189 related articles for article (PubMed ID: 34170365)
1. Automated segmentation and quantification of the healthy and diseased aorta in CT angiographies using a dedicated deep learning approach.
Sieren MM; Widmann C; Weiss N; Moltz JH; Link F; Wegner F; Stahlberg E; Horn M; Oecherting TH; Goltz JP; Barkhausen J; Frydrychowicz A
Eur Radiol; 2022 Jan; 32(1):690-701. PubMed ID: 34170365
[TBL] [Abstract][Full Text] [Related]
2. Automated multiclass segmentation, quantification, and visualization of the diseased aorta on hybrid PET/CT-SEQUOIA.
van Praagh GD; Nienhuis PH; Reijrink M; Davidse MEJ; Duff LM; Spottiswoode BS; Mulder DJ; Prakken NHJ; Scarsbrook AF; Morgan AW; Tsoumpas C; Wolterink JM; Mouridsen KB; Borra RJH; Sinha B; Slart RHJA
Med Phys; 2024 Jun; 51(6):4297-4310. PubMed ID: 38323867
[TBL] [Abstract][Full Text] [Related]
3. Computer-aided quantification of non-contrast 3D black blood MRI as an efficient alternative to reference standard manual CT angiography measurements of abdominal aortic aneurysms.
Wang Y; Tian B; Xiong F; Kao E; Zhang Y; Liu X; Tian X; Haraldsson H; Zhu C; Leach J; Liu J; Hope MD; Mitsouras D; Saloner D
Eur J Radiol; 2021 Jan; 134():109396. PubMed ID: 33217686
[TBL] [Abstract][Full Text] [Related]
4. Automated 3D segmentation and diameter measurement of the thoracic aorta on non-contrast enhanced CT.
Sedghi Gamechi Z; Bons LR; Giordano M; Bos D; Budde RPJ; Kofoed KF; Pedersen JH; Roos-Hesselink JW; de Bruijne M
Eur Radiol; 2019 Sep; 29(9):4613-4623. PubMed ID: 30673817
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learning.
Berhane H; Scott M; Elbaz M; Jarvis K; McCarthy P; Carr J; Malaisrie C; Avery R; Barker AJ; Robinson JD; Rigsby CK; Markl M
Magn Reson Med; 2020 Oct; 84(4):2204-2218. PubMed ID: 32167203
[TBL] [Abstract][Full Text] [Related]
7. Fully automatic volume segmentation of infrarenal abdominal aortic aneurysm computed tomography images with deep learning approaches versus physician controlled manual segmentation.
Caradu C; Spampinato B; Vrancianu AM; Bérard X; Ducasse E
J Vasc Surg; 2021 Jul; 74(1):246-256.e6. PubMed ID: 33309556
[TBL] [Abstract][Full Text] [Related]
8. Automated left ventricular myocardium segmentation using 3D deeply supervised attention U-net for coronary computed tomography angiography; CT myocardium segmentation.
Jun Guo B; He X; Lei Y; Harms J; Wang T; Curran WJ; Liu T; Jiang Zhang L; Yang X
Med Phys; 2020 Apr; 47(4):1775-1785. PubMed ID: 32017118
[TBL] [Abstract][Full Text] [Related]
9. Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography.
Verhelst PJ; Smolders A; Beznik T; Meewis J; Vandemeulebroucke A; Shaheen E; Van Gerven A; Willems H; Politis C; Jacobs R
J Dent; 2021 Nov; 114():103786. PubMed ID: 34425172
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Fully automatic segmentation of type B aortic dissection from CTA images enabled by deep learning.
Cao L; Shi R; Ge Y; Xing L; Zuo P; Jia Y; Liu J; He Y; Wang X; Luan S; Chai X; Guo W
Eur J Radiol; 2019 Dec; 121():108713. PubMed ID: 31683252
[TBL] [Abstract][Full Text] [Related]
12. Deep Learning-Based Analysis of Aortic Morphology From Three-Dimensional MRI.
Guo J; Bouaou K; Houriez-Gombaud-Saintonge S; Gueda M; Gencer U; Nguyen V; Charpentier E; Soulat G; Redheuil A; Mousseaux E; Kachenoura N; Dietenbeck T
J Magn Reson Imaging; 2024 Jan; ():. PubMed ID: 38216546
[TBL] [Abstract][Full Text] [Related]
13. Automated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning.
Koo HJ; Lee JG; Ko JY; Lee G; Kang JW; Kim YH; Yang DH
Korean J Radiol; 2020 Jun; 21(6):660-669. PubMed ID: 32410405
[TBL] [Abstract][Full Text] [Related]
14. Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images.
Heutink F; Koch V; Verbist B; van der Woude WJ; Mylanus E; Huinck W; Sechopoulos I; Caballo M
Comput Methods Programs Biomed; 2020 Jul; 191():105387. PubMed ID: 32109685
[TBL] [Abstract][Full Text] [Related]
15. Deep learning-based automated segmentation of resection cavities on postsurgical epilepsy MRI.
Arnold TC; Muthukrishnan R; Pattnaik AR; Sinha N; Gibson A; Gonzalez H; Das SR; Litt B; Englot DJ; Morgan VL; Davis KA; Stein JM
Neuroimage Clin; 2022; 36():103154. PubMed ID: 35988342
[TBL] [Abstract][Full Text] [Related]
16. Deep Learning to Automatically Segment and Analyze Abdominal Aortic Aneurysm from Computed Tomography Angiography.
Brutti F; Fantazzini A; Finotello A; Müller LO; Auricchio F; Pane B; Spinella G; Conti M
Cardiovasc Eng Technol; 2022 Aug; 13(4):535-547. PubMed ID: 34997555
[TBL] [Abstract][Full Text] [Related]
17. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Automatic quantification of myocardium and pericardial fat from coronary computed tomography angiography: a multicenter study.
He X; Guo BJ; Lei Y; Wang T; Curran WJ; Liu T; Zhang LJ; Yang X
Eur Radiol; 2021 Jun; 31(6):3826-3836. PubMed ID: 33206226
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]