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2020 – today
- 2024
[j11]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)- [j10]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) - [c43]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 - 2023
- [j9]Christos C. Spandonidis, Fotis Giannopoulos, Jerónimo Agulló, Nikolaos S. Tachos, Lars Frederiksen, Aarón Martín, Ramón González Carvajal:
Development of Visual Sensors and Augmented Reality Based Smart Glasses for Enhancement of Business Sustainability and Wellbeing of the Aging Workforce. IEEE Instrum. Meas. Mag. 26(6): 21-27 (2023) - [j8]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) - [c42]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 - [c41]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 - [c40]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 - [c39]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 - [c38]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 - [c37]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 - [c36]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 - [c35]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 - 2022
- [j7]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) - [j6]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) - [c34]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 - [c33]Dimitris Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Kostas Marias, Manolis Tsiknakis, Dimitios I. Fotiadis:
Fine-tuned feature selection to improve prostate segmentation via a fully connected meta-learner architecture. BHI 2022: 1-4 - [c32]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 - [c31]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 - [c30]Dimitrios Boucharas, Christos Androutsos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Dimitris Manousos, Peter Skov Jensen, Luis Castilln Torre, Manolis Tsiknakis, Dimitios I. Fotiadis:
A User-Centric approach for Personalization based on Human Activity Recognition. EMBC 2022: 1770-1773 - [c29]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 - [c28]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 - [c27]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 - [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
- [j5]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) - [j4]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) - [j3]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) - [c26]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 - [c25]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 - [c24]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 - [c23]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 - [c22]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 - [c21]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 - [c20]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 - [c19]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 - [c18]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 - [c17]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 - [c16]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 - [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
- [j2]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) - [c15]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 - [c14]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 - [c13]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
2010 – 2019
- 2019
- [c12]Vasileios C. Pezoulas, Nikolaos S. Tachos, Dimitrios I. Fotiadis:
Generation of Virtual Patients for in Silico Cardiomyopathies Drug Development. BIBE 2019: 671-674 - [c11]Dimitrios Pleouras, Antonis I. Sakellarios, Savvas K. Kyriakidis, Vassiliki Kigka, Panagiotis K. Siogkas, Panagiota Tsompou, Nikolaos S. Tachos, Elena Georga, Ioannis O. Andrikos, Silvia Rocchiccioli, Gualtiero Pelosi, Lampros K. Michalis, Dimitrios I. Fotiadis:
A computational multi-level atherosclerotic plaque growth model for coronary arteries. EMBC 2019: 5010-5013 - [c10]Vassiliki T. Potsika, Nikolaos S. Tachos, Emilios E. Pakos, Dimitrios I. Fotiadis:
Numerical evaluation of the mechanical environment of a fractured long bone for osteoporotic and non-osteoporotic subjects. EMBC 2019: 6960-6963 - [c9]Antonis I. Sakellarios, Panagiota Tsompou, Panagiotis K. Siogkas, Vassiliki Kigka, Ioannis O. Andrikos, Nikolaos S. Tachos, Elena Georga, Savvas K. Kyriakidis, Silvia Rocchiccioli, Gualtiero Pelosi, Dimitrios I. Fotiadis:
Predictive Models of Coronary Artery Disease Based on Computational Modeling: The SMARTool System. EMBC 2019: 7002-7005 - 2018
- [j1]Velibor M. Isailovic, Milica M. Nikolic, Thanos Bibas, Antonis I. Sakellarios, Nikolaos S. Tachos, Miljan Milosevic, Nenad D. Filipovic:
Numerical simulation of human hearing system. EAI Endorsed Trans. Pervasive Health Technol. 4(13): e3 (2018) - [c8]Georgia S. Karanasiou, George A. Rigas, Savvas K. Kyriakidis, Nikolaos S. Tachos, Antonis I. Sakellarios, Dimitrios I. Fotiadis:
InSilc: 3D Reconstruction and plaque characterization tool. EMBC 2018: 4528-4531 - [c7]Antonis I. Sakellarios, Panagiotis K. Siogkas, Eleni I. Georga, Nikolaos S. Tachos, Vassiliki Kigka, Panagiota Tsompou, Ioannis O. Andrikos, Georgia S. Karanasiou, Silvia Rocchiccioli, Joao Correia, Gualtiero Pelosi, Paolo Stofella, Nenad Filipovic, Oberdan Parodi, Dimitrios I. Fotiadis:
A Clinical Decision Support Platform for the Risk Stratification, Diagnosis, and Prediction of Coronary Artery Disease Evolution. EMBC 2018: 4556-4559 - [c6]Georgia S. Karanasiou, Nikolaos S. Tachos, Antonios I. Sakellarios, Claire Conway, Giancarlo Pennati, Lorenza Petrini, Lampros K. Michalis, Elazer R. Edelman, Dimitrios I. Fotiadis:
In Silico analysis of stent deployment- effect of stent design. EMBC 2018: 4567-4570 - [c5]Vassiliki I. Kigka, Eleni I. Georga, Antonis I. Sakellarios, Nikolaos S. Tachos, Ioannis O. Andrikos, Panagiota Tsompou, Silvia Rocchiccioli, Gualtiero Pelosi, Oberdan Parodi, Lampros K. Michalis, Dimitrios I. Fotiadis:
A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data. EMBC 2018: 6108-6111 - 2017
- [c4]Georgia S. Karanasiou, Nikolaos S. Tachos, Antonios I. Sakellarios, Lampros K. Michalis, Claire Conway, Elazer R. Edelman, Dimitrios I. Fotiadis:
In Silico Assessment of the effects of Material on Stent Deployment. BIBE 2017: 462-467 - [c3]Antonis I. Sakellarios, George Rigas, Vassiliki Kigka, Panagiotis K. Siogkas, Panagiota Tsompou, Georgia S. Karanasiou, Themis P. Exarchos, Ioannis O. Andrikos, Nikolaos S. Tachos, Gualtiero Pelosi, Oberdan Parodi, Dimitrios I. Fotiadis:
SMARTool: A tool for clinical decision support for the management of patients with coronary artery disease based on modeling of atherosclerotic plaque process. EMBC 2017: 96-99 - 2016
- [c2]Nikolaos S. Tachos, Antonis I. Sakellarios, George Rigas, Velibor Isailovic, Guangjian Ni, Frank Böhnke, Nenad Filipovic, Thanos Bibas, Dimitrios I. Fotiadis:
Middle and inner ear modelling: From microCT images to 3D reconstruction and coupling of models. EMBC 2016: 5961-5964 - 2015
- [c1]Nikolaos S. Tachos, Antonis I. Sakellarios, George A. Rigas, Ioannis F. Spiridon, Athanasios Bibas, Frank Böhnke, Dimitrios I. Fotiadis:
A computational study of ligaments effect in middle ear chain anatomy behavior. BIBE 2015: 1-4
Coauthor Index
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