These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
187 related articles for article (PubMed ID: 35872383)
1. CDFRegNet: A cross-domain fusion registration network for CT-to-CBCT image registration. Cao Y; Fu T; Duan L; Dai Y; Gong L; Cao W; Liu D; Yang X; Ni X; Zheng J Comput Methods Programs Biomed; 2022 Sep; 224():107025. PubMed ID: 35872383 [TBL] [Abstract][Full Text] [Related]
2. BCSwinReg: A cross-modal attention network for CBCT-to-CT multimodal image registration. Zhang J; Qing C; Li Y; Wang Y Comput Biol Med; 2024 Mar; 171():107990. PubMed ID: 38377717 [TBL] [Abstract][Full Text] [Related]
3. CT-CBCT deformable registration using weakly-supervised artifact-suppression transfer learning network. Tian D; Sun G; Zheng H; Yu S; Jiang J Phys Med Biol; 2023 Aug; 68(16):. PubMed ID: 37433303 [No Abstract] [Full Text] [Related]
4. Inter-fraction deformable image registration using unsupervised deep learning for CBCT-guided abdominal radiotherapy. Xie H; Lei Y; Fu Y; Wang T; Roper J; Bradley JD; Patel P; Liu T; Yang X Phys Med Biol; 2023 Apr; 68(9):. PubMed ID: 36958049 [No Abstract] [Full Text] [Related]
5. Unsupervised learning for deformable registration of thoracic CT and cone-beam CT based on multiscale features matching with spatially adaptive weighting. Duan L; Ni X; Liu Q; Gong L; Yuan G; Li M; Yang X; Fu T; Zheng J Med Phys; 2020 Nov; 47(11):5632-5647. PubMed ID: 32949051 [TBL] [Abstract][Full Text] [Related]
6. Comparison of an in-house hybrid DIR method to NiftyReg on CBCT and CT images for head and neck cancer. Jiang C; Huang Y; Ding S; Gong X; Yuan X; Wang S; Li J; Zhang Y J Appl Clin Med Phys; 2022 Mar; 23(3):e13540. PubMed ID: 35084081 [TBL] [Abstract][Full Text] [Related]
7. Multiresolution residual deep neural network for improving pelvic CBCT image quality. Wu W; Qu J; Cai J; Yang R Med Phys; 2022 Mar; 49(3):1522-1534. PubMed ID: 35034367 [TBL] [Abstract][Full Text] [Related]
8. Non-rigid CT/CBCT to CBCT registration for online external beam radiotherapy guidance. Zachiu C; de Senneville BD; Tijssen RHN; Kotte ANTJ; Houweling AC; Kerkmeijer LGW; Lagendijk JJW; Moonen CTW; Ries M Phys Med Biol; 2017 Dec; 63(1):015027. PubMed ID: 29116054 [TBL] [Abstract][Full Text] [Related]
9. Validation of a deformable image registration technique for cone beam CT-based dose verification. Moteabbed M; Sharp GC; Wang Y; Trofimov A; Efstathiou JA; Lu HM Med Phys; 2015 Jan; 42(1):196-205. PubMed ID: 25563260 [TBL] [Abstract][Full Text] [Related]
10. Improving CBCT image quality to the CT level using RegGAN in esophageal cancer adaptive radiotherapy. Wang H; Liu X; Kong L; Huang Y; Chen H; Ma X; Duan Y; Shao Y; Feng A; Shen Z; Gu H; Kong Q; Xu Z; Zhou Y Strahlenther Onkol; 2023 May; 199(5):485-497. PubMed ID: 36688953 [TBL] [Abstract][Full Text] [Related]
11. Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy. Gao L; Xie K; Wu X; Lu Z; Li C; Sun J; Lin T; Sui J; Ni X Radiat Oncol; 2021 Oct; 16(1):202. PubMed ID: 34649572 [TBL] [Abstract][Full Text] [Related]
12. Joint synthesis and registration network for deformable MR-CBCT image registration for neurosurgical guidance. Han R; Jones CK; Lee J; Zhang X; Wu P; Vagdargi P; Uneri A; Helm PA; Luciano M; Anderson WS; Siewerdsen JH Phys Med Biol; 2022 Jun; 67(12):. PubMed ID: 35609586 [No Abstract] [Full Text] [Related]
13. Organ-aware CBCT enhancement via dual path learning for prostate cancer treatment. Chen X; Pang Y; Ahmad S; Royce T; Wang A; Lian J; Yap PT Med Phys; 2023 Nov; 50(11):6931-6942. PubMed ID: 37751497 [TBL] [Abstract][Full Text] [Related]
14. Demons deformable registration of CT and cone-beam CT using an iterative intensity matching approach. Nithiananthan S; Schafer S; Uneri A; Mirota DJ; Stayman JW; Zbijewski W; Brock KK; Daly MJ; Chan H; Irish JC; Siewerdsen JH Med Phys; 2011 Apr; 38(4):1785-98. PubMed ID: 21626913 [TBL] [Abstract][Full Text] [Related]
15. Deep-learning-based image registration and automatic segmentation of organs-at-risk in cone-beam CT scans from high-dose radiation treatment of pancreatic cancer. Han X; Hong J; Reyngold M; Crane C; Cuaron J; Hajj C; Mann J; Zinovoy M; Greer H; Yorke E; Mageras G; Niethammer M Med Phys; 2021 Jun; 48(6):3084-3095. PubMed ID: 33905539 [TBL] [Abstract][Full Text] [Related]
16. Pseudo-medical image-guided technology based on 'CBCT-only' mode in esophageal cancer radiotherapy. Sun H; Yang Z; Zhu J; Li J; Gong J; Chen L; Wang Z; Yin Y; Ren G; Cai J; Zhao L Comput Methods Programs Biomed; 2024 Mar; 245():108007. PubMed ID: 38241802 [TBL] [Abstract][Full Text] [Related]
17. 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]
18. Quantitative evaluation of a cone-beam computed tomography-planning computed tomography deformable image registration method for adaptive radiation therapy. Lawson JD; Schreibmann E; Jani AB; Fox T J Appl Clin Med Phys; 2007 Nov; 8(4):96-113. PubMed ID: 18449149 [TBL] [Abstract][Full Text] [Related]
19. Deformable registration of the inflated and deflated lung in cone-beam CT-guided thoracic surgery: initial investigation of a combined model- and image-driven approach. Uneri A; Nithiananthan S; Schafer S; Otake Y; Stayman JW; Kleinszig G; Sussman MS; Prince JL; Siewerdsen JH Med Phys; 2013 Jan; 40(1):017501. PubMed ID: 23298134 [TBL] [Abstract][Full Text] [Related]
20. Quantitative cone-beam CT imaging in radiation therapy using planning CT as a prior: first patient studies. Niu T; Al-Basheer A; Zhu L Med Phys; 2012 Apr; 39(4):1991-2000. PubMed ID: 22482620 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]