Nikolaos S. Tachos

According to our database, Nikolaos S. Tachos authored at least 56 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ProLesA-Net: A multi-channel 3D architecture for prostate MRI lesion segmentation with multi-scale channel and spatial attentions.

Dimitrios I. Zaridis, Eugenia Mylona, Nikos Tsiknakis, Nikolaos S. Tachos, George K. Matsopoulos, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis

Patterns, 2024

ResQu-Net: Effective prostate's peripheral zone segmentation leveraging the representational power of attention-based mechanisms.

Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Charalampos Kalantzopoulos, Kostas Marias, Manolis Tsiknakis, George K. Matsopoulos, Dimitrios D. Koutsouris, Dimitrios I. Fotiadis

Biomed. Signal Process. Control., 2024

Data and System Traceability for Transparent AI in Medical Imaging.

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

Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

2023

Development of Visual Sensors and Augmented Reality Based Smart Glasses for Enhancement of Business Sustainability and Wellbeing of the Aging Workforce.

Christos C. Spandonidis, Fotis Giannopoulos, Jerónimo Agulló, Nikolaos S. Tachos, Lars Frederiksen, Aarón Martín, Ramón González Carvajal

IEEE Instrum. Meas. Mag., September, 2023

Evaluating Gait Impairment in Parkinson's Disease from Instrumented Insole and IMU Sensor Data.

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

Sensors, 2023

Diagnosis of Clinical Significant Prostate Cancer on Biparametric Mri Using Zone-Specific Radiomic Features.

Eugenia Mylona, Dimitrios G. Zaridis, Nikolaos S. Tachos, Manolis Tsiknakis, Kostas Marias, Dimitrios I. Fotiadis

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Machine Learning Models Predict the Need of Amputation and/or Peripheral Artery Revascularization in Hypertensive Patients Within 7-Years Follow-Up.

Konstantina Tsarapatsani, Antonis I. Sakellarios, Vassilis D. Tsakanikas, Hans J. Trampisch, Henrik Rudolf, Nikolaos S. Tachos, Marcus E. Kleber, Winfried März, Dimitrios I. Fotiadis

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

An integrated rehabilitation system for the upper limb spasticity assessment and treatment: the Rehabotics passive exoskeletal system.

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Boosting the performance of MALT lymphoma classification in patients with primary Sjögren's Syndrome through data augmentation: a case study.

Vasileios C. Pezoulas, Themis P. Exarchos, Nikolaos S. Tachos, Andreas Goules, Athanasios G. Tzioufas, Dimitrios I. Fotiadis

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Weight Estimation of Mediterranean Food Images using Random Forest Regression Algorithm.

Fotios S. Konstantakopoulos, Eleni I. Georga, Nikolaos S. Tachos, Dimitrios I. Fotiadis

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

A comparison study on creating simulated patient data for individuals suffering from chronic coronary disorders.

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Cleverballoon: An integrated approach for developing a drug-coated balloon with everolimus.

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Transi-Net: An Explainable Deep Learning Model Ensemble For Prostate's Transition Zone Segmentation.

Dimitrios I. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Charalampos Kalantzopoulos, Kostas Marias, Manolis Tsiknakis, Dimitrios D. Koutsouris, George K. Matsopoulos, Dimitrios I. Fotiadis

Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022

Can Gait Features Help in Differentiating Parkinson's Disease Medication States and Severity Levels? A Machine Learning Approach.

Chariklia Chatzaki, Vasileios Skaramagkas, Zinovia Kefalopoulou, Nikolaos S. Tachos, Nicholas Kostikis, Foivos Kanellos, Eleftherios Triantafyllou, Elisabeth Chroni, Dimitrios I. Fotiadis, Manolis Tsiknakis

Sensors, 2022

Smart Insole: A Gait Analysis Monitoring Platform Targeting Parkinson Disease Patients Based on Insoles.

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

CoRR, 2022

COLET: A dataset for COgnitive workLoad estimation based on eye-tracking.

Emmanouil Ktistakis, Vasileios Skaramagkas, Dimitris Manousos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Manolis Tsiknakis

Comput. Methods Programs Biomed., 2022

Data Ingestion for AI in Prostate Cancer.

