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ORCIDDimitrios I. Fotiadis
Dimitris I. Fotiadis
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- affiliation: University of Ioannina, Greece
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2020 – today
- 2025
[j137]Luca Antonini, Gianluca Poletti, Georgia S. Karanasiou, Antonis I. Sakellarios, Dimitrios I. Fotiadis, Lorenza Petrini, Giancarlo Pennati, Francesca Berti:
A computational workflow for modeling complex patient-specific coronary stenting cases. Comput. Methods Programs Biomed. 259: 108527 (2025)- 2024
- [j136]Laura Lopez-Perez
, Eleni I. Georga, Carlo Conti, Victor Vicente, Rebeca García, Leandro Pecchia, Dimitrios I. Fotiadis, Lisa Licitra, María Fernanda Cabrera, María Teresa Arredondo, Giuseppe Fico:
Statistical and machine learning methods for cancer research and clinical practice: A systematic review. Biomed. Signal Process. Control. 92: 106067 (2024) - [j135]Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Charalampos Kalantzopoulos, Kostas Marias, Manolis Tsiknakis, George K. Matsopoulos, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
ResQu-Net: Effective prostate's peripheral zone segmentation leveraging the representational power of attention-based mechanisms. Biomed. Signal Process. Control. 93: 106187 (2024) - [j134]Katerina Nikiforaki, Ioannis Karatzanis, Aikaterini Dovrou, Maciej Bobowicz, Katarzyna Gwozdziewicz, Oliver Díaz, Manolis Tsiknakis, Dimitrios I. Fotiadis, Karim Lekadir, Kostas Marias:
Image Quality Assessment Tool for Conventional and Dynamic Magnetic Resonance Imaging Acquisitions. J. Imaging 10(5): 115 (2024) - [j133]Amira S. Ashour, Basant S. Abd El-Wahab, Maram A. Wahba, Dimitrios I. Fotiadis:
DMpDP: a Diagnostic Multiple-patient DermoFeature Profile store-and-forward teledermoscopy system. Medical Biol. Eng. Comput. 62(4): 973-996 (2024) - [j132]Vasileios C. Pezoulas, Fanis G. Kalatzis, Themis P. Exarchos, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis:
FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets. Patterns 5(1): 100893 (2024) - [j131]Dimitrios I. Zaridis, Eugenia Mylona, Nikos Tsiknakis, Nikolaos S. Tachos, George K. Matsopoulos, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis:
ProLesA-Net: A multi-channel 3D architecture for prostate MRI lesion segmentation with multi-scale channel and spatial attentions. Patterns 5(7): 100992 (2024) - [c270]Ourania Manta, Nikolaos Vasileiou, Olympia Giannakopoulou, Konstantinos Bromis, Ioannis N. Kouris, Maria Haritou, Lefteris Koumakis, George Spanoudakis, Irina E. Nicolae, C. Septimiu Nechifor, Miltiadis Kokkonidis, Michalis Vakalelis, Yorgos Goletsis, Maria Roumpi, Dimitrios I. Fotiadis, Heraklis Galanis, Panagiotis Dimitrakopoulos, George K. Matsopoulos, Dimitrios D. Koutsouris:
Architectural Design for Enhancing Remote Patient Monitoring in Heart Failure: A Case Study of the RETENTION Project. BIOSTEC (2) 2024: 708-715 - [c269]Sara Colantonio, Andrea Berti, Gianluca Carloni, Claudia Caudai, Giulio Del Corso, Danila Germanese, Eva Pachetti, Maria Antonietta Pascali, Varvara Kalokyri, Haridimos Kondylakis, Charalampos Kalantzopoulos, Nikolaos S. Tachos, Dimitris I. Fotiadis, Valentina Giannini, Simone Mazzetti, Daniele Regge, Nickolas Papanikolaou, Konstantinos Marias, Manolis Tsiknakis:
Data and System Traceability for Transparent AI in Medical Imaging. SEBD 2024: 615-623 - [i4]Ioannis A. Vezakis, Konstantinos Georgas, Dimitrios I. Fotiadis, George K. Matsopoulos:
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder. CoRR abs/2407.16298 (2024) - 2023
- [j130]Nikos Tsiknakis, Constantinos Spanakis, Panagiota Tsoumpou, Georgia S. Karanasiou, Gianna E. Karanasiou, Antonis I. Sakellarios, George Rigas, Savvas Kyriakidis, Michail I. Papafaklis, Sotiris Nikopoulos, Frank Gijsen, Lampros K. Michalis, Dimitrios I. Fotiadis, Kostas Marias:
OCT sequence registration before and after percutaneous coronary intervention (stent implantation). Biomed. Signal Process. Control. 79(Part): 104251 (2023) - [j129]Foivos Kanellos, Konstantinos I. Tsamis, Georgios Rigas, Yannis V. Simos, Andreas P. Katsenos, Gerasimos Kartsakalis, Dimitrios I. Fotiadis, Patra Vezyraki, Dimitrios Peschos, Spyridon Konitsiotis:
Clinical Evaluation in Parkinson's Disease: Is the Golden Standard Shiny Enough? Sensors 23(8): 3807 (2023) - [j128]Vassilis D. Tsakanikas, Adamantios Ntanis, George Rigas, Christos Androutsos, Dimitrios Boucharas, Nikolaos S. Tachos, Vasileios Skaramagkas, Chariklia Chatzaki, Zinovia Kefalopoulou, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Evaluating Gait Impairment in Parkinson's Disease from Instrumented Insole and IMU Sensor Data. Sensors 23(8): 3902 (2023) - [j127]Mariana H. G. Monje, Sylvie Grosjean, Martin Srp, Laura Antunes, Raquel Bouça-Machado, Ricardo Cacho, Sergio Domínguez, John Inocentes, Timothy Lynch, Argyri Tsakanika, Dimitrios I. Fotiadis, George Rigas, Evzen Ruzicka, Joaquim Ferreira, Angelo Antonini, Norberto Malpica, Tiago Mestre, Álvaro Sánchez-Ferro, iCARE-PD Consortium:
Co-Designing Digital Technologies for Improving Clinical Care in People with Parkinson's Disease: What Did We Learn? Sensors 23(10): 4957 (2023) - [c268]Vasileios C. Pezoulas, Georg Ehret, Jos A. Bosch, Dimitrios I. Fotiadis, Antonis I. Sakellarios:
Distilling knowledge from high quality biobank data towards the discovery of risk factors for patients with cardiovascular diseases and depression. BHI 2023: 1-4 - [c267]Christos Raspoptsis, Eugenia Mylona, Konstantina Kourou, Georgios C. Manikis, Haridimos Kondylakis, Kostas Marias, Paula Poikonen-Saksela, Panagiotis G. Simos, Evangelos Karademas, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Dimitrios I. Fotiadis:
Predicting Quality of Life for Breast Cancer Patients *. BHI 2023: 1-4 - [c266]Fotios S. Konstantakopoulos, Daphne N. Katsarou, Eleni I. Georga, Maria Christou, Stelios Tigas, Dimitrios I. Fotiadis:
Personalized Clustering of Glucose Time Series in Patients with Type-1 Diabetes Mellitus Using Self Organized Maps During Nocturnal Sleep. BIBE 2023: 298-302 - [c265]Mohammed A. AboArab, Vassiliki T. Potsika, Dimitrios I. Fotiadis, George Gkois:
DECODE: A New Cloud-Based Framework for Advanced Visualization, Simulation, and Optimization Treatment of Peripheral Artery Disease. BIBE 2023: 303-307 - [c264]Milos Anic, Dimitrios I. Fotiadis, Vassiliki T. Potsika:
Convolutional Neural Networks for the Segmentation of Coronary Arteries. BIBE 2023: 308-314 - [c263]Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasilis D. Tsakanikas, Marcus E. Kleber, Winfried März, Dimitrios I. Fotiadis:
Machine Learning Models Predict Fatal Myocardial Infarction Within 10-Years Follow-Up Utilizing Explainable AI. BIBE 2023: 320-324 - [c262]Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Charalampos Kalantzopoulos, Kostas Marias, Manolis Tsiknakis, Dimitrios D. Koutsouris, George K. Matsopoulos, Dimitrios I. Fotiadis:
Transi-Net: An Explainable Deep Learning Model Ensemble For Prostate's Transition Zone Segmentation. BIBE 2023: 422-426 - [c261]Stavroula Tassi, Konstantinos D. Polyzos, Dimitrios I. Fotiadis, Antonis I. Sakellarios:
Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference. BIBM 2023: 3188-3193 - [c260]Kostas M. Tsiouris, Grigorios Kalliatakis, Ketti Mazzocco, Bostjan Seruga, Kostas Marias, Georgia S. Karanasiou, Athos Antoniades, Andri Papakonstantinou, Constanza Conti, Manolis Tsiknakis, Stelios Sfakianakis, Lampros Lakkas, Gerasimos Filippatos, Anca I. D. Bucur, Dimitrios I. Fotiadis, Georgios C. Manikis, Davide Mauri, Anastasia Constantinidou, Elsa Pacella:
