C. Karvounis, T.P. Exarchos, E. Fotiou, A.I. Sakellarios, D. Iliopoulou, D. Koutsouris and D.I. Fotiadis, ART-ML: A New Markup Language for Modelling and Representation of Biological Processes in Cardiovascular Diseases, Technology and Health Care, 21(3) 241-259 (2013).
A.163A. Sakellarios, M. Papafaklis, P. Siogkas, L. Athanasiou, T. Exarchos, K. Stefanou, C. Bourantas, K. Naka, L.Michalis, O. Parodi, and D.I. Fotiadis, Patient-Specific Computational Modeling of Subendothelial LDL Accumulation in a Stenosed Right Coronary Artery: Effect of Hemodynamic and Biological Factors, AJP-Heart and Circulatory Physiology, 304(11) H1455-H1470 (2013).
A.164 N. Giannakeas, P.S. Karvelis, T.P. Exarchos, F.G. Kalatzis, D. I. Fotiadis, Segmentation of Microarray Images Using Pixel Classification – Comparison with Clustering based Methods, Computers in Biology and Medicine, 43(6) 705-716 (2013).
A.165 E.I. Georga, V.C. Protopappas, D. Ardigò, D. Polyzos, and D.I. Fotiadis, A Glucose Model Based on Support Vector Regression for the Prediction of Hypoglycemic Events under Free-Living Conditions, Diabetes Technology and Therapeutics, 15(8) 634-643 (2013).
A.166 C. V. Bourantas, M.I. Papafaklis, L. Athanasiou, F. G. Kalatzis, K.K. Naka, P. K. Siogkas, S. Takahashi, Shigeru Saito, D.I. Fotiadis, C. L. Feldman, P. H. Stone, L.K. Michalis, A New Methodology for Accurate 3-dimensional Coronary Artery Reconstruction using Intravascular Ultrasound and Angiographic Data: Implications for Widespread Assessment of Endothelial Shear Stress in Humans, Eurointervention, 9(5) 582-593 (2013).
A.167 G. Rigas, C. Nikou, Y. Goletsis and D.I. Fotiadis, Hierarchical Similarity
Transformations between Gaussian Mixtures, IEEE Transactions on Neural Networks, 24(11) 1824-1835 (2013).
A.168 V. Potsika, V. Protopappas, M. Vavva, K. Raum, D. Rohrbach, D. Polyzos,
D.I.Fotiadis, Estimation of wave dispersion and attenuation for the assessment of healing
bones, Journal of the Serbian Society for Computational Mechanics,
7(1) 28-35 (2013).
A.169 M. I. Papafaklis, C.V. Bourantas, V.Farooq, R. Diletti, T. Muramatsu, Yaojun Zhang, D.I. Fotiadis, Y. Onuma, H.M. Garcia Garcia, L.K. Michalis, P.W. Serruys, In Vivo Assessment of the 3-dimensional Hemodynamic Micro-environment Following Drug-eluting Bioresorbable Vascular Scaffold Implantation in a Human Coronary Artery: Fusion of Frequency-Domain Optical Coherence Tomography and Angiography, Eurointervention, 9(7) 890 (2013).
A.170 C. V. Bourantas, M.I. Papafaklis, H. M. Garcia-Garcia, V. Farooq, R. Diletti, T. Muramatsu, Y. Zhang, F.G. Kalatzis, D. I. Fotiadis, Y.Onuma, L.K. Michalis and P.W. Serruys, Short- and Long-term Implications of a Bioresorbable Vascular Scaffold Implantation on the local endothelial shear stress patterns, JACC Interventions, 7(1) 100-101 (2014).
A.171 S. Balocco, C. Gatta, F. Ciompi, A. Wahle3, Petia Radeva, S. Carlier, G. Unal, E.Sanidas, F. Mauri, X. Carillo, T. Kovarnik, C.-W.Wang, H.-C. Chen, T. P. Exarchos10, D. I. Fotiadis10, F. Destrempes, G. Cloutier, O.Pujol, M.Alberti, E. G. Mendizabal-Ruiz, M. Rivera, T. Aksoy, R. W. Downe3, I. A. Kakadiaris, Standardized evaluation methodology and reference database for evaluating IVUS image segmentation, Computerized Medical Graphics and Imaging, 38(2) 70-90 (2014).
A.172 V.T. Potsika, K.N. Grivas, V. C. Protopappas, M.G. Vavva, K. Raum, D. Rohrbach, D.Polyzos, D. I. Fotiadis, Numerical and computational study of effective medium theory application for modeling ultrasound wave propagation in healing long bones, Ultrasonics, 54(5) 1219-1230 (2014).
A.173 K. Kalantzaki, E. S. Bei, K. P. Exarchos, M. Zervakis, M. Garofalakis, D. I. Fotiadis, Nonparametric Network Design and Analysis of Disease Genes in Oral Cancer Progression, IEEE Journal of Biomedical Health Informatics, 18(2) 562-573 (2014).
A.174 P. Neofytou, C. Housiadas, S. G. Tsangaris, A. K. Stubos, D. I. Fotiadis, Effects of Newtonian and power law fluid flow in a t-junction of rectangular ducts, Theoretical and Computational Fluid Dynamics, 28(2) 233-256 (2014).
A.175 A. Papadopoulos, C. Bellos, R. Rosso and D.I. Fotiadis, Identification of COPD Patients’ Health Status using an Intelligent System in the CHRONIOUS Wearable Platform, IEEE Journal of Biomedical Health Informatics, 18(3) 731-738 (2014).
A.176 E. Karvounis, M. Tsipouras, A. Tzallas, N. Katertsidis, K. Stefanou, Y. Goletsis, M. Frigerio, A.; Verde, R. Caruso, B. Meyns, J. Terrovitis, M.G. Trivella, D.I. Fotiadis, An Intelligent Decision Support System for the Treatment of Patients Receiving Ventricular Assist Device Support, Methods of Information in Medicine, 2 (2014).
Α.177 C.V. Bourantas, M.I. Papafaklis,A. Kotsia, V.Farooq, T. Muramatsu, Josep Gomez-Lara, Y. Zhang, J. Iqbal, F. Kalatzis, K.K. Naka, D.I. Fotiadis, C. Dorange, J. Wang, Richard Rapoza, H.M. Garcia Garcia, Y. Onuma, L. K. Michalis, Patrick W. Serruys, Effect of the Endothelial Shear Stress Patterns on Neointimal Proliferation Following Drug-eluting Bioresorbable Vascular Scaffold Implantation: an Optical Coherence Tomography Study, JACC Cardiovascular Interventions, 7(3) 315-324 (2014).
A.178 A. Athanassiou, C.V. Bourantas, G. Rigas, A.I. Sakellarios, P. Siogkas, T.P. Exarchos, A. Ricciardi, K.K. Naka, M. Papafaklis, L.K. Michalis, F. Prati and D.I. Fotiadis, A novel methodology for fully automated segmentation and tissue characterization in intracoronary optical coherence tomography images, Journal of Biomedical Optics, 19(2) 026009 (2014).
A.179 D.D. Koutsouris, A. Lazakidou, D. Iliopoulou, T. Koutsouris, E. Vellidou and D.I. Fotiadis, The use of telephone monitoring for diabetic patients: theory and practical implications, Smart Homecare Technology and TeleHealth, 2014(2) 13-17 (2014).
A.180 C.V. Bourantas, M. I. Papafaklis, L. Lakkas, A. Sakellarios, Y. Onuma, Y. Zhang, T. Muramatsu, R. Diletti, P. Bizopoulos, F. Kalatzis, K.K. Naka, D.I. Fotiadis, J. Wang, H.M. Garcia Garcia, T.Kimura, L.K. Michalis, P.W. Serruys, Fusion of optical coherence tomographic and angiographic data for more accurate evaluation of the endothelial shear stress patterns and neointimal distribution after bioresorbable scaffold implantation: comparison with intravascular ultrasound-derived reconstructions, International Journal of Cardiovascular Imaging, 30(3) 485-494 (2014).
A.181 J. Cancela, M. Pastorino, A.T. Tzallas, M.G. Tsipouras, G. Rigas, M.T. Arredondo, D.I. Fotiadis, Wearability assessment of a wearable system for Parkinson’s disease remote monitoring based on a Body Area Network of sensors, Sensors, 14(9) 17235-17225 (2014).
A.182 M.I. Papafaklis, T. Muramatsu, Y. Ishibashi, L.S. Lakkas, C.V. Bourantas, J. Ligthart, M. Echavarria-Pinto, A. Kotsia, Z. Tsirka, D.N. Nikas, R.-J. van Geuns, K.K. Naka, D.I. Fotiadis, E.S. Brilakis,
H. Garcia-Garcia, J.Escaned, F. Zijlstra, L.K. Michalis, P.W. Serruys, Fast Virtual Functional Assessment of Intermediate Coronary Lesions Using Routine Angiographic Data and Blood Flow Simulation in Humans: Comparison with Pressure Wire–Fractional Flow Reserve, Eurointervention, 10(5) 574-583 (2014).
A.183 E. Georga, V.P. Protopapas and D.I. Fotiadis, Wearable Systems and Mobile Applications for Diabetes Disease Management, Journal of Health and Technology, 4(2) 101-112 (2014).
A.184 M. Vavva, L. Gergidis, V. Protopappas, A. Charalambopoulos, D. Polyzos, and D.I. Fotiadis, A study on Rayleigh wave dispersion in bone according to Mindlin’s Form II gradient elasticity, Journal of the Acoustical Society of America, 135(5) 3117 (2014).
A.185 A. Athanassiou., C.V. Bourantas, K.K. Naka, L.K. Michalis, and D.I. Fotiadis, Currently available methodologies for the processing of Intravascular Ultrasound and Optical Coherence Tomography images, Expert Review of Cardiovascular Therapy, 12(7) 885-900 (2014).
A.186 A. T. Tzallas, M.G. Tsipouras, G.Rigas, D.G. Tsalikakis, E.C. Karvounis, M. Chondrogiorgi, F. Psomadellis, J. Cancela, M. Pastorino, M.T. Arredondo Waldmeyer, S.Konitsiotis, and D.I. Fotiadis, PERFORM: A System for Monitoring, Assessment and Management of Patients with Parkinson’s disease, Sensors, 14(11) 21329-21357 (2014).
A.187 M. I. Papafaklis, T. Muramatsu, Y. Ishibashi, L.S. Lakkas, C. V. Bourantas, J. Ligthart, M. Echavarria-Pinto, A. Kotsia, Zeta Tsirka, D.N. Nikas, R-J van Geuns, K.K. Naka, D.I. Fotiadis, E.S. Brilakis,
H. Garcia-Garcia, J.Escaned, F.Zijlstra, L.K. Michalis, P.W. Serruys, Fast Virtual Functional Assessment of Intermediate Coronary Lesions Using Routine Angiographic Data and Blood Flow Simulation in Humans: Comparison with Pressure Wire–Fractional Flow Reserve, Eurointervention, 10(5) 574-583 (2014).
A.188 A.T. Tzallas, N.S. Katertsidis, E.C. Karvounis, M.G. Tsipouras, G. Rigas, Y. Goletsis, K. Zielinski4, L. Fresiello, A. Di Molfetta, G. Ferrari, J.V. Terrovitis, M. G.Trivella, and D. I. Fotiadis, Modeling and Simulation of Speed Selection on Left Ventricular Assist Devices, Computers in Biology and Medicine, 51 128-139 (2014).
A.189 M. Papafaklis, C.V. Bourantas, T. Yonetsu, R.vergallo, A. Kotsia, S. Nakatani, L.S. Lakkas, L.S. Athanasiou, K.K. Naka, D.I. Fotiadis, C. Feldman, P.H. Stone, P.W. Serruys, I.K. Jang and L.K. Michalis, Anatomically Correct 3-dimensional Coronary Artery Reconstruction Using Frequency Domain Optical Coherence Tomographic and Angiographic Data: Head-to-head Comparison with Intravascular Ultrasound for Endothelial Shear Stress Assessment in Humans, Eurontervention, 1(4) 407-415 (2014).
A.190 C. Bellos, G. Rigas, I. Spiridon, A. Bibas, D. Iliopoulou, F. BΓΆhnke, D. Koutsouris and D.I. Fotiadis, Reconstruction of Cochlea based on microCT and histological images of the human inner-ear, Biomed Research Internationa, 2014 ID485783 7pp (2014).
A.191 C. Lampros, T. Simos, Dr. T.P. Exarchos, K.P. Exarchos, C.Papaloukas and D.I. Fotiadis, Assessment of Optimized Markov Models in Protein Fold Classification, Journal of Bioinformatics and Computational Biology, 12(4) 1450016 20pp (2014).
A.192 K. P. Exarchos, K. Kourou, T.P. Exarchos, C. Papaloukas, M.V. Karamouzis, and D.I. Fotiadis, Sequence patterns mediating functions of disordered proteins, Advances in Experimental Medicine and Biology, 820 49-59 (2015)
A.193 T.P. Exarchos, C. Bellos, I. Bakola, D. Kikidis, A. Bibas, D. Koutsouris, and D. I. Fotiadis, Management and Modeling of Balance Disorders using Decision Support Systems: The EMBALANCE project, Advances in Experimental Medicine and Biology, 820 61-67 (2015)
A.194 P. Siogkas, M. Papafaklis, A. Sakellarios, K. Stefanou, C. Bourantas, L. Athanasiou, T.P. Exarchos, K.K. Naka, L. Michalis, O. Parodi and D.I. Fotiadis, Patient-specific Simulation of Coronary Artery Pressure Measurements: An In Vivo Three-dimensional Validation Study in Humans, BioMed Research International, 2015 ID628416 11pp (2015).
