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Computational modeling of atherosclerotic plaque progression in carotid lesions with moderate degree of stenosis*.

M. Mantzaris, P. Siogkas, V. Tsakanikas, V. Potsika, D. Pleouras, A. Sakellarios, G. Karagiannis, G. Galyfos, F. Sigala, N. Liasis, M. Jovanovic, I. Koncar, M. Kallmayer, and D. Fotiadis. EMBC, page 4209-4212. IEEE, (2021)

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Vassiliki Bellou

Vassiliki Dara

Vassiliki Nikolopoulos

Vassiliki Georgiadou

Vassiliki Voudouri

Other publications of authors with the same name

A Machine Learning Model for the Identification of High risk Carotid Atherosclerotic Plaques.V. Kigka, A. Sakellarios, M. Mantzaris, V. Tsakanikas, V. Potsika, D. Palombo, F. Montecucco, and D. Fotiadis. EMBC, page 2266-2269. IEEE, (2021)Computational modelling of Human Femur after Total Hip Arthroplasty.O. Gkaintes, V. Potsika, V. Loukas, I. Gkiatas, E. Pakos, and D. Fotiadis. EMBC, page 3947-3950. IEEE, (2022)Computational modeling of ultrasonic backscattering to evaluate fracture healing.V. Potsika, T. Gortsas, V. Protopappas, D. Polyzos, and D. Fotiadis. EMBC, page 1460-1463. IEEE, (2015)Development of a smart environment for diabetes data analysis and new knowledge mining.E. Georga, V. Protopappas, C. Bellos, V. Potsika, D. Fotiadis, E. Arvaniti, and D. Makriyiannis. MobiHealth, page 112-115. ICST/IEEE, (2014)Computational modeling of long bones during the fracture healing processV. Potsika. University of Ioannina, Greece, (2017)National Archive of PhD Theses: oai:10442/44973.Convolutional Neural Networks for the Segmentation of Coronary Arteries.M. Anic, D. Fotiadis, and V. Potsika. BIBE, page 308-314. IEEE, (2023)MRI vs. US 3D computational models of carotid arteries: a proof-of-concept study.P. Siogkas, V. Tsakanikas, A. Sakellarios, V. Potsika, G. Galyfos, F. Sigala, S. Tomasevic, T. Djukic, N. Filipovic, I. Koncar and 1 other author(s). BHI, page 1-4. IEEE, (2022)Computational study of the influence of callus porosity on ultrasound propagation in healing bones.V. Potsika, I. Spiridon, V. Protopappas, M. Vavva, P. Lymperopoulos, C. Massalas, D. Polyzos, and D. Fotiadis. EMBC, page 684-687. IEEE, (2014)Prediction of the atherosclerotic plaque development in carotid arteries; the effect of T-cells.D. Pleouras, M. Mantzaris, P. Siogkas, V. Tsakanikas, V. Potsika, A. Sakellarios, P. Tsompou, F. Sigala, and D. Fotiadis. EMBC, page 1590-1593. IEEE, (2022)An integrated rehabilitation system for the upper limb spasticity assessment and treatment: the Rehabotics passive exoskeletal system.V. Potsika, N. Tachos, A. Pardalis, C. Papaioannou, I. Kouris, T. Economopoulos, P. Syringas, N. Tselikas, O. Zestas, G. Papagiannis and 5 other author(s). EMBC, page 1-4. IEEE, (2023)

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Disambiguation of "Potsika, Vassiliki T."

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Computational modeling of atherosclerotic plaque progression in carotid lesions with moderate degree of stenosis*.

Please choose a person to relate this publication to

Vassiliki Bellou

Vassiliki Dara

Vassiliki Nikolopoulos

Vassiliki Georgiadou

Vassiliki Voudouri

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Potsika, Vassiliki T."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Computational modeling of atherosclerotic plaque progression in carotid lesions with moderate degree of stenosis*.

Please choose a person to relate this publication to

Vassiliki Bellou

Vassiliki Dara

Vassiliki Nikolopoulos

Vassiliki Georgiadou

Vassiliki Voudouri

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Computational modeling of atherosclerotic plaque progression in carotid lesions with moderate degree of stenosis*.