Mu W - Search Results

1

Predicting the nature of pleural effusion in patients with lung adenocarcinoma based on ¹⁸F-FDG PET/CT.

Li Y, Mu W, Li Y, Song X, Huang Y, Jiang L. Li Y, et al. Among authors: mu w. EJNMMI Res. 2021 Oct 15;11(1):108. doi: 10.1186/s13550-021-00850-2. EJNMMI Res. 2021. PMID: 34652524 Free PMC article.

2

Non-invasive decision support for NSCLC treatment using PET/CT radiomics.

Mu W, Jiang L, Zhang J, Shi Y, Gray JE, Tunali I, Gao C, Sun Y, Tian J, Zhao X, Sun X, Gillies RJ, Schabath MB. Mu W, et al. Nat Commun. 2020 Oct 16;11(1):5228. doi: 10.1038/s41467-020-19116-x. Nat Commun. 2020. PMID: 33067442 Free PMC article.

3

¹⁸F-FDG PET/CT Habitat Radiomics Predicts Outcome of Patients with Cervical Cancer Treated with Chemoradiotherapy.

Mu W, Liang Y, Hall LO, Tan Y, Balagurunathan Y, Wenham R, Wu N, Tian J, Gillies RJ. Mu W, et al. Radiol Artif Intell. 2020 Nov 4;2(6):e190218. doi: 10.1148/ryai.2020190218. eCollection 2020 Nov. Radiol Artif Intell. 2020. PMID: 33937845 Free PMC article.

4

Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images.

Mu W, Jiang L, Shi Y, Tunali I, Gray JE, Katsoulakis E, Tian J, Gillies RJ, Schabath MB. Mu W, et al. J Immunother Cancer. 2021 Jun;9(6):e002118. doi: 10.1136/jitc-2020-002118. J Immunother Cancer. 2021. PMID: 34135101 Free PMC article.

5

Staging of cervical cancer based on tumor heterogeneity characterized by texture features on (18)F-FDG PET images.

Mu W, Chen Z, Liang Y, Shen W, Yang F, Dai R, Wu N, Tian J. Mu W, et al. Phys Med Biol. 2015 Jul 7;60(13):5123-39. doi: 10.1088/0031-9155/60/13/5123. Epub 2015 Jun 17. Phys Med Biol. 2015. PMID: 26083460

6

Integrating manual diagnosis into radiomics for reducing the false positive rate of ¹⁸F-FDG PET/CT diagnosis in patients with suspected lung cancer.

Kang F, Mu W, Gong J, Wang S, Li G, Li G, Qin W, Tian J, Wang J. Kang F, et al. Among authors: mu w. Eur J Nucl Med Mol Imaging. 2019 Dec;46(13):2770-2779. doi: 10.1007/s00259-019-04418-0. Epub 2019 Jul 18. Eur J Nucl Med Mol Imaging. 2019. PMID: 31321483

7

A Non-invasive Radiomic Method Using ¹⁸F-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma.

Li L, Mu W, Wang Y, Liu Z, Liu Z, Wang Y, Ma W, Kong Z, Wang S, Zhou X, Wei W, Cheng X, Lin Y, Tian J. Li L, et al. Among authors: mu w. Front Oncol. 2019 Nov 14;9:1183. doi: 10.3389/fonc.2019.01183. eCollection 2019. Front Oncol. 2019. PMID: 31803608 Free PMC article.

8

Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images.

Tian P, He B, Mu W, Liu K, Liu L, Zeng H, Liu Y, Jiang L, Zhou P, Huang Z, Dong D, Li W. Tian P, et al. Among authors: mu w. Theranostics. 2021 Jan 1;11(5):2098-2107. doi: 10.7150/thno.48027. eCollection 2021. Theranostics. 2021. PMID: 33500713 Free PMC article.

9

Prediction of clinically relevant Pancreatico-enteric Anastomotic Fistulas after Pancreatoduodenectomy using deep learning of Preoperative Computed Tomography.

Mu W, Liu C, Gao F, Qi Y, Lu H, Liu Z, Zhang X, Cai X, Ji RY, Hou Y, Tian J, Shi Y. Mu W, et al. Theranostics. 2020 Aug 1;10(21):9779-9788. doi: 10.7150/thno.49671. eCollection 2020. Theranostics. 2020. PMID: 32863959 Free PMC article.

10

Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma.

Fu S, Pan M, Zhang J, Zhang H, Tang Z, Li Y, Mu W, Huang J, Dong D, Duan C, Li X, Wang S, Chen X, He X, Yan J, Lu L, Tian J. Fu S, et al. Among authors: mu w. J Hepatocell Carcinoma. 2021 Sep 4;8:1065-1076. doi: 10.2147/JHC.S319639. eCollection 2021. J Hepatocell Carcinoma. 2021. PMID: 34513748 Free PMC article.

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