740 related articles for article (PubMed ID: 33905558)
1. Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation.
Jiang J; Riyahi Alam S; Chen I; Zhang P; Rimner A; Deasy JO; Veeraraghavan H
Med Phys; 2021 Jul; 48(7):3702-3713. PubMed ID: 33905558
[TBL] [Abstract][Full Text] [Related]
2. Unpaired Cross-Modality Educed Distillation (CMEDL) for Medical Image Segmentation.
Jiang J; Rimner A; Deasy JO; Veeraraghavan H
IEEE Trans Med Imaging; 2022 May; 41(5):1057-1068. PubMed ID: 34855590
[TBL] [Abstract][Full Text] [Related]
3. Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation.
Jue J; Jason H; Neelam T; Andreas R; Sean BL; Joseph DO; Harini V
Med Image Comput Comput Assist Interv; 2019 Oct; 11769():221-229. PubMed ID: 32420549
[TBL] [Abstract][Full Text] [Related]
4. Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets.
Jiang J; Hu YC; Tyagi N; Zhang P; Rimner A; Deasy JO; Veeraraghavan H
Med Phys; 2019 Oct; 46(10):4392-4404. PubMed ID: 31274206
[TBL] [Abstract][Full Text] [Related]
5. Self-derived organ attention for unpaired CT-MRI deep domain adaptation based MRI segmentation.
Jiang J; Hu YC; Tyagi N; Wang C; Lee N; Deasy JO; Sean B; Veeraraghavan H
Phys Med Biol; 2020 Oct; 65(20):205001. PubMed ID: 33027063
[TBL] [Abstract][Full Text] [Related]
6. Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT.
Jiang J; Hong J; Tringale K; Reyngold M; Crane C; Tyagi N; Veeraraghavan H
Med Phys; 2023 Aug; 50(8):4758-4774. PubMed ID: 37265185
[TBL] [Abstract][Full Text] [Related]
7. Pelvic multi-organ segmentation on cone-beam CT for prostate adaptive radiotherapy.
Fu Y; Lei Y; Wang T; Tian S; Patel P; Jani AB; Curran WJ; Liu T; Yang X
Med Phys; 2020 Aug; 47(8):3415-3422. PubMed ID: 32323330
[TBL] [Abstract][Full Text] [Related]
8. Lung tumor segmentation in 4D CT images using motion convolutional neural networks.
Momin S; Lei Y; Tian Z; Wang T; Roper J; Kesarwala AH; Higgins K; Bradley JD; Liu T; Yang X
Med Phys; 2021 Nov; 48(11):7141-7153. PubMed ID: 34469001
[TBL] [Abstract][Full Text] [Related]
9. Comparing different CT, PET and MRI multi-modality image combinations for deep learning-based head and neck tumor segmentation.
Ren J; Eriksen JG; Nijkamp J; Korreman SS
Acta Oncol; 2021 Nov; 60(11):1399-1406. PubMed ID: 34264157
[TBL] [Abstract][Full Text] [Related]
10. Synthetic CT-aided multiorgan segmentation for CBCT-guided adaptive pancreatic radiotherapy.
Dai X; Lei Y; Wynne J; Janopaul-Naylor J; Wang T; Roper J; Curran WJ; Liu T; Patel P; Yang X
Med Phys; 2021 Nov; 48(11):7063-7073. PubMed ID: 34609745
[TBL] [Abstract][Full Text] [Related]
11. Combining physics-based models with deep learning image synthesis and uncertainty in intraoperative cone-beam CT of the brain.
Zhang X; Sisniega A; Zbijewski WB; Lee J; Jones CK; Wu P; Han R; Uneri A; Vagdargi P; Helm PA; Luciano M; Anderson WS; Siewerdsen JH
Med Phys; 2023 May; 50(5):2607-2624. PubMed ID: 36906915
[TBL] [Abstract][Full Text] [Related]
12. Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images.
Wang Y; Lombardo E; Huang L; Avanzo M; Fanetti G; Franchin G; Zschaeck S; Weingärtner J; Belka C; Riboldi M; Kurz C; Landry G
Radiat Oncol; 2024 Jan; 19(1):3. PubMed ID: 38191431
[TBL] [Abstract][Full Text] [Related]
13. 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; 48(4):1673-1684. PubMed ID: 33251619
[TBL] [Abstract][Full Text] [Related]
14. Deformable MR-CBCT prostate registration using biomechanically constrained deep learning networks.
Fu Y; Wang T; Lei Y; Patel P; Jani AB; Curran WJ; Liu T; Yang X
Med Phys; 2021 Jan; 48(1):253-263. PubMed ID: 33164219
[TBL] [Abstract][Full Text] [Related]
15. Deep learning based direct segmentation assisted by deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy.
Liang X; Morgan H; Bai T; Dohopolski M; Nguyen D; Jiang S
Phys Med Biol; 2023 Feb; 68(4):. PubMed ID: 36657169
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs.
Jiang J; Veeraraghavan H
IEEE Trans Med Imaging; 2022 Feb; PP():. PubMed ID: 35213307
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Head-and-neck organs-at-risk auto-delineation using dual pyramid networks for CBCT-guided adaptive radiotherapy.
Dai X; Lei Y; Wang T; Dhabaan AH; McDonald M; Beitler JJ; Curran WJ; Zhou J; Liu T; Yang X
Phys Med Biol; 2021 Feb; 66(4):045021. PubMed ID: 33412527
[TBL] [Abstract][Full Text] [Related]
20. IAS-NET: Joint intraclassly adaptive GAN and segmentation network for unsupervised cross-domain in neonatal brain MRI segmentation.
Li B; You X; Wang J; Peng Q; Yin S; Qi R; Ren Q; Hong Z
Med Phys; 2021 Nov; 48(11):6962-6975. PubMed ID: 34494276
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