A.195 K. Kourou, T.P. Exarchos, K.P. Exarchos, M.V. Karamouzis and D.I. Fotiadis, Machine Learning Applications in Cancer Prognosis and Prediction, Computational and Structural Biotechnology Journal, 13 8-17 (2015).
A.196 K.P. Exarchos, C. Carpegianni, G. Rigas, TP. Exarchos, F. Vozzi, A. Sakellarios, P. Marraccini, K. Naka, L. Michalis, O. Parodi, D.I. Fotiadis, A Multiscale Approach for Modeling Atherosclerosis Progression, IEEE – JBHI, 19(2) 709-719 (2015).
A.197 E. Georga, V. Protopapas, D. Polyzos and D.I. Fotiadis, Evaluation of Short-Term Predictors of Glucose Concentration in Type 1 Diabetes Combining Feature Ranking with Regression Models, Medical and Biological Engineering and Computing, 53(12) 1305-1318 (2015).
A.198 A.P. Kotsia, M. I. Papafaklis, T.T. Michael, B.V. Rangan, M.Peltz, M. Roesle, M.Jessen, B. Willis, RN, G. Christopoulos, G. Nakas, S. Giannitsi, L.K. Michalis, D.I. Fotiadis, S. Banerjee, E.S. Brilakis, Serial Multimodality Evaluation of Aortocoronary Bypass Grafts During the First Year After Coronary Artery Bypass Graft Surgery, JACC Imaging, 8(11) 1341-1343 (2015).
A.199 K. Kourou, and D.I. Fotiadis, Computational Modelling in Cancer: Methods and Applications, Biomedical Data Journal, 1(1) 15-25 (2015).
Α.200 C.V. Bourantas, L.Räber, S. Zaugg, A. Sakellarios, M.Taniwaki, D. Heg, A. Moschovitis, M. Radu, M.I. Papafaklis, F. Kalatzis, K.K. Naka, D.I. Fotiadis, L.K. Michalis, P.W. Serruys, H.M. G.Garcia, S. Windecker, Impact of local endothelial shear stress on neointima and plaque following stent implantation in patients with ST-elevation myocardial infarction: A subgroup-analysis of the COMFORTABLE AMI – IBIS 4 trial, International Journal of Cardiology, 186 178-185 (2015).
A.201 L. Athanasiou, G,Rigas, A. Sakellarios, T.P. Exarchos, P. Siogkas, K. Naka, D. Panetta, G. Pelosi, F. Vozzi, L.K. Michalis, O. Parodi, D.I. Fotiadis, Computerized methodology for micro-CT and histological data inflation using an IVUS based translation map, Computers in Biology and Medicine, 65 168-176 (2015).
A.202 K. N. Grivas, M. G. Vavva, E. J. Sellountos, D. I. Fotiadis , D. Polyzos, A meshless LBIE/LRBF method for solving the nonlinear Fisher equation: application to bone healing, CMES, 105(2) 87-122 (2015).
Α.203 E.D. Berdouses, G.D. Koutsouri, E.E. Tripoliti, G.K. Matsopoulos; C.J. Oulis, D.I. Fotiadis, A computer-aided automated methodology for the Detection and Classification of Occlusal Caries from Photographic Color Images, Computers in Biology and Medicine, 62 119-135 (2015).
A.204 D. Panetta, G. Pelosi, F. Viglione, C. Kusmic, M. Terreni, N.Belcari, A. Del Guerra, L. Athanasiou, T. Exarchos, D.I Fotiadis, N. Filipovic, M.G. Trivella, P. A. Salvadori, O. Parodi, Quantitative Micro-CT Based Coronary Artery Profiling Using Interactive Local Thresholding and Cylindrical Coordinates, Technology in Healthcare, 23(5) 557-570 (2015).
A.205 L.S. Athanasiou, G. Rigas, A. Sakellarios, C.V. Bourantas, K. Stefanou, E. Fotiou, T.P. Exarchos, P. Siogkas, K.K. Naka, O. Parodi, F. Vozzi, Z. Teng, V.E.L. Young, J.H. Gillard, F. Prati, L.K. Michalis, and D.I. Fotiadis, Error propagation in the characterization of atheromatic plaque types based on imaging, Computers Programs and Methods in Biomedicine, 121(3) 161-174 (2015).
A.206 N. Giannakeas, F. Kalatzis, M.G. Tsipouras and D.I. Fotiadis, A Generalized Methodology for the Gridding of Microarray Images with rectangular or hexagonal grid, Signal Image and Video Processing, 10(4) 719-728 (2016).
Α.207 C.V. Bourantas, S.L. Papadopoulou, P.W. Serruys, A. Sakellarios, P.H. Kitslaar, P. Bizopoulos, C. Girasis, Y.-J. Zhang, T. de Vries, M.I. Papafaklis, K. K. Naka, D.I. Fotiadis, G. W. Stone, J.H.C. Reiber, L.K. Michalis, P. J. de Feyter, H. M. Garcia Garcia, Non-Invasive Prediction of Atherosclerotic Progression: Analysis from the PROSPECT-MSCT study, JACC Cardiovascular Imaging, 9(8) 1009-1011 (2016).
A.208 K. Kourou, G. Rigas, K.P. Exarchos, Y. Goletsis, T.P. Exarchos, S. Jacobs, B. Meyns, M.-G. Trivella, D. I. Fotiadis, Prediction of time dependent survival in HF patients after VAD implantation using pre and post-operative data, Computers in Biology and Medicine, 70 99-105 (2016).
A.209 R. Hu, J. Cancela, M.-T. Arrendondo, G. Cea, E. Vlachopapadopoulou, D. I. Fotiadis, and G. Fico, OB CITY – Definition of a Family-Based Intervention for Childhood Obesity Supported by Information and Communication Technologies, IEEE – Translational Engineering in Health and Medicine, 4 2200114 (2016).
A.210L. Athanasiou, G. Rigas, A. Sakellarios, T. Exarchos, P. Siogkas, C. Bourantas, H. Garcia-Garcia, P. Lemos, B. Falcao, L. Michalis, O. Parodi, F. Vozzi, D. Fotiadis, Three-Dimensional Reconstruction of Coronary Arteries and Plaque Morphology using CT Angiography – Comparison and Registration with IVUS, BMC Medical Imaging, 16:9 1-13 (2016).
A.211 V.T. Potsika, K. N. Grivas, T. Gortsas, V.C. Protopappas, K. Raum, D. Polyzos, Dimitrios I. Fotiadis, Computational study of the effect of cortical porosity on ultrasound wave propagation in healthy and osteoporotic long bones , Materials, 9(3) 205 (2016).
A.212 T.P. Exarchos, G. Rigas, A. Bibas, D. Kikidis, C. Nikitas, F.L. Wuyts, B. Ihtijarevic, L. Maes, M. Cenciarini, C. Maurer, N. Macdonald, D.-E. Bamiou, L. Luxon, M. Prasinos, G. Spanoudakis, D. D. Koutsouris, D.I. Fotiadis, Mining Balance Disorders’ data for the development of Diagnostic Decision Support Systems, Computers and Biology, 77 240-248 (2016).
A.213 G.S. Karanasiou, E.E. Tripoliti, T.G. Papadopoulos, F.G. Kalatzis, Y. Goletsis, K.K. Naka, A. Bechlioulis, A. Errachid and D.I. Fotiadis, Predicting adherence of patients with heart failure through machine learning techniques, Healthcare Technology Letters, 3(3) 165-170 (2016).
A.214 V.T. Potsika, V.C. Protopappas, K.N. Grivas, T.V. Gortsas, M.G. Vavva, K.N. Malizos, D.K. Polyzos and D. I. Fotiadis, Ultrasonic Evaluation of Intact, Healing and Osteoporotic Long Bones, Serbian Society for Computational Mechanics, 10(1) 168-189 (2016).
A.215 A. Sakellarios, C.V. Bourantas, S-L. Papadopoulou, Zeta Tsirka, Ton de Vries, P.H. Kitslaar, C. Girasis, Katerina K. Naka, Dimitrios I. Fotiadis, S. Veldhof, G.W. Stone, J.H.C. Reiber, L.K. Michalis, Patrick W. Serruys, P. J. de Feyter, H.M. Garcia Garcia, Prediction of Atherosclerotic Disease Progression Using LDL Transport Modeling: a Serial Computed Tomographic Coronary Angiographic Study, European Heart Journal, Cardiovascular Imaging, 18(1) 11-18 (2017).
A.216 A.I. Sakellarios, L. Räber, C.V. Bourantas, T.P. Exarchos, L.S. Athanasiou, G. Pelosi, K.C. Koskinas, O. Parodi, K.K. Naka, L.K. Michalis, P. W. Serruys, H.M. Garcia Garcia, S. Windecker, D.I. Fotiadis, Prediction of Atherosclerotic Plaque Development in an in Vivo Coronary Arterial Segment based on a multi-level modeling approach, IEEE Transactions on Biomedical Engineering, 64(8) 1721-1730 (2017).
A.217 E. Tripoliti, T. Papadopoulos, G. Karanasiou, K. Naka, D.I. Fotiadis, Heart Failure: Diagnosis, Severity Estimation and Prediction Of Adverse Events Through Machine Learning Techniques, Computational and Structural Biotechnology Journal, 15 26-47 (2017).
A.218 K. Kourou, C. Papaloukas, D.I. Fotiadis, Integration of Pathway Knowledge and Dynamic Bayesian Networks for the Prediction of Oral Cancer Recurrence, IEEE Journal of Biomedical and Health Informatics, 21(2) 320-327 (2017).
A.219 A.220 P.H. Stone, A. Maehara, A.U. Coskun, C.C. Maynard, M. Zaromitydou, G. Siasos, I. Andreou, D.I. Fotiadis, K. Stefanou, M. Papafaklis, L.K. Michalis, A.J. Lansky, G. S. Mintz, P.W. Serruys, C.L. Feldman, G.W. Stone, Role of Low Endothelial Shear Stress and Plaque Characteristics in the Prediction of Nonculprit Major Adverse Cardiac Events: The PROSPECT Study, JACC Cardiovascular Imaging, in press (2017).
A.221 A. Sakellarios, N. Tachos, G. Rigas, T. Bibas, G. Ni, F. Boehnke, D.I. Fotiadis, A validated methodology for the 3D reconstruction of cochlea geometries using human microCT images, Measurement Science and Technology, 28(5) 054011 (2017).
A.222 G. Karanasiou, M. Papafaklis, C. Conway, L.K. Michalis, R. Tzafriri, E. Edelman, D.I. Fotiadis, Stents: Biomechanics, Biomaterials and Insights From Computational Modeling, Annals of Biomedical Engineering, 45(4) 853-872 (2017).
A.223 K.M. Tsiouris, D. Gatsios, G. Rigas, D. Miljkovic, B. Koroušić Seljak, M. Bohanec, M.T. Arredondo, A. Antonini, S. Konitsiotis and D.I. Fotiadis, PD_Manager: A mHealth Platform for Parkinson’s Disease Patients Management, IET – Healthcare Technology Letters, 4(3) 102-108 (2017).
A.224 M.I. Papafaklis, T. Muramatsu, Y. Ishibashi, C. Bourantas, D.I. Fotiadis, E. Brilakis, H. Garcia-Garcia, J. Escaned, P.W. Serruys, L.K. Michalis, Virtual Resting Pd/Pa From Coronary Angiography and Blood Flow Modelling: Diagnostic Performance Against Fractional Flow Reserve, Heart, Lung and Circulation, in press (2017).
A.225 A.I. Sakellarios, P. Bizopoulos, M.I. Papafaklis, L. Athanasiou, T.Exarchos, C.V. Bourantas, K.K. Naka, A.J. Patterson, V.L. Young, J.H. Gillard, O. Parodi, L.K. Michalis and D.I. Fotiadis, Natural history of carotid atherosclerosis in relation to the hemodynamic environment: a low density lipoprotein transport modeling study with serial magnetic resonance imaging in humans, Angiology, 68(2) 109-118 (2017).
A.226 F.G Bellagambi, A. Baraket, A. Longo, M. Vatteroni, N. Zine, J. Bausells, R. Fuoco, F.D. Francesco, P. Salvo, G.S. Karanasiou, D.I. Fotiadis, A. Menciassi, A. Errachid, Electrochemical biosensor platform for TNFcytokines detection in both artificial and real human saliva: Heart Failure, Sensors & Actuators: B. Chemical, 251 1026-1033 (2017).
A.227 A. Sakellarios, C.V. Bourantas, S.L. Papadopoulou, P.H. Kitslaar, C.Girasis, G.W. Stone, J.H.C. Reiber, L.K. Michalis, P.W. Serruys, P.J. de Feyter, H. M. Garcia-Garcia, D.I. Fotiadis, The effect of coronary bifurcation and haemodynamics in prediction of atherosclerotic plaque development: a Serial Computed Tomographic Coronary Angiographic study, Eurointervention, 13(9) 1084-1091 (2017).
A.228 V.T. Potsika, V.C. Protopappas, K.N. Grivas, T. V. Gortsas, K. Raum, D.K. Polyzos, D.I. Fotiadis, Numerical evaluation of the backward propagating acoustic field in healing long bones, JASA, 142(2) 962 (2017).