CARDIOCARE platform: A beyond the state of the art approach for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity*. BIBM 2023: 3907-3912 - [c259]Kostas M. Tsiouris, George Rigas, Styliani Zelilidou, Evangelia Florou, Foivos Kanellos, Eleftherios Kosmas, Ilias Tsimperis, Emmanouil Vagiakis, Dimitrios I. Fotiadis:
Multi-Cohort Evaluation of an Automated Sleep Stage Detection Methodology Using ECG and Respiration Signals *. BIBM 2023: 4154-4158 - [c258]Eleftherios Trivizakis, Vassilios Aidonis, Vasileios C. Pezoulas, Yorgos Goletsis, Nikolaos Oikonomou, Ioannis Stefanis, Leoni Chondromatidou, Dimitrios I. Fotiadis, Manolis Tsiknakis, Kostas Marias:
LoockMe: An Ever Evolving Artificial Intelligence Platform for Location Scouting in Greece. EANN 2023: 315-327 - [c257]Georgia S. Karanasiou, Lefteris Koumakis, Stelios Sfakianakis, Georgios C. Manikis, Gregory Kalliatakis, Athos Antoniades, Lampros Lakkas, Davide Mauri, C. Cipolla, Ketti Mazzocco, Andri Papakonstantinou, Gerasimos Filippatos, A. Constantinidou, Bostjan Seruga, Constanza Conti, Anca I. D. Bucur, Elsa Pacella, Kostas Marias, Manolis Tsiknakis, Dimitris I. Fotiadis:
CARDIOCARE: An integrated platform for the management of elderly multimorbid patients with breast cancer therapy induced cardiac toxicity. EMBC 2023: 1-4 - [c256]Georgia S. Karanasiou, Vasileios S. Loukas, Panos Siogkas, Antonis I. Sakellarios, Nikolaos S. Tachos, Christos Katsouras, Anargyros Moulas, Konstantinos Ioakimidis, Arsenios Chatzimichailidis, Arsen Semertzioglou, Athanassios Vratimos, Ioannis Spyridonidis, Lambros K. Michalis, Dimitrios I. Fotiadis:
Cleverballoon: An integrated approach for developing a drug-coated balloon with everolimus. EMBC 2023: 1-4 - [c255]Angela Koloi, Vasileios S. Loukas, Antonis I. Sakellarios, Jos A. Bosch, Rick Quax, Karina Nowakowska, Nikolaos S. Tachos, Jakub Kazmierski, Costas Papaloukas, Dimitrios I. Fotiadis:
A comparison study on creating simulated patient data for individuals suffering from chronic coronary disorders. EMBC 2023: 1-4 - [c254]Fotios S. Konstantakopoulos, Eleni I. Georga, Nikolaos S. Tachos, Dimitrios I. Fotiadis:
Weight Estimation of Mediterranean Food Images using Random Forest Regression Algorithm. EMBC 2023: 1-4 - [c253]Vasileios S. Loukas, Thomas Kassiotis, Ignacio Lamata Martinez, Lefteris Koumakis, Jeroen Bruinsma, Roberto Pasciuti, Monica Balatresi, Ville Tenhunen, Adam Fiakkas, Lelia Ataliani, Georgia S. Karanasiou, Manolis Tsiknakis, Hannes Hilberger, Markus Bödenler, Bianca Schnalzer, Simone Huber, Mattia Pirani, Matteo Colombo, Sten Hanke, Dimitrios I. Fotiadis:
LETHE: A Digital Intervention for Cognitive Decline. EMBC 2023: 1-4 - [c252]Ourania Ntousi, Maria Roumpi, Panagiotis K. Siogkas, Despoina Deligianni, Dimitrios I. Fotiadis:
Computational Fluid Dynamic Analysis of customised 3D-printed bone scaffolds with different architectures. EMBC 2023: 1-4 - [c251]Orestis D. Papagiannopoulos, Konstantina Kourou, Costas Papaloukas, Georgia S. Karanasiou, Harmen J. G. van de Werken, Yvonne M. Mueller, Peter D. Katsikis, Daniel Herrero-Saboya, Dimitrios I. Fotiadis:
Classification of Inflammation of Unknown Origin patients based on RNA-seq and SomaScan data. EMBC 2023: 1-4 - [c250]Vasileios C. Pezoulas, Themis P. Exarchos, Nikolaos S. Tachos, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis:
Boosting the performance of MALT lymphoma classification in patients with primary Sjögren's Syndrome through data augmentation: a case study. EMBC 2023: 1-4 - [c249]Dimitrios S. Pleouras, Panagiotis K. Siogkas, Vasilis D. Tsakanikas, Michalis D. Mantzaris, Vassiliki T. Potsika, Antonis I. Sakellarios, Fragiska Sigala, Dimitrios I. Fotiadis:
Accurate adventitia reconstruction; significant or not in atherosclerotic plaque growth simulationsƒ A comparative study. EMBC 2023: 1-4 - [c248]Vassiliki T. Potsika, Nikolaos S. Tachos, Athanasios A. Pardalis, Christoforos Papaioannou, Ioannis N. Kouris, Theodore D. Economopoulos, Pantelis Syringas, Nikolaos D. Tselikas, Orestis N. Zestas, Giorgos Papagiannis, Athanasios Triantafyllou, Vasilis C. Protopappas, Nikolaos Malizos, George K. Matsopoulos, Dimitrios I. Fotiadis:
An integrated rehabilitation system for the upper limb spasticity assessment and treatment: the Rehabotics passive exoskeletal system. EMBC 2023: 1-4 - [c247]Panagiotis K. Siogkas, Dimitrios S. Pleouras, Vasilis D. Tsakanikas, Michalis D. Mantzaris, Vassiliki T. Potsika, Antonis I. Sakellarios, George Charalampopoulos, George Galyfos, Fragiska Sigala, Dimitrios I. Fotiadis:
Enhancing risk prediction capabilities in patients with carotid artery disease using a 2-level computational approach. EMBC 2023: 1-4 - [c246]Panagiotis K. Siogkas, Dimitrios S. Pleouras, Vasilis D. Tsakanikas, Vassiliki T. Potsika, Kostas M. Tsiouris, Antonis I. Sakellarios, Evdokia Karamouzi, Foteini Lagiou, George Charalampopoulos, George Galyfos, Fragiska Sigala, Igor Koncar, Dimitrios I. Fotiadis:
A Machine Learning Model for the prediction of the progression of carotid arterial stenoses. EMBC 2023: 1-4 - [c245]Vasileios Skaramagkas, Anastasia Pentari, Dimitrios I. Fotiadis, Manolis Tsiknakis:
Using the recurrence plots as indicators for the recognition of Parkinson's disease through phonemes assessment. EMBC 2023: 1-4 - [c244]Stavroula Tassi, Vassiliki Kigka, Panagiotis K. Siogkas, Silvia Rocchiccioli, Gualtiero Pelosi, Dimitrios I. Fotiadis, Antonis I. Sakellarios:
Graph-guided Gaussian Process-based Diagnosis of CVD Severity with Uncertainty Measures. EMBC 2023: 1-4 - [c243]Vassilis D. Tsakanikas, Panagiotis K. Siogkas, Vassiliki T. Potsika, Antonis I. Sakellarios, Dimitris S. Pleouras, Vassiliki I. Kigka, Themis P. Exarchos, Igor B. Koncar, Dimitrios I. Fotiadis:
TAXINOMISIS: A cloud - based platform for risk profiling and patient specific management of the carotid artery disease. EMBC 2023: 1-4 - [c242]Konstantina Tsarapatsani, Antonis I. Sakellarios, Vassilis D. Tsakanikas, Hans J. Trampisch, Henrik Rudolf, Nikolaos S. Tachos, Marcus E. Kleber, Winfried März, Dimitrios I. Fotiadis:
Machine Learning Models Predict the Need of Amputation and/or Peripheral Artery Revascularization in Hypertensive Patients Within 7-Years Follow-Up. EMBC 2023: 1-4 - [c241]Kostas M. Tsiouris, Alexandros Mitsis, Grigoris Grigoriadis, Georgia S. Karanasiou, Lampros Lakkas, Davide Mauri, Angeliki Maria Toli, Alexia Alexandraki, Kalliopi Keramida, Daniela Cardinale, Dimitrios I. Fotiadis:
Risk Stratification for Cardiotoxicity in Breast Cancer Patients: Predicting Early Decline of LVEF After Treatment. EMBC 2023: 1-4 - [c240]Eugenia Mylona, Dimitrios G. Zaridis, Nikolaos S. Tachos, Manolis Tsiknakis, Kostas Marias, Dimitrios I. Fotiadis:
Diagnosis of Clinical Significant Prostate Cancer on Biparametric Mri Using Zone-Specific Radiomic Features. ISBI 2023: 1-4 - [i3]Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.:
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR abs/2309.12325 (2023) - 2022
- [j126]Vasileios C. Pezoulas, Konstantina D. Kourou, Eugenia Mylona, Costas Papaloukas, Angelos Liontos, Dimitrios I. Biros, Orestis I. Milionis, Chris Kyriakopoulos, Kostantinos Kostikas, Haralampos Milionis, Dimitrios I. Fotiadis:
ICU admission and mortality classifiers for COVID-19 patients based on subgroups of dynamically associated profiles across multiple timepoints. Comput. Biol. Medicine 141: 105176 (2022) - [j125]Emmanouil Ktistakis, Vasileios Skaramagkas, Dimitris Manousos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Manolis Tsiknakis:
COLET: A dataset for COgnitive workLoad estimation based on eye-tracking. Comput. Methods Programs Biomed. 224: 106989 (2022) - [j124]Elisavet Stamoulou, Constantinos Spanakis, Georgios C. Manikis, Georgia S. Karanasiou, Grigoris Grigoriadis, Theodoros Foukakis, Manolis Tsiknakis, Dimitrios I. Fotiadis, Kostas Marias:
