Ren G - Search Results

1

Interpretable deep learning insights: Unveiling the role of 1 Gy volume on lymphopenia after radiotherapy in breast cancer.

Chen F, Zhou P, Ren G, Lee EKW, Liu Q, Shen Y, Wang Y, El Helali A, Jin JY, Fu P, Dai W, Lee AWM, Yu H, Spring Kong FM. Chen F, et al. Among authors: ren g. Radiother Oncol. 2024 Aug;197:110333. doi: 10.1016/j.radonc.2024.110333. Epub 2024 May 19. Radiother Oncol. 2024. PMID: 38772478

2

Investigation of a Novel Deep Learning-Based Computed Tomography Perfusion Mapping Framework for Functional Lung Avoidance Radiotherapy.

Ren G, Lam SK, Zhang J, Xiao H, Cheung AL, Ho WY, Qin J, Cai J. Ren G, et al. Front Oncol. 2021 Mar 24;11:644703. doi: 10.3389/fonc.2021.644703. eCollection 2021. Front Oncol. 2021. PMID: 33842356 Free PMC article.

3

A Transfer Learning Framework for Deep Learning-Based CT-to-Perfusion Mapping on Lung Cancer Patients.

Ren G, Li B, Lam SK, Xiao H, Huang YH, Cheung AL, Lu Y, Mao R, Ge H, Kong FS, Ho WY, Cai J. Ren G, et al. Front Oncol. 2022 Jul 1;12:883516. doi: 10.3389/fonc.2022.883516. eCollection 2022. Front Oncol. 2022. PMID: 35847874 Free PMC article.

4

Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy.

Ren G, Lam SK, Zhang J, Xiao H, Cheung AL, Ho WY, Qin J, Cai J. Ren G, et al. Front Oncol. 2022 Sep 5;12:1005287. doi: 10.3389/fonc.2022.1005287. eCollection 2022. Front Oncol. 2022. PMID: 36132139 Free PMC article.

5

Improving radiomic model reliability using robust features from perturbations for head-and-neck carcinoma.

Teng X, Zhang J, Ma Z, Zhang Y, Lam S, Li W, Xiao H, Li T, Li B, Zhou T, Ren G, Lee FK, Au KH, Lee VH, Chang ATY, Cai J. Teng X, et al. Among authors: ren g. Front Oncol. 2022 Oct 14;12:974467. doi: 10.3389/fonc.2022.974467. eCollection 2022. Front Oncol. 2022. PMID: 36313629 Free PMC article.

6

Quantitative texture analysis using machine learning for predicting interpretable pulmonary perfusion from non-contrast computed tomography in pulmonary embolism patients.

Li Z, Zhao M, Li Z, Huang YH, Chen Z, Pu Y, Zhao M, Liu X, Wang M, Wang K, Yeung MHY, Geng L, Cai J, Zhang W, Yang R, Ren G. Li Z, et al. Among authors: ren g. Respir Res. 2024 Oct 28;25(1):389. doi: 10.1186/s12931-024-03004-9. Respir Res. 2024. PMID: 39468714 Free PMC article.

7

Radiation-induced lung damage in patients treated with stereotactic body radiotherapy after EGFR-TKIs: is there any difference from stereotactic body radiotherapy alone?

Tang X, Shen Y, Meng Y, Hou L, Zhou C, Yu C, Jia H, Wang W, Ren G, Cai J, Li XA, Yang H, Kong FS. Tang X, et al. Among authors: ren g. Ann Palliat Med. 2021 Mar;10(3):2832-2842. doi: 10.21037/apm-20-1116. Epub 2021 Feb 5. Ann Palliat Med. 2021. PMID: 33548998 Free article.

8

Deep Learning-Based Computed Tomography Perfusion Mapping (DL-CTPM) for Pulmonary CT-to-Perfusion Translation.

Ren G, Zhang J, Li T, Xiao H, Cheung LY, Ho WY, Qin J, Cai J. Ren G, et al. Int J Radiat Oncol Biol Phys. 2021 Aug 1;110(5):1508-1518. doi: 10.1016/j.ijrobp.2021.02.032. Epub 2021 Mar 6. Int J Radiat Oncol Biol Phys. 2021. PMID: 33689853

9

Deep learning-based bone suppression in chest radiographs using CT-derived features: a feasibility study.

Ren G, Xiao H, Lam SK, Yang D, Li T, Teng X, Qin J, Cai J. Ren G, et al. Quant Imaging Med Surg. 2021 Dec;11(12):4807-4819. doi: 10.21037/qims-20-1230. Quant Imaging Med Surg. 2021. PMID: 34888191 Free PMC article.

10

Deep Learning-Based Automatic Assessment of Radiation Dermatitis in Patients With Nasopharyngeal Carcinoma.

Ni R, Zhou T, Ren G, Zhang Y, Yang D, Tam VCW, Leung WS, Ge H, Lee SWY, Cai J. Ni R, et al. Among authors: ren g. Int J Radiat Oncol Biol Phys. 2022 Jul 1;113(3):685-694. doi: 10.1016/j.ijrobp.2022.03.011. Epub 2022 Mar 15. Int J Radiat Oncol Biol Phys. 2022. PMID: 35304306 Free article.

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