Long W - Search Results

1

A Transfer Learning Radiomics Nomogram to Predict the Postoperative Recurrence of Advanced Gastric Cancer.

Huang L, Feng B, Yang Z, Feng ST, Liu Y, Xue H, Shi J, Chen Q, Zhou T, Chen X, Wan C, Chen X, Long W. Huang L, et al. Among authors: long w. J Gastroenterol Hepatol. 2024 Dec 27. doi: 10.1111/jgh.16863. Online ahead of print. J Gastroenterol Hepatol. 2024. PMID: 39730209

2

Computed Tomography-Based Radiomics Nomogram: Potential to Predict Local Recurrence of Gastric Cancer After Radical Resection.

Huang L, Feng B, Li Y, Liu Y, Chen Y, Chen Q, Li C, Huang W, Xue H, Li X, Zhou T, Li R, Long W, Feng ST. Huang L, et al. Among authors: long w. Front Oncol. 2021 Sep 2;11:638362. doi: 10.3389/fonc.2021.638362. eCollection 2021. Front Oncol. 2021. PMID: 34540653 Free PMC article.

3

A Transfer Learning Radiomics Nomogram for Preoperative Prediction of Borrmann Type IV Gastric Cancer From Primary Gastric Lymphoma.

Feng B, Huang L, Liu Y, Chen Y, Zhou H, Yu T, Xue H, Chen Q, Zhou T, Kuang Q, Yang Z, Chen X, Chen X, Peng Z, Long W. Feng B, et al. Among authors: long w. Front Oncol. 2022 Jan 11;11:802205. doi: 10.3389/fonc.2021.802205. eCollection 2021. Front Oncol. 2022. PMID: 35087761 Free PMC article.

4

Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence.

Feng B, Shi J, Huang L, Yang Z, Feng ST, Li J, Chen Q, Xue H, Chen X, Wan C, Hu Q, Cui E, Chen Y, Long W. Feng B, et al. Among authors: long w. Nat Commun. 2024 Jan 25;15(1):742. doi: 10.1038/s41467-024-44946-4. Nat Commun. 2024. PMID: 38272913 Free PMC article.

5

A Heterogeneity Radiomic Nomogram for Preoperative Differentiation of Primary Gastric Lymphoma From Borrmann Type IV Gastric Cancer.

Feng B, Huang L, Li C, Quan Y, Chen Y, Xue H, Chen Q, Sun S, Li R, Long W. Feng B, et al. Among authors: long w. J Comput Assist Tomogr. 2021 Mar-Apr 01;45(2):191-202. doi: 10.1097/RCT.0000000000001117. J Comput Assist Tomogr. 2021. PMID: 33273161

6

Deep learning nomogram for predicting lymph node metastasis using computed tomography image in cervical cancer.

Li P, Feng B, Liu Y, Chen Y, Zhou H, Chen Y, Li W, Long W. Li P, et al. Among authors: long w. Acta Radiol. 2023 Jan;64(1):360-369. doi: 10.1177/02841851211058934. Epub 2021 Dec 7. Acta Radiol. 2023. PMID: 34874188

7

Predicting lymphovascular invasion in clinically node-negative breast cancer detected by abbreviated magnetic resonance imaging: Transfer learning vs. radiomics.

Feng B, Liu Z, Liu Y, Chen Y, Zhou H, Cui E, Li X, Chen X, Li R, Yu T, Zhang L, Long W. Feng B, et al. Among authors: long w. Front Oncol. 2022 Sep 15;12:890659. doi: 10.3389/fonc.2022.890659. eCollection 2022. Front Oncol. 2022. PMID: 36185309 Free PMC article.

8

A transfer learning nomogram for predicting prostate cancer and benign conditions on MRI.

Chen J, Feng B, Hu M, Huang F, Chen Y, Ma X, Long W. Chen J, et al. Among authors: long w. BMC Med Imaging. 2023 Nov 30;23(1):200. doi: 10.1186/s12880-023-01163-7. BMC Med Imaging. 2023. PMID: 38036991 Free PMC article.

9

Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics.

Liu Z, Feng B, Li C, Chen Y, Chen Q, Li X, Guan J, Chen X, Cui E, Li R, Li Z, Long W. Liu Z, et al. Among authors: long w. J Magn Reson Imaging. 2019 Sep;50(3):847-857. doi: 10.1002/jmri.26688. Epub 2019 Feb 17. J Magn Reson Imaging. 2019. PMID: 30773770

10

Differentiating minimally invasive and invasive adenocarcinomas in patients with solitary sub-solid pulmonary nodules with a radiomics nomogram.

Feng B, Chen X, Chen Y, Li Z, Hao Y, Zhang C, Li R, Liao Y, Zhang X, Huang Y, Long W. Feng B, et al. Among authors: long w. Clin Radiol. 2019 Jul;74(7):570.e1-570.e11. doi: 10.1016/j.crad.2019.03.018. Epub 2019 May 2. Clin Radiol. 2019. PMID: 31056198

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