Kigka VI - Search Results

1

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

2

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. 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

3

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

4

A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging.

Tsakanikas VD, Siogkas PK, Mantzaris MD, Potsika VT, Kigka VI, Exarchos TP, Koncar IB, Jovanovic M, Vujcic A, Ducic S, Pelisek J, Fotiadis DI. Tsakanikas VD, et al. Among authors: kigka vi. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2408-2411. doi: 10.1109/EMBC44109.2020.9176532. Annu Int Conf IEEE Eng Med Biol Soc. 2020. PMID: 33018492 Free article.

5

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

6

Comparison of 3D reconstruction methods based on different cardiovascular imaging: a study of multimodality reconstruction method.

Tsompou PI, Sakellarios AI, Siogkas PK, Andrikos IO, Kigka VI, Lemos PA, Michalis LK, Fotiadis DI. Tsompou PI, et al. Among authors: kigka vi. Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:899-902. doi: 10.1109/EMBC.2018.8512322. Annu Int Conf IEEE Eng Med Biol Soc. 2018. PMID: 30440536

7

A new method for the 3D reconstruction of coronary bifurcations pre and post the angioplasty procedure using the QCA.

Andrikos IO, Sakellarios AI, Siogkas PK, Tsompou PI, Kigka VI, Michalis LK, Fotiadis DI. Andrikos IO, et al. Among authors: kigka vi. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:5757-5760. doi: 10.1109/EMBC.2019.8857228. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31947160

8

A comparison of three multimodality coronary 3D reconstruction methods.

Tsompou PI, Siogkas PK, Sakellarios AI, Andrikos IO, Kigka VI, Lemos PA, Michalis LK, Fotiadis DI. Tsompou PI, et al. Among authors: kigka vi. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:5812-5815. doi: 10.1109/EMBC.2019.8857582. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31947173

9

Validation study of a novel method for the 3D reconstruction of coronary bifurcations.

Tsompou PI, Andrikos IO, Karanasiou GS, Sakellarios AI, Tsigkas N, Kigka VI, Kyriakidis S, Michalis LK, Fotiadis DI, Author SB. Tsompou PI, et al. Among authors: kigka vi. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:1576-1579. doi: 10.1109/EMBC44109.2020.9176178. Annu Int Conf IEEE Eng Med Biol Soc. 2020. PMID: 33018294

10

Site specific prediction of PCI stenting based on imaging and biomechanics data using gradient boosting tree ensembles.

Kigka VI, Sakellarios AI, Georga EI, Siogkas P, Tsompou P, Kyriakidis S, Rocchiccioli S, Pelosi G, Naka K, Michalis LK, Fotiadis DI. Kigka VI, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2812-2815. doi: 10.1109/EMBC44109.2020.9175612. Annu Int Conf IEEE Eng Med Biol Soc. 2020. PMID: 33018591

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