A.229 M. Papafaklis, P.Siogkas, L. Lakkas, D.I. Fotiadis, C. Katsouras, L.K. Michalis, Functional Assessment of Lesion Severity Without Using the Pressure Wire: Coronary Imaging and Blood Flow Simulation, Expert Review of Cardiovascular Therapy, 15(11) 863-877 (2017).
Α.230 P.K. Siogkas, K.A. Stefanou, L.S. Athanasiou, M.I. Papafaklis, L.K. Michalis and D.I. Fotiadis, Art Care: A Multi-Modality Coronary 3D Reconstruction and Hemodynamic Status Assessment Software, Technology and Health Care, Vol.Preprint (2017).
A.231V. Kigka, G. Rigas, A. Sakellarios, P. Siogkas, I.O. Andrikos, T. Exarchos, D. Loggitsi, C. Anagnostopoulos, L. Michalis, D. Neglia, G. Pelosi, O. Parodi, D. Fotiadis, 3D Reconstruction of Coronary Arteries and Atherosclerotic Plaques based on Computed Tomography Angiography images, Biomedical Signal Processing and Control, 40 286-294 (2018).
A.232 Κ.Μ. Tsiouris, S. Markoula, S. Konitsiotis, D.D. Koutsouris and D.I. Fotiadis, A Robust Unsupervised Epileptic Seizure Detection Methodology to Accelerate Large EEG Database Evaluation, Biomedical Signal Processing and Control, 40 275-285 (2018).
A.233 G. Siasos, J. D. Sara, M. Zaromitydou, K. H. Park, A.U. Coskun, L.O. Lerman, E. Oikonomou, D.I. Fotiadis, K. Stefanou, M. Papafaklis, L.K. Michalis, C. Feldman, A. Lerman, P. H. Stone, Role of Local Low Endothelial Shear Stress in Coronary Microvascular and Epicardial Endothelial Dysfunction in Patients with Non-obstructive Coronary Atherosclerosis, JACC, Volume 136, (suppl_1), A18277-A18277.
A.234 Randomised controlled pilot trial to assess acceptability to patients, carers and clinicians of a mHealth platform for the management of Parkinson’s disease (PD_Manager), A. Antonini, D.I Fotiadis, H. Gage, D. Gatsios, G. Gentile, M. Giglio, A. Marcante, M. ML Touray, BMC Clinical Trials, 19, 492 (2018). https://doi.org/10.1186/s13063-018-2767-4
Α.235 M. Bohanec, D. Miljkovic, A. Valmarska, B.M. Boshkoska, E. Gasparoli, G. Gentile, K. Koutsikos, A. Marcante, A. Antonini, G. Rigas, D. Gatsios, K. Tsiouris, D.I. Fotiadis and S. Konitsiotis, A decision support system for Parkinson disease management: expert models for suggesting medication change, Journal of Decision Systems, 27(sup1), 164–172. https://doi.org/10.1080/12460125.2018.1469320.
A.236 K.M. Tsiouris, V.C. Pezoulas, M.Zervakis, S. Konitsiotis, D.D Koutsouris, D.I. Fotiadis, A Long Short-Term Memory Deep Learning Network for the Prediction of Epileptic Seizures Using EEG Signals, Computers and Biology in Medicine, Volume 99, 2018, Pages 24-37, ISSN 0010-4825, https://doi.org/10.1016/j.compbiomed.2018.05.019.
A.237 M. G. Vavva, K. N Grivas, A. Carlier, D. Polyzos, L. Geris; H. Van Oosterwyck, D. I. Fotiadis, Effect of ultrasound on bone fracture healing: A computational bioregulatory model, Computers in Biology and Medicine, Volume 100, 2018, Pages 74-85, ISSN 0010-4825, https://doi.org/10.1016/j.compbiomed.2018.06.024.
A.238 P.K. Siogkas, M.I. Papafaklis, L. Lakkas, T.P. Exarchos, D. Karmpaliotis, Z.A. Ali, G. Pelosi, O. Parodi, C.S. Katsouras, D.I. Fotiadis, and L. K. Michalis, Virtual Functional Assessment of Coronary Stenoses Using Intravascular Ultrasound Imaging: A Proof-of-Concept Pilot Study, Heart, Lung and Circulation, Volume 28, Issue 4, 2019, Pages e33-e36, ISSN 1443-9506, ttps://doi.org/10.1016/j.hlc.2018.02.011.
A.239 C.V. Bourantas, A. Ramasamy, A. Karagiannis, A. Sakellarios, T. Zanchin, K. Yamaji, Y. Ueki, X. Shen, D. I. Fotiadis, L.K. Michalis, A. Mathur, P. W. Serruys, H. M. Garcia-Garcia, K. Koskinas, R. Torii, S. Windecker, L. Räber, Angiographic derived endothelial shear stress: a new predictor of atherosclerotic disease progression, Eur Heart J Cardiovasc Imaging, Volume 20, Issue 3, March 2019, Pages 314–322, https://doi.org/10.1093/ehjci/jey091
A.240 E. Georga, J. Principe and D.I. Fotiadis, Short-term Prediction of Glucose in Type 1 Diabetes Using Kernel Adaptive Filters, Medical & Biological Engineering & Computing, 57, 27–46 (2019). https://doi.org/10.1007/s11517-018-1859-3
A.241 M. ML Touray, A. Antonini, G. Gentile, M. Giglio, A. Marcante, H. Gage, D.I. Fotiadis, D. Gatsios, S. Konitsiotis, L. Timotijevic, B. Egan, C. Hodgkins, R. Biundo, C. Pellicano, Acceptability to patients, carers and clinicians of a mHealth platform for the management of Parkinson’s disease (PD_Manager): study protocol for a pilot randomised controlled trial, Trials, 19, 492 (2018). https://doi.org/10.1186/s13063-018-2767-4
A.242 K. D. Kourou, V. Pezoulas, E. I. Georga, T.P. Exarchos, M. Tsiknakis, V. Andronikou, T. Varvarigou, S. De Vita, A. Tzioufas, D. I. Fotiadis, Cohort Harmonization and Integrative Analysis from a Biomedical Engineering Perspective, IEEE Reviews on Biomedical Engineering, vol. 12, pp. 303-318, 2019, doi: 10.1109/RBME.2018.2855055.
A.243 P.K. Siogkas, C.D. Anagnostopoulos, R. Liga, T.P. Exarchos, A.I. Sakellarios, G. Rigas, A.J.H.A. Scholte, M.I. Papafaklis, D. Loggitsi, G. Pelosi, O. Parodi, T. Maaniitty, L.K. Michalis, J. Knuuti, D. Neglia, D.I. Fotiadis, Noninvasive CT-based hemodynamic assessment of coronary lesions derived from fast computational analysis: a comparison against fractional flow reserve, European Radiology, Eur Radiol 29, 2117–2126 (2019). https://doi.org/10.1007/s00330-018-5781-8
A.244 A-F. Smyris, V. T. Potsika, I.-I. K. Farmakis, N. Tachos, D.I. Fotiadis, T.A. Xenakis, E. Pakos, The effect of the hip joint endoprosthesis length after a Total Hip Arthroplasty. A biomechanical study, Journal of Orthopaedics, Trauma and Rehabilitation, 2019;26(1):61-66. doi:10.1177/2210491719842678
A.245 C. Anagnostopoulos, P.K. Siogkas, R. Liga, G. Benetos, T. Maaniitty, A.I. Sakellarios, I. Koutagiar I. Karakitsios, M.I. Papafaklis, A.J.H.A. Scholte, L.K. Michalis, O. Gaemperli, P.A. Kaufmann, G. Pelosi, O. Parodi, J. Knuuti, D.I. Fotiadis D. Neglia, Characterization of functionally significant coronary artery disease by a coronary computed tomography angiography (CCTA) based index: a comparison with Positron Emission Tomography (PET), European Heart Journal-Cardiovascular Imaging, Volume 20, Issue 8, August 2019, Pages 897–905, https://doi.org/10.1093/ehjci/jey199
A.246 E.D. Berdouses, E. Tripoliti, D.I. Fotiadis and C.J. Oulis, Histological validation of the automated caries detection system (ACDS) in classifying occlusal caries with the ICDAS II system in vitro, European Archives of Paediatric Dentistry, Eur Arch Paediatr Dent 20, 249–255 (2019). https://doi.org/10.1007/s40368-018-0389-x
A.247 C. Bourantas, T. Zanchin, A. Sakellarios, A. Karagiannis, A. Ramasamy, Anantharaman; K. Yamaji, M. Taniwaki, L.K.Michalis, D. Heg, A. Moschovitis, D.I.Fotiadis,nA. Baumbach, R. Torii, P. Serruys, H. Garcia-Garcia, S. Windecker, L. Raber, Implications of the local hemodynamic forces on the phenotype of coronary plaques, Heart, 2019 105(14), 1078-1086
A.248 K.N. Grivas, M.G. Vavva, D. Polyzos, A. Carlier, L. Geris, H. Van Oosterwyck, and D. I. Fotiadis, Effect of ultrasound on bone fracture healing: A computational mechanobioregulatory model, Journal of Acoustical Society of America, 145(2), 1048-1059.
A.249 A. Sakellarios and D.I. Fotiadis, The pleiotropic effect of statins on the atherosclerotic plaque and coronary heart disease, Trends in Cardiovascular Medicine, 2019, 29(8):456-457. doi: 10.1016/j.tcm.2019.02.001. Epub 2019 Feb 10. PMID: 30770174.
A.250 V.C. Pezoulas, K.D. Kourou, F. Kalantzis, T.P. Exarchos, A. Venetsanopoulou, E. Zampeli, S. Gandolfo, F. Skopouli, S. De Vita, A.G. Tzioufas, D.I. Fotiadis, Medical data quality assessment: on the development of an automated framework for medical data curation, Computers in Biology and Medicine, Volume 107, 2019, Pages 270-283, ISSN 0010-4825, https://doi.org/10.1016/j.compbiomed.2019.03.001.
A.251 E. Tripoliti, G. Karanassiou, Y. Goletsis, T. Kalatzis, K. Naka and D.I. Fotiadis, HEARTEN KMS – A knowledge management system targeting the management of patients with heart failure, Journal of Biomedical Informatics, Volume 94, 2019, 103203, ISSN 1532-0464, https://doi.org/10.1016/j.jbi.2019.103203.
A.252 V.C. Pezoulas, K.D. Kourou, F. Kalatzis, T.P. Exarchos, A. Venetsanopoulou, E. Zampeli, S. Gandolfo, F. Skopouli, S.De Vita, A.G. Tzioufas, and D.I. Fotiadis, Enhancing medical data quality through data curation: a case study in primary Sjögren’s Syndrome, Clinical and Experimental Rheumatology, 2019, 118(3), 90-96.
A.253 A.V. Goules, T.P. Exarchos, V.C. Pezoulas, K. Kourou, A.I. Venetsanopoulou, S. De Vita, D.I. Fotiadis, A.G. Tzioufas, Sjögren’s syndrome towards precision medicine: the challenge of harmonization and integration of cohorts, Clinical and Experimental Rheumatology, 2019, 37 Suppl 118(3):175-184. Epub 2019 Jul 3. PMID: 31464663.
A.254 V.I. Kigka, A.I. Sakellarios, S. Kyriakidis, G. Rigas, L. Athanasiou, P. Siogkas, P. Tsompou, D. Loggitsi, D. Benz, R. Buechel, G. Pelosi, P.A. Lemos, L. K. Michalis, D.I. Fotiadis, A three-dimensional quantification of calcified and non-calcified plaques in coronary arteries based on computed tomography coronary angiography images: comparison with expert’s annotations and virtual histology intravascular ultrasound, Computers in Biology and Medicine, 2019, 113:103409. doi: 10.1016/j.compbiomed.2019.103409. Epub 2019 Aug 27. PMID: 31480007.
A.255 I.-I.K. Farmakis, V.T. Potsika, A.-F. Smyris, I.D. Gelalis, D.I. Fotiadis, E.E. Pakos., A Biomechanical study of the effect of weight loading conditions on the 1 mechanical environment of the hip joint endoprosthesis, Clinical Biomechanics, 2019, 70:197-202. doi: 10.1016/j.clinbiomech.2019.10.002. Epub 2019 Oct 20. PMID: 31655450.
A.256 D Polyzos, DI Fotiadis, Reply to “Discussion of “Derivation of Mindlin’s first and second strain gradient elastic theory via simple lattice and continuum models” by Polyzos and Fotiadis”, International Journal of Solids and Structures, Volumes 191–192, 2020, Pages 646-651, ISSN 0020-7683, https://doi.org/10.1016/j.ijsolstr.2019.11.016.
A.257 K.Kourou, G. Rigas, C. Papaloukas, M. Mitsis, D.I. Fotiadis, Cancer Classification from Time Series Microarray Data through Regulatory Dynamic Bayesian Networks, Computers in Biology and Medicine, 2020, 116:103577. doi: 10.1016/j.compbiomed.2019.103577. Epub 2019 Dec 9. PMID: 32001012.
A.258 K.Kourou, V.C. Pezoulas, E.I. Georga, T.Exarchos, C. Papaloukas, M. Voulgarelis, A. Goules, A. Nezos, A. G. Tzioufas, Η.M. Moutsopoulos, C. Mavragani and D.I. Fotiadis, Predicting lymphoma development in patients with Sjögren’s Syndrome by exploiting genetic variants in a machine learning-based methodology with ensemble classifiers, IEEE Open Journal of Engineering in Medicine and Biology, vol. 1, pp. 49-56, 2020, doi: 10.1109/OJEMB.2020.2965191.
