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.
154 related articles for article (PubMed ID: 34964986)
1. Improving predictive CTV segmentation on CT and CBCT for cervical cancer by diffeomorphic registration of a prior. Beekman C; van Beek S; Stam J; Sonke JJ; Remeijer P Med Phys; 2022 Mar; 49(3):1701-1711. PubMed ID: 34964986 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automatic segmentation of the pharyngeal airway space with convolutional neural network. Shujaat S; Jazil O; Willems H; Van Gerven A; Shaheen E; Politis C; Jacobs R J Dent; 2021 Aug; 111():103705. PubMed ID: 34077802 [TBL] [Abstract][Full Text] [Related]
4. Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning. Wang H; Minnema J; Batenburg KJ; Forouzanfar T; Hu FJ; Wu G J Dent Res; 2021 Aug; 100(9):943-949. PubMed ID: 33783247 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural network. Minnema J; van Eijnatten M; Hendriksen AA; Liberton N; Pelt DM; Batenburg KJ; Forouzanfar T; Wolff J Med Phys; 2019 Nov; 46(11):5027-5035. PubMed ID: 31463937 [TBL] [Abstract][Full Text] [Related]
7. 4D liver tumor localization using cone-beam projections and a biomechanical model. Zhang Y; Folkert MR; Li B; Huang X; Meyer JJ; Chiu T; Lee P; Tehrani JN; Cai J; Parsons D; Jia X; Wang J Radiother Oncol; 2019 Apr; 133():183-192. PubMed ID: 30448003 [TBL] [Abstract][Full Text] [Related]
8. Comparison of convolutional neural network training strategies for cone-beam CT image segmentation. Minnema J; Wolff J; Koivisto J; Lucka F; Batenburg KJ; Forouzanfar T; van Eijnatten M Comput Methods Programs Biomed; 2021 Aug; 207():106192. PubMed ID: 34062493 [TBL] [Abstract][Full Text] [Related]
9. Uncertainty estimation- and attention-based semi-supervised models for automatically delineate clinical target volume in CBCT images of breast cancer. Wang Z; Cao N; Sun J; Zhang H; Zhang S; Ding J; Xie K; Gao L; Ni X Radiat Oncol; 2024 May; 19(1):66. PubMed ID: 38811994 [TBL] [Abstract][Full Text] [Related]
10. Deformation trajectory prediction using a neural network trained on finite element data-application to library of CTVs creation for cervical cancer. Beekman C; Schaake E; Sonke JJ; Remeijer P Phys Med Biol; 2021 Oct; 66(21):. PubMed ID: 34607325 [No Abstract] [Full Text] [Related]
11. Influence of dental fillings and tooth type on the performance of a novel artificial intelligence-driven tool for automatic tooth segmentation on CBCT images - A validation study. Fontenele RC; Gerhardt MDN; Pinto JC; Van Gerven A; Willems H; Jacobs R; Freitas DQ J Dent; 2022 Apr; 119():104069. PubMed ID: 35183696 [TBL] [Abstract][Full Text] [Related]
12. Automatic prostate segmentation in cone-beam computed tomography images using rigid registration. Boydev C; Pasquier D; Derraz F; Peyrodie L; Taleb-Ahmed A; Thiran JP Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():3993-7. PubMed ID: 24110607 [TBL] [Abstract][Full Text] [Related]
13. Automatic bladder segmentation on CBCT for multiple plan ART of bladder cancer using a patient-specific bladder model. Chai X; van Herk M; Betgen A; Hulshof M; Bel A Phys Med Biol; 2012 Jun; 57(12):3945-62. PubMed ID: 22643320 [TBL] [Abstract][Full Text] [Related]
14. Deep convolutional neural network-based automated segmentation and classification of teeth with orthodontic brackets on cone-beam computed-tomographic images: a validation study. Ayidh Alqahtani K; Jacobs R; Smolders A; Van Gerven A; Willems H; Shujaat S; Shaheen E Eur J Orthod; 2023 Mar; 45(2):169-174. PubMed ID: 36099419 [TBL] [Abstract][Full Text] [Related]
15. Comparison of 2D, 2.5D, and 3D segmentation networks for maxillary sinuses and lesions in CBCT images. Yoo YS; Kim D; Yang S; Kang SR; Kim JE; Huh KH; Lee SS; Heo MS; Yi WJ BMC Oral Health; 2023 Nov; 23(1):866. PubMed ID: 37964229 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Full virtual patient generated by artificial intelligence-driven integrated segmentation of craniomaxillofacial structures from CBCT images. Nogueira-Reis F; Morgan N; Suryani IR; Tabchoury CPM; Jacobs R J Dent; 2024 Feb; 141():104829. PubMed ID: 38163456 [TBL] [Abstract][Full Text] [Related]
18. Deformable registration of lateral cephalogram and cone-beam computed tomography image. Zhang Y; Qin H; Li P; Pei Y; Guo Y; Xu T; Zha H Med Phys; 2021 Nov; 48(11):6901-6915. PubMed ID: 34496039 [TBL] [Abstract][Full Text] [Related]
19. CBCT-guided evolutive library for cervical adaptive IMRT. Rigaud B; Simon A; Gobeli M; Lafond C; Leseur J; Barateau A; Jaksic N; Castelli J; Williaume D; Haigron P; De Crevoisier R Med Phys; 2018 Apr; 45(4):1379-1390. PubMed ID: 29453893 [TBL] [Abstract][Full Text] [Related]
20. A 3D global-to-local deformable mesh model based registration and anatomy-constrained segmentation method for image guided prostate radiotherapy. Zhou J; Kim S; Jabbour S; Goyal S; Haffty B; Chen T; Levinson L; Metaxas D; Yue NJ Med Phys; 2010 Mar; 37(3):1298-308. PubMed ID: 20384267 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]