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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
- 2023
[j127]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)- 2022
- [j126]Vasileios C. Pezoulas, Konstantina D. Kourou, Eugenia Mylona, Costas Papaloukas, Angelos Liontos, Dimitrios 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) - [c237]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 - [c236]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 - [c235]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 - [c234]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 - [c233]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 - [c232]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 - [c231]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 - [c230]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 - [c229]Panagiota I. Tsompou, Vassiliki T. Potsika, N. Petrovic, Vasileios C. Pezoulas, Panagiotis K. Siogkas, Vassilis D. Tsakanikas, Dimitrios Pleouras, Michalis 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 - [c228]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 - [c227]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 - [c226]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 - [c225]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 - [c224]Vasileios C. Pezoulas, Angelos Liontos, Eugenia Mylona, Costas Papaloukas, Orestis I. Milionis, Dimitrios 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 - [c223]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 - [c222]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 - [c221]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 - [c220]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 - [c219]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 - [c218]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 - [c217]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 - [c216]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 - [c215]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 - [c214]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 - [c213]Gianna E. Karanasiou, Vasileios S. Loukas, Panagiota I. Tsompou, Georgia S. Karanasiou, Savvas K. Kyriakidis, Luca Antonini, Gianluca Poletti, Giancarlo Pennati, Michalis 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 - [c212]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 - [c211]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 - [c210]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 - [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 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 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]Styliani P. Zelilidou, Evanthia E. Tripoliti, Kostas I. Vlachos, Spyridon Konitsiotis, Dimitrios I. Fotiadis:
Clustering based Segmentation of MR Images for the Delineation and Monitoring of Multiple Sclerosis Progression. BIBE 2021: 1-4 - [c199]Vassilis D. Tsakanikas, Dimitrios Dimopoulos, Nikolaos S. Tachos, Chariklia Chatzaki, Vasileios Skaramagkas, Georgios Christodoulakis, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Gait and balance patterns related to Free-Walking and TUG tests in Parkinson's Disease based on plantar pressure data. EMBC 2021: 236-239 - [c198]Vasileios C. Pezoulas, Fanis G. Kalatzis, Themis P. Exarchos, Luke Chatzis, Saviana Gandolfo, Andreas Goules, Salvatore de Vita, Athanasios G. Tzioufas, Dimitrios I. Fotiadis:
A federated AI strategy for the classification of patients with Mucosa Associated Lymphoma Tissue (MALT) lymphoma across multiple harmonized cohorts. EMBC 2021: 1666-1669 - [c197]Vasileios C. Pezoulas, Themis P. Exarchos, Athanasios G. Tzioufas, Dimitrios I. Fotiadis:
Multiple additive regression trees with hybrid loss for classification tasks across heterogeneous clinical data in distributed environments: a case study. EMBC 2021: 1670-1673 - [c196]Vasileios C. Pezoulas, Grigorios I. Grigoriadis, Nikolaos S. Tachos, Fausto Barlocco, Iacopo Olivotto, Dimitrios I. Fotiadis:
Variational Gaussian Mixture Models with robust Dirichlet concentration priors for virtual population generation in hypertrophic cardiomyopathy: a comparison study. EMBC 2021: 1674-1677 - [c195]Dimitrios Pleouras, Georgia S. Karanasiou, Vasileios S. Loukas, Arsen Semertzioglou, Anargyros Moulas, Dimitrios I. Fotiadis:
Investigation of the drug release time from the biodegrading coating of an everolimus eluting stent. EMBC 2021: 1698-1701 - [c194]Fotis Konstantakopoulos, Eleni I. Georga, Dimitrios I. Fotiadis:
Mediterranean Food Image Recognition Using Deep Convolutional Networks. EMBC 2021: 1740-1743 - [c193]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:
Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests1. EMBC 2021: 1753-1756 - [c192]Theofilos G. Papadopoulos, Daphni Plati, Evanthia E. Tripoliti, Yorgos Goletsis, Katerina K. Naka, Aidonis Rammos, Aris Bechlioulis, Chris Watson, Kenneth McDonald, Mark Ledwidge, Rebabonye Pharithi, Joseph Gallagher, Dimitrios I. Fotiadis:
Heart Failure diagnosis based on deep learning techniques. EMBC 2021: 1757-1760 - [c191]Vassiliki I. Kigka, Antonis I. Sakellarios, Michalis D. Mantzaris, Vasilis D. Tsakanikas, Vassiliki T. Potsika, Domenico Palombo, Fabrizio Montecucco, Dimitrios I. Fotiadis:
A Machine Learning Model for the Identification of High risk Carotid Atherosclerotic Plaques. EMBC 2021: 2266-2269 - [c190]Grigoris I. Grigoriadis, Maria Roumpi, Dimitrios G. Zaridis, Vasileios C. Pezoulas, Aidonis Rammos, Nikolaos S. Tachos, Katerina K. Naka, Dimitrios I. Fotiadis:
Comparison of three U-Net family architectures for left ventricular myocardial wall automatic segmentation. EMBC 2021: 2932-2935 - [c189]Michalis D. Mantzaris, Panagiotis K. Siogkas, Vasilis D. Tsakanikas, Vassiliki T. Potsika, Dimitrios Pleouras, Antonis I. Sakellarios, Georgios Karagiannis, George Galyfos, Fragiska Sigala, Nikolaos Liasis, Marija Jovanovic, Igor Koncar, Michael Kallmayer, Dimitrios I. Fotiadis:
Computational modeling of atherosclerotic plaque progression in carotid lesions with moderate degree of stenosis*. EMBC 2021: 4209-4212 - [c188]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, Farhad Rikhtegar Nezami, Rami Tzafriri, Martin Fawdry, Dimitrios I. Fotiadis:
An in silico trials platform for the evaluation of effect of the arterial anatomy configuration on stent implantation*. EMBC 2021: 4213-4217 - [c187]Georgios Drakoulas, Charilaos Kokkinos, Dimitrios I. Fotiadis, Sotiris Kokkinos, Konstantinos Loukas, Anargyros Moulas, Arsen Semertzioglou:
Coupled FEA Model with Continuum Damage Mechanics for the Degradation of Polymer-based coatings on Drug-Eluting Stents. EMBC 2021: 4319-4323 - [c186]Charilaos Kokkinos, Georgios Drakoulas, Dimitrios I. Fotiadis, Sotiris Kokkinos, Konstantinos Loukas, Anargyros Moulas, Arsen Semertzioglou:
FEA of Drug-Eluting Stents and Sensitivity Analysis of a Continuum Damage Model for the Degradation of PLGA Coating. EMBC 2021: 4324-4328 - [c185]Antonis I. Sakellarios, Panagiota Tsompou, Vassiliki Kigka, Gianna E. Karanasiou, Konstantina Tsarapatsani, Savvas K. Kyriakidis, Georgia S. Karanasiou, Panagiotis K. Siogkas, Sotiris Nikopoulos, Silvia Rocchiccioli, Gualtiero Pelosi, Lampros K. Michalis, Dimitrios I. Fotiadis:
A proof-of-concept study for the prediction of the de-novo atherosclerotic plaque development using finite elements*. EMBC 2021: 4354-4357 - [c184]Vasileios S. Loukas, Georgia S. Karanasiou, Dimitrios Pleouras, Savvas K. Kyriakidis, Antonis I. Sakellarios, Arsen Semertzioglou, Lambros K. Michalis, Dimitrios I. Fotiadis:
Investigation of Drug Eluting Stents performance in human atherosclerotic artery through in silico modeling. EMBC 2021: 5433-5436 - [c183]Athanasios A. Pardalis, Dimitrios A. Gatsios, Vassilios D. Tsakanikas, Isabelle Walz, Christoph Maurer, Dimitrios Kikidis, Christos Nikitas, Sofia Papadopoulou, Athanasios Bibas, Dimitrios I. Fotiadis:
