177 related articles for article (PubMed ID: 37253374)
1. Automated deep learning auto-segmentation of air volumes for MRI-guided online adaptive radiation therapy of abdominal tumors.
Ahunbay E; Parchur AK; Xu J; Thill D; Paulson ES; Li XA
Phys Med Biol; 2023 Jun; 68(12):. PubMed ID: 37253374
[No Abstract] [Full Text] [Related]
2. Development and implementation of an automatic air delineation technique for MRI-guided adaptive radiation therapy.
Ahunbay E; Parchur AK; Paulson E; Chen X; Omari E; Li XA
Phys Med Biol; 2022 Jul; 67(14):. PubMed ID: 35732168
[No Abstract] [Full Text] [Related]
3. Patient-specific daily updated deep learning auto-segmentation for MRI-guided adaptive radiotherapy.
Li Z; Zhang W; Li B; Zhu J; Peng Y; Li C; Zhu J; Zhou Q; Yin Y
Radiother Oncol; 2022 Dec; 177():222-230. PubMed ID: 36375561
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of auto-segmentation for EBRT planning structures using deep learning-based workflow on cervical cancer.
Wang J; Chen Y; Xie H; Luo L; Tang Q
Sci Rep; 2022 Aug; 12(1):13650. PubMed ID: 35953516
[TBL] [Abstract][Full Text] [Related]
5. Automated air region delineation on MRI for synthetic CT creation.
Thapa R; Ahunbay E; Nasief H; Chen X; Allen Li X
Phys Med Biol; 2020 Jan; 65(2):025009. PubMed ID: 31775128
[TBL] [Abstract][Full Text] [Related]
6. Patient-specific transfer learning for auto-segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi-centric evaluation.
Kawula M; Hadi I; Nierer L; Vagni M; Cusumano D; Boldrini L; Placidi L; Corradini S; Belka C; Landry G; Kurz C
Med Phys; 2023 Mar; 50(3):1573-1585. PubMed ID: 36259384
[TBL] [Abstract][Full Text] [Related]
7. The dosimetric impact of deep learning-based auto-segmentation of organs at risk on nasopharyngeal and rectal cancer.
Guo H; Wang J; Xia X; Zhong Y; Peng J; Zhang Z; Hu W
Radiat Oncol; 2021 Jun; 16(1):113. PubMed ID: 34162410
[TBL] [Abstract][Full Text] [Related]
8. Deep learning based automatic contour refinement for inaccurate auto-segmentation in MR-guided adaptive radiotherapy.
Ding J; Zhang Y; Amjad A; Sarosiek C; Dang NP; Zarenia M; Li XA
Phys Med Biol; 2023 Feb; 68(5):. PubMed ID: 36731136
[No Abstract] [Full Text] [Related]
9. Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approach.
Liang F; Qian P; Su KH; Baydoun A; Leisser A; Van Hedent S; Kuo JW; Zhao K; Parikh P; Lu Y; Traughber BJ; Muzic RF
Artif Intell Med; 2018 Aug; 90():34-41. PubMed ID: 30054121
[TBL] [Abstract][Full Text] [Related]
10. A Technique to Rapidly Generate Synthetic Computed Tomography for Magnetic Resonance Imaging-Guided Online Adaptive Replanning: An Exploratory Study.
Ahunbay EE; Thapa R; Chen X; Paulson E; Li XA
Int J Radiat Oncol Biol Phys; 2019 Apr; 103(5):1261-1270. PubMed ID: 30550817
[TBL] [Abstract][Full Text] [Related]
11. Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery.
Chung SY; Chang JS; Choi MS; Chang Y; Choi BS; Chun J; Keum KC; Kim JS; Kim YB
Radiat Oncol; 2021 Feb; 16(1):44. PubMed ID: 33632248
[TBL] [Abstract][Full Text] [Related]
12. Pretreatment information-aided automatic segmentation for online magnetic resonance imaging-guided prostate radiotherapy.
Yang B; Liu Y; Zhu J; Lu N; Dai J; Men K
Med Phys; 2024 Feb; 51(2):922-932. PubMed ID: 37449545
[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. 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]
15. Evaluation of auto-segmentation for brachytherapy of postoperative cervical cancer using deep learning-based workflow.
Wang J; Chen Y; Tu Y; Xie H; Chen Y; Luo L; Zhou P; Tang Q
Phys Med Biol; 2023 Feb; 68(5):. PubMed ID: 36753762
[No Abstract] [Full Text] [Related]
16. Automatic segmentation of magnetic resonance images for high-dose-rate cervical cancer brachytherapy using deep learning.
Yoganathan SA; Paul SN; Paloor S; Torfeh T; Chandramouli SH; Hammoud R; Al-Hammadi N
Med Phys; 2022 Mar; 49(3):1571-1584. PubMed ID: 35094405
[TBL] [Abstract][Full Text] [Related]
17. Evaluating contouring accuracy and dosimetry impact of current MRI-guided adaptive radiation therapy for brain metastases: a retrospective study.
Wang B; Liu Y; Zhang J; Yin S; Liu B; Ding S; Qiu B; Deng X
J Neurooncol; 2024 Mar; 167(1):123-132. PubMed ID: 38300388
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Automatic AI-based contouring of prostate MRI for online adaptive radiotherapy.
Nachbar M; Lo Russo M; Gani C; Boeke S; Wegener D; Paulsen F; Zips D; Roque T; Paragios N; Thorwarth D
Z Med Phys; 2024 May; 34(2):197-207. PubMed ID: 37263911
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]