254 related articles for article (PubMed ID: 35061600)
1. Automatic contouring of normal tissues with deep learning for preclinical radiation studies.
Lappas G; Wolfs CJA; Staut N; Lieuwes NG; Biemans R; van Hoof SJ; Dubois LJ; Verhaegen F
Phys Med Biol; 2022 Feb; 67(4):. PubMed ID: 35061600
[No Abstract] [Full Text] [Related]
2. Inter-observer variability of organ contouring for preclinical studies with cone beam Computed Tomography imaging.
Lappas G; Staut N; Lieuwes NG; Biemans R; Wolfs CJA; van Hoof SJ; Dubois LJ; Verhaegen F
Phys Imaging Radiat Oncol; 2022 Jan; 21():11-17. PubMed ID: 35111981
[TBL] [Abstract][Full Text] [Related]
3. A deep image-to-image network organ segmentation algorithm for radiation treatment planning: principles and evaluation.
Marschner S; Datar M; Gaasch A; Xu Z; Grbic S; Chabin G; Geiger B; Rosenman J; Corradini S; Niyazi M; Heimann T; Möhler C; Vega F; Belka C; Thieke C
Radiat Oncol; 2022 Jul; 17(1):129. PubMed ID: 35869525
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Combining natural and artificial intelligence for robust automatic anatomy segmentation: Application in neck and thorax auto-contouring.
Udupa JK; Liu T; Jin C; Zhao L; Odhner D; Tong Y; Agrawal V; Pednekar G; Nag S; Kotia T; Goodman M; Wileyto EP; Mihailidis D; Lukens JN; Berman AT; Stambaugh J; Lim T; Chowdary R; Jalluri D; Jabbour SK; Kim S; Reyhan M; Robinson CG; Thorstad WL; Choi JI; Press R; Simone CB; Camaratta J; Owens S; Torigian DA
Med Phys; 2022 Nov; 49(11):7118-7149. PubMed ID: 35833287
[TBL] [Abstract][Full Text] [Related]
6. Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network.
Guo Z; Guo N; Gong K; Zhong S; Li Q
Phys Med Biol; 2019 Oct; 64(20):205015. PubMed ID: 31514173
[TBL] [Abstract][Full Text] [Related]
7. Clinical evaluation of deep learning and atlas-based auto-segmentation for critical organs at risk in radiation therapy.
Gibbons E; Hoffmann M; Westhuyzen J; Hodgson A; Chick B; Last A
J Med Radiat Sci; 2023 Apr; 70 Suppl 2(Suppl 2):15-25. PubMed ID: 36148621
[TBL] [Abstract][Full Text] [Related]
8. An uncertainty-aware deep learning architecture with outlier mitigation for prostate gland segmentation in radiotherapy treatment planning.
Li X; Bagher-Ebadian H; Gardner S; Kim J; Elshaikh M; Movsas B; Zhu D; Chetty IJ
Med Phys; 2023 Jan; 50(1):311-322. PubMed ID: 36112996
[TBL] [Abstract][Full Text] [Related]
9. Clinical Validation of a Deep-Learning Segmentation Software in Head and Neck: An Early Analysis in a Developing Radiation Oncology Center.
D'Aviero A; Re A; Catucci F; Piccari D; Votta C; Piro D; Piras A; Di Dio C; Iezzi M; Preziosi F; Menna S; Quaranta F; Boschetti A; Marras M; Miccichè F; Gallus R; Indovina L; Bussu F; Valentini V; Cusumano D; Mattiucci GC
Int J Environ Res Public Health; 2022 Jul; 19(15):. PubMed ID: 35897425
[TBL] [Abstract][Full Text] [Related]
10. A clinical and time savings evaluation of a deep learning automatic contouring algorithm.
Ginn JS; Gay HA; Hilliard J; Shah J; Mistry N; Möhler C; Hugo GD; Hao Y
Med Dosim; 2023 Spring; 48(1):55-60. PubMed ID: 36550000
[TBL] [Abstract][Full Text] [Related]
11. Evaluating Automatic Segmentation for Swallowing-Related Organs for Head and Neck Cancer.
Li Y; Rao S; Chen W; Azghadi SF; Nguyen KNB; Moran A; Usera BM; Dyer BA; Shang L; Chen Q; Rong Y
Technol Cancer Res Treat; 2022; 21():15330338221105724. PubMed ID: 35790457
[No Abstract] [Full Text] [Related]
12. Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors.
Ribeiro MF; Marschner S; Kawula M; Rabe M; Corradini S; Belka C; Riboldi M; Landry G; Kurz C
Radiat Oncol; 2023 Aug; 18(1):135. PubMed ID: 37574549
[TBL] [Abstract][Full Text] [Related]
13. Evaluating the clinical acceptability of deep learning contours of prostate and organs-at-risk in an automated prostate treatment planning process.
Duan J; Bernard M; Downes L; Willows B; Feng X; Mourad WF; St Clair W; Chen Q
Med Phys; 2022 Apr; 49(4):2570-2581. PubMed ID: 35147216
[TBL] [Abstract][Full Text] [Related]
14. Auto-segmentation of important centers of growth in the pediatric skeleton to consider during radiation therapy based on deep learning.
Qiu W; Zhang W; Ma X; Kong Y; Shi P; Fu M; Wang D; Hu M; Zhou X; Dong Q; Zhou Q; Zhu J
Med Phys; 2023 Jan; 50(1):284-296. PubMed ID: 36047281
[TBL] [Abstract][Full Text] [Related]
15. ThoraxNet: a 3D U-Net based two-stage framework for OAR segmentation on thoracic CT images.
Francis S; Jayaraj PB; Pournami PN; Thomas M; Jose AT; Binu AJ; Puzhakkal N
Phys Eng Sci Med; 2022 Mar; 45(1):189-203. PubMed ID: 35029804
[TBL] [Abstract][Full Text] [Related]
16. Geometric evaluations of CT and MRI based deep learning segmentation for brain OARs in radiotherapy.
Alzahrani N; Henry A; Clark A; Murray L; Nix M; Al-Qaisieh B
Phys Med Biol; 2023 Aug; 68(17):. PubMed ID: 37579753
[No Abstract] [Full Text] [Related]
17. Registration-guided deep learning image segmentation for cone beam CT-based online adaptive radiotherapy.
Ma L; Chi W; Morgan HE; Lin MH; Chen M; Sher D; Moon D; Vo DT; Avkshtol V; Lu W; Gu X
Med Phys; 2022 Aug; 49(8):5304-5316. PubMed ID: 35460584
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy.
Savenije MHF; Maspero M; Sikkes GG; van der Voort van Zyp JRN; T J Kotte AN; Bol GH; T van den Berg CA
Radiat Oncol; 2020 May; 15(1):104. PubMed ID: 32393280
[TBL] [Abstract][Full Text] [Related]
20. Comparison of atlas-based and deep learning methods for organs at risk delineation on head-and-neck CT images using an automated treatment planning system.
Costea M; Zlate A; Durand M; Baudier T; Grégoire V; Sarrut D; Biston MC
Radiother Oncol; 2022 Dec; 177():61-70. PubMed ID: 36328093
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
