315 related articles for article (PubMed ID: 27893402)
1. A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound.
Lekadir K; Galimzianova A; Betriu A; Del Mar Vila M; Igual L; Rubin DL; Fernandez E; Radeva P; Napel S
IEEE J Biomed Health Inform; 2017 Jan; 21(1):48-55. PubMed ID: 27893402
[TBL] [Abstract][Full Text] [Related]
2. Automatic segmentation of ultrasound images of carotid atherosclerotic plaque based on Dense-UNet.
Deng C; Adu J; Xie S; Li Z; Meng Q; Zhang Q; Yin L; Peng B
Technol Health Care; 2023; 31(1):165-179. PubMed ID: 35964217
[TBL] [Abstract][Full Text] [Related]
3. An image registration-based self-supervised Su-Net for carotid plaque ultrasound image segmentation.
Ding J; Zhou R; Fang X; Wang F; Wang J; Gan H; Fenster A
Comput Methods Programs Biomed; 2024 Feb; 244():107957. PubMed ID: 38061113
[TBL] [Abstract][Full Text] [Related]
4. Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation.
Vila MDM; Remeseiro B; Grau M; Elosua R; Betriu À; Fernandez-Giraldez E; Igual L
Artif Intell Med; 2020 Mar; 103():101784. PubMed ID: 32143791
[TBL] [Abstract][Full Text] [Related]
5. [Dual source computed tomography in analysis of significance and morphology carotid plaques].
Witkiewicz W; Klimeczek P; Iwanowski W; Pasicka B; Dołega-Kozierowski B; Drelichowski S; Dyś K; Zaleska-Dorobisz U
Przegl Lek; 2013; 70(3):118-22. PubMed ID: 24003664
[TBL] [Abstract][Full Text] [Related]
6. Fully automated carotid plaque segmentation in combined contrast-enhanced and B-mode ultrasound.
Akkus Z; Carvalho DD; van den Oord SC; Schinkel AF; Niessen WJ; de Jong N; van der Steen AF; Klein S; Bosch JG
Ultrasound Med Biol; 2015 Feb; 41(2):517-31. PubMed ID: 25542485
[TBL] [Abstract][Full Text] [Related]
7. Lumen segmentation and motion estimation in B-mode and contrast-enhanced ultrasound images of the carotid artery in patients with atherosclerotic plaque.
Carvalho DD; Akkus Z; van den Oord SC; Schinkel AF; van der Steen AF; Niessen WJ; Bosch JG; Klein S
IEEE Trans Med Imaging; 2015 Apr; 34(4):983-93. PubMed ID: 25423650
[TBL] [Abstract][Full Text] [Related]
8. [Carotid Ultrasound].
Ogata T; Shimada H
Rinsho Byori; 2014 Sep; 62(9):862-7. PubMed ID: 27526530
[TBL] [Abstract][Full Text] [Related]
9. Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm.
Araki T; Jain PK; Suri HS; Londhe ND; Ikeda N; El-Baz A; Shrivastava VK; Saba L; Nicolaides A; Shafique S; Laird JR; Gupta A; Suri JS
Comput Biol Med; 2017 Jan; 80():77-96. PubMed ID: 27915126
[TBL] [Abstract][Full Text] [Related]
10. Automated detection of vulnerable plaque in intravascular ultrasound images.
Jun TJ; Kang SJ; Lee JG; Kweon J; Na W; Kang D; Kim D; Kim D; Kim YH
Med Biol Eng Comput; 2019 Apr; 57(4):863-876. PubMed ID: 30426362
[TBL] [Abstract][Full Text] [Related]
11. Identification of patients with a histologically unstable carotid plaque using ultrasonic plaque image analysis.
Salem MK; Bown MJ; Sayers RD; West K; Moore D; Nicolaides A; Robinson TG; Naylor AR
Eur J Vasc Endovasc Surg; 2014 Aug; 48(2):118-25. PubMed ID: 24947079
[TBL] [Abstract][Full Text] [Related]
12. FRDD-Net: Automated Carotid Plaque Ultrasound Images Segmentation Using Feature Remapping and Dense Decoding.
Li Y; Zou L; Xiong L; Yu F; Jiang H; Fan C; Cheng M; Li Q
Sensors (Basel); 2022 Jan; 22(3):. PubMed ID: 35161631
[TBL] [Abstract][Full Text] [Related]
13. Carotid plaque segmentation from three-dimensional ultrasound images by direct three-dimensional sparse field level-set optimization.
Cheng J; Chen Y; Yu Y; Chiu B
Comput Biol Med; 2018 Mar; 94():27-40. PubMed ID: 29407996
[TBL] [Abstract][Full Text] [Related]
14. An integrated method for atherosclerotic carotid plaque segmentation in ultrasound image.
Qian C; Yang X
Comput Methods Programs Biomed; 2018 Jan; 153():19-32. PubMed ID: 29157451
[TBL] [Abstract][Full Text] [Related]
15. Intra-individual comparison of carotid and femoral atherosclerotic plaque features with in vivo MR plaque imaging.
Helck A; Bianda N; Canton G; Yuan C; Hippe DS; Reiser MF; Gallino A; Wyttenbach R; Saam T
Int J Cardiovasc Imaging; 2015 Dec; 31(8):1611-8. PubMed ID: 26296806
[TBL] [Abstract][Full Text] [Related]
16. Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system.
Saba L; Sanagala SS; Gupta SK; Koppula VK; Johri AM; Sharma AM; Kolluri R; Bhatt DL; Nicolaides A; Suri JS
Int J Cardiovasc Imaging; 2021 May; 37(5):1511-1528. PubMed ID: 33423132
[TBL] [Abstract][Full Text] [Related]
17. Ex vivo differential phase contrast and magnetic resonance imaging for characterization of human carotid atherosclerotic plaques.
Meletta R; Borel N; Stolzmann P; Astolfo A; Klohs J; Stampanoni M; Rudin M; Schibli R; Krämer SD; Herde AM
Int J Cardiovasc Imaging; 2015 Oct; 31(7):1425-34. PubMed ID: 26179860
[TBL] [Abstract][Full Text] [Related]
18. Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images.
Ganitidis T; Athanasiou M; Dalakleidi K; Melanitis N; Golemati S; Nikita KS
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3902-3905. PubMed ID: 34892085
[TBL] [Abstract][Full Text] [Related]
19. Bimodal Automated Carotid Ultrasound Segmentation Using Geometrically Constrained Deep Neural Networks.
Azzopardi C; Camilleri KP; Hicks YA
IEEE J Biomed Health Inform; 2020 Apr; 24(4):1004-1015. PubMed ID: 31944969
[TBL] [Abstract][Full Text] [Related]
20. Concise biomarker for spatial-temporal change in three-dimensional ultrasound measurement of carotid vessel wall and plaque thickness based on a graph-based random walk framework: Towards sensitive evaluation of response to therapy.
Chiu B; Chen W; Cheng J
Comput Biol Med; 2016 Dec; 79():149-162. PubMed ID: 27810621
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
