Long W - Search Results

1

Preoperative discrimination of absence or presence of myometrial invasion in endometrial cancer with an MRI-based multimodal deep learning radiomics model.

Chen Y, Ruan X, Wang X, Li P, Chen Y, Feng B, Wen X, Sun J, Zheng C, Zou Y, Liang B, Li M, Long W, Shen Y. Chen Y, et al. Among authors: long w. Abdom Radiol (NY). 2025 Jan 2. doi: 10.1007/s00261-024-04766-y. Online ahead of print. Abdom Radiol (NY). 2025. PMID: 39747670

2

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

3

Radiomics nomogram for preoperative differentiation of lung tuberculoma from adenocarcinoma in solitary pulmonary solid nodule.

Feng B, Chen X, Chen Y, Liu K, Li K, Liu X, Yao N, Li Z, Li R, Zhang C, Ji J, Long W. Feng B, et al. Among authors: long w. Eur J Radiol. 2020 Jul;128:109022. doi: 10.1016/j.ejrad.2020.109022. Epub 2020 Apr 20. Eur J Radiol. 2020. PMID: 32371184

4

Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas.

Feng B, Chen X, Chen Y, Lu S, Liu K, Li K, Liu Z, Hao Y, Li Z, Zhu Z, Yao N, Liang G, Zhang J, Long W, Liu X. Feng B, et al. Among authors: long w. Eur Radiol. 2020 Dec;30(12):6497-6507. doi: 10.1007/s00330-020-07024-z. Epub 2020 Jun 27. Eur Radiol. 2020. PMID: 32594210

5

A CT-based deep learning model for subsolid pulmonary nodules to distinguish minimally invasive adenocarcinoma and invasive adenocarcinoma.

Chen X, Feng B, Chen Y, Duan X, Liu K, Li K, Zhang C, Liu X, Long W. Chen X, et al. Among authors: long w. Eur J Radiol. 2021 Dec;145:110041. doi: 10.1016/j.ejrad.2021.110041. Epub 2021 Nov 15. Eur J Radiol. 2021. PMID: 34837794 Free article.

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

Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes.

Chen X, Feng B, Xu K, Chen Y, Duan X, Jin Z, Li K, Li R, Long W, Liu X. Chen X, et al. Among authors: long w. Eur Radiol. 2023 Oct;33(10):6804-6816. doi: 10.1007/s00330-023-09690-1. Epub 2023 May 6. Eur Radiol. 2023. PMID: 37148352

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

Multimodal deep learning radiomics model for predicting postoperative progression in solid stage I non-small cell lung cancer.

Kuang Q, Feng B, Xu K, Chen Y, Chen X, Duan X, Lei X, Chen X, Li K, Long W. Kuang Q, et al. Among authors: long w. Cancer Imaging. 2024 Oct 17;24(1):140. doi: 10.1186/s40644-024-00783-8. Cancer Imaging. 2024. PMID: 39420411 Free PMC article.

10

MIP image derived from abbreviated breast MRI: potential to reduce unnecessary sub-nipple biopsies during nipple-sparing mastectomy for breast cancer.

Liu Z, Li X, Feng B, Li C, Chen Y, Yi L, Li Z, Li R, Long W. Liu Z, et al. Among authors: long w. Eur Radiol. 2021 Jun;31(6):3683-3692. doi: 10.1007/s00330-020-07550-w. Epub 2020 Nov 27. Eur Radiol. 2021. PMID: 33247343

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