Sakellarios A - Search Results

1

Prediction of the atherosclerotic plaque development in carotid arteries; the effect of T-cells.

Pleouras DS, Mantzaris MD, Siogkas PK, Tsakanikas VD, Potsika VT, Sakellarios A, Tsompou P, Sigala F, Fotiadis DI. Pleouras DS, et al. Among authors: sakellarios a. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:1590-1593. doi: 10.1109/EMBC48229.2022.9871632. Annu Int Conf IEEE Eng Med Biol Soc. 2022. PMID: 36085734

2

A proof-of-concept study for predicting the region of atherosclerotic plaque development based on plaque growth modeling in carotid arteries.

Sakellarios AI, Bizopoulos P, Stefanou K, Athanasiou LS, Papafaklis MI, Bourantas CV, Naka KK, Michalis LK, Fotiadis DI. Sakellarios AI, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6552-5. doi: 10.1109/EMBC.2015.7319894. Annu Int Conf IEEE Eng Med Biol Soc. 2015. PMID: 26737794

3

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. 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

4

Site specific prediction of atherosclerotic plaque progression using computational biomechanics and machine learning.

Kigka VI, Sakellarios AI, Tsompou P, Kyriakidis S, Siogkas P, Andrikos I, Michalis LK, Fotiadis DI. Kigka VI, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:6998-7001. doi: 10.1109/EMBC.2019.8856881. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31947449

5

Prediction of the development of coronary atherosclerotic plaques using computational modeling in 3D reconstructed coronary arteries.

Pleouras DS, Sakellarios AI, Loukas VS, Kyriakidis S, Fotiadis DI. Pleouras DS, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2808-2811. doi: 10.1109/EMBC44109.2020.9176219. Annu Int Conf IEEE Eng Med Biol Soc. 2020. PMID: 33018590

6

A Machine Learning Model for the Identification of High risk Carotid Atherosclerotic Plaques.

Kigka VI, Sakellarios AI, Mantzaris MD, Tsakanikas VD, Potsika VT, Palombo D, Montecucco F, Fotiadis DI. Kigka VI, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:2266-2269. doi: 10.1109/EMBC46164.2021.9630654. Annu Int Conf IEEE Eng Med Biol Soc. 2021. PMID: 34891738

7

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

Mantzaris MD, Siogkas PK, Tsakanikas VD, Potsika VT, Pleouras DS, Sakellarios AI, Karagiannis G, Galyfos G, Sigala F, Liasis N, Jovanovic M, Koncar IB, Kallmayer M, Fotiadis DI. Mantzaris MD, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:4209-4212. doi: 10.1109/EMBC46164.2021.9630376. Annu Int Conf IEEE Eng Med Biol Soc. 2021. PMID: 34892152

8

A proof-of-concept study for the prediction of the de-novo atherosclerotic plaque development using finite elements.

Sakellarios AI, Tsompou P, Kigka V, Karanasiou G, Tsarapatsani K, Kyriakidis S, Karanasiou G, Siogkas P, Nikopoulos S, Rocchiccioli S, Pelosi G, Michalis LK, Fotiadis DI. Sakellarios AI, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:4354-4357. doi: 10.1109/EMBC46164.2021.9629792. Annu Int Conf IEEE Eng Med Biol Soc. 2021. PMID: 34892184

9

Detection of Asymptomatic Carotid Artery Stenosis through Machine Learning.

Kigka VI, Sakellarios AI, Tsakanikas VD, Potsika VT, Koncar I, Fotiadis DI. Kigka VI, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:1041-1044. doi: 10.1109/EMBC48229.2022.9870927. Annu Int Conf IEEE Eng Med Biol Soc. 2022. PMID: 36085692

10

Patient-specific prediction of coronary plaque growth from CTA angiography: a multiscale model for plaque formation and progression.

Parodi O, Exarchos TP, Marraccini P, Vozzi F, Milosevic Z, Nikolic D, Sakellarios A, Siogkas PK, Fotiadis DI, Filipovic N. Parodi O, et al. Among authors: sakellarios a. IEEE Trans Inf Technol Biomed. 2012 Sep;16(5):952-65. doi: 10.1109/TITB.2012.2201732. Epub 2012 May 30. IEEE Trans Inf Technol Biomed. 2012. PMID: 22665513

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