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2020 – today
- 2024
[c12]Dimitrios S. Pleouras, Panagiotis K. Siogkas, Vassiliki T. Potsika, Vasilis D. Tsakanikas, Sokratis S. Dimos, Michalis D. Mantzaris, Igor Koncar, Dimitrios I. Fotiadis:
Investigation of the significance of the plaque morphology evolution in plaque rupture events using computational biomechanics. EMBC 2024: 1-4- 2023
- [c11]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 - [c10]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 - [c9]Nenad Filipovic, Smiljana Tomasevic
, Branko Arsic, Milos Anic, Tijana Djukic, Igor Koncar:
Agent Based with Finite Element Method for Plaque Progression in the Carotid Artery. DSP 2023: 1-5 - 2022
- [c8]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 - [c7]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 - 2021
- [c6]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 - 2020
- [c5]Tijana Djukic, Branko Arsic, Smiljana Djorovic, Nenad Filipovic, Igor Koncar:
Validation of the machine learning approach for 3D reconstruction of carotid artery from ultrasound imaging. BIBE 2020: 789-794 - [c4]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
2010 – 2019
- 2019
- [c3]Michalis D. Mantzaris, Evangelos Andreakos, Dimitrios I. Fotiadis, Vassiliki T. Potsika, Panagiotis K. Siogkas, Vassiliki Kigka, Vasileios C. Pezoulas, Ioannis G. Pappas, Themis P. Exarchos, Igor Koncar, Jaroslav Pelisek:
A Multimodal Advanced Approach for the Stratification of Carotid Artery Disease. BIBE 2019: 706-709 - 2018
- [j1]Smiljana Djorovic, Igor Koncar, Lazar Davidovic, Strahinja Starcevic, Nenad Filipovic:
Computational Analysis of Blood Flow Characteristics in an Aortic System with Abdominal and Left Common Iliac Aneurysm Pre- and Post-Stent Grafting. EAI Endorsed Trans. Pervasive Health Technol. 4(13): e4 (2018) - 2015
- [c2]Igor Koncar, Milos Sladojevic, Dalibor Nikolic, Zarko Milosevic, Marko Dragas, I. Banzic, Miroslav Markovic, Nenad Filipovic, Lazar Davidovic:
Intraluminal thrombus asymmetrical deposition in ruptured and symptomatic abdominal aortic aneurysm. BIBE 2015: 1-3 - 2013
- [c1]Igor Koncar, Dalibor Nikolic, Suzana Pantovic, Mirko Rosic, Nikola Mijailovic, Nikola Ilic, Marko Dragas, Zivan Maksimovic, Lazar Davidovic, Nenad D. Filipovic:
Modeling of abdominal aortic aneurism rupture by using experimental bubble inflation test. BIBE 2013: 1-4
Coauthor Index
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