Zhenwei Shi - Search Results

Year	Number of Results
2004	1
2007	3
2008	1
2009	1
2011	1
2012	1
2013	1
2014	3
2015	1
2016	2
2018	3
2019	7
2020	4
2021	9
2022	16
2023	18
2024	13
2025	16
2026	7

1

MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer.

Shi Z, Huang X, Cheng Z, Xu Z, Lin H, Liu C, Chen X, Liu C, Liang C, Lu C, Cui Y, Han C, Qu J, Shen J, Liu Z. Shi Z, et al. Radiology. 2023 Jul;308(1):e222830. doi: 10.1148/radiol.222830. Radiology. 2023. PMID: 37432083

2

Non-invasive multimodal CT deep learning biomarker to predict pathological complete response of non-small cell lung cancer following neoadjuvant immunochemotherapy: a multicenter study.

Ye G, Wu G, Qi Y, Li K, Wang M, Zhang C, Li F, Wee L, Dekker A, Han C, Liu Z, Liao Y, Shi Z. Ye G, et al. Among authors: shi z. J Immunother Cancer. 2024 Sep 3;12(9):e009348. doi: 10.1136/jitc-2024-009348. J Immunother Cancer. 2024. PMID: 39231545 Free PMC article.

3

A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.

Cui Y, Zhang J, Li Z, Wei K, Lei Y, Ren J, Wu L, Shi Z, Meng X, Yang X, Gao X. Cui Y, et al. Among authors: shi z. EClinicalMedicine. 2022 Mar 21;46:101348. doi: 10.1016/j.eclinm.2022.101348. eCollection 2022 Apr. EClinicalMedicine. 2022. PMID: 35340629 Free PMC article.

4

Multimodal radiopathological integration for prognosis and prediction of adjuvant chemotherapy benefit in resectable lung adenocarcinoma: A multicentre study.

Lin H, Hua J, Gong Z, Chen M, Qiu B, Wu Y, He W, Wang Y, Feng Z, Liang Y, Long W, Li R, Kuang Q, Chen Y, Lu J, Luo S, Zhao W, Yan L, Chen X, Shi Z, Xu Z, Mo Z, Liu E, Han C, Cui Y, Yang X, Chen X, Liu J, Pan X, Madabhushi A, Lu C, Liu Z. Lin H, et al. Among authors: shi z. Cancer Lett. 2025 Apr 28;616:217557. doi: 10.1016/j.canlet.2025.217557. Epub 2025 Feb 13. Cancer Lett. 2025. PMID: 39954935

5

Multimodal prediction based on ultrasound for response to neoadjuvant chemotherapy in triple negative breast cancer.

Lyu M, Yi S, Li C, Xie Y, Liu Y, Xu Z, Wei Z, Lin H, Zheng Y, Huang C, Lin X, Liu Z, Pei S, Huang B, Shi Z. Lyu M, et al. Among authors: shi z. NPJ Precis Oncol. 2025 Jul 25;9(1):259. doi: 10.1038/s41698-025-01057-7. NPJ Precis Oncol. 2025. PMID: 40715366 Free PMC article.

6

AI-derived longitudinal and multi-dimensional CT classifier for non-small cell lung cancer to optimize neoadjuvant chemoimmunotherapy decision: a multicentre retrospective study.

Ye G, Wei Z, Han C, Wu G, Wong C, Liang Y, Chen X, Zhou W, Gao J, Liang C, Liao Y, Hendriks LEL, Wee L, De Ruysscher D, Dekker A, Zhou H, Qi Y, Liu Z, Shi Z. Ye G, et al. Among authors: shi z. EClinicalMedicine. 2025 Oct 7;89:103551. doi: 10.1016/