Nikita KS - Search Results

1

Carotid Wall Longitudinal Motion in Ultrasound Imaging: An Expert Consensus Review.

Rizi FY, Au J, Yli-Ollila H, Golemati S, Makūnaitė M, Orkisz M, Navab N, MacDonald M, Laitinen TM, Behnam H, Gao Z, Gastounioti A, Jurkonis R, Vray D, Laitinen T, Sérusclat A, Nikita KS, Zahnd G. Rizi FY, et al. Among authors: nikita ks. Ultrasound Med Biol. 2020 Oct;46(10):2605-2624. doi: 10.1016/j.ultrasmedbio.2020.06.006. Epub 2020 Jul 21. Ultrasound Med Biol. 2020. PMID: 32709520 Review.

2

Carotid artery wall motion analysis from B-mode ultrasound using adaptive block matching: in silico evaluation and in vivo application.

Gastounioti A, Golemati S, Stoitsis JS, Nikita KS. Gastounioti A, et al. Among authors: nikita ks. Phys Med Biol. 2013 Dec 21;58(24):8647-61. doi: 10.1088/0031-9155/58/24/8647. Epub 2013 Nov 21. Phys Med Biol. 2013. PMID: 24256708

3

Fractal dimension estimation of carotid atherosclerotic plaques from B-mode ultrasound: a pilot study.

Asvestas P, Golemati S, Matsopoulos GK, Nikita KS, Nicolaides AN. Asvestas P, et al. Among authors: nikita ks. Ultrasound Med Biol. 2002 Sep;28(9):1129-36. doi: 10.1016/s0301-5629(02)00550-1. Ultrasound Med Biol. 2002. PMID: 12401382

4

Computer-aided diagnosis of carotid atherosclerosis based on ultrasound image statistics, laws' texture and neural networks.

Mougiakakou SG, Golemati S, Gousias I, Nicolaides AN, Nikita KS. Mougiakakou SG, et al. Among authors: nikita ks. Ultrasound Med Biol. 2007 Jan;33(1):26-36. doi: 10.1016/j.ultrasmedbio.2006.07.032. Ultrasound Med Biol. 2007. PMID: 17189044

5

Using the Hough transform to segment ultrasound images of longitudinal and transverse sections of the carotid artery.

Golemati S, Stoitsis J, Sifakis EG, Balkizas T, Nikita KS. Golemati S, et al. Among authors: nikita ks. Ultrasound Med Biol. 2007 Dec;33(12):1918-32. doi: 10.1016/j.ultrasmedbio.2007.05.021. Epub 2007 Jul 25. Ultrasound Med Biol. 2007. PMID: 17651891

6

Affine optical flow combined with multiscale image analysis for motion estimation of the arterial wall from B-mode ultrasound.

Gastounioti A, Tsiaparas NN, Golemati S, Stoitsis JS, Nikita KS. Gastounioti A, et al. Among authors: nikita ks. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:559-62. doi: 10.1109/IEMBS.2011.6090103. Annu Int Conf IEEE Eng Med Biol Soc. 2011. PMID: 22254371

7

CurveletTransform-Based Texture Analysis of Carotid B-mode Ultrasound Images in Asymptomatic Men With Moderate and Severe Stenoses: A Preliminary Clinical Study.

Golemati S, Yanni A, Tsiaparas NN, Lechareas S, Vlachos IS, Cokkinos DD, Krokidis M, Nikita KS, Perrea D, Chatziioannou A. Golemati S, et al. Among authors: nikita ks. Ultrasound Med Biol. 2022 Jan;48(1):78-90. doi: 10.1016/j.ultrasmedbio.2021.09.005. Epub 2021 Oct 16. Ultrasound Med Biol. 2022. PMID: 34666918

8

Analysis and quantification of arterial wall motion from B-mode ultrasound images - comparison of block-matching and optical flow.

Stoitsis J, Golemati S, Dimopoulos A, Nikita K. Stoitsis J, et al. Conf Proc IEEE Eng Med Biol Soc. 2005;2005:4469-72. doi: 10.1109/IEMBS.2005.1615459. Conf Proc IEEE Eng Med Biol Soc. 2005. PMID: 17281229

9

A mathematical model of the mechanical deformation of the carotid artery wall and its application to clinical data.

Stoitsis J, Golemati S, Bastouni E, Nikita KS. Stoitsis J, et al. Among authors: nikita ks. Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:2163-6. doi: 10.1109/IEMBS.2007.4352751. Annu Int Conf IEEE Eng Med Biol Soc. 2007. PMID: 18002417

10

Automated detection of the carotid artery wall in B-mode ultrasound images using active contours initialized by the Hough Transform.

Stoitsis J, Golemati S, Kendros S, Nikita KS. Stoitsis J, et al. Among authors: nikita ks. Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:3146-9. doi: 10.1109/IEMBS.2008.4649871. Annu Int Conf IEEE Eng Med Biol Soc. 2008. PMID: 19163374

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