Exploring the Acceptability and Feasibility of Providing a Balance Tele-Rehabilitation Programme to Older Adults at Risk for Falls: An Initial Assessment. EMBC 2021: 6915-6919 - [c182]Christos Androutsos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Ioannis Karatzanis, Dimitris Manousos, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Real Time Human Activity Recognition Using Acceleration and First-Person Camera data. EMBC 2021: 6966-6969 - [c181]Irini Nixina, Dimitrios A. Gatsios, Piret Paal, Spiridon Konitsiotis, Dimitrios I. Fotiadis:
Exploring the knowledge and views of Greek Neurologists regarding Palliative Care Topics. EMBC 2021: 7617-7620 - [i1]Dimitrios G. Zaridis, Eugenia Mylona, Kostas Marias, Nikolaos Papanikolaou, Nikolaos S. Tachos, Dimitrios I. Fotiadis:
A new smart-cropping pipeline for prostate segmentation using deep learning networks. CoRR abs/2107.02476 (2021) - 2020
- [j112]Kostas M. Tsiouris, Spiros Konitsiotis, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
Prognostic factors of Rapid symptoms progression in patients with newly diagnosed parkinson's disease. Artif. Intell. Medicine 103: 101807 (2020) - [j111]Konstantina Kourou, George Rigas, Costas Papaloukas, Michael Mitsis, Dimitrios I. Fotiadis:
Cancer classification from time series microarray data through regulatory Dynamic Bayesian Networks. Comput. Biol. Medicine 116: 103577 (2020) - [j110]Amira S. Ashour, Menna Asran, Dimitrios I. Fotiadis:
Optimal Power for Microwave Slotted Probes in Ablating Different Hepatocellular Carcinoma Sizes. Comput. Biol. Medicine 127: 104101 (2020) - [j109]Biljana Mileva-Boshkoska, Dragana Miljkovic, Anita Valmarska, Dimitrios A. Gatsios, George Rigas, Spyridon Konitsiotis, Kostas M. Tsiouris, Dimitrios I. Fotiadis, Marko Bohanec:
Decision Support for Medication Change of Parkinson's Disease Patients. Comput. Methods Programs Biomed. 196: 105552 (2020) - [j108]Antonis I. Sakellarios, Joao Correia, Savvas K. Kyriakidis, Elena Georga, Nikolaos S. Tachos, Panagiotis K. Siogkas, Francisco Sans, Paolo Stofella, Valiani Massimiliano, Alberto Clemente, Silvia Rocchiccioli, Gualtiero Pelosi, Nenad Filipovic, Dimitrios I. Fotiadis:
A cloud-based platform for the non-invasive management of coronary artery disease. Enterp. Inf. Syst. 14(8): 1102-1123 (2020) - [j107]Kostas M. Tsiouris, Dimitrios A. Gatsios, Vassilios D. Tsakanikas, Athanasios A. Pardalis, Ioannis N. Kouris, Thelma Androutsou, Marilena Tarousi, Natasa Vujnovic Sedlar, Iason Somarakis, Fariba Mostajeran, Nenad Filipovic, Harm op den Akker, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
Designing interoperable telehealth platforms: bridging IoT devices with cloud infrastructures. Enterp. Inf. Syst. 14(8): 1194-1218 (2020) - [j106]Vassilios D. Tsakanikas, Dimitrios A. Gatsios, Dimitrios Dimopoulos, Athanasios A. Pardalis, Marousa Pavlou, Matthew Liston, Dimitrios I. Fotiadis:
Evaluating the Performance of Balance Physiotherapy Exercises Using a Sensory Platform: The Basis for a Persuasive Balance Rehabilitation Virtual Coaching System. Frontiers Digit. Health 2: 545885 (2020) - [j105]Kostas M. Tsiouris, Vassilios D. Tsakanikas, Dimitrios A. Gatsios, Dimitrios I. Fotiadis:
A Review of Virtual Coaching Systems in Healthcare: Closing the Loop With Real-Time Feedback. Frontiers Digit. Health 2: 567502 (2020) - [j104]Max L. Olender, Lambros S. Athanasiou, Lampros K. Michalis, Dimitris I. Fotiadis, Elazer R. Edelman:
A Domain Enriched Deep Learning Approach to Classify Atherosclerosis Using Intravascular Ultrasound Imaging. IEEE J. Sel. Top. Signal Process. 14(6): 1210-1220 (2020) - [j103]Lada Timotijevic, C. E. Hodgkins, Adrian Banks, Patrice Rusconi, B. Egan, M. Peacock, E. Seiss, M. M. L. Touray, H. Gage, Clelia Pellicano, Gianfranco Spalletta, Francesca Assogna, Manuela Giglio, Andrea Marcante, Giovanni Gentile, Imre Cikajlo, Dimitrios A. Gatsios, Spiros Konitsiotis, Dimitrios I. Fotiadis:
Designing a mHealth clinical decision support system for Parkinson's disease: a theoretically grounded user needs approach. BMC Medical Informatics Decis. Mak. 20(1): 34 (2020) - [c180]Fariba Mostajeran, Frank Steinicke, Oscar Javier Ariza Nunez, Dimitrios A. Gatsios, Dimitrios I. Fotiadis:
Augmented Reality for Older Adults: Exploring Acceptability of Virtual Coaches for Home-based Balance Training in an Aging Population. CHI 2020: 1-12 - [c179]Kostas M. Tsiouris, Spyridon Konitsiotis, Dimitrios A. Gatsios, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis:
Automatic Absence Seizures Detection in EEG signals: An Unsupervised Module. EMBC 2020: 532-535 - [c178]Panagiota I. Tsompou, Ioannis O. Andrikos, Georgia S. Karanasiou, Antonis I. Sakellarios, Nikolaos Tsigkas, Vassiliki I. Kigka, Savvas K. Kyriakidis, Lampros K. Michalis, Dimitrios I. Fotiadis:
Validation study of a novel method for the 3D reconstruction of coronary bifurcations. EMBC 2020: 1576-1579 - [c177]Vasilis D. Tsakanikas, Panagiotis K. Siogkas, Michalis D. Mantzaris, Vassiliki T. Potsika, Vassiliki I. Kigka, Themis P. Exarchos, Igor Koncar, Marija Jovanovic, Aleksandra Vujcic, Stefan Ducic, Jaroslav Pelisek, Dimitrios I. Fotiadis:
A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging. EMBC 2020: 2408-2411 - [c176]Grigoris I. Grigoriadis, Antonis I. Sakellarios, Ioanna Kosmidou, Katerina K. Naka, Christopher Ellis, Lampros K. Michalis, Dimitrios I. Fotiadis:
Wall shear stress alterations at left atrium and left atrial appendage employing abnormal blood velocity profiles. EMBC 2020: 2565-2568 - [c175]Georgia S. Karanasiou, Panagiota I. Tsobou, Nikolaos S. Tachos, Luca Antonini, Lorenza Petrini, Giancarlo Pennati, Frank Gijsen, Farhad Rikhtegar Nezami, Rami Tzafiri, Ted J. Vaughan, Martin Fawdry, Dimitrios I. Fotiadis:
Design and implementation of in silico clinical trial for Bioresorbable Vascular Scaffolds. EMBC 2020: 2675-2678 - [c174]Antonis I. Sakellarios, Vasileios C. Pezoulas, Christos V. Bourantas, Katerina K. Naka, Lampros K. Michalis, Patrick W. Serruys, Gregg Stone, Hector M. Garcia-Garcia, Dimitrios I. Fotiadis:
Prediction of atherosclerotic disease progression combining computational modelling with machine learning. EMBC 2020: 2760-2763 - [c173]Panagiotis K. Siogkas, Lampros Lakkas, Antonis I. Sakellarios, Lampros K. Michalis, Dimitrios I. Fotiadis:
The effect of the stenosis location at a coronary arterial bifurcation: a parametric study. EMBC 2020: 2804-2807 - [c172]Dimitrios Pleouras, Antonis I. Sakellarios, Vasileios S. Loukas, Savvas K. Kyriakidis, Dimitrios I. Fotiadis:
Prediction of the development of coronary atherosclerotic plaques using computational modeling in 3D reconstructed coronary arteries. EMBC 2020: 2808-2811 - [c171]Vassiliki I. Kigka, Antonis I. Sakellarios, Eleni I. Georga, Panagiotis K. Siogkas, Panagiota Tsompou, Savvas K. Kyriakidis, Silvia Rocchiccioli, Gualtiero Pelosi, Katerina K. Naka, Lampros K. Michalis, Dimitrios I. Fotiadis:
Site specific prediction of PCI stenting based on imaging and biomechanics data using gradient boosting tree ensembles. EMBC 2020: 2812-2815 - [c170]Nikolaos Kostikis, George A. Rigas, Nikolaos S. Tachos, Spiros Konitsiotis, Dimitrios I. Fotiadis:
On-Body Sensor Position Identification with a Simple, Robust and Accurate Method, Validated in Patients with Parkinson's Disease. EMBC 2020: 4156-4159 - [c169]Vasileios C. Pezoulas, Grigorios I. Grigoriadis, Nikolaos S. Tachos, Fausto Barlocco, Iacopo Olivotto, Dimitrios I. Fotiadis:
Generation of virtual patient data for in-silico cardiomyopathies drug development using tree ensembles: a comparative study. EMBC 2020: 5343-5346 - [c168]