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Vassiliki T. Potsika
Person information
- affiliation: University of Ioannina, Greece
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Books and Theses
- 2017
- [b1]Vassiliki T. Potsika:
Computational modeling of long bones during the fracture healing process. University of Ioannina, Greece, 2017
Conference and Workshop Papers
- 2023
- [c25]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 - [c24]Milos Anic
, Dimitrios I. Fotiadis, Vassiliki T. Potsika:
Convolutional Neural Networks for the Segmentation of Coronary Arteries. BIBE 2023: 308-314 - [c23]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 - [c22]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 - [c21]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 - [c20]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 - [c19]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 - 2022
- [c18]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 - [c17]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 - [c16]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 - [c15]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 - [c14]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 - 2021
- [c13]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 - [c12]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
- [c11]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 - 2019
- [c10]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 - [c9]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 - 2017
- [c8]Vassiliki T. Potsika, Konstantinos N. Grivas, Theodoros V. Gortsas
, Vasilios C. Protopappas, Demosthenes K. Polyzos, Dimitrios I. Fotiadis:
Evaluation of ultrasonic scattering for different cortical bone porosities and excitation frequencies: A numerical study. EMBC 2017: 4211-4214 - 2016
- [c7]Vassiliki T. Potsika, Konstantinos N. Grivas, Theodoros Gortsas
, Vasilios C. Protopappas, Demosthenes K. Polyzos, Dimitrios I. Fotiadis:
Boundary element simulation of ultrasonic backscattering during the fracture healing process. EMBC 2016: 2913-2916 - [c6]Vassiliki T. Potsika, Konstantinos N. Grivas, Theodoros Gortsas
, Vasilios C. Protopappas, Demosthenes Polyzos, Dimitrios I. Fotiadis:
Numerical Simulation of Ultrasonic Backscattering During Fracture Healing Using Numerical Models Based on Scanning Acoustic Microscopy Images. SASHIMI@MICCAI 2016: 55-64 - 2015
- [c5]Vassiliki T. Potsika, Konstantinos N. Grivas, Theodoros Gortsas, Vasilios C. Protopappas, Demosthenes K. Polyzos, Kay Raum
, Dimitrios I. Fotiadis:
Ultrasound propagation in cortical bone: Axial transmission and backscattering simulations. EMBC 2015: 1456-1459 - [c4]Vassiliki T. Potsika, Theodoros Gortsas
, Vasilios C. Protopappas
, Demosthenes K. Polyzos, Dimitrios I. Fotiadis:
Computational modeling of ultrasonic backscattering to evaluate fracture healing. EMBC 2015: 1460-1463 - 2014
- [c3]Vassiliki T. Potsika, Ioannis F. Spiridon, Vasilios C. Protopappas, Maria G. Vavva, Panagiotis D. Lymperopoulos, Christos V. Massalas, Demosthenes K. Polyzos, Dimitrios I. Fotiadis:
Computational study of the influence of callus porosity on ultrasound propagation in healing bones. EMBC 2014: 684-687 - [c2]Eleni I. Georga
, Vasilios C. Protopappas, Christos Bellos
, Vassiliki T. Potsika, Dimitrios I. Fotiadis, Eleni Arvaniti, Dimitrios Makriyiannis:
Development of a smart environment for diabetes data analysis and new knowledge mining. MobiHealth 2014: 112-115 - 2013
- [c1]Vassiliki T. Potsika, Vasilios C. Protopappas, Maria G. Vavva, Demosthenes Polyzos, Dimitrios I. Fotiadis:
Phase velocity and attenuation predictions of waves in cancellous bone using an iterative effective medium approximation. EMBC 2013: 7160-7163
Coauthor Index
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