A.259 C.V. Bourantas, L. Räber, A. Sakellarios, Y. Ueki, T. Zanchin, K. C. Koskinas, K. Yamaji, M. Taniwaki, D. Heg, M.D. Radu, M. I. Papafaklis, F. Kalatzis, K. K. Naka, D.I. Fotiadis, A. Mathur, P.W. Serruys, L.K. Michalis, H.M. Garcia Garcia, A. Karagiannis, S. Windecker, Utility of Multimodality Intravascular Imaging and the Local Hemodynamic Forces to Predict Atherosclerotic Disease Progression: A Sub-analysis of the IBIS 4 study, JACC Imaging, 2020, 13 (4) 1021–1032.
Α.260 P. Stone and D.I. Fotiadis, Enhanced Multifactorial Biomechanical Stress Metrics to Predict Plaque Rupture: Rapid Assessment of Morphology and Plaque Structural Stress, JACC: Cardiovascular Imaging, 2020 , 13 (3) 817–819, https://doi.org/10.1016/j.jcmg.2019.02.006
A.261 E.E. Tripoliti, P. Ioannidou, P. Toumpaniaris, A. Rammos, D. Pacitto, G. Quicke, Y. Goletsis, K. K. Naka, A. Errachid, D.I. Fotiadis, Point-of-care testing devices for heart failure analyzing blood and saliva samples, IEEE Reviews on Biomedical Engineering, vol. 13, pp. 17-31, 2020, doi: 10.1109/RBME.2019.2905730.
Α.262 I. Gkiatas, A. Beris, I. Kostas-Agnantis, D. Gatsios; D.Ι. Fotiadis, Α. Korompilias, Microsurgery Training: A Combined Educational Program, Injury, 2020, 51 Suppl 4:S131-S134. doi: 10.1016/j.injury.2020.03.016. Epub 2020 Mar 9. PMID: 32173081.
A.263 K.M. Tsiouris, S. Konitsiotis, D.D. Koutsouris and D.I. Fotiadis, Prognostic Factors of Rapid Symptoms Progression in Patients with Newly Diagnosed Parkinson’s Disease, Journal of Artificial Intelligence in Medicine, Volume 103, 2020, 101807, ISSN 0933-3657, https://doi.org/10.1016/j.artmed.2020.101807.
A.264 L. Timotijevic, C. E. Hodgkins, A. Banks, P. Rusconi, B.M. Egan, M. Peacock, E. Seiss, M.M.L. Touray, H. Gage, C. Pellicano, G. Spalletta, F. Assogna, M. Giglio, A. Marcante, G. Gentile, I. Cikajlo, D. Gatsios, S. Konitsiotis, D.I. Fotiadis, Designing a mHealth Clinical Decision Support System for Parkinson’s Disease A Theoretically Grounded User Needs Approach, BMC Medical Informatics and Decision Making, 20, 34 (2020). https://doi.org/10.1186/s12911-020-1027-1.
A.265 D.Gatsios, A. Antonini, G. Gentile, A. Marcante, C. Pellicano, L. Macchiusi, F. Assogna, G. Spalletta, H. Gage, M. Touray, L. Timotijevic, C. Hodgkins, M. Chondrogiorgi, G. Rigas, D.I. Fotiadis, S. Konitsiotis, mhealth for remote monitoring and management of Parkinson’s disease: determinants of compliance and validation of a tremor evaluation method, JMIR mHealth and uHealth, accepted (2020).
Α.266 V.C. Pezoulas, Κ.D. Kourou, F. Kalatzis, T.P. Exarchos, E. Zampeli, S. Gandolfo, A. Goules, C. Baldini, F. Skopouli, S. De Vita, A.G. Tzioufas, and D.I. Fotiadis, Overcoming the barriers that obscure the interlinking and analysis of clinical data through harmonization and incremental learning, ΙΕΕΕ Open Journal of Engineering in Medicine and Biology, vol. 1, pp. 83-90, 2020, doi: 10.1109/OJEMB.2020.2981258
A.267 A.Sakellarios, J. Correia, S. Kyriakidis, E. Georga, N. Tachos, P. Siogkas, F. Sans, P. Stofella, V. Massimiliano, A. Clemente, S. Rocchiccioli, G. Pelosi, N. Filipovic, D.I. Fotiadis, A cloud-based platform for the non-invasive management of coronary artery disease, Enterprise Information Systems, 14(8), 1102–1123, 2020. https://doi.org/10.1080/17517575.2020.1746975
A.268 K.M. Tsiouris, D. Gatsios, V. Tsakanikas, A.A. Pardalis, I. Kouris, T. Androutsou, M. Tarousi, N. Vujnovic Sedlar, I. Somarakis, F. Mostajeran, Nenad Filipovic, H. op den Akker, D.D. Koutsouris and D.I. Fotiadis, Designing Interoperable Telehealth Platforms: Bridging IoT Devices with Cloud Infrastructures, Enterprise Information Systems, 14(8), 1194–1218, 2020. https://doi.org/10.1080/17517575.2020.1759146.
A.269 D. Gatsios, A. Antonini, G. Gentile, A. Marcante, C. Pellicano, L. Macchiusi, F. Assogna, G. Spalletta, H. Gage, M. Touray, L. Timotijevic, C. Hodgkins, M. Chondrogiorgi, G. Rigas, D.I. Fotiadis, S. Konitsiotis, Feasibility and utility of mhealth for the remote monitoring of Parkinson’s disease: randomised controlled trial, JMIR mHealth uHealth, Vol 8, No 6 (2020).
A.270 B. M. Boshkoska, D. Miljkovic, A. Valmarska, D. Gatsios, G. Rigas, S. Konitsiotis, K.M. Tsiouris, D.I. Fotiadis, M. Bohanec, Decision Support for Medication Change of Parkinson’s Disease Patients, Computer Methods and Programs in Biomedicine, 2020, 196:105552. doi: 10.1016/j.cmpb.2020.105552. Epub 2020 May 29. PMID: 32531652.
A.271 M.L. Olender, Member, L.S. Athanasiou, L. K. Michalis, D.I. Fotiadis, and E.R. Edelman, A Domain Enriched Deep Learning Approach to Classify Atherosclerosis using Intravascular Ultrasound Imaging, IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 6, pp. 1210-1220, 2020, doi: 10.1109/JSTSP.2020.3002385
A.272 C. Chatzaki, A. Goules, S. De Vita, A. Zabotti, C. Delporte, M. Soyfoo, F. Barone, B. Fisher, P. Brito-Zerón, E. Bartoloni, C. Mavragani, D. Fotiadis, A. Tzioufas, M. Tsiknakis, A Training Tool to Support Management and Diagnosis of Sjögren’s Syndrome, Clinical and Experimental Rheumatology, 2020, 38 Suppl 126(4):174-179.
A.273 O.D. Argyropoulou, V. Pezoulas, L. Chatzis, E. Critselis, S. Gandolfo, F. Ferro, L. Quartuccio, V. Donati, E. Treppo, C.R. Bassoli, A. Venetsanopoulou, E. Zampeli, M. Mavrommati, P.V. Voulgari, T.E. Exarchos, C.P. Mavragani, C. Baldini, F.N. Skopouli, M. Galli, D.I. Fotiadis, S. De Vita, H.M. Moutsopoulos, A.G. Tzioufas, A.V. Goules, Cryoglobulinemic Vasculitis in primary Sjögren’s Syndrome: Clinical presentation, association with lymphoma and comparison with Hepatitis C-related disease, Seminars in Arthritis and Rheumatism, 2020, 846-853. doi: 10.1016/j.semarthrit.2020.07.013
A.274 L.Chatzis, V. Pezoulas, F. Ferro, S. Gandolfo, Valentina Donati, Marco Binutti, Sara zandonella Callegher, A. Venetsanopoulou, E. Zampeli, M. Mavrommati, A. Argiropoulou, G. Michalopoulos, P. Vougari, T. Exarchos, C. Baldini, F. Skopouli, D. Fotiadis, S. De Vita, H. Moutsopoulos, A. Tzioufas, A. Goules, Sjögren’s syndrome: the clinical spectrum of male patients, Journal of Clinical Medicine, 2020, 9(8):2620. doi: 10.3390/jcm9082620.
A.275 N. Timmerman, G. Galyfos, F. Sigala, K. Thanopoulou, G.J. de Borst, L. Davidovic, H.-H. Eckstein, N. Filipovic, R. Grugni, M. Kallmayer, D.P.V. de Kleijn, I. Koncar M.D. Mantzaris, E. Marchal, M. Matsagkas, P. Mutavdzic, D. Palombo, G. Pasterkamp, V.T. Potsika, E. Andreakos, D.I. Fotiadis, A new risk stratification model for asymptomatic carotid stenosis, European Journal of Clinical Investigation, 2020, 50(12):e13411. doi: 10.1111/eci.13411.
A.276 K.M. Tsiouris, V. Tsakanikas, D. Gatsios, D.I. Fotiadis, A Review of Virtual Coaching Systems in Healthcare: Closing the Loop with Real-time Feedback, Frontiers Digital Health, accepted, 2, 2020, 567502. https://doi.org/10.3389/fdgth.2020.567502
A.277 V. Tsakanikas, D. Gatsios, D. Dimopoulos, A. Pardalis, M. Pavlou, M.B. Liston, D.I. Fotiadis, Evaluating the performance of balance physiotherapy exercises using a sensory platform: the basis for a persuasive balance rehabilitation virtual coaching system. A Virtual Coach for Balance Disorders, Frontiers Digital Health, 2, 2020, 545885.https://doi.org/10.3389/fdgth.2020.545885
A.278 D.S. Pleouras, A.I. Sakellarios, P. Tsompou, V. Kigka, S. Kyriakidis, S. Rocchiccioli, D. Neglia, J. Knuuti, G. Pelosi, L.K. Michalis, D.I. Fotiadis, Simulation of atherosclerotic plaque growth using computational biomechanics and patient-specific data, Nature Scientific Reports, 10, 17409 (2020). https://doi.org/10.1038/s41598-020-74583-y
A.279 A.V. Goules, O.D. Argyropoulou, V.C. Pezoulas, L. Chatzis, E. Critselis, S. Gandolfo, F. Ferro, M. Binutti, V. Donati, S. Zandonella Callegher, A. Venetsanopoulou, E. Zampeli, M. Mavrommati, P.V. Voulgari, T. Exarchos, C.P. Mavragani, C. Baldini, F.N. Skopouli, D.I. Fotiadis, S. De Vita, H.M. Moutsopoulos, A.G. Tzioufas, Primary Sjögren’s Syndrome of early and late onset: distinct clinical phenotypes and lymphoma development, Frontiers in Immunology, section Autoimmune and Autoinflammatory Disorders, 11, 2020. https://doi.org/10.3389/fimmu.2020.594096.
A.280 M.B. Liston, G. Genna, C. Maurer, D. Kikidis, D. Gatsios, D. I. Fotiadis, D.E. Bamiou, M. Pavlou, Investigating the Feasibility and Acceptability of the HOLOBalance System Compared to Standard Care in Older Adults at Risk for Falls: Study protocol for an assessor blinded pilot randomised-controlled study, BMJ Open, 2021, 11(2):e039254. doi: 10.1136/bmjopen-2020-039254.
A.281 A.S. Ashour, M. Asran, D.I. Fotiadis, Optimal Power for Microwave Slotted Probes in Ablating Different Hepatocellular Carcinoma Sizes, Computers in Biology and Medicine, Volume 127, 2020, 104101, ISSN 0010-4825, https://doi.org/10.1016/j.compbiomed.2020.104101.
A.282 N. Filipovic, D. Nikolic, V. Isailovic, M. Milosevic, V. Geroski, G. Karanasiou, M. Fawdry, A. Flanagan, D.I. Fotiadis and M. Kojic, In vitro and in silico testing of partially and fully bioresorbable vascular scaffold, Journal of Biomechanics, 2021, 115:110158. doi: 10.1016/j.jbiomech.2020.110158.
A.283 A.S. Varshney, A.U. Coskun, G. Siasos, C.C. Maynard, Z. Pu, MD, K.J. Croce, N.V. Cefalo, M.A. Cormier, Dimitrios I. Fotiadis, K. Stefanou, M.I. Papafaklis, Lampros K. Michalis, S. VanOosterhout, A. Mulder, R.D. Madder, P.H. Stone, Spatial Relationships Among Hemodynamic, Anatomic, and Biochemical Plaque Characteristics in Patients with Coronary Artery Disease, Atherosclerosis, 2021, 320:98-104. doi: 10.1016/j.atherosclerosis.2020.12.018.
Α.284 A. Marcante, R. Di Marcο, G. Gentile, C. Pellicano, F. Assogna, F.E. Pontieri, G. Spalletta, L. Macchiusi, D. Gatsios, A. Giannakis, M. Chondrogiorgi, S. Konitsiotis, D.I. Fotiadis, A. Angelo Foot pressure wearable sensors for freezing of gait detection in Parkinson’s disease. Sensors, 2020, 21(1):128. doi: 10.3390/s21010128.
A.285 A.S. Ashour, M. Asran, W.S. Mohamed, and D.I. Fotiadis, Optimal Localization of a Novel Shifted 1T-ring based Microwave Ablation Probe in Hepatocellular Carcinoma, IEEE Transactions of Biomedical Engineering, vol. 68, no. 2, pp. 505-514, Feb. 2021, doi: 10.1109/TBME.2020.3006010.
