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Page 1
A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for In Silico Clinical Trials of Stent Design.
Pleouras D, Sakellarios A, Rigas G, Karanasiou GS, Tsompou P, Karanasiou G, Kigka V, Kyriakidis S, Pezoulas V, Gois G, Tachos N, Ramos A, Pelosi G, Rocchiccioli S, Michalis L, Fotiadis DI. Pleouras D, et al. Among authors: tsompou p. IEEE Open J Eng Med Biol. 2021 May 20;2:201-209. doi: 10.1109/OJEMB.2021.3082328. eCollection 2021. IEEE Open J Eng Med Biol. 2021. PMID: 35402969 Free PMC article.
A three-dimensional quantification of calcified and non-calcified plaques in coronary arteries based on computed tomography coronary angiography images: Comparison with expert's annotations and virtual histology intravascular ultrasound.
Kigka VI, Sakellarios A, Kyriakidis S, Rigas G, Athanasiou L, Siogkas P, Tsompou P, Loggitsi D, Benz DC, Buechel R, Lemos PA, Pelosi G, Michalis LK, Fotiadis DI. Kigka VI, et al. Among authors: tsompou p. Comput Biol Med. 2019 Oct;113:103409. doi: 10.1016/j.compbiomed.2019.103409. Epub 2019 Aug 27. Comput Biol Med. 2019. PMID: 31480007
An in silico trials platform for the evaluation of effect of the arterial anatomy configuration on stent implantation.
Karanasiou GS, Tsompou PI, Tachos N, Karanasiou GE, Sakellarios A, Kyriakidis S, Antonini L, Pennati G, Petrini L, Gijsen F, Nezami FR, Tzafriri R, Fawdry M, Fotiadis DI. Karanasiou GS, et al. Among authors: tsompou pi. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:4213-4217. doi: 10.1109/EMBC46164.2021.9629950. Annu Int Conf IEEE Eng Med Biol Soc. 2021. PMID: 34892153
An in silico trials platform for the evaluation of stent design effect in post-implantation outcomes.
Karanasiou GS, Tsompou PI, Tachos N, Karanasiou GE, Sakellarios A, Kyriakidis S, Antonini L, Pennati G, Petrini L, Gijsen F, Vaughan T, Katsouras C, Michalis L, Fotiadis DI. Karanasiou GS, et al. Among authors: tsompou pi. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:4970-4973. doi: 10.1109/EMBC48229.2022.9871483. Annu Int Conf IEEE Eng Med Biol Soc. 2022. PMID: 36086562
A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data.
Kigka VI, Georga EI, Sakellarios AI, Tachos NS, Andrikos I, Tsompou P, Rocchiccioli S, Pelosi G, Parodi O, Michalis LK, Fotiadis DI. Kigka VI, et al. Among authors: tsompou p. Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:6108-6111. doi: 10.1109/EMBC.2018.8513620. Annu Int Conf IEEE Eng Med Biol Soc. 2018. PMID: 30441728
A computational multi-level atherosclerotic plaque growth model for coronary arteries.
Pleouras D, Rocchiccioli S, Pelosi G, Michalis LK, Fotiadis DI, Sakellarios AI, Kyriakidis S, Kigka V, Siogkas P, Tsompou P, Tachos N, Georga E, Andrikos I. Pleouras D, et al. Among authors: tsompou p. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:5010-5013. doi: 10.1109/EMBC.2019.8857329. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31946985
Error Propagation in the Simulation of Atherosclerotic Plaque Growth and the Prediction of Atherosclerotic Disease Progression.
Sakellarios AI, Siogkas P, Kigka V, Tsompou P, Pleouras D, Kyriakidis S, Karanasiou G, Pelosi G, Nikopoulos S, Naka KK, Rocchiccioli S, Michalis LK, Fotiadis DI. Sakellarios AI, et al. Among authors: tsompou p. Diagnostics (Basel). 2021 Dec 8;11(12):2306. doi: 10.3390/diagnostics11122306. Diagnostics (Basel). 2021. PMID: 34943545 Free PMC article.
Machine Learning Coronary Artery Disease Prediction Based on Imaging and Non-Imaging Data.
Kigka VI, Georga E, Tsakanikas V, Kyriakidis S, Tsompou P, Siogkas P, Michalis LK, Naka KK, Neglia D, Rocchiccioli S, Pelosi G, Fotiadis DI, Sakellarios A. Kigka VI, et al. Among authors: tsompou p. Diagnostics (Basel). 2022 Jun 14;12(6):1466. doi: 10.3390/diagnostics12061466. Diagnostics (Basel). 2022. PMID: 35741275 Free PMC article.
24 results