Haridimos Kondylakis, Stelios Sfakianakis, Varvara Kalokyri, Nikolaos S. Tachos, Dimitrios I. Fotiadis, Kostas Marias, Manolis Tsiknakis

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

A "smart" Imputation Approach for Effective Quality Control Across Complex Clinical Data Structures.

Vasileios C. Pezoulas, Nikolaos S. Tachos, Iacopo Olivotto, Fausto Barlocco, Dimitrios I. Fotiadis

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Investigation of crimping effects on the stent deployment through in silico modeling.

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

An in silico trials platform for the evaluation of stent design effect in post-implantation outcomes.

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Segmentation of left atrium using CT images and a deep learning model.

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A User-Centric approach for Personalization based on Human Activity Recognition.

Dimitrios Boucharas, Christos Androutsos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Dimitris Manousos, Peter Skov Jensen, Luis Castilln Torre, Manolis Tsiknakis, Dimitios I. Fotiadis

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Fine-tuned feature selection to improve prostate segmentation via a fully connected meta-learner architecture.

Dimitris Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Kostas Marias, Manolis Tsiknakis, Dimitios I. Fotiadis

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

AI Methods for Personalized Suggestions on Smart Glasses Based on Human Activity Recognition.

Dimitrios Boucharas, Christos Androutsos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Dimitrios Manousos, Vasileios Skaramagkas, Emmanouil Ktistakis, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021

The Smart-Insole Dataset: Gait Analysis Using Wearable Sensors with a Focus on Elderly and Parkinson's Patients.

Chariklia Chatzaki, Vasileios Skaramagkas, Nikolaos S. Tachos, Georgios Christodoulakis, Evangelia Maniadi, Zinovia Kefalopoulou, Dimitrios I. Fotiadis, Manolis Tsiknakis

Sensors, 2021

A new smart-cropping pipeline for prostate segmentation using deep learning networks.

Dimitrios G. Zaridis, Eugenia Mylona, Kostas Marias, Nikolaos Papanikolaou, Nikolaos S. Tachos, Dimitrios I. Fotiadis

CoRR, 2021

A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy.

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

Comput. Biol. Medicine, 2021

A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains.

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

Comput. Biol. Medicine, 2021

Gait and balance patterns related to Free-Walking and TUG tests in Parkinson's Disease based on plantar pressure data.

Vassilis D. Tsakanikas, Dimitrios Dimopoulos, Nikolaos S. Tachos, Chariklia Chatzaki, Vasileios Skaramagkas, Georgios Christodoulakis, Manolis Tsiknakis, Dimitrios I. Fotiadis

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Variational Gaussian Mixture Models with robust Dirichlet concentration priors for virtual population generation in hypertrophic cardiomyopathy: a comparison study.

Vasileios C. Pezoulas, Grigorios I. Grigoriadis, Nikolaos S. Tachos, Fausto Barlocco, Iacopo Olivotto, Dimitrios I. Fotiadis

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

An in silico trials platform for the evaluation of effect of the arterial anatomy configuration on stent implantation^*.

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Comparison of three U-Net family architectures for left ventricular myocardial wall automatic segmentation.

Grigoris I. Grigoriadis, Maria Roumpi, Dimitrios G. Zaridis, Vasileios C. Pezoulas, Aidonis Rammos, Nikolaos S. Tachos, Katerina K. Naka, Dimitrios I. Fotiadis

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Real Time Human Activity Recognition Using Acceleration and First-Person Camera data.

Christos Androutsos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Ioannis Karatzanis, Dimitris Manousos, Manolis Tsiknakis, Dimitrios I. Fotiadis

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Deep Learning-based cropping technique to improve segmentation of prostate's peripheral zone.

Dimitrios G. Zaridis, Eugenia Mylona, Nikolaos S. Tachos, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

A machine learning approach to predict emotional arousal and valence from gaze extracted features.

Vasileios Skaramagkas, Emmanouil Ktistakis, Dimitris Manousos, Nikolaos S. Tachos, Eleni Kazantzaki, Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Manolis Tsiknakis

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

Cognitive workload level estimation based on eye tracking: A machine learning approach.