A.286 K.Kourou, G. Manikis, P. Poikonen-Saksela, K. Mazzocco, R. PatHorenczyk, B. Sousa, A.J. Oliveira-Maia, J. Mattson, I. Roziner, G. Pettini, H. Kondylakis, K. Marias, E. Karademas, P. Simos and D.I. Fotiadis, A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and selfreported psychological traits as predictors of mental health outcomes after breast cancer diagnosis: An initial effort to define resilience effects, Computers in Biology and Medicine, 2021, 131:104266. doi: 10.1016/j.compbiomed.2021.104266.
A.287 N. Ji, T. Xiang, P. Bonato, N.H. Lovell, S-Y. Ooi, D.A. Clifton. M. Akay, X.-R. Ding, B. Yan, V. MoK, D.I. Fotiadis and Y.T. Zhang, Recommendation to Use Wearable – Based mHealth in Closed – Loop Management of Acute CVD Patients during the COVID – 19 Pandemic, IEEE Journal of Biomedical and Health Informatics, 2021, 25(4):903-908. doi: 10.1109/JBHI.2021.3059883.
A.288 A.I. Sakellarios, P. Tsompou, V. Kigka, P. Siogkas, S. Kyriakidis, N. Tachos, G. Karanasiou, A. Scholte, A. Clemente, D. Neglia, O. Parodi, J. Knuuti, L.K. Michalis, G. Pelosi, S. Rocchiccioli, D.I. Fotiadis, Non-invasive prediction of site-specific coronary atherosclerotic plaque progression using lipidomics, blood flow and LDL transport modeling, Applied Sciences, 2021, 11(5), 1976; https://doi.org/10.3390/app11051976.
A.289 V. Skaramagkas, G. Giannakakis, E. Ktistakis, D. Manousos, I. Karatzanis, N.S. Tachos, Member, E. Tripoliti, K. Marias, D.I. Fotiadis, and M. Tsiknakis, Review of eye tracking metrics involved in emotional and cognitive processes, IEEE Reviews in Biomedical Engineering, 2021, 16:260-277. doi: 10.1109/RBME.2021.3066072
A.290 C. Chatzaki, V. Skaramagkas, N. Tachos, G. Christodoulakis, E. Maniadi, Z. Kefalopoulou, D.I. Fotiadis, M. Tsiknakis, The Smart-Insole Dataset: Gait analysis using wearable sensors with a focus on elderly and Parkinson’s patients, Sensors, 2021, 21(8), 2821;https://doi.org/10.3390/s21082821
A.291 Y. Ozaki, K. O. Kuku, A. Sakellarios, M. Haude, A. Hideo-Kajita, S. Desale, P. Siogkas, S. Sioros, H. Ince, A. Abizaid, R. Tölg, P. A. Lemos, C. von Birgelen, E.H. Christiansen, W. Wijns, J. Escaned, L. Michalis, D.I. Fotiadis, R. Waksman, H.M. Garcia-Garcia, Impact of endothelial shear stress on absorption process of resorbable magnesium scaffold: A BIOSOLVE-II substudy, Cardiovascular Revascularization Medicine, Volume 29, 2021, Pages 9-15, ISSN 1553-8389, https://doi.org/10.1016/j.carrev.2021.04.003.
Α.292 G. E. Kalykakis, A.S. Antonopoulos, T. Pitsargiotis, P. Siogkas, T. Exarchos, A. Sakelarios, P. Kafouris, R. Liga, A. Tzifa, A. Giannopoulos, A.J.H.A. Scholte, P.A. Kaufmann, O. Parodi, J. Knuuti, D.I. Fotiadis, D. Neglia, C.D. Anagnostopoulos, Relationship of Endothelial Shear Stress with plaque features by coronary CTA and vasodilating capability by PET, Radiology, 2021, 300(3):549-556. doi: 10.1148/radiol.2021204381.
A.293 D.S. Pleouras, A.I. Sakellarios, G. Rigas, G. Karanasiou, P. Tsompou, G. Karanasiou, V. Kigka, S. Kyriakidis, V. Pezoulas, G. Gois, N. Tachos, A. Ramos, G. Pelosi, S. Rocchiccioli, L.K. Michalis, D.I. Fotiadis, A novel approach to generate a virtual population of human coronary arteries for in silico clinical trials of stent design, IEEE Open Journal in Engineering in Medicine and Biology, 2021, 2:201-209. doi: 10.1109/OJEMB.2021.3082328.
Α.294 A. Rammos, A. Bechlioulis, P. Kalogeras, E.E. Tripoliti, Y. Goletsis, A. Kalivi, E. Blathra, P. Salvo, M.
G. Trivella, T. Lomonaco, R. Fuoco, F. Bellagambi, C.J. Watson, A. Errachid, D.I. Fotiadis, L.K. Michalis, K.K. Naka, Salivary biomarkers for diagnosis and therapy monitoring in patients with heart failure. A systematic review, Diagnostics, 2021, 11(5):824. doi: 10.3390/diagnostics11050824.
A.295 D. Gatsios, A. Antonini, G. Gentile, S. Konitsiotis, D.I. Fotiadis, I. Nixina, P. Taba, C. Weck, Stefan Lorenzl, K. M. Lex, P. Paal, Education on Palliative care for Parkinson patients: development of the “Best Care for People with Late-Stage Parkinson’s Disease” curriculum toolkit, BMC Medical Education, 21, Article number: 538 (2021).
A.296 K. Tsamis, S. Konitsiotis, G. Rigas and D.I. Fotiadis, Accurate monitoring of Parkinson’s disease symptoms with a wearable device during COVID-19 pandemic, in Vivo, 2021, 35(4):2327-2330. doi: 10.21873/invivo.12507.
A.297 P. Mincarone, A. Bodini, S. Sabina, R. Colella, M.R. Tumolo, M. Fawdry, D.I. Fotiadis and C.G. Leo, Simulated Versus Physical Bench Tests: The Economic Evaluation of the InSilc Platform for Designing, Developing and Assessing Vascular Scaffolds, Medicine, 2021, 100(25):e26198. doi: 10.1097/MD.0000000000026198.
A.298 A.I. Sakellarios, D.S. Pleouras, G. Karanasiou1, Panagiota Tsompou1,2, G. Karanasiou, V. Kigka, S. Kyriakidis, G. Rigas, V. Pezoulas, G. Pelosi, S. Rocchiccioli, L.K. Michalis, D.I. Fotiadis, A novel approach to generate a virtual population of human coronary arteries for in silico clinical trials of stent design, IEEE Open Journal of Engineering in Medicine and Biology, 2021, 2:201-209. doi: 10.1109/OJEMB.2021.3082328.
A.299 V.C. Pezoulas, C. Papaloukas, M. Veyssiere, A. Goules, A.G. Tzioufas, V. Soumelis, and D.I. Fotiadis, A computational workflow based on Self Organizing Maps and boosting ensembles for the detection of candidate diagnostic biomarkers of Kawasaki disease using time-series gene expression data, Computational and Structural Biotechnology Journal, Volume 19, 2021, Pages 3058-3068, ISSN 2001-0370, https://doi.org/10.1016/j.csbj.2021.05.036.
A.300 L. Chatzis, A.V. Goules, V. Pezoulas, C. Baldini, S. Gandolfo, F.N. Skopouli, T.P. Exarchos, E. K. Kapsogeorgou, V. Donati, P.V. Voulgari, C.P. Mavragani, V. Gorgoulis, S. De Vita, D.I. Fotiadis, M. Voulgarelis, H.M. Moutsopoulosl, A.G. Tzioufas, A biomarker for lymphoma development in Sjogren’s syndrome: Salivary gland focus score, Journal of Autoimmunity, 2021, 121:102648. doi: 10.1016/j.jaut.2021.102648.
Α.301 V.C. Pezoulas, G.I. Grigoriadis, G. Gkois, N.S. Tachos, T. Smole, Z. Bosnić, M. Pičulin, I. Olivotto, F. Barlocco, M. Robnik-Šikonja, D.G. Jakovljevic, A. Goules, A.G. Tzioufas, D.I. Fotiadis, A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: a case study in two clinical domains, Computers in Biology and Medicine, Volume 134, 2021, 104520, ISSN 0010-4825, https://doi.org/10.1016/j.compbiomed.2021.104520.
A.302 T.Smole, B. Žunkovič, M. Pičulin, E. Kokalj, M. Robnik-Šikonja, M. Kukar, D.I. Fotiadis; V.C. Pezoulas, N.S. Tachos, F. Barlocco, F. Mazzarotto, D. Popović, L.S. Maier, L. Velicki, G.A. MacGowan, I. Olivotto; N. Filipović, D.G. Jakovljević, Z. Bosnic, A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy, Computers in Biology and Medicine, 2021, 135:104648. doi: 10.1016/j.compbiomed.2021.104648.
A.303 N. Tsiknakis, D. Theodoropoulos, G. Manikis, E. Ktistakis, O. Boutsora, A. Berto, F. Scarpa, A. Scarpa, D.I. Fotiadis and K. Marias, Deep Learning for Diabetic Retinopathy Detection and Classification Based on Fundus Images: A Review, Computers in Biology and Medicine, Volume 135, 2021, 104599, ISSN 0010-4825 https://doi.org/10.1016/j.compbiomed.2021.104599.
A.304 P.K. Siogkas, L. Lakkas, A.I. Sakellarios, George Rigas, S. Kyriakidis, K.A. Stefanou, C.D. Anagnostopoulos, A. Clemente, S. Rocchiccioli, G. Pelosi, O. Parodi, M.I. Papafaklis, K.K. Naka, L.K. Michalis, D. Neglia, and D.I. Fotiadis, SmartFFR, a new functional index of coronary stenosis: comparison with invasive FFR data, Frontiers in Cardiovascular Medicine: Cardiovascular Imaging, accepted, Volume 8 – 2021. https://doi.org/10.3389/fcvm.2021.714471
A.305 A.V. Goules, T.P. Exarchos, D.I. Fotiadis, A.G. Tzioufas, The clinical and technical impact of the HarmonicSS project, Clinical and Experimental Rheumatology, 2021, Vol.39, N°6 ,Suppl.133 A.306 P.K. Siogkas, L. Lakkas, A. Sakellarios, G. Rigas, S. Kyriakidis, K.A. Stefanou, C. Anagnostopoulos, A. Clemente, S. Rocchiccioli, G. Pelosi, O. Parodi, M.I. Papafaklis, K.K. Naka, L.K. Michalis, D. Neglia, D.I. Fotiadis, SmartFFR, a new functional index of coronary stenosis: comparison with invasive FFR data, Frontiers in Cardiovascular Medicine, 2021 Vol.39, N°6 ,Suppl.133 https://doi.org/10.55563/clinexprheumatol/u7knfy
A.307 N.Tsiknakis, C. Spanakis, P. Tsompou, G. Karanasiou, G. Karanasiou, A. Sakellarios, G. Rigas, S.
Kyriakidis, M. Papafaklis, S. Nikopoulos, F. Gijsen, L. Michalis, D.I. Fotiadis, K. Marias, IVUS Longitudinal and Axial Registration for Atherosclerosis, Diagnostics, 2021, 11(8):1513. doi: 10.3390/diagnostics11081513.
A.308 V.C. Pezoulas, O. Hazapis, N. Lagopati, T.P. Exarchos, A. V. Goules, A.G. Tzioufas, D.I. Fotiadis, I. G. Stratis, A.N. Yannakopoulos, and V.G. Gorgoulis, Machine Learning Approaches on High Throughput NGS Data to Unveil Mechanisms of Function in Biology and Disease, Cancer in genomics and proteomics, 2021, 18(5):605-626. doi: 10.21873/cgp.20284.
A.309 L. Chatzis, V. Pezoulas, P. Voulgari, C. Baldini, T. Exarchos, D.I. Fotiadis, C. Mavragani, F. Skopouli, H. Moutsopoulos, A. Tzioufas, A. Goules, Combined seronegativity in Sjögren’s Syndrome, Clinical and Experimental Rheumatology, 2021, 39 Suppl 133(6):80-84. doi: 10.55563/clinexprheumatol/47a4kr.
A.310 P.P. Mishra, B.H. Mishra, L.-P. Lyytikäinen, M. Hilvo, M. Juonala, M. Kähönen, N. Hutri-Kähönenh, D. Fotiadis, O.T. Raitakari, R. Laaksonen, T. Lehtimäki, Assessment of plasma ceramides as predictor for subclinical atherosclerosis, Atherosclerosis Plus, 2021, 45:25-31. doi: 10.1016/j.athplu.2021.09.005.
A.311 K. Kourou, K.P. Exarchos, C. Papaloukas, P. Sakaloglou, T.P. Exarchos, and D.I. Fotiadis, Applied Machine Learning in cancer research: a systematic review for patient diagnosis, classification and prognosis, Computational and Structural Biology, 2021, 19:5546-5555. doi: 10.1016/j.csbj.2021.10.006.
