47 related articles for article (PubMed ID: 24505746)
1. 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]
2. Coronary artery segmentation using geometric moments based tracking and snake-driven refinement.
Chen K; Zhang Y; Pohl K; Syeda-Mahmood T; Song Z; Wong ST
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3133-7. PubMed ID: 21096589
[TBL] [Abstract][Full Text] [Related]
3. Computerized analysis of coronary artery disease: performance evaluation of segmentation and tracking of coronary arteries in CT angiograms.
Zhou C; Chan HP; Chughtai A; Kuriakose J; Agarwal P; Kazerooni EA; Hadjiiski LM; Patel S; Wei J
Med Phys; 2014 Aug; 41(8):081912. PubMed ID: 25086543
[TBL] [Abstract][Full Text] [Related]
4. Computerized detection of noncalcified plaques in coronary CT angiography: evaluation of topological soft gradient prescreening method and luminal analysis.
Wei J; Zhou C; Chan HP; Chughtai A; Agarwal P; Kuriakose J; Hadjiiski L; Patel S; Kazerooni E
Med Phys; 2014 Aug; 41(8):081901. PubMed ID: 25086532
[TBL] [Abstract][Full Text] [Related]
5. Development of a model of the coronary arterial tree for the 4D XCAT phantom.
Fung GS; Segars WP; Gullberg GT; Tsui BM
Phys Med Biol; 2011 Sep; 56(17):5651-63. PubMed ID: 21828911
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Improved centerline tree detection of diseased peripheral arteries with a cascading algorithm for vascular segmentation.
Lidayová K; Frimmel H; Bengtsson E; Smedby Ö
J Med Imaging (Bellingham); 2017 Apr; 4(2):024004. PubMed ID: 28466028
[TBL] [Abstract][Full Text] [Related]
8. Tubular surface segmentation for extracting anatomical structures from medical imagery.
Mohan V; Sundaramoorthi G; Tannenbaum A
IEEE Trans Med Imaging; 2010 Dec; 29(12):1945-58. PubMed ID: 21118754
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Automated Coronary Artery Tracking with a Voronoi-Based 3D Centerline Extraction Algorithm.
Dalvit Carvalho da Silva R; Soltanzadeh R; Figley CR
J Imaging; 2023 Dec; 9(12):. PubMed ID: 38132686
[TBL] [Abstract][Full Text] [Related]
11. Relationships between the coronary fat attenuation index for patients with heart-related disease measured automatically on coronary computed tomography angiography and coronary adverse events and degree of coronary stenosis.
Zhang WZ; Li PL; Gao Y; Chen XY; He LY; Zhang Q; Yu JQ
Quant Imaging Med Surg; 2023 Dec; 13(12):8218-8229. PubMed ID: 38106238
[TBL] [Abstract][Full Text] [Related]
12. The Association of Coronary Fat Attenuation Index Quantified by Automated Software on Coronary Computed Tomography Angiography with Adverse Events in Patients with Less than Moderate Coronary Artery Stenosis.
Zhang W; Li P; Chen X; He L; Zhang Q; Yu J
Diagnostics (Basel); 2023 Jun; 13(13):. PubMed ID: 37443530
[TBL] [Abstract][Full Text] [Related]
13. How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography.
Denzinger F; Wels M; Breininger K; Taubmann O; Mühlberg A; Allmendinger T; Gülsün MA; Schöbinger M; André F; Buss SJ; Görich J; Sühling M; Maier A
Sci Rep; 2023 Feb; 13(1):2563. PubMed ID: 36781953
[TBL] [Abstract][Full Text] [Related]
14. Voxel-Wise Adversarial FiboNet for 3D Cerebrovascular Segmentation on Magnetic Resonance Angiography Images.
Guo B; Zhou F; Liu B; Bai X
Front Neurosci; 2021; 15():756536. PubMed ID: 34899162
[TBL] [Abstract][Full Text] [Related]
15. A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence.
Demirer M; Candemir S; Bigelow MT; Yu SM; Gupta V; Prevedello LM; White RD; Yu JS; Grimmer R; Wels M; Wimmer A; Halabi AH; Ihsani A; O'Donnell TP; Erdal BS
Radiol Artif Intell; 2019 Nov; 1(6):e180095. PubMed ID: 33937804
[TBL] [Abstract][Full Text] [Related]
16. Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use.
White RD; Erdal BS; Demirer M; Gupta V; Bigelow MT; Dikici E; Candemir S; Galizia MS; Carpenter JL; O'Donnell TP; Halabi AH; Prevedello LM
J Digit Imaging; 2021 Jun; 34(3):554-571. PubMed ID: 33791909
[TBL] [Abstract][Full Text] [Related]
17. Automated Artery Localization and Vessel Wall Segmentation using Tracklet Refinement and Polar Conversion.
Chen L; Sun J; Canton G; Balu N; Hippe DS; Zhao X; Li R; Hatsukami TS; Hwang JN; Yuan C
IEEE Access; 2020; 8():217603-217614. PubMed ID: 33777593
[TBL] [Abstract][Full Text] [Related]
18. Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning.
Gupta V; Demirer M; Bigelow M; Little KJ; Candemir S; Prevedello LM; White RD; O'Donnell TP; Wels M; Erdal BS
J Digit Imaging; 2020 Apr; 33(2):431-438. PubMed ID: 31625028
[TBL] [Abstract][Full Text] [Related]
19. A model-guided method for improving coronary artery tree extractions from CCTA images.
Cao Q; Broersen A; Kitslaar PH; Lelieveldt BPF; Dijkstra J
Int J Comput Assist Radiol Surg; 2019 Feb; 14(2):373-383. PubMed ID: 30488262
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
