357 related articles for article (PubMed ID: 36354286)
1. Explainability and controllability of patient-specific deep learning with attention-based augmentation for markerless image-guided radiotherapy.
Terunuma T; Sakae T; Hu Y; Takei H; Moriya S; Okumura T; Sakurai H
Med Phys; 2023 Jan; 50(1):480-494. PubMed ID: 36354286
[TBL] [Abstract][Full Text] [Related]
2. Deep learning-based target decomposition for markerless lung tumor tracking in radiotherapy.
Fu Y; Zhang P; Fan Q; Cai W; Pham H; Rimner A; Cuaron J; Cervino L; Moran JM; Li T; Li X
Med Phys; 2024 Jun; 51(6):4271-4282. PubMed ID: 38507259
[TBL] [Abstract][Full Text] [Related]
3. A deep learning framework for automatic detection of arbitrarily shaped fiducial markers in intrafraction fluoroscopic images.
Mylonas A; Keall PJ; Booth JT; Shieh CC; Eade T; Poulsen PR; Nguyen DT
Med Phys; 2019 May; 46(5):2286-2297. PubMed ID: 30929254
[TBL] [Abstract][Full Text] [Related]
4. Development of a deep learning-based patient-specific target contour prediction model for markerless tumor positioning.
Zhou D; Nakamura M; Mukumoto N; Yoshimura M; Mizowaki T
Med Phys; 2022 Mar; 49(3):1382-1390. PubMed ID: 35026057
[TBL] [Abstract][Full Text] [Related]
5. Realistic CT data augmentation for accurate deep-learning based segmentation of head and neck tumors in kV images acquired during radiation therapy.
Gardner M; Bouchta YB; Mylonas A; Mueller M; Cheng C; Chlap P; Finnegan R; Sykes J; Keall PJ; Nguyen DT
Med Phys; 2023 Jul; 50(7):4206-4219. PubMed ID: 37029643
[TBL] [Abstract][Full Text] [Related]
6. Incorporating imaging information from deep neural network layers into image guided radiation therapy (IGRT).
Zhao W; Han B; Yang Y; Buyyounouski M; Hancock SL; Bagshaw H; Xing L
Radiother Oncol; 2019 Nov; 140():167-174. PubMed ID: 31302347
[TBL] [Abstract][Full Text] [Related]
7. Real-time markerless tumour tracking with patient-specific deep learning using a personalised data generation strategy: proof of concept by phantom study.
Takahashi W; Oshikawa S; Mori S
Br J Radiol; 2020 May; 93(1109):20190420. PubMed ID: 32101456
[TBL] [Abstract][Full Text] [Related]
8. A deep learning-based framework (Co-ReTr) for auto-segmentation of non-small cell-lung cancer in computed tomography images.
Kunkyab T; Bahrami Z; Zhang H; Liu Z; Hyde D
J Appl Clin Med Phys; 2024 Mar; 25(3):e14297. PubMed ID: 38373289
[TBL] [Abstract][Full Text] [Related]
9. Feasibility study of deep learning-based markerless real-time lung tumor tracking with orthogonal X-ray projection images.
Zhou D; Nakamura M; Mukumoto N; Matsuo Y; Mizowaki T
J Appl Clin Med Phys; 2023 Apr; 24(4):e13894. PubMed ID: 36576920
[TBL] [Abstract][Full Text] [Related]
10. A machine learning-based real-time tumor tracking system for fluoroscopic gating of lung radiotherapy.
Sakata Y; Hirai R; Kobuna K; Tanizawa A; Mori S
Phys Med Biol; 2020 Apr; 65(8):085014. PubMed ID: 32097899
[TBL] [Abstract][Full Text] [Related]
11. Development and multi-institutional validation of a convolutional neural network to detect vertebral body mis-alignments in 2D x-ray setup images.
Petragallo R; Bertram P; Halvorsen P; Iftimia I; Low DA; Morin O; Narayanasamy G; Saenz DL; Sukumar KN; Valdes G; Weinstein L; Wells MC; Ziemer BP; Lamb JM
Med Phys; 2023 May; 50(5):2662-2671. PubMed ID: 36908243
[TBL] [Abstract][Full Text] [Related]
12. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.
Tong N; Gou S; Yang S; Cao M; Sheng K
Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188
[TBL] [Abstract][Full Text] [Related]
13. A novel MRI segmentation method using CNN-based correction network for MRI-guided adaptive radiotherapy.
Fu Y; Mazur TR; Wu X; Liu S; Chang X; Lu Y; Li HH; Kim H; Roach MC; Henke L; Yang D
Med Phys; 2018 Nov; 45(11):5129-5137. PubMed ID: 30269345
[TBL] [Abstract][Full Text] [Related]
14. Markerless Pancreatic Tumor Target Localization Enabled By Deep Learning.
Zhao W; Shen L; Han B; Yang Y; Cheng K; Toesca DAS; Koong AC; Chang DT; Xing L
Int J Radiat Oncol Biol Phys; 2019 Oct; 105(2):432-439. PubMed ID: 31201892
[TBL] [Abstract][Full Text] [Related]
15. Simultaneous object detection and segmentation for patient-specific markerless lung tumor tracking in simulated radiographs with deep learning.
Huang L; Kurz C; Freislederer P; Manapov F; Corradini S; Niyazi M; Belka C; Landry G; Riboldi M
Med Phys; 2024 Mar; 51(3):1957-1973. PubMed ID: 37683107
[TBL] [Abstract][Full Text] [Related]
16. Real-time tumor tracking using fluoroscopic imaging with deep neural network analysis.
Hirai R; Sakata Y; Tanizawa A; Mori S
Phys Med; 2019 Mar; 59():22-29. PubMed ID: 30928062
[TBL] [Abstract][Full Text] [Related]
17. Deep learning enables MV-based real-time image guided radiation therapy for prostate cancer patients.
Chrystall D; Mylonas A; Hewson E; Martin J; Keall P; Booth J; Nguyen DT
Phys Med Biol; 2023 Apr; 68(9):. PubMed ID: 36963116
[No Abstract] [Full Text] [Related]
18. Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets.
Gherardini M; Mazomenos E; Menciassi A; Stoyanov D
Comput Methods Programs Biomed; 2020 Aug; 192():105420. PubMed ID: 32171151
[TBL] [Abstract][Full Text] [Related]
19. Interpretable deep learning approach for oral cancer classification using guided attention inference network.
Figueroa KC; Song B; Sunny S; Li S; Gurushanth K; Mendonca P; Mukhia N; Patrick S; Gurudath S; Raghavan S; Imchen T; Leivon ST; Kolur T; Shetty V; Bushan V; Ramesh R; Pillai V; Wilder-Smith P; Sigamani A; Suresh A; Kuriakose MA; Birur P; Liang R
J Biomed Opt; 2022 Jan; 27(1):. PubMed ID: 35023333
[TBL] [Abstract][Full Text] [Related]
20. Commissioning of a fluoroscopic-based real-time markerless tumor tracking system in a superconducting rotating gantry for carbon-ion pencil beam scanning treatment.
Mori S; Sakata Y; Hirai R; Furuichi W; Shimabukuro K; Kohno R; Koom WS; Kasai S; Okaya K; Iseki Y
Med Phys; 2019 Apr; 46(4):1561-1574. PubMed ID: 30689205
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