Α.312 D.K. Plati, E.E. Tripoliti, A.Bechlioulis, A. Rammos, Iliada Dimou, Lampros Lakkas, C. Watson, K. McDonald, M. Ledwidge, R. Pharithi, J. Gallagher, L.K. Michalis, Y. Goletsis, K.K. Naka, D.I. Fotiadis, A machine learning approach for Chronic Heart Failure diagnosis, Diagnostics, 2021, 11(10), 1863; https://doi.org/10.3390/diagnostics11101863
A.313 V.Kigka, V. Potsika, M. Mantzaris, V. Tsakanikas, I. Koncar, D.I. Fotiadis, Serum Biomarkers in Carotid Artery Disease, Diagnostics, 2021, 11(11):2143. doi: 10.3390/diagnostics11112143.
A.314 N. Kostikis, G. Rigas, S. Konitsiotis, D.I. Fotiadis, Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson’s Disease, Sensors, 2021, 21(23):7801. doi: 10.3390/s21237801.
A.315 A. Sakellarios, P. Siogkas, V. Kigka, P. Tsompou, D. Pleouras, S. Kyriakidis, G. Karanasiou, G. Pelosi, S. Nikopoulos, K.K. Naka, S. Rocchiccioli, L.K. Michalis, D.I. Fotiadis, Error propagation in the simulation of atherosclerotic plaque growth and the prediction of atherosclerotic disease progression, Diagnostics, 2021, 11(12):2306. doi: 10.3390/diagnostics11122306.
A.316 P.G. Vlachoyiannopoulos, L.G. Chatzis, A.V. Goules, O.D. Argyropoulou, A. Englezopoulou, I. Stergiou, M. Voulgarelis, P. Tsanakas, T. Exarchos, V.V. Gorgoulis, D.I. Fotiadis, A.G. Tzioufas, Patient-centered approaches for patients with systemic autoimmune rheumatic diseases: development and evolution, Expert Review of Clinical Immunology, 2022, 18(2):125-133. doi: 10.1080/1744666X.2022.2022477.
A.317 V.C. Pezoulas, K.D. Kourou, C. Papaloukas, V. Triantafyllia, V. Lampropoulou, E. Siouti, M. Papadaki, M. Salagianni, E. Koukaki, N. Rovina, A. Koutsoukou, E.Andreakos, D.I. Fotiadis, A multimodal AI approach for the risk prediction of ICU admission and mortality in hospitalized patients with COVID-19, Diagnostics, 2022, 12(1), 56; https://doi.org/10.3390/diagnostics12010056.
A.318 V.C.Pezoulas, A.Goules, F.Kalatzis, L. Chatzis, K.D. Kourou, A. Venetsanopoulou, T.P. Exarchos, S. Gandolfo, K.Votis, E. Zampeli, J. Burmeister, T. May, M.M. Pérez, I. Lishchuk, T. Chondrogiannis, V. Andronikou, T. Varvarigou, N. Filipovic, M. Tsiknakis, C. Baldini, M. Bombardieri, H. Bootsma, S.J.Bowman, M. S. Soyfoo, D. Parisis, C. Delporte, V. Devauchelle-Pensec, J.-O. Pers, T. Dörner, E. Bartoloni, R. Gerli, R. Giacomelli, R. Johnsson, W.-F. Ng, R. Priori, M. Ramos–Casals, K. Sivils, F. Skopouli, W. Torsten, J.A.G. van Roon, M. Xavier, S. De Vita, A.G. Tzioufas, D.I. Fotiadis, Addressing the clinical unmet needs in primary Sjögren’s Syndrome through the sharing, harmonization and federated analysis of 21 European cohorts, Computational and Structural Biotechnology Journal, Volume 20, 2022, Pages 471-484, ISSN 2001-0370, https://doi.org/10.1016/j.csbj.2022.01.002.
A.319 C.G. Leo, M.R. Tumolo, S. Sabina, R. Colella, V. Recchia, G. Ponzini, D.I. Fotiadis,
A. Bodini, P. Mincarone, Health Technology Assessment for in silico medicine:social, ethical and legal aspects, International Journal of Environmental Research and Public Health, 2022, 19(3):1510. doi: 10.3390/ijerph19031510.
A.320 M. Akay, S. Subramaniam, C. Brenan, P. Bonato, C. Mae, K Waits, B. Wheeler, D.I. Fotiadis, Healthcare Innovations to Address the Challenges of the COVID-19 Pandemic, IEEE Journal of Biomedical and Health Informatics, 2022, 26(7):3294-3302. doi: 10.1109/JBHI.2022.3144941.
A.321 G. Poletti, L. Antonini, L. Mandelli, P. Tsompou, G.K. Karanasiou, M.I. Papafaklis, L. Michalis, D.I. Fotiadis, L. Petrini, G. Pennati, Towards a digital twin of coronary stenting: a suitable and validated image-based approach for mimicking patient-specific coronary arteries, Electronics, 2022, 11(3), 502; https://doi.org/10.3390/electronics11030502.
A.322 D. Zaridis, E. Mylona, N. Tachos, K. Marias, M. Tsiknakis, D.I. Fotiadis, A smart cropping pipeline to improve prostate’s peripheral zone segmentation on MRI using Deep Learning, EAI Endorsed Transactions on Bioengineering and Bioinformatics, 2022, 1(4):173546. DOI:10.4108/eai.24-2-2022.173546
A.323 A. Zarachi, V. Pezoulas, O. Milionis, A.N. Lianou, E. Klouras, I. Komnos, D.I. Fotiadis, I. Katsanioudakis, C. Milionis, A. Liontos, The Impact of Age and Gender and Their Association with Chemosensory Dysfunction, in Hospitalized and Self-Quarantine Patients with Covid-19 Infection, in Epirus, Greece, MAEDICA – a Journal of Clinical Medicine, 2022 , 17(1):28-36. doi: 10.26574/maedica.2022.17.1.28.
A.324 V.C. Pezoulas, N.S. Tachos, G. Gkois, I. Olivotto, F. Barlocco, and D.I. Fotiadis, Bayesian inference-based Gaussian mixture models with optimal components estimation towards large-scale synthetic data generation for in silico clinical trials, IEEE Open Journal of Engineering in Medicine and Biology, vol. 3, pp. 108-114, 2022, doi: 10.1109/OJEMB.2022.3181796.
A.325 V. Kigka, E. Georga, V. Tsakanikas, S. Kyriakidis, P. Tsompou, P. Siogkas, L. Michalis, K. Naka, D. Neglia, S. Rocchiccioli, G. Pelosi, D.I. Fotiadis, A. Sakellarios, Machine Learning Coronary Artery Disease Prediction based on Imaging and non-Imaging data, Diagnostics, 2022, 12(6):1466. doi: 10.3390/diagnostics12061466.
A.326 H. Kondylakis, S. Sfakianakis, V. Kalokyri, N. Tachos, D. Fotiadis, K. Marias, M.Tsiknakis, Data Ingestion for AI in Prostate Cancer, Studies in health technology and informatics, 2022 May, 294:244-248. doi: 10.3233/SHTI220446.
A.327 V.C. Pezoulas, K.D. Kourou, E. Mylona, C. Papaloukas, A. Liontos, D. Biros, O.I. Milionis, C. Kyriakopoulos, K. Kostikas, H. Milionis, and D.I. Fotiadis, ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints, Computers in Biology and Medicine, 2022, 141:105176. doi: 10.1016/j.compbiomed.2021.105176.
A.328 M. Pičulin, T. Smole, Bojan Žunkovič, E. Kokalj, M. Robnik-Šikonja, M. Kukar, D. I. Fotiadis, V.C. Pezoulas, N.S. Tachos, F. Barlocco, F. Mazzarotto, D. Popović, L. Maier, L. Velicki, I. Olivotto, D.G Jakovljević, N.Filipović and Z. Bosnić, Disease progression modeling of hypertrophic cardiomyopathy using machine learning, JMIR Medical Informatics, 2022, 10(2):e30483. doi: 10.2196/30483.
A.329 V.D. Tsakanikas, D. Gatsios, A. Pardalis, K. Tsiouris, E. Georga, D. Bamiou, M. Pavlou, C. Nikitas, D. Kikidis, I. D. Walz, C. Maurer and D. I. Fotiadis, Automated assessment of balance rehabilitation exercises: A data-driven scoring model, JRAT, 2022, 9(3):e37229. doi: 10.2196/37229.
A.330 E. Ktistakis, V. Skaramagkas, D. Manousos, N.S. Tachos, E. Tripoliti, D.I. Fotiadis, M. Tsiknakis, COLET: A Dataset for COgnitive workLoad estimation based on Eye-Tracking, Computer Methods and Programs in Biomedicine, Volume 224, 2022, 106989, ISSN 0169-2607, https://doi.org/10.1016/j.cmpb.2022.106989.
A.331 I. Samara, C.S. Katsouras, A. Semertioglou, A. Vratimos, A.I. Moula, C.A. Dimitriou, M. Theofanis, T. Papadimitropoulou, V. Bouratzis, G. Karanasiou, D.I. Fotiadis, L.K. Michalis, and A.N. Moulas, Histopathological Evaluation of a Retinoic Acid Eluting Stent in a Rabbit Iliac Model, Scientific Reports, 12, Article number: 13305 (2022)
A.332 T. V. Gortsas, S. V. Tsinopoulos, E. Polyzos, L. Pyl, D. I. Fotiadis, D. Polyzos, BEM evaluation of surface octahedral strains and internal strain gradients in 3D-printed scaffolds used for bone tissue regeneration, Journal of the Mechanical Behavior of Biomedical Materials, Volume 125, 2022, 104919, ISSN 1751-6161, https://doi.org/10.1016/j.jmbbm.2021.104919.
A.333 L. Chatzis, I. Stergiou, A. Goules, V. Pezoulas, G. Tsourouflis, D.I. Fotiadis, A. Tzioufas, M. Voulgarelis, Clinical picture, outcome, and predictive factors of lymphoma in primary Sjogren’s syndrome. Results from a harmonized dataset (1981-2021), 2022, 61(9):3576-3585. doi: 10.1093/rheumatology/keab939.
A.334 C. Brown, M. Mantzaris, E. Nicolaou, G. Karanasiou, E. Papageorgiou, G. Curigliano, D. Cardinale, G. Filippatos, N. Memos, K.K. Naka, A. Papakostantinou, P. Vogazianos, E. Ioulianou, C. Shammas, A. Constantinidou, F. Tozzi, D.I. Fotiadis, A. Antoniades, A SystematicReview of miRNAs as Biomarkers for Chemotherapy-Induced Cardiotoxicity in Breast Cancer Patients Reveals Potentially Clinically Informative Panels as well as Key Challenges in miRNA Research, BMC Cardio-Oncology, 8, Article number: 16 (2022).
A.335 D.-E. Bamiou, D. Kikidis, T. Bibas, N. Macdonald, N. Koohi, C. Maurer, F. Wuyts, B. Ihtijarevic, L. Celia, V. Mucci, L. Maes, V. Van Rompaey, P. Van de Heyning; I. Nazareth, T.P. Exarchos, D.I Fotiadis, D.D. Koutsouris, L.M Luxon, Diagnostic accuracy and useability of the EMBalance decision support system for vestibular disorders in primary care: Proof of concept randomised controlled study results, Journal of Neurology, 2022, 269(5):2584-2598. doi: 10.1007/s00415-021-10829-7.
A.336 B. Schmitz, D. Gatsios, C. Peña-Gil, J.R.G. Juanatey, D.C. Prieto, V. Tsakanikas, H. Scharnagl, M. Habibovic, M. Schmidt, M.E. Kleber, G.-J. De Bruijn, H. Malberg, F. Mooren, J. Widdershoven, W. Maerz, D.I. Fotiadis, W.J. Kop, J. Bosch, Patient-centered cardiac rehabilitation by AI-powered lifestyle intervention–the timely approach, Atherosclerosis, 355, 251, (2022).
A.337 L.G. Chatzis, V. Koulouri, C. Baldini, V. C. Pezoulas, P.V. Voulgari, F.N. Skopouli, D.I. Fotiadis, A.G. Tzioufas, A.V. Goules, Clinical and laboratory findings of primary Sjögren’s syndrome patients without sicca symptoms, Clinical and Experimental Rheumatology, 2022, 40(12):2298-2302. doi: 10.55563/clinexprheumatol/gqvyus.
A.338 P.K. Panagopoulos, V.E. Georgakopoulou, A. Kallianos, E. Chatzinikita, V.C. Pezoulas, K. Malagari, D.I. Fotiadis, P. Vlachoyiannopoulos, T. Vassilakopoulos, A.G. Tzioufas, Small airways dysfunction in patients with systemic sclerosis and interstitial lung disease, Frontiers in Medicine, section Rheumatology, 2022, 9:1016898. doi: 10.3389/fmed.2022.1016898.
A.339 E. Stamoulou, C. Spanakis, G.C. Manikis, G. Karanasiou, G. Grigoriadis, T. Foukakis, M.
Tsiknakis, D.I. Fotiadis, K. Marias, Enabling harmonization strategies in multicenter MRI-based radiomics, J. of Imaging, 2022, 8(11), 303; https://doi.org/10.3390/jimaging8110303.
A.340 C. Chatzaki, V. Skaramagkas, Z. Kefalopoulou, N. Tachos, N. Kostikis, F. Kanellos, E. Triantafyllou, E. Chroni, D.I. Fotiadis, M.Tsiknakis, Can gait features help in differentiating Parkinson’s Disease medication states, and severity levels? A Machine Learning approach, Sensors, 2022, 22(24), 9937; https://doi.org/10.3390/s22249937.
