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Journal Abstract Search
2247 related items for PubMed ID: 32653985
1. Fast interactive medical image segmentation with weakly supervised deep learning method. Girum KB, Créhange G, Hussain R, Lalande A. Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1437-1444. PubMed ID: 32653985 [Abstract] [Full Text] [Related]
2. A deep learning method for real-time intraoperative US image segmentation in prostate brachytherapy. Girum KB, Lalande A, Hussain R, Créhange G. Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1467-1476. PubMed ID: 32691302 [Abstract] [Full Text] [Related]
3. 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 [Abstract] [Full Text] [Related]
4. Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images. Karimi D, Zeng Q, Mathur P, Avinash A, Mahdavi S, Spadinger I, Abolmaesumi P, Salcudean SE. Med Image Anal; 2019 Oct; 57():186-196. PubMed ID: 31325722 [Abstract] [Full Text] [Related]
5. Deep learning-based ultrasound auto-segmentation of the prostate with brachytherapy implanted needles. Hampole P, Harding T, Gillies D, Orlando N, Edirisinghe C, Mendez LC, D'Souza D, Velker V, Correa R, Helou J, Xing S, Fenster A, Hoover DA. Med Phys; 2024 Apr; 51(4):2665-2677. PubMed ID: 37888789 [Abstract] [Full Text] [Related]
6. Prostate CT segmentation method based on nonrigid registration in ultrasound-guided CT-based HDR prostate brachytherapy. Yang X, Rossi P, Ogunleye T, Marcus DM, Jani AB, Mao H, Curran WJ, Liu T. Med Phys; 2014 Nov; 41(11):111915. PubMed ID: 25370648 [Abstract] [Full Text] [Related]
7. Ultrasound prostate segmentation based on multidirectional deeply supervised V-Net. Lei Y, Tian S, He X, Wang T, Wang B, Patel P, Jani AB, Mao H, Curran WJ, Liu T, Yang X. Med Phys; 2019 Jul; 46(7):3194-3206. PubMed ID: 31074513 [Abstract] [Full Text] [Related]
8. Label-driven magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) registration using weakly supervised learning for MRI-guided prostate radiotherapy. Zeng Q, Fu Y, Tian Z, Lei Y, Zhang Y, Wang T, Mao H, Liu T, Curran WJ, Jani AB, Patel P, Yang X. Phys Med Biol; 2020 Jun 26; 65(13):135002. PubMed ID: 32330922 [Abstract] [Full Text] [Related]
9. MR to ultrasound image registration with segmentation-based learning for HDR prostate brachytherapy. Chen Y, Xing L, Yu L, Liu W, Pooya Fahimian B, Niedermayr T, Bagshaw HP, Buyyounouski M, Han B. Med Phys; 2021 Jun 26; 48(6):3074-3083. PubMed ID: 33905566 [Abstract] [Full Text] [Related]
10. Efficient contour-based annotation by iterative deep learning for organ segmentation from volumetric medical images. Zhuang M, Chen Z, Wang H, Tang H, He J, Qin B, Yang Y, Jin X, Yu M, Jin B, Li T, Kettunen L. Int J Comput Assist Radiol Surg; 2023 Feb 26; 18(2):379-394. PubMed ID: 36048319 [Abstract] [Full Text] [Related]
11. Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer Brachytherapy. Sanders JW, Lewis GD, Thames HD, Kudchadker RJ, Venkatesan AM, Bruno TL, Ma J, Pagel MD, Frank SJ. Int J Radiat Oncol Biol Phys; 2020 Dec 01; 108(5):1292-1303. PubMed ID: 32634543 [Abstract] [Full Text] [Related]
12. Medical image diagnosis of prostate tumor based on PSP-Net+VGG16 deep learning network. Ye LY, Miao XY, Cai WS, Xu WJ. Comput Methods Programs Biomed; 2022 Jun 01; 221():106770. PubMed ID: 35640389 [Abstract] [Full Text] [Related]
13. Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation. Wang B, Lei Y, Tian S, Wang T, Liu Y, Patel P, Jani AB, Mao H, Curran WJ, Liu T, Yang X. Med Phys; 2019 Apr 01; 46(4):1707-1718. PubMed ID: 30702759 [Abstract] [Full Text] [Related]
15. Cross-modality deep learning: Contouring of MRI data from annotated CT data only. Kieselmann JP, Fuller CD, Gurney-Champion OJ, Oelfke U. Med Phys; 2021 Apr 01; 48(4):1673-1684. PubMed ID: 33251619 [Abstract] [Full Text] [Related]
16. Robust contour propagation using deep learning and image registration for online adaptive proton therapy of prostate cancer. Elmahdy MS, Jagt T, Zinkstok RT, Qiao Y, Shahzad R, Sokooti H, Yousefi S, Incrocci L, Marijnen CAM, Hoogeman M, Staring M. Med Phys; 2019 Aug 01; 46(8):3329-3343. PubMed ID: 31111962 [Abstract] [Full Text] [Related]
17. PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes. Balagopal A, Morgan H, Dohopolski M, Timmerman R, Shan J, Heitjan DF, Liu W, Nguyen D, Hannan R, Garant A, Desai N, Jiang S. Artif Intell Med; 2021 Nov 01; 121():102195. PubMed ID: 34763810 [Abstract] [Full Text] [Related]
19. A semiautomatic segmentation method for prostate in CT images using local texture classification and statistical shape modeling. Shahedi M, Halicek M, Guo R, Zhang G, Schuster DM, Fei B. Med Phys; 2018 Jun 01; 45(6):2527-2541. PubMed ID: 29611216 [Abstract] [Full Text] [Related]
20. Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation. Zhu Q, Du B, Yan P. IEEE Trans Med Imaging; 2020 Mar 01; 39(3):753-763. PubMed ID: 31425022 [Abstract] [Full Text] [Related] Page: [Next] [New Search]