678 related articles for article (PubMed ID: 30388501)
1. Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier.
Wolterink JM; van Hamersvelt RW; Viergever MA; Leiner T; Išgum I
Med Image Anal; 2019 Jan; 51():46-60. PubMed ID: 30388501
[TBL] [Abstract][Full Text] [Related]
2. Automatic centerline extraction of coronary arteries in coronary computed tomographic angiography.
Yang G; Kitslaar P; Frenay M; Broersen A; Boogers MJ; Bax JJ; Reiber JH; Dijkstra J
Int J Cardiovasc Imaging; 2012 Apr; 28(4):921-33. PubMed ID: 21637981
[TBL] [Abstract][Full Text] [Related]
3. Continuous extraction of coronary artery centerline from cardiac CTA images using a regression-based method.
Wu X; Geng Y; Wang X; Zhang J; Xia L
Math Biosci Eng; 2023 Jan; 20(3):4988-5003. PubMed ID: 36896532
[TBL] [Abstract][Full Text] [Related]
4. Improved Centerline Extraction in Fully Automated Coronary Ostium Localization and Centerline Extraction Framework using Deep Learning.
Mostafa A; Ghanem AM; El-Shatoury M; Basha T
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3846-3849. PubMed ID: 34892073
[TBL] [Abstract][Full Text] [Related]
5. COACT: Coronary artery centerline tracker.
Li X; Ji L; Zhang R; You H; Xu L; Greenwald SE; Sun Y; Zhang L; Yang B
Med Phys; 2024 May; 51(5):3541-3554. PubMed ID: 38060686
[TBL] [Abstract][Full Text] [Related]
6. Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks.
Wolterink JM; Leiner T; de Vos BD; van Hamersvelt RW; Viergever MA; Išgum I
Med Image Anal; 2016 Dec; 34():123-136. PubMed ID: 27138584
[TBL] [Abstract][Full Text] [Related]
7. A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography.
Zreik M; van Hamersvelt RW; Wolterink JM; Leiner T; Viergever MA; Isgum I
IEEE Trans Med Imaging; 2019 Jul; 38(7):1588-1598. PubMed ID: 30507498
[TBL] [Abstract][Full Text] [Related]
8. Coronary artery analysis: Computer-assisted selection of best-quality segments in multiple-phase coronary CT angiography.
Zhou C; Chan HP; Hadjiiski LM; Chughtai A; Wei J; Kazerooni EA
Med Phys; 2016 Oct; 43(10):5268. PubMed ID: 27782685
[TBL] [Abstract][Full Text] [Related]
9. Coronary centerline extraction from CT coronary angiography images using a minimum cost path approach.
Metz CT; Schaap M; Weustink AC; Mollet NR; van Walsum T; Niessen WJ
Med Phys; 2009 Dec; 36(12):5568-79. PubMed ID: 20095269
[TBL] [Abstract][Full Text] [Related]
10. Improving CCTA-based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation.
Freiman M; Nickisch H; Prevrhal S; Schmitt H; Vembar M; Maurovich-Horvat P; Donnelly P; Goshen L
Med Phys; 2017 Mar; 44(3):1040-1049. PubMed ID: 28112409
[TBL] [Abstract][Full Text] [Related]
11. Graph neural networks for automatic extraction and labeling of the coronary artery tree in CT angiography.
Hampe N; van Velzen SGM; Wolterink JM; Collet C; Henriques JPS; Planken N; Išgum I
J Med Imaging (Bellingham); 2024 May; 11(3):034001. PubMed ID: 38756439
[TBL] [Abstract][Full Text] [Related]
12. Deep learning from dual-energy information for whole-heart segmentation in dual-energy and single-energy non-contrast-enhanced cardiac CT.
Bruns S; Wolterink JM; Takx RAP; van Hamersvelt RW; Suchá D; Viergever MA; Leiner T; Išgum I
Med Phys; 2020 Oct; 47(10):5048-5060. PubMed ID: 32786071
[TBL] [Abstract][Full Text] [Related]
13. Automatic identification of coronary tree anatomy in coronary computed tomography angiography.
Cao Q; Broersen A; de Graaf MA; Kitslaar PH; Yang G; Scholte AJ; Lelieveldt BPF; Reiber JHC; Dijkstra J
Int J Cardiovasc Imaging; 2017 Nov; 33(11):1809-1819. PubMed ID: 28647774
[TBL] [Abstract][Full Text] [Related]
14. LIVE-Net: Comprehensive 3D vessel extraction framework in CT angiography.
Sun Q; Yang J; Zhao S; Chen C; Hou Y; Yuan Y; Ma S; Huang Y
Comput Biol Med; 2023 Jun; 159():106886. PubMed ID: 37062255
[TBL] [Abstract][Full Text] [Related]
15. Robust and accurate coronary artery centerline extraction in CTA by combining model-driven and data-driven approaches.
Zheng Y; Tek H; Funka-Lea G
Med Image Comput Comput Assist Interv; 2013; 16(Pt 3):74-81. PubMed ID: 24505746
[TBL] [Abstract][Full Text] [Related]
16. Model-guided directional minimal path for fully automatic extraction of coronary centerlines from cardiac CTA.
Liu L; Shi W; Rueckert D; Hu M; Ourselin S; Zhuang X
Med Image Comput Comput Assist Interv; 2013; 16(Pt 1):542-9. PubMed ID: 24505709
[TBL] [Abstract][Full Text] [Related]
17. A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA.
Han D; Doan NT; Shim H; Jeon B; Lee H; Hong Y; Chang HJ
Comput Methods Programs Biomed; 2014 Nov; 117(2):179-88. PubMed ID: 25106730
[TBL] [Abstract][Full Text] [Related]
18. Fast and robust computation of colon centerline in CT colonography.
Frimmel H; Nappi J; Yoshida H
Med Phys; 2004 Nov; 31(11):3046-56. PubMed ID: 15587658
[TBL] [Abstract][Full Text] [Related]
19. An improved algorithm for femoropopliteal artery centerline restoration using prior knowledge of shapes and image space data.
Rakshe T; Fleischmann D; Rosenberg J; Roos JE; Straka M; Napel S
Med Phys; 2008 Jul; 35(7):3372-82. PubMed ID: 18697561
[TBL] [Abstract][Full Text] [Related]
20. Directional fast-marching and multi-model strategy to extract coronary artery centerlines.
Jia D; Zhuang X
Comput Biol Med; 2019 May; 108():67-77. PubMed ID: 31003181
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