A.341 D.I. Zaridis, E. Mylona, N. Tachos, V.C. Pezoulas, G. Grigoriadis, N. Tsiknakis, K. Marias, M. Tsiknakis, D.I. Fotiadis, Region-Adaptive Magnetic Resonance Image Enhancement for 2 improving CNN-based segmentation of the prostate and prostatic 3 zones, Scientific Reports, 13, Article number: 714 (2023).
A.342 J. A. López-Rodríguez, T. Gómez-Gascón, M. Á. Rayo-Gómez, Isabel del Cura-González, F. Domínguez-Berjón, D. Esteban-Vasallo, J.P. Chalco-Orrego, E. Vicente-Rabaneda, C. Baldini, C. Seghieri, A. V. Goules, D.I. Fotiadis, A.G. Tzioufas Prevalence and comorbidities of Sjogren’s syndrome patients in the Community of Madrid: A population-based cross-sectional study, Joint Bone Spine, Volume 90, Issue 4, 2023, 105544, ISSN 1297-319X, https://doi.org/10.1016/j.jbspin.2023.105544.
Α.343 F.S. Konstantakopoulos, E.I. Georga, and D.I. Fotiadis, An Automated Image-Based Dietary Assessment System for Mediterranean Foods, IEEE Open Journal in Engineering in Medicine and Biology, vol. 4, pp. 45-54, 2023, doi: 10.1109/OJEMB.2023.3266135.
Α.344 S. Kyriakidis, G. Rigas, V. Kigka, D. Zaridis, G. Karanasiou, P. Tsompou, G. Karanasiou, L. Lakas, S. Nikopoulos, K.K. Naka, L.K. Michalis, D.I. Fotiadis and A.I. Sakellarios, An All-in-One Tool for the 2D Atherosclerotic Disease Assessment and 3D Coronary Artery Reconstruction, Journal of Cardiovascular Development and Disease, 2023, 10(3):130. doi: 10.3390/jcdd10030130.
Α.345 A. Zarachi , A.D. Lianou , V. Pezoulas , I. Komnos , O. Milionis , D.I. Fotiadis , H. Milionis , I.G. Kastanioudakis , A. Liontos, Visual Analogue Scale for the Evaluation of Olfactory and Gustatory Dysfunction of COVID-19 Patients in Northwestern Greece, Cureus, 2023, 15(3):e36413. doi: 10.7759/cureus.36413.
A.346 A. Dovrou, K. Nikiforaki, D. Zaridis, G.C. Manikis, E. Mylona, N. Tachos, M. Tsiknakis, D.I. Fotiadis and K. Marias, A segmentation-based method improving the performance of N4 bias field correction on T2weighted MR imaging data of the prostate, Magnetic Resonance Imaging, 2023, 101:1-12. doi: 10.1016/j.mri.2023.03.012.
A.347 S. De Vita, Miriam Isola, C. Baldini, A.V. Goules, L.G. Chatzis, L. Quartuccio, A.Zabotti, I. Giovannini, V. Donati, F. Ferro, M.T. Rizzo, V. Manfrè, E. Pegolo, M. Voulgarelis, F. Zaja, R. Fanin, C. Masaoutis, D. Rontogianni, D.I. Fotiadis, M. Ponzoni, A.G. Tzioufas, Predicting lymphoma in Sjögren’s syndrome and the pathogenetic role of parotid microenvironment through precise parotid swelling recording, Pheumatology, Volume 62, Issue 4, April 2023, Pages 1586–1593, https://doi.org/10.1093/rheumatology/keac470.
A.348 K. Bitzogli, E. Jahaj, A.-D. Bakasis, E.K. Kapsogeorgou, A.V. Goules, I. Stergiou, V. Pezoulas, C. Antoniadou, P. Skendros, K. Ritis, D.I. Fotiadis, A. Kotanidou, A.G Tzioufas, P.G Vlachoyiannopoulos, Incidence of autoantibodies related to systemic autoimmunity in patients with severe COVID-19 admitted to the intensive care unit, Clinical and Experimental Rheumatology, 2023, 41(5):1024-1033. DOI: 10.55563/clinexprheumatol/2remcx.
A.349 N. Tsiknakis, C. Spanakis, P. Tsoumpou, G. Karanasiou, G. Karanasiou, A. Sakellarios, G. Rigas, S. Kyriakidis, M.I. Papafaklis, S. Nikopoulos, F. Gijsen, L.K. Michalis, D.I. Fotiadis, K. Marias, OCT sequence registration before and after percutaneous coronary intervention (stent implantation), Biomedical Signal Processing and Control 79, Volume 79, Part 1, 2023, 104251, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2022.104251.
A.350 D. Fanidis, V. Pezoulas, D.I. Fotiadis and V. Aidinis, An explainable machine learning-driven proposal of pulmonary fibrosis biomarkers, Computational and Structural Biotechnology Journal, Volume 21, 2023, Pages 2305-2315, ISSN 2001-0370, https://doi.org/10.1016/j.csbj.2023.03.043.
A.351 V. Skaramagkas, E. Ktistakis, D. Manousos, E. Kazantzaki, N.S. Tachos, E. Tripoliti, D.I. Fotiadis, M. Tsiknakis, eSEE-d: Emotional State Estimation based on Eye-tracking Dataset, Brain Sciences, 2023, 13(4), 589; https://doi.org/10.3390/brainsci13040589.
A.352 F.S. Kanellos, K.I. Tsamis , G. Rigas, Y.V. Simos, A.P. Katsenos, G. Kartsakalis, D.I. Fotiadis, P. Vezyraki, D. Peschos, S. Konitsiotis, Clinical Evaluation in Parkinson’s disease: Is the golden standard
shiny enough?, Sensors, 2023, 23(8), 3807; https://doi.org/10.3390/s23083807.
A.353 V. Tsakanikas, A. Ntanis, G. Rigas, C. Androutsos, D. Boucharas, N. Tachos, V. Skaramagkas, C. Chatzaki, Z. Kefalopoulou, M. Tsiknakis, D.Fotiadis, Evaluating Gait Impairment in Parkinson’s Disease from Instrumented Insole and IMU Sensor Data, Sensors, 2023, 23(8), 3902; https://doi.org/10.3390/s23083902.
A.354 K. Kourou, G. Manikis, E. Mylona, P. Poikonen-Saksela, K. Mazzocco, R. Pat-Horenczyk, B. Sousa, A. J. Oliveira-Maia, J. Mattson, I. Roziner, G. Pettini, H. Kondylakis, K. Marias, M. Nuutinen, E. Karademas, P. Simos and Dimitrios I. Fotiadis, Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: A multicenter breast cancer prospective study, Scientific Reports, 13, Article number: 7059 (2023).
A.355 G. Manikis, N. J. Simos, K. Kourou, H. Kondylakis, P. Poikonen-Saksela, K. Mazzocco, R. Pat-Horenczyk, B. Sousa, A. J. Oliveira-Maia, J. Mattson, I. Roziner, C. Marzorati, K. Marias, M. Nuutinen, E. Karademas and D. I. Fotiadis, Personalized risk analysis to improve psychological resilience of women undergoing treatment for breast cancer: A Machine Learning-driven Clinical Decision Support Tool, JMIR, 2023 Jun 12;25:e43838. doi: 10.2196/43838.
A.356 F.S. Konstantakopoulos, E.I. Georga, D.I. Fotiadis, A Review of Image-based Food Recognition and Volume Estimation Artificial Intelligence Systems, IEEE Reviews in Biomedical Engineering, 2024, 17:136-152. doi: 10.1109/RBME.2023.3283149.
A.357 M.H.G. Monje, S. Grosjean, M. Srp, L. Antunes, R. Bouça-Machado, R. Cacho, S. Domínguez, J. Inocentes, T. Lynch, A. Tsakanika, D.I. Fotiadis, G. Rigas, E. Růžička, J. Ferreira, A. Antonini, N. Malpica, T. Mestre, Á. Sánchez-Ferro, iCARE-PD Consortium, Co-Designing Digital Technologies for Improving Clinical Care in People with Parkinson’s Disease: What Did We Learn?, Sensors, 2023, 23(10), 4957; https://doi.org/10.3390/s23104957.
A.358 A.Alexandraki, E. Papageorgiou, M. Zacharia, K. Keramida, A. Papakonstantinou, C.M. Cipolla, D. Tsekoura, K. Naka, K. Mazzocco, D. Mauri, M. Tsiknakis, G.C. Manikis, K. Marias, Y. Marcou, E. Kakouri, I. Konstantinou, M. Daniel, M. Galazi, E. Kampouroglou, D. Ribnikar, C. Brown, G. Karanasiou, A. Antoniades, D. Fotiadis, G. Filippatos, A. Constantinidou, New Insights in the Era of Clinical Biomarkers as Potential Predictors of Systemic Therapy-Induced Cardiotoxicity in Women with Breast Cancer: A Systematic Review, Cancers, 2023, 15(13):3290. doi: 10.3390/cancers15133290.
A.359 J. B. Cortes, T. G. Gascón, B. Benito-Sánchez, M.F. Domínguez Berjón, M.D. Esteban Vasallo, J.P. Chalco Orrego, E.F. Vicente-Rabaneda, C. Baldini, C. Seghieri, A.V. Goules, D.I. Fotiadis, A.G. Tzioufas, Utilization of primary healthcare services by Sjögren’s syndrome patients in the Community of Madrid and associated factors: A population-based cross-sectional study, Clinical and Experimental Rheumatology, 2023, 41(12):2397-2408. doi: 10.55563/clinexprheumatol/ne3r87.
A.360 A. Rammos, A. Bechlioulis, P. Kalogeras, C. J. Watson, P. Salvo, T. Lomonaco, O. Kardakari, E.E.Tripoliti, Y. Goletsis, D.I. Fotiadis, C.S. Katsouras, L.K. Michalis and K.K. Naka, The Potential Role of Salivary NT-proBNP in Heart Failure, Life, 2023, 13(9):1818. doi: 10.3390/life13091818.
A.361 J. Bruinsmaa, I Hegerb, V.S. Loukasc, T. Kassiotise , G. Karanasiouc, D.I. Fotiadisc, S. Hankef and R. Crutzen, Public Perspectives on Lifestyle-Related Behavior Change for Dementia Risk Reduction: An Exploratory Qualitative Study in The Netherlands, Journal of Alzheimer’s Disease, 2023;95(4):1635-1642. doi: 10.3233/JAD-230217.
A.362 G. Papanastasiou, G. Yang, D.I. Fotiadis, N. Dikaios, C. Wang, A. Huda, L. Sobolevsky, J. Raasch, E. Perez, G. Sidhu, D. Palumbo, Large-scale deep learning analysis for identifying adult patients at risk for combined and common variable immunodeficiencies, Nature Communications in Medicine, 3, Article number: 189 (2023).
A.363 E.C. Karademas, E. Mylona, K. Mazzocco, R. Pat-Horenczyk, B. Sousa, A.J. Oliveira-Maia, J. Oliveira, I. Roziner, G. Stamatakos, F. Cardoso, H. Kondylakis, E. Kolokotroni, K. Kourou, R. Lemos, I. Manica, G. Manikis, C. Marzorati, J. Mattson, L. Travado, C. Tziraki-Segal, D.I. Fotiadis, P. Poikonen-Saksela, and P. Simos, Well-being Trajectories in Breast Cancer and Their Predictors: A Machine-Learning Approach, Physcho – Oncology, 2023, 32(11):1762-1770. doi: 10.1002/pon.6230.
A.364 C.S. Katsouras, A.Tousis, G. Vasilagkos, A.Semertzioglou, A. Vratimos, I. Samara, G.Karanasiou, V.S Loukas, G. Tsigkas, D.I. Fotiadis, L.K. Michalis, P. Davlouros, A.N. Moulas, Safety and efficacy of an innovative everolimus-coated balloon in a swine coronary artery model, Life, 2023, 13(10):2053. doi: 10.3390/life13102053.
A.365 V.C. Pezoulas, F. Kalatzis, T.P. Exarchos, A. Goules, A.G. Tzioufas, and D.I. Fotiadis, FHBF: Federated hybrid boosted forests with dropout rates for 2 supervised learning tasks across highly imbalanced clinical datasets, Patterns, Volume 5, Issue 1, 2024, 100893, ISSN 2666-3899, https://doi.org/10.1016/j.patter.2023.100893.
A.366 P. Syringas, T. Economopoulos, I. Kouris, I. Kakkos, G. Papagiannis, A. Triantafyllou, N. Tselikas, G.K. Matsopoulos, D.I. Fotiadis, Rehabotics: A Comprehensive Rehabilitation Platform for Post-Stroke Spasticity, Incorporating a Soft Glove, a Robotic Exoskeleton Hand and Augmented Reality Serious Games, Engineering Proceedings, 2023, 50(1), 2; https://doi.org/10.3390/engproc2023050002.
Α.367 F.S. Konstantakopoulos, E.I. Georga and D.I. Fotiadis, A novel approach to estimate the weight of food items based on 2 features extracted from an image using boosting algorithms, Scientific Reports, 13, Article number: 21040 (2023)
A.368 K. Nowakowska, A. Sakellarios, J. Kaźmierski, D. I. Fotiadis, V. C. Pezoulas, Prediction of depression and delirium among patients with cardiovascular disease scheduled for cardiac surgery using an AI-empowered pipeline, Diagnostics, 2023, 14(1):67. doi: 10.3390/diagnostics14010067.