Vasileios Skaramagkas, Emmanouil Ktistakis, Dimitris Manousos, Nikolaos S. Tachos, Eleni Kazantzaki, Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Manolis Tsiknakis

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

In-silico Research Platform in the Cloud - Performance and Scalability Analysis.

Milos R. Ivanovic, Andreja Zivic, Nikolaos S. Tachos, George Gkois, Nenad Filipovic, Dimitrios I. Fotiadis

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

Exploring Artificial Intelligence methods for recognizing human activities in real time by exploiting inertial sensors.

Dimitrios Boucharas, Christos Androutsos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Dimitrios Manousos, Vasileios Skaramagkas, Emmanouil Ktistakis, Manolis Tsiknakis, Dimitrios I. Fotiadis

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

Towards the development of a unified virtual population model in hypertrophic cardiomyopathy.

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

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020

A cloud-based platform for the non-invasive management of coronary artery disease.

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

Enterp. Inf. Syst., 2020

Generation of virtual patient data for in-silico cardiomyopathies drug development using tree ensembles: a comparative study.

Vasileios C. Pezoulas, Grigorios I. Grigoriadis, Nikolaos S. Tachos, Fausto Barlocco, Iacopo Olivotto, Dimitrios I. Fotiadis

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

On-Body Sensor Position Identification with a Simple, Robust and Accurate Method, Validated in Patients with Parkinson's Disease.

Nikolaos Kostikis, George A. Rigas, Nikolaos S. Tachos, Spiros Konitsiotis, Dimitrios I. Fotiadis

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Design and implementation of in silico clinical trial for Bioresorbable Vascular Scaffolds.

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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Predictive Models of Coronary Artery Disease Based on Computational Modeling: The SMARTool System.

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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Numerical evaluation of the mechanical environment of a fractured long bone for osteoporotic and non-osteoporotic subjects.

Vassiliki T. Potsika, Nikolaos S. Tachos, Emilios E. Pakos, Dimitrios I. Fotiadis

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A computational multi-level atherosclerotic plaque growth model for coronary arteries.

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

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Generation of Virtual Patients for in Silico Cardiomyopathies Drug Development.

Vasileios C. Pezoulas, Nikolaos S. Tachos, Dimitrios I. Fotiadis

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018

Numerical simulation of human hearing system.

Velibor M. Isailovic, Milica M. Nikolic, Thanos Bibas, Antonis I. Sakellarios, Nikolaos S. Tachos, Miljan Milosevic, Nenad D. Filipovic

EAI Endorsed Trans. Pervasive Health Technol., 2018

A Clinical Decision Support Platform for the Risk Stratification, Diagnosis, and Prediction of Coronary Artery Disease Evolution.

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

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data.

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

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

In Silico analysis of stent deployment- effect of stent design.

Georgia S. Karanasiou, Nikolaos S. Tachos, Antonios I. Sakellarios, Claire Conway, Giancarlo Pennati, Lorenza Petrini, Lampros K. Michalis, Elazer R. Edelman, Dimitrios I. Fotiadis

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

InSilc: 3D Reconstruction and plaque characterization tool.

Georgia S. Karanasiou, George A. Rigas, Savvas K. Kyriakidis, Nikolaos S. Tachos, Antonis I. Sakellarios, Dimitrios I. Fotiadis

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

SMARTool: A tool for clinical decision support for the management of patients with coronary artery disease based on modeling of atherosclerotic plaque process.

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

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

In Silico Assessment of the effects of Material on Stent Deployment.

Georgia S. Karanasiou, Nikolaos S. Tachos, Antonios I. Sakellarios, Lampros K. Michalis, Claire Conway, Elazer R. Edelman, Dimitrios I. Fotiadis

Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016

Middle and inner ear modelling: From microCT images to 3D reconstruction and coupling of models.

Nikolaos S. Tachos, Antonis I. Sakellarios, George Rigas, Velibor Isailovic, Guangjian Ni, Frank Böhnke, Nenad Filipovic, Thanos Bibas, Dimitrios I. Fotiadis

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015

A computational study of ligaments effect in middle ear chain anatomy behavior.

Nikolaos S. Tachos, Antonis I. Sakellarios, George A. Rigas, Ioannis F. Spiridon, Athanasios Bibas, Frank Böhnke, Dimitrios I. Fotiadis

Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015