59 related articles for article (PubMed ID: 36781953)
1. Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction Using Mesh Priors.
Herten VRLM; Hampe N; Takx RAP; Franssen KJ; Wang Y; Sucha D; Henriques JP; Leiner T; Planken RN; Isgum I
IEEE Trans Med Imaging; 2024 Apr; 43(4):1272-1283. PubMed ID: 37862273
[TBL] [Abstract][Full Text] [Related]
2. Diagnostic performance of 3.0 T unenhanced Dixon water-fat separation coronary MR angiography in patients with low-to-intermediate risk of coronary artery disease.
Sun Y; Tian D; Lu H; Zhao S; Chen Y; Ge M; Zeng M; Jin H
Magn Reson Imaging; 2024 Apr; 107():8-14. PubMed ID: 38159873
[TBL] [Abstract][Full Text] [Related]
3. Deep Learning-Based Automated Labeling of Coronary Segments for Structured Reporting of Coronary Computed Tomography Angiography in Accordance With Society of Cardiovascular Computed Tomography Guidelines.
Brandt V; Fischer A; Schoepf UJ; Bekeredjian R; Tesche C; Aquino GJ; O'Doherty J; Sharma P; Gülsün MA; Klein P; Ali A; Few WE; Emrich T; Varga-Szemes A; Decker JA
J Thorac Imaging; 2024 Mar; 39(2):93-100. PubMed ID: 37889562
[TBL] [Abstract][Full Text] [Related]
4. A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images.
Ren P; He Y; Guo N; Luo N; Li F; Wang Z; Yang Z
BMC Med Inform Decis Mak; 2023 Nov; 23(1):249. PubMed ID: 37932709
[TBL] [Abstract][Full Text] [Related]
5. The value of Coronary Artery Disease - Reporting and Data System (CAD-RADS) in Outcome Prediction of CAD Patients; a Systematic Review and Meta-analysis.
Ahmadzadeh K; Roshdi Dizaji S; Kiah M; Rashid M; Miri R; Yousefifard M
Arch Acad Emerg Med; 2023; 11(1):e45. PubMed ID: 37609531
[TBL] [Abstract][Full Text] [Related]
6. Machine learning approaches that use clinical, laboratory, and electrocardiogram data enhance the prediction of obstructive coronary artery disease.
Lee HG; Park SD; Bae JW; Moon S; Jung CY; Kim MS; Kim TH; Lee WK
Sci Rep; 2023 Aug; 13(1):12635. PubMed ID: 37537293
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images.
Dawood T; Chen C; Sidhu BS; Ruijsink B; Gould J; Porter B; Elliott MK; Mehta V; Rinaldi CA; Puyol-Antón E; Razavi R; King AP
Med Image Anal; 2023 Aug; 88():102861. PubMed ID: 37327613
[TBL] [Abstract][Full Text] [Related]
9. Automated Diagnosis of Coronary Artery Disease: A Review and Workflow.
Mastoi QU; Wah TY; Gopal Raj R; Iqbal U
Cardiol Res Pract; 2018; 2018():2016282. PubMed ID: 29507812
[TBL] [Abstract][Full Text] [Related]
10. Denoising Multiphase Functional Cardiac CT Angiography Using Deep Learning and Synthetic Data.
Sandfort V; Willemink MJ; Codari M; Mastrodicasa D; Fleischmann D
Radiol Artif Intell; 2024 Mar; 6(2):e230153. PubMed ID: 38416035
[TBL] [Abstract][Full Text] [Related]
11. Developing a Deep-Learning-Based Coronary Artery Disease Detection Technique Using Computer Tomography Images.
Wahab Sait AR; Dutta AK
Diagnostics (Basel); 2023 Mar; 13(7):. PubMed ID: 37046530
[TBL] [Abstract][Full Text] [Related]
12. CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: A clinically-inspired deep learning pipeline.
Gerbasi A; Dagliati A; Albi G; Chiesa M; Andreini D; Baggiano A; Mushtaq S; Pontone G; Bellazzi R; Colombo G
Comput Methods Programs Biomed; 2024 Feb; 244():107989. PubMed ID: 38141455
[TBL] [Abstract][Full Text] [Related]
13. Performance of a deep learning algorithm for the evaluation of CAD-RADS classification with CCTA.
Muscogiuri G; Chiesa M; Trotta M; Gatti M; Palmisano V; Dell'Aversana S; Baessato F; Cavaliere A; Cicala G; Loffreno A; Rizzon G; Guglielmo M; Baggiano A; Fusini L; Saba L; Andreini D; Pepi M; Rabbat MG; Guaricci AI; De Cecco CN; Colombo G; Pontone G
Atherosclerosis; 2020 Feb; 294():25-32. PubMed ID: 31945615
[TBL] [Abstract][Full Text] [Related]
14. Automatic coronary artery segmentation and diagnosis of stenosis by deep learning based on computed tomographic coronary angiography.
Li Y; Wu Y; He J; Jiang W; Wang J; Peng Y; Jia Y; Xiong T; Jia K; Yi Z; Chen M
Eur Radiol; 2022 Sep; 32(9):6037-6045. PubMed ID: 35394183
[TBL] [Abstract][Full Text] [Related]
15. CAD-RADS - a new clinical decision support tool for coronary computed tomography angiography.
Foldyna B; Szilveszter B; Scholtz JE; Banerji D; Maurovich-Horvat P; Hoffmann U
Eur Radiol; 2018 Apr; 28(4):1365-1372. PubMed ID: 29116390
[TBL] [Abstract][Full Text] [Related]
16. Coronary Artery Disease - Reporting and Data System (CAD-RADS): An Expert Consensus Document of SCCT, ACR and NASCI: Endorsed by the ACC.
Cury RC; Abbara S; Achenbach S; Agatston A; Berman DS; Budoff MJ; Dill KE; Jacobs JE; Maroules CD; Rubin GD; Rybicki FJ; Schoepf UJ; Shaw LJ; Stillman AE; White CS; Woodard PK; Leipsic JA
JACC Cardiovasc Imaging; 2016 Sep; 9(9):1099-1113. PubMed ID: 27609151
[TBL] [Abstract][Full Text] [Related]
17. 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]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]