186 related articles for article (PubMed ID: 36991566)
21. Coverage optimized planning: probabilistic treatment planning based on dose coverage histogram criteria.
Gordon JJ; Sayah N; Weiss E; Siebers JV
Med Phys; 2010 Feb; 37(2):550-63. PubMed ID: 20229863
[TBL] [Abstract][Full Text] [Related]
22. Automatic multiorgan segmentation in thorax CT images using U-net-GAN.
Dong X; Lei Y; Wang T; Thomas M; Tang L; Curran WJ; Liu T; Yang X
Med Phys; 2019 May; 46(5):2157-2168. PubMed ID: 30810231
[TBL] [Abstract][Full Text] [Related]
23. A novel four-dimensional radiotherapy planning strategy from a tumor-tracking beam's eye view.
Li G; Cohen P; Xie H; Low D; Li D; Rimner A
Phys Med Biol; 2012 Nov; 57(22):7579-98. PubMed ID: 23103415
[TBL] [Abstract][Full Text] [Related]
24. Target miss using PTV-based IMRT compared to robust optimization via coverage probability concept in prostate cancer.
Outaggarts Z; Wegener D; Berger B; Zips D; Paulsen F; Bleif M; Thorwarth D; Alber M; Dohm O; Müller AC
Acta Oncol; 2020 Aug; 59(8):911-917. PubMed ID: 32436467
[No Abstract] [Full Text] [Related]
25. Three-dimensional deep neural network for automatic delineation of cervical cancer in planning computed tomography images.
Ding Y; Chen Z; Wang Z; Wang X; Hu D; Ma P; Ma C; Wei W; Li X; Xue X; Wang X
J Appl Clin Med Phys; 2022 Apr; 23(4):e13566. PubMed ID: 35192243
[TBL] [Abstract][Full Text] [Related]
26. Clinical evaluation of deep learning-based automatic clinical target volume segmentation: a single-institution multi-site tumor experience.
Hou Z; Gao S; Liu J; Yin Y; Zhang L; Han Y; Yan J; Li S
Radiol Med; 2023 Oct; 128(10):1250-1261. PubMed ID: 37597126
[TBL] [Abstract][Full Text] [Related]
27. PTV-based IMPT optimization incorporating planning risk volumes vs robust optimization.
Liu W; Frank SJ; Li X; Li Y; Zhu RX; Mohan R
Med Phys; 2013 Feb; 40(2):021709. PubMed ID: 23387732
[TBL] [Abstract][Full Text] [Related]
28. Delineation of target volumes and organs at risk in adjuvant radiotherapy of early breast cancer: national guidelines and contouring atlas by the Danish Breast Cancer Cooperative Group.
Nielsen MH; Berg M; Pedersen AN; Andersen K; Glavicic V; Jakobsen EH; Jensen I; Josipovic M; Lorenzen EL; Nielsen HM; Stenbygaard L; Thomsen MS; Vallentin S; Zimmermann S; Offersen BV;
Acta Oncol; 2013 May; 52(4):703-10. PubMed ID: 23421926
[TBL] [Abstract][Full Text] [Related]
29. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
Tong N; Gou S; Yang S; Ruan D; Sheng K
Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
[TBL] [Abstract][Full Text] [Related]
30. Knowledge-based planning using both the predicted DVH of organ-at risk and planning target volume.
Jiao SX; Wang ML; Chen LX; Liu XW
Med Eng Phys; 2022 Dec; 110():103803. PubMed ID: 35461772
[TBL] [Abstract][Full Text] [Related]
31. Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer.
Kawula M; Purice D; Li M; Vivar G; Ahmadi SA; Parodi K; Belka C; Landry G; Kurz C
Radiat Oncol; 2022 Jan; 17(1):21. PubMed ID: 35101068
[TBL] [Abstract][Full Text] [Related]
32. A patient-specific planning target volume used in 'plan of the day' adaptation for interfractional motion mitigation.
Chen W; Gemmel A; Rietzel E
J Radiat Res; 2013 Jul; 54 Suppl 1(Suppl 1):i82-90. PubMed ID: 23824132
[TBL] [Abstract][Full Text] [Related]
33. A deep learning model to predict dose-volume histograms of organs at risk in radiotherapy treatment plans.
Liu Z; Chen X; Men K; Yi J; Dai J
Med Phys; 2020 Nov; 47(11):5467-5481. PubMed ID: 32677104
[TBL] [Abstract][Full Text] [Related]
34. A dual deep neural network for auto-delineation in cervical cancer radiotherapy with clinical validation.
Nie S; Wei Y; Zhao F; Dong Y; Chen Y; Li Q; Du W; Li X; Yang X; Li Z
Radiat Oncol; 2022 Nov; 17(1):182. PubMed ID: 36380378
[TBL] [Abstract][Full Text] [Related]
35. Assessment of Monte Carlo algorithm for compliance with RTOG 0915 dosimetric criteria in peripheral lung cancer patients treated with stereotactic body radiotherapy.
Pokhrel D; Sood S; Badkul R; Jiang H; McClinton C; Lominska C; Kumar P; Wang F
J Appl Clin Med Phys; 2016 May; 17(3):277-293. PubMed ID: 27167284
[TBL] [Abstract][Full Text] [Related]
36. Geometric and dosimetric analysis of CT- and MR-based automatic contouring for the EPTN contouring atlas in neuro-oncology.
Vaassen F; Zegers CML; Hofstede D; Wubbels M; Beurskens H; Verheesen L; Canters R; Looney P; Battye M; Gooding MJ; Compter I; Eekers DBP; van Elmpt W
Phys Med; 2023 Oct; 114():103156. PubMed ID: 37813050
[TBL] [Abstract][Full Text] [Related]
37. Evaluation of Deep Learning to Augment Image-Guided Radiotherapy for Head and Neck and Prostate Cancers.
Oktay O; Nanavati J; Schwaighofer A; Carter D; Bristow M; Tanno R; Jena R; Barnett G; Noble D; Rimmer Y; Glocker B; O'Hara K; Bishop C; Alvarez-Valle J; Nori A
JAMA Netw Open; 2020 Nov; 3(11):e2027426. PubMed ID: 33252691
[TBL] [Abstract][Full Text] [Related]
38. Developing an AI-assisted planning pipeline for hippocampal avoidance whole brain radiotherapy.
Lin CY; Chou LS; Wu YH; Kuo JS; Mehta MP; Shiau AC; Liang JA; Hsu SM; Wang TH
Radiother Oncol; 2023 Apr; 181():109528. PubMed ID: 36773828
[TBL] [Abstract][Full Text] [Related]
39. Postoperative radiotherapy for prostate cancer: a comparison of four consensus guidelines and dosimetric evaluation of 3D-CRT versus tomotherapy IMRT.
Malone S; Croke J; Roustan-Delatour N; Belanger E; Avruch L; Malone C; Morash C; Kayser C; Underhill K; Li Y; Malone K; Nyiri B; Spaans J
Int J Radiat Oncol Biol Phys; 2012 Nov; 84(3):725-32. PubMed ID: 22444999
[TBL] [Abstract][Full Text] [Related]
40. Quantitative analysis of the factors which affect the interpatient organ-at-risk dose sparing variation in IMRT plans.
Yuan L; Ge Y; Lee WR; Yin FF; Kirkpatrick JP; Wu QJ
Med Phys; 2012 Nov; 39(11):6868-78. PubMed ID: 23127079
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