A.369 V. Kalokyri, H. Kondylakis, S. Sfakianakis, K. Nikiforaki, I. Karatzanis, S. Mazzetti, N.Tachos, D. Regge, D.I. Fotiadis, K. Marias, and M. Tsiknakis, MI-Common Data Model: Extending Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM) for Registering Medical Imaging Metadata and Subsequent Curation Processes, JCO, Clinical Cancer Informatics, volume 7, 2023, https://doi.org/10.1200/CCI.23.001
A.370 S.V, Kallivokas, L.C. Kontaxis, S. Psarras, M. Roumpi, O. Ntousi, I. Kakkos, D. Deligianni, G.K. Matsopoulos, D.I. Fotiadis, V. Kostopoulos, A Combined Computational and Experimental Analysis of PLA and PCL Hybrid Nanocomposites 3D Printed Scaffolds for Bone Regeneration, Biomedicines, 2024, 12(2), 261; https://doi.org/10.3390/biomedicines12020261
A.371 P.K. Panagopoulos, V.E. Georgakopoulos, V.C. Pezoulas, K. Malagari, D.I. Fotiadis, A.V. Goules, T. Vassilakopoulos, A.G. Tzioufas, Comparison of pulmonary and small airways function between idiopathic inflammatory myopathies patients with and without interstitial lung disease, Clinical and Experimental Rheumatology, 2024, 42(2):337-343. doi: 10.55563/clinexprheumatol/v22yge.
A.372 L. Lopez-Perez, E. Georga, C. Conti, V. Vicente, R. García, L. Pecchia, D. Fotiadis, L. Licitra, M Fernanda Cabrera, M.T. Arredondo, G. Fico, Statistical and machine learning methods for cancer research and clinical practice: a systematic review, Biomedical Signal Processing and Control, Volume 92, 2024, 106067, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2024.106067.
A.373 D.I. Zaridis, E. Mylona, N. Tachos, C.Ν. Kalantzopoulos, K. Marias, M. Tsiknakis, G.K. Matsopoulos, D.D. Koutsouris, D.I. Fotiadis, ResQu-Net: Effective prostate’s peripheral zone segmentation leveraging the representational power of attention-based mechanisms, Biomedical Signal Processing and Control, Volume 93, 2024, 106187, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2024.106187.
A.374 D.S. Pleouras, V.S. Loukas, G. Karanasiou, C. Katsouras, A. Semertzioglou, A.N. Moulas, L.K. Michalis and DI. Fotiadis, A strategy for the in-silico assessment of drug eluting stents: A comparative study for the evaluation of Retinoic Acid as a novel drug candidate for drug eluting stents, IEEE Open Journal in Engineering in Biology and Medicine, 2024. doi: 10.1109/OJEMB.2024.3402057
A.375 D.I. Zaridis, E. Mylona, N. Tsiknakis, N.S. Tachos, G.K. Matsopoulos, K. Marias, M. Tsiknakis and D.I. Fotiadis, ProLesA-Net: A multi-channel 3D architecture for Prostate MR lesion segmentation with multi-scale Channel and Spatial attentions, Patterns, Volume 5, Issue 7, 100992, ISSN 2666-3899, https://doi.org/10.1016/j.patter.2024.100992.
A.376 S. Nikopoulos, M.I. Papafaklis, P. Tsompou, A. Sakellarios, P. Siogkas, S. Sioros, D.I. Fotiadis, C.S. Katsouras, K.K. Naka, D. Nikas and L.K. Michalis, Virtual Hemodynamic Assessment of Coronary Lesions: The Advent of Functional Angiography and Coronary Imaging, J. Clin. Med. 13, 2243 (2024).
A.377 G. Papagiannis, Α. Triantafyllou, K.G. Yiannopoulou, G. Georgoudis, M. Kyriakidou, P. Gkrilias, A.Z. Skouras, X. Bega, D. Stasinopoulos, G. Matsopoulos, P. Syringas, N. Tselikas, O. Zestas, V. Potsika, A. Pardalis, C. Papaioannou, V. Protopappas, N. Malizos, N. Tachos & D.I. Fotiadis, Hand Dexterities Assessment in stroke patients based on Augmented Reality and Machine Learning through a Box and Block Test, Scientific Reports, 14, Article number: 10598 (2024).
Α.378 K. Nikiforaki, I. Karatzanis, A. Dovrou, M. Bobowicz, K. Gwozdziewicz, O. Diaz, M. Tsiknakis,
D.I. Fotiadis, K. Lekadir, K. Marias, Image Quality Assessment tool for conventional and dynamic MRI acquisitions, J. of Imaging, accepted 2024, 10(5), 115; https://doi.org/10.3390/jimaging10050115.
A.379 O.D. Papagiannopoulos, V.C. Pezoulas, C. Papaloukas, D.I. Fotiadis, 3D Clustering of Gene Expression Data from Systemic Autoinflammatory Diseases Using Self-Organizing Maps (Clust3D), Computational and Structural Biotechnology Journal, Volume 23, 2024, Pages 2152-2162, ISSN 2001-0370, https://doi.org/10.1016/j.csbj.2024.05.003.
A.380 V. Pezoulas, D.I. Fotiadis, The pivotal role of data harmonization in revolutionizing global healthcare: a framework and a case study, Connected Health And Telemedicine, accepted (2024).
A.381 H. Kondylakis, R. Catalan, S. Alabart, C. Barelle, P. Bizopoulos, M. Bobowicz, J. Bona, D. I Fotiadis, T. Garcia, I. Gomez, A. Jimenez-Pastor, G. Karatzanis, K. Lekadir, M. Kogut-Czarkowska, A. Lalas, K. Marias, L. Marti-Bonmati, J. Munuera, K. Nikiforaki, M. Pelissier, F. Prior, M. Rutherford, L. Saint-Aubert, Z. Sakellariou, K. Seymour, T. Trouillard, K. Votis, M. Tsiknakis, Documenting the de-identification process of clinical and imaging data for AI for health imaging projects, Insights into Imaging, 15, Article number: 130 (2024).
Α.382 A. V. Goules, L. Chatzis, V. Pezoulas, M. Patsouras, C. Mavragani, L. Quartuccio, C. Baldini, S. De Vita5 PhD, D.I. Fotiadis, A.G. Tzioufas, Identification and evolution of predictors for Sjogren’s Disease associated MALT lymphoma development across time, using multicenter harmonized datasets of patients, Lancet Rheumatology, Volume 6, Issue 10, e693 – e702.
Α.383 M. Pavlou, C.A. Flavell, F. Mostajeran, C. Nikitas, D. Kikidis, A. Bibas, D. Gatsios, V. Tsakanikas, D.I. Fotiadis, D. Koutsouris, F. Steinicke, I. Walz, C. Maurer, D.-E. Bamiou, Feasibility and acceptability of the HOLObalance telerehabilitation system compared with standard care for older adults at risk of falls: The HOLOBalance assessor blinded pilot randomized controlled study, Age and Ageing, accepted (2024).
A.384 E. Mylona, D.I. Zaridis, C.Ν. Kalantzopoulos, N. Tachos, D. Regge, N. Papanikolaou, M. Tsiknakis, K. Marias, ProCAncer-I Consortium, and D. I. Fotiadis, Optimizing Radiomics for Prostate Cancer Diagnosis: A Multi-Centric Assessment of Feature Selection Strategies, Machine learning Classifiers, and MRI sequences, Insights into Imaging, accepted(2024).
Α.385 V.C. Pezoulas, D.I. Zaridis, E. Mylona, C. Androutsos, K. Apostolidis, N.S. Tachos, and D.I. Fotiadis, Synthetic data generation methods in healthcare: a review on open-source tools and methods, Computational and Structural Biology, Volume 23, 2024, Pages 2892-2910, ISSN 2001-0370, https://doi.org/10.1016/j.csbj.2024.07.005.
A.386 Scarpa, F., Berto, A., Tsiknakis, N., Manikis, G., Fotiadis, D. I., Marias, K., & Scarpa, A. (2024). Automated analysis for glaucoma screening of retinal videos acquired with smartphone-based ophthalmoscope. Heliyon, Volume 10, Issue 14.
A.387 A. Koloi, V.S. Loukas, C. Hourican, A.I. Sakellarios, R. Quax, P.P. Mishra, T. Lehtimäki, O.T. Raitakari, C. Papaloukas, A. Koloi, J.A. Bosch, W. März, D.I.Fotiadis, Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data, European Heart Journal – Digital Health, Volume 5, Issue 5, September 2024, Pages 542–550, https://doi.org/10.1093/ehjdh/ztae049.
A.388 G. Galyfos, G. Charalampopoulos, G. Karagiannis, N. Liasis, I. Koncar, P. Siogkas, D.I. Fotiadis, K. Filis, and F. Sigala, Factors Associated with High-Risk Plaque Characteristics Among Patients with Medium to Severe Carotid Artery Stenosis, Annals of Vascular Surgery, 108, pp. 325-332, (2024).
A.389 M.A. Christou, P.A. Christou, D.N. Katsarou, E.I. Georga, C. Kyriakopoulos, G. Markozannes, G.A. Christou, D.I. Fotiadis, S. Tigas, Effect of body weight on glycaemic indices in people with type 1
diabetes using continuous glucose monitoring, Journal of Clinical Medicine, 13(17), 5303.
A.390 V. Kigka, A. Carrozzi, L.L. Gramegna, P. Siogkas, V. Potsika, V. Tsakanikas, M. Kallmayer, V. Obach, V. Rimbau, G. Spinella, G. Pratesi, L. Cirillo, D.N. Manners, R. Pini, G. Faggioli, G.J. de Borst, G. Galyfos, F. Sigala, P. Mutavdzic, M. Jovanovic, I. Koncar and D. Fotiadis, Silent Brain Ischemia within the TAXINOMISIS Framework: Association with Clinical and Advanced Ultrasound Metrics, Frontiers in Neurology, section Stroke, volume 15, 2024. doi: 10.3389/fneur.2024.1424362
A.391 P.K. Siogkas, D. Pleouras, V.Pezoulas, V. Kigka, V. Tsakanikas, E. Fotiou, V. Potsika, G. Charalampopoulos, G. Galyfos, F. Sigala, I. Koncar, D.I. Fotiadis, Combining Computational Fluid Dynamics, Structural Analysis and Machine Learning to predict cerebrovascular events: a mild ML approach, Diagnostics, accepted (2024).
Α.392 Pezoulas, V. C., Kalatzis, F., Exarchos, T. P., Goules, A., Tzioufas, A. G., & Fotiadis, D. I. (2024). FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets. Patterns, 5(1).
A.393 Panagopoulos, P. K., Georgakopoulou, V. E., Pezoulas, V. C., Malagari, K., Fotiadis, D. I., Goules, A. V., … & Tzioufas, A. G. (2024). Comparison of pulmonary and small airways function between idiopathic inflammatory myopathies patients with and without interstitial lung disease. Clinical and Experimental Rheumatology, 42, 337-343.
A.394 Samara, I., Moulas, A. N., Karanasiou, G., Papadimitropoulou, T., Fotiadis, D., Michalis, L. K., & Katsouras, C. S. (2024). Is it time for a retinoic acid-eluting stent or retinoic acid-coated balloon? Insights from experimental studies of systemic and local delivery of retinoids. Hellenic Journal of Cardiology, 76, 75-87.
A.395 Berto, A., Scarpa, F., Tsiknakis, N., Manikis, G., Fotiadis, D. I., Marias, K., & Scarpa, A. (2024). Automated analysis of fundus images for the diagnosis of retinal diseases: a review. Research on Biomedical Engineering, 40(1), 225-251.
A.396 Gkikas, S., Tachos, N. S., Andreadis, S., Pezoulas, V. C., Zaridis, D., Gkois, G., … & Fotiadis, D. I. (2024). Multimodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures. Frontiers in Pain Research, 5, 1372814.
A.397 Ashour, A. S., Abd El-Wahab, B. S., Wahba, M. A., & Fotiadis, D. I. (2024). DMpDP: a Diagnostic Multiple-patient DermoFeature Profile store-and-forward teledermoscopy system. Medical & Biological Engineering & Computing, 62(4), 973-996.
A.398 Bruinsma, J., Loukas, V. S., Kassiotis, T., Heger, I., Rosenberg, A., Visser, L. N., … & Crutzen, R. (2024). Socio-cognitive determinants of lifestyle behavior in the context of dementia risk reduction: a population-based study in the Netherlands. Journal of Alzheimer’s Disease, (Preprint), 1-12.
A.399 Panagopoulos, P., Chatzis, L., Chatzinikita, E., Pezoulas, V., Malagari, K., Fotiadis, D. I., … & Goules, A. V. (2024). AB0851 CLINICAL AND RESPIRATORY FEATURES OF PRIMARY SJÖGREN’S DISEASE PATIENTS WITH INTERSTITIAL LUNG DISEASE.
A.400 M Sestayo Fernandez, L Chondromatidou, G Notas, D Gatsios, V Tsakanikas, K Marias, D I Fotiadis, C Pena Gil, J R Gonzalez-Juanatey, F C Mooren, B Schmitz, On behalf of TIMELY, Taking cardiac rehabilitation to the doctor’s office: a rule-based exercise prescription tool using cdss for phase iii cardiac rehabilitation, European Journal of Preventive Cardiology, Volume 31, Issue Supplement_1, June 2024, zwae175.118, https://doi.org/10.1093/eurjpc/zwae175.118
A. 401 Vezakis, I. A., Georgas, K., Fotiadis, D., & Matsopoulos, G. K. (2024). EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder. arXiv preprint arXiv:2407.16298.