Harmonization Strategies in Multicenter MRI-Based Radiomics. J. Imaging 8(11): 303 (2022) - [j123]Chariklia Chatzaki, Vasileios Skaramagkas, Zinovia Kefalopoulou, Nikolaos S. Tachos, Nicholas Kostikis, Foivos Kanellos, Eleftherios Triantafyllou, Elisabeth Chroni, Dimitrios I. Fotiadis, Manolis Tsiknakis:
Can Gait Features Help in Differentiating Parkinson's Disease Medication States and Severity Levels? A Machine Learning Approach. Sensors 22(24): 9937 (2022) - [j122]Metin Akay, Shankar Subramaniam, Colin Brennan, Paolo Bonato, Charlotte Mae K. Waits, Bruce C. Wheeler, Dimitrios I. Fotiadis:
Healthcare Innovations to Address the Challenges of the COVID-19 Pandemic. IEEE J. Biomed. Health Informatics 26(7): 3294-3302 (2022) - [c239]Dimitrios Boucharas, Christos Androutsos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Dimitrios Manousos, Vasileios Skaramagkas, Emmanouil Ktistakis, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis:
AI Methods for Personalized Suggestions on Smart Glasses Based on Human Activity Recognition. BHI 2022: 1-4 - [c238]Eugenia Mylona, Konstantina Kourou, Georgios C. Manikis, Haridimos Kondylakis, Evangelos Karademas, Kostas Marias, Ketti Mazzocco, Paula Poikonen-Saksela, Ruth Pat-Horenczyk, Berta Sousa, Panagiotis G. Simos, Dimitrios I. Fotiadis:
Explainable machine learning analysis of longitudinal mental health trajectories after breast cancer diagnosis. BHI 2022: 1-4 - [c237]Orestis D. Papagiannopoulos, Costas Papaloukas, Vasileios C. Pezoulas, Harmen J. G. van de Werken, Christophe Poulet, Yvonne M. Mueller, Peter D. Katsikis, Dominique De Seny, Dimitrios I. Fotiadis:
Comparison of Proteomic Approaches in Autoinflammatory Disease Classification. BHI 2022: 1-4 - [c236]Vasileios C. Pezoulas, Fanis G. Kalatzis, Themis P. Exarchos, Antreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis:
A federated AI-empowered platform for disease management across a Pan-European data driven hub. BHI 2022: 1-4 - [c235]Vasileios C. Pezoulas, Eugenia Mylona, Costas Papaloukas, Angelos Liontos, Dimitrios I. Biros, Orestis I. Milionis, Chris Kyriakopoulos, Kostantinos Kostikas, Haralampos Milionis, Dimitrios I. Fotiadis:
A hybrid approach based on dynamic trajectories to predict mortality in COVID-19 patients upon steroids administration. BHI 2022: 1-4 - [c234]Vasileios C. Pezoulas, Pashupati P. Mishra, Olli T. Raitakari, Mika Kähönen, Terho Lehtimäki, Dimitrios I. Fotiadis, Antonis I. Sakellarios:
Metabolomics in the prediction of prodromal stages of carotid artery disease using a hybrid ML algorithm. BHI 2022: 1-4 - [c233]Panagiotis K. Siogkas, Vassilis D. Tsakanikas, Antonis I. Sakellarios, Vassiliki T. Potsika, George Galyfos, Fragiska Sigala, Smiljana Tomasevic, Tijana Djukic, Nenad Filipovic, Igor Koncar, Dimitrios I. Fotiadis:
MRI vs. US 3D computational models of carotid arteries: a proof-of-concept study. BHI 2022: 1-4 - [c232]Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasileios C. Pezoulas, Vasilis D. Tsakanikas, George K. Matsopoulos, Winfried März, Marcus E. Kleber, Dimitrios I. Fotiadis:
Machine Learning Models to Predict Myocardial Infarction Within 10-Years Follow-up of Cardiovascular Disease Progression. BHI 2022: 1-4 - [c231]Panagiota I. Tsompou, Vassiliki T. Potsika, Nikola Jovica Petrovic, Vasileios C. Pezoulas, Panagiotis K. Siogkas, Vassilis D. Tsakanikas, Dimitrios Pleouras, Michail I. Papafaklis, Sotiris Nikopoulos, Antonis I. Sakellarios, Dimitrios I. Fotiadis:
Computational modeling of atherosclerotic plaque progression through an efficient 3D agent-based modeling approach. BHI 2022: 1-4 - [c230]Eugenia Mylona, Konstantina Kourou, Georgios C. Manikis, Haridimos Kondylakis, Kostas Marias, Evangelos Karademas, Paula Poikonen-Saksela, Ketti Mazzocco, Chiara Marzorati, Ruth Pat-Horenczyk, Ilan Roziner, Berta Sousa, Albino J. Oliveira-Maia, Panagiotis G. Simos, Dimitrios I. Fotiadis:
Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study. EMBC 2022: 69-72 - [c229]Orestis D. Papagiannopoulos, Konstantina Kourou, Costas Papaloukas, Dimitrios I. Fotiadis:
Comparison of High-Throughput Technologies in the Classification of Adult-Onset Still's Disease Patients. EMBC 2022: 77-80 - [c228]Daphne N. Katsarou, Eleni I. Georga, Maria Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis:
Short Term Glucose Prediction in Patients with Type 1 Diabetes Mellitus. EMBC 2022: 329-332 - [c227]Vasileios S. Loukas, Georgia S. Karanasiou, Dimitrios Pleouras, Christos C. Katsouras, Nikolaos S. Tachos, Antonis I. Sakellarios, Arsen Semertzioglou, Lambros K. Michalis, Dimitrios I. Fotiadis:
Investigation of crimping effects on the stent deployment through in silico modeling. EMBC 2022: 621-624 - [c226]Vasileios C. Pezoulas, Angelos Liontos, Eugenia Mylona, Costas Papaloukas, Orestis I. Milionis, Dimitrios I. Biros, Chris Kyriakopoulos, Kostantinos Kostikas, Haralampos Milionis, Dimitrios I. Fotiadis:
Predicting the need for mechanical ventilation and mortality in hospitalized COVID-19 patients who received heparin. EMBC 2022: 1020-1023 - [c225]Vassiliki I. Kigka, Antonis I. Sakellarios, Vassilis D. Tsakanikas, Vassiliki T. Potsika, Igor Koncar, Dimitrios I. Fotiadis:
Detection of Asymptomatic Carotid Artery Stenosis through Machine Learning. EMBC 2022: 1041-1044 - [c224]Vasileios C. Pezoulas, Nikolaos S. Tachos, Iacopo Olivotto, Fausto Barlocco, Dimitrios I. Fotiadis:
A "smart" Imputation Approach for Effective Quality Control Across Complex Clinical Data Structures. EMBC 2022: 1049-1052 - [c223]Konstantina Tsarapatsani, Antonis I. Sakellarios, Vasileios C. Pezoulas, Vassilis D. Tsakanikas, Marcus E. Kleber, Winfried März, Lampros K. Michalis, Dimitrios I. Fotiadis:
Machine Learning Models for Cardiovascular Disease Events Prediction. EMBC 2022: 1066-1069 - [c222]Daphni Plati, Evanthia E. Tripoliti, Styliani Zelilidou, Kostas I. Vlachos, Spyridon Konitsiotis, Dimitrios I. Fotiadis:
Multiple Sclerosis Severity Estimation and Progression Prediction Based on Machine Learning Techniques. EMBC 2022: 1109-1112 - [c221]Fotis Konstantakopoulos, Eleni I. Georga, Kostis E. Tzanettis, Konstantinos A. Kokkinopoulos, Stefanos K. Raptis, Klearchos A. Michaloglou, Dimitrios I. Fotiadis:
GlucoseML Mobile Application for Automated Dietary Assessment of Mediterranean Food. EMBC 2022: 1432-1435 - [c220]Dimitrios Pleouras, Michalis D. Mantzaris, Panagiotis K. Siogkas, Vasilis D. Tsakanikas, Vassiliki T. Potsika, Antonis I. Sakellarios, Panagiota Tsompou, Fragiska Sigala, Dimitrios I. Fotiadis:
Prediction of the atherosclerotic plaque development in carotid arteries; the effect of T-cells. EMBC 2022: 1590-1593 - [c219]Kostas M. Tsiouris, Vassilios D. Tsakanikas, Dimitris Gatsios, Marousa Pavlou, Dimitrios I. Fotiadis:
Emotional Models for the Estimation of Arousal and Pleasure in Older Adults During Balance Rehabilitation Training. EMBC 2022: 3472-3475 - [c218]Theofilos G. Papadopoulos, Evanthia E. Tripoliti, Daphne Plati, Styliani Zelilidou, Kostas Vlachos, Spiros Konitsiotis, Dimitrios I. Fotiadis:
White Matter Lesion Segmentation for Multiple Sclerosis Patients implementing deep learning. EMBC 2022: 3818-3821 - [c217]Grigoris I. Grigoriadis, Dimitrios G. Zaridis, Vasileios C. Pezoulas, Sotiris Nikopoulos, Antonis I. Sakellarios, Nikolaos S. Tachos, Katerina K. Naka, Lampros K. Michalis, Dimitrios I. Fotiadis:
Segmentation of left atrium using CT images and a deep learning model. EMBC 2022: 3839-3842 - [c216]Orestis A. Gkaintes, Vassiliki T. Potsika, Vasileios S. Loukas, Ioannis Gkiatas, Emilios E. Pakos, Dimitrios I. Fotiadis:
