1857 related articles for article (PubMed ID: 32786071)
21. Convolutional neural network-based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images.
Zabihollahy F; White JA; Ukwatta E
Med Phys; 2019 Apr; 46(4):1740-1751. PubMed ID: 30734937
[TBL] [Abstract][Full Text] [Related]
22. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
[TBL] [Abstract][Full Text] [Related]
23. Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases.
Lindgren Belal S; Sadik M; Kaboteh R; Enqvist O; Ulén J; Poulsen MH; Simonsen J; Høilund-Carlsen PF; Edenbrandt L; Trägårdh E
Eur J Radiol; 2019 Apr; 113():89-95. PubMed ID: 30927965
[TBL] [Abstract][Full Text] [Related]
24. Deep learning-based left ventricular segmentation demonstrates improved performance on respiratory motion-resolved whole-heart reconstructions.
Yang Y; Shah Z; Jacob AJ; Hair J; Chitiboi T; Passerini T; Yerly J; Di Sopra L; Piccini D; Hosseini Z; Sharma P; Sahu A; Stuber M; Oshinski JN
Front Radiol; 2023; 3():1144004. PubMed ID: 37492382
[TBL] [Abstract][Full Text] [Related]
25. Deep learning-based segmentation in prostate radiation therapy using Monte Carlo simulated cone-beam computed tomography.
Abbani N; Baudier T; Rit S; Franco FD; Okoli F; Jaouen V; Tilquin F; Barateau A; Simon A; de Crevoisier R; Bert J; Sarrut D
Med Phys; 2022 Nov; 49(11):6930-6944. PubMed ID: 36000762
[TBL] [Abstract][Full Text] [Related]
26. Deep Learning-based Method for Fully Automatic Quantification of Left Ventricle Function from Cine MR Images: A Multivendor, Multicenter Study.
Tao Q; Yan W; Wang Y; Paiman EHM; Shamonin DP; Garg P; Plein S; Huang L; Xia L; Sramko M; Tintera J; de Roos A; Lamb HJ; van der Geest RJ
Radiology; 2019 Jan; 290(1):81-88. PubMed ID: 30299231
[TBL] [Abstract][Full Text] [Related]
27. Learning coronary artery calcium scoring in coronary CTA from non-contrast CT using unsupervised domain adaptation.
Zhai Z; van Velzen SGM; Lessmann N; Planken N; Leiner T; Išgum I
Front Cardiovasc Med; 2022; 9():981901. PubMed ID: 36172575
[TBL] [Abstract][Full Text] [Related]
28. Deep learning-aided extraction of outer aortic surface from CT angiography scans of patients with Stanford type B aortic dissection.
Kesävuori R; Kaseva T; Salli E; Raivio P; Savolainen S; Kangasniemi M
Eur Radiol Exp; 2023 Jun; 7(1):35. PubMed ID: 37380806
[TBL] [Abstract][Full Text] [Related]
29. Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning.
Groendahl AR; Huynh BN; Tomic O; Søvik Å; Dale E; Malinen E; Skogmo HK; Futsaether CM
Front Vet Sci; 2023; 10():1143986. PubMed ID: 37026102
[TBL] [Abstract][Full Text] [Related]
30. Low-cost 3D-printed anthropomorphic cardiac phantom, for computed tomography automatic left ventricle segmentation and volumetry - A pilot study.
Kusk MW; Stowe J; Hess S; Gerke O; Foley S
Radiography (Lond); 2023 Jan; 29(1):131-138. PubMed ID: 36368249
[TBL] [Abstract][Full Text] [Related]
31. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
32. Fully automatic cardiac four chamber and great vessel segmentation on CT pulmonary angiography using deep learning.
Sharkey MJ; Taylor JC; Alabed S; Dwivedi K; Karunasaagarar K; Johns CS; Rajaram S; Garg P; Alkhanfar D; Metherall P; O'Regan DP; van der Geest RJ; Condliffe R; Kiely DG; Mamalakis M; Swift AJ
Front Cardiovasc Med; 2022; 9():983859. PubMed ID: 36225963
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Cascaded deep learning-based auto-segmentation for head and neck cancer patients: Organs at risk on T2-weighted magnetic resonance imaging.
Korte JC; Hardcastle N; Ng SP; Clark B; Kron T; Jackson P
Med Phys; 2021 Dec; 48(12):7757-7772. PubMed ID: 34676555
[TBL] [Abstract][Full Text] [Related]
35. Automatic Time-Resolved Cardiovascular Segmentation of 4D Flow MRI Using Deep Learning.
Bustamante M; Viola F; Engvall J; Carlhäll CJ; Ebbers T
J Magn Reson Imaging; 2023 Jan; 57(1):191-203. PubMed ID: 35506525
[TBL] [Abstract][Full Text] [Related]
36. Deep learning enables automatic quantitative assessment of puborectalis muscle and urogenital hiatus in plane of minimal hiatal dimensions.
van den Noort F; van der Vaart CH; Grob ATM; van de Waarsenburg MK; Slump CH; van Stralen M
Ultrasound Obstet Gynecol; 2019 Aug; 54(2):270-275. PubMed ID: 30461079
[TBL] [Abstract][Full Text] [Related]
37. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
38. Quantitative attenuation accuracy of virtual non-enhanced imaging compared to that of true non-enhanced imaging on dual-source dual-energy CT.
Javadi S; Elsherif S; Bhosale P; Jensen CT; Layman RR; Jacobsen MC; Le O; Jia S; Parikh RJ; Tamm EP
Abdom Radiol (NY); 2020 Apr; 45(4):1100-1109. PubMed ID: 32052130
[TBL] [Abstract][Full Text] [Related]
39. 3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks.
Fantazzini A; Esposito M; Finotello A; Auricchio F; Pane B; Basso C; Spinella G; Conti M
Cardiovasc Eng Technol; 2020 Oct; 11(5):576-586. PubMed ID: 32783134
[TBL] [Abstract][Full Text] [Related]
40. An iterative multi-path fully convolutional neural network for automatic cardiac segmentation in cine MR images.
Ma Z; Wu X; Wang X; Song Q; Yin Y; Cao K; Wang Y; Zhou J
Med Phys; 2019 Dec; 46(12):5652-5665. PubMed ID: 31605627
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]