Yang B - Search Results

1

Deep learning method for predicting weekly anatomical changes in patients with nasopharyngeal carcinoma during radiotherapy.

Yang B, Liu Y, Wei R, Men K, Dai J. Yang B, et al. Med Phys. 2024 Nov;51(11):7998-8009. doi: 10.1002/mp.17381. Epub 2024 Sep 3. Med Phys. 2024. PMID: 39225585

2

Evaluation of Automatic Segmentation Model With Dosimetric Metrics for Radiotherapy of Esophageal Cancer.

Zhu J, Chen X, Yang B, Bi N, Zhang T, Men K, Dai J. Zhu J, et al. Among authors: yang b. Front Oncol. 2020 Sep 29;10:564737. doi: 10.3389/fonc.2020.564737. eCollection 2020. Front Oncol. 2020. PMID: 33117694 Free PMC article.

3

Continual improvement of nasopharyngeal carcinoma segmentation with less labeling effort.

Men K, Chen X, Zhu J, Yang B, Zhang Y, Yi J, Jianrong Dai A. Men K, et al. Among authors: yang b. Phys Med. 2020 Dec;80:347-351. doi: 10.1016/j.ejmp.2020.11.005. Epub 2020 Dec 1. Phys Med. 2020. PMID: 33271391

4

Automatic segmentation of three clinical target volumes in radiotherapy using lifelong learning.

Men K, Chen X, Yang B, Zhu J, Yi J, Wang S, Li Y, Dai J. Men K, et al. Among authors: yang b. Radiother Oncol. 2021 Apr;157:1-7. doi: 10.1016/j.radonc.2020.12.034. Epub 2021 Jan 5. Radiother Oncol. 2021. PMID: 33418008

5

DVHnet: A deep learning-based prediction of patient-specific dose volume histograms for radiotherapy planning.

Chen X, Men K, Zhu J, Yang B, Li M, Liu Z, Yan X, Yi J, Dai J. Chen X, et al. Among authors: yang b. Med Phys. 2021 Jun;48(6):2705-2713. doi: 10.1002/mp.14758. Epub 2021 Apr 18. Med Phys. 2021. PMID: 33550616

6

A deep-learning method for generating synthetic kV-CT and improving tumor segmentation for helical tomotherapy of nasopharyngeal carcinoma.

Chen X, Yang B, Li J, Zhu J, Ma X, Chen D, Hu Z, Men K, Dai J. Chen X, et al. Among authors: yang b. Phys Med Biol. 2021 Nov 11;66(22). doi: 10.1088/1361-6560/ac3345. Phys Med Biol. 2021. PMID: 34700300

7

A feasible method to evaluate deformable image registration with deep learning-based segmentation.

Yang B, Chen X, Li J, Zhu J, Men K, Dai J. Yang B, et al. Phys Med. 2022 Mar;95:50-56. doi: 10.1016/j.ejmp.2022.01.006. Epub 2022 Jan 25. Phys Med. 2022. PMID: 35091332

8

Deep learning improves image quality and radiomics reproducibility for high-speed four-dimensional computed tomography reconstruction.

Yang B, Chen X, Yuan S, Liu Y, Dai J, Men K. Yang B, et al. Radiother Oncol. 2022 May;170:184-189. doi: 10.1016/j.radonc.2022.02.034. Epub 2022 Mar 4. Radiother Oncol. 2022. PMID: 35257852

9

A two-step method to improve image quality of CBCT with phantom-based supervised and patient-based unsupervised learning strategies.

Liu Y, Chen X, Zhu J, Yang B, Wei R, Xiong R, Quan H, Liu Y, Dai J, Men K. Liu Y, et al. Among authors: yang b. Phys Med Biol. 2022 Apr 11;67(8). doi: 10.1088/1361-6560/ac6289. Phys Med Biol. 2022. PMID: 35354124

10

A more effective CT synthesizer using transformers for cone-beam CT-guided adaptive radiotherapy.

Chen X, Liu Y, Yang B, Zhu J, Yuan S, Xie X, Liu Y, Dai J, Men K. Chen X, et al. Among authors: yang b. Front Oncol. 2022 Aug 25;12:988800. doi: 10.3389/fonc.2022.988800. eCollection 2022. Front Oncol. 2022. PMID: 36091131 Free PMC article.

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