Computational modelling of Human Femur after Total Hip Arthroplasty. EMBC 2022: 3947-3950 - [c215]Gianna E. Karanasiou, Vasileios S. Loukas, Panagiota I. Tsompou, Georgia S. Karanasiou, Savvas K. Kyriakidis, Luca Antonini, Gianluca Poletti, Giancarlo Pennati, Michail I. Papafaklis, Leonidas N. Gergidis, Dimitrios I. Fotiadis, Antonis I. Sakellarios:
A proof-of-concept study for the simulation of blood flow in a post arterial segment for different blood rheology models. EMBC 2022: 3985-3988 - [c214]Styliani P. Zelilidou, Evanthia E. Tripoliti, Kostas I. Vlachos, Spyridon Konitsiotis, Dimitrios I. Fotiadis:
Segmentation and volume quantification of MR Images for the detection and monitoring multiple sclerosis progression. EMBC 2022: 4745-4748 - [c213]Georgia S. Karanasiou, Panagiota I. Tsompou, Nikolaos S. Tachos, Gianna E. Karanasiou, Antonis I. Sakellarios, Savvas K. Kyriakidis, Luca Antonini, Giancarlo Pennati, Lorenza Petrini, Frank Gijsen, Ted J. Vaughan, Christos Katsouras, Lampros K. Michalis, Dimitrios I. Fotiadis:
An in silico trials platform for the evaluation of stent design effect in post-implantation outcomes. EMBC 2022: 4970-4973 - [c212]Haridimos Kondylakis, Stelios Sfakianakis, Varvara Kalokyri, Nikolaos S. Tachos, Dimitrios I. Fotiadis, Kostas Marias, Manolis Tsiknakis:
Data Ingestion for AI in Prostate Cancer. MIE 2022: 244-248 - [c211]Fotios S. Konstantakopoulos, Eleni I. Georga, Dimitrios I. Fotiadis:
Multiclass Semantic Segmentation of Mediterranean Food Images. PervasiveHealth 2022: 49-59 - [c210]Daphne N. Katsarou, Eleni I. Georga, Maria Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis:
An Exploratory Study of the Value of Vital Signs on the Short-Term Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes - The GlucoseML Study. PervasiveHealth 2022: 450-459 - [c209]Adamantios Ntanis, Nicholas Kostikis, Ilias Tsimperis, Kostas Tsiouris, George Rigas, Dimitrios I. Fotiadis:
Evaluating Parameters of the TUG Test Based on Data from IMU and UWB Sensors. WiMob 2022: 142-147 - [i2]Dimitrios Boucharas, Christos Androutsos, George Gkois, Vassilis D. Tsakanikas, Vasileios Pezoulas, Dimitrios Manousos, Vasileios Skaramagkas, Chariklia Chatzaki, Stathis Kontogiannis, Christos C. Spandonidis, Alexandros K. Pantazis, Nikolaos S. Tachos, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Smart Insole: A Gait Analysis Monitoring Platform Targeting Parkinson Disease Patients Based on Insoles. CoRR abs/2212.00109 (2022) - 2021
- [j121]Konstantina Kourou, Georgios C. Manikis, Paula Poikonen-Saksela, Ketti Mazzocco, Ruth Pat-Horenczyk, Berta Sousa, Albino J. Oliveira-Maia, Johanna Mattson, Ilan Roziner, Greta Pettini, Haridimos Kondylakis, Kostas Marias, Evangelos Karademas, Panagiotis G. Simos, Dimitrios I. Fotiadis:
A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast cancer diagnosis: An initial effort to define resilience effects. Comput. Biol. Medicine 131: 104266 (2021) - [j120]Vasileios C. Pezoulas, Grigoris I. Grigoriadis, George Gkois, Nikolaos S. Tachos, Tim Smole, Zoran Bosnic, Matej Piculin, Iacopo Olivotto, Fausto Barlocco, Marko Robnik-Sikonja, Djordje G. Jakovljevic, Andreas Goules, Athanasios G. Tzioufas, Dimitrios 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. Comput. Biol. Medicine 134: 104520 (2021) - [j119]Nikos Tsiknakis, Dimitris Theodoropoulos, Georgios C. Manikis, Emmanouil Ktistakis, Ourania Boutsora, Alexa Berto, Fabio Scarpa, Alberto Scarpa, Dimitrios I. Fotiadis, Kostas Marias:
Deep learning for diabetic retinopathy detection and classification based on fundus images: A review. Comput. Biol. Medicine 135: 104599 (2021) - [j118]Tim Smole, Bojan Zunkovic, Matej Piculin, Enja Kokalj, Marko Robnik-Sikonja, Matjaz Kukar, Dimitrios I. Fotiadis, Vasileios C. Pezoulas, Nikolaos S. Tachos, Fausto Barlocco, Francesco Mazzarotto, Dejana Popovic, Lars Maier, Lazar U. Velicki, Guy A. MacGowan, Iacopo Olivotto, Nenad Filipovic, Djordje G. Jakovljevic, Zoran Bosnic:
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. Comput. Biol. Medicine 135: 104648 (2021) - [j117]Andrea Marcante, Roberto Di Marco, Giovanni Gentile, Clelia Pellicano, Francesca Assogna, Francesco Ernesto Pontieri, Gianfranco Spalletta, Lucia Macchiusi, Dimitris Gatsios, Alexandros Giannakis, Maria Chondrogiorgi, Spyridon Konitsiotis, Dimitrios I. Fotiadis, Angelo Antonini:
Foot Pressure Wearable Sensors for Freezing of Gait Detection in Parkinson's Disease. Sensors 21(1): 128 (2021) - [j116]Chariklia Chatzaki, Vasileios Skaramagkas, Nikolaos S. Tachos, Georgios Christodoulakis, Evangelia Maniadi, Zinovia Kefalopoulou, Dimitrios I. Fotiadis, Manolis Tsiknakis:
The Smart-Insole Dataset: Gait Analysis Using Wearable Sensors with a Focus on Elderly and Parkinson's Patients. Sensors 21(8): 2821 (2021) - [j115]Nikolaos Kostikis, George Rigas, Spyridon Konitsiotis, Dimitrios I. Fotiadis:
Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson's Disease. Sensors 21(23): 7801 (2021) - [j114]Amira S. Ashour, Menna Asran, Waleed S. Mohamed, Dimitrios I. Fotiadis:
Optimal Localization of a Novel Shifted 1T-Ring Based Microwave Ablation Probe in Hepatocellular Carcinoma. IEEE Trans. Biomed. Eng. 68(2): 505-514 (2021) - [j113]Nan Ji, Ting Xiang, Paolo Bonato, Nigel H. Lovell, Sze-Yuan Ooi, David A. Clifton, Metin Akay, Xiao-Rong Ding, Bryan P. Yan, Vincent C. T. Mok, Dimitrios I. Fotiadis, Yuan-Ting Zhang:
Recommendation to Use Wearable-Based mHealth in Closed-Loop Management of Acute Cardiovascular Disease Patients During the COVID-19 Pandemic. IEEE J. Biomed. Health Informatics 25(4): 903-908 (2021) - [c208]Grigoris I. Grigoriadis, Vasileios C. Pezoulas, Maria Roumpi, George Gkois, Nikolaos S. Tachos, Momcilo Prodanovic, Danica Prodanovic, Boban S. Stojanovic, Srboljub M. Mijailovich, Nenad Filipovic, Dimitrios I. Fotiadis:
Towards the development of a unified virtual population model in hypertrophic cardiomyopathy. BHI 2021: 1-4 - [c207]Vasileios C. Pezoulas, Antonis I. Sakellarios, Marcus E. Kleber, Jos A. Bosch, Sander W. Van der Laan, Femke Lamers, Terho Lehtimäki, Winfried März, Dimitrios I. Fotiadis:
A hybrid data harmonization workflow using word embeddings for the interlinking of heterogeneous cross-domain clinical data structures. BHI 2021: 1-4 - [c206]Dimitrios Boucharas, Christos Androutsos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Dimitrios Manousos, Vasileios Skaramagkas, Emmanouil Ktistakis, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Exploring Artificial Intelligence methods for recognizing human activities in real time by exploiting inertial sensors. BIBE 2021: 1-4 - [c205]Milos R. Ivanovic, Andreja Zivic, Nikolaos S. Tachos, George Gkois, Nenad Filipovic, Dimitrios I. Fotiadis:
In-silico Research Platform in the Cloud - Performance and Scalability Analysis. BIBE 2021: 1-6 - [c204]Fotis Konstantakopoulos, Eleni I. Georga, Dimitrios I. Fotiadis:
3D Reconstruction and Volume Estimation of Food using Stereo Vision Techniques. BIBE 2021: 1-4 - [c203]Vasileios Skaramagkas, Emmanouil Ktistakis, Dimitris Manousos, Nikolaos S. Tachos, Eleni Kazantzaki, Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Manolis Tsiknakis:
Cognitive workload level estimation based on eye tracking: A machine learning approach. BIBE 2021: 1-5 - [c202]Vasileios Skaramagkas, Emmanouil Ktistakis, Dimitris Manousos, Nikolaos S. Tachos, Eleni Kazantzaki, Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Manolis Tsiknakis:
A machine learning approach to predict emotional arousal and valence from gaze extracted features. BIBE 2021: 1-5 - [c201]Dimitrios G. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis:
A Deep Learning-based cropping technique to improve segmentation of prostate's peripheral zone. BIBE 2021: 1-4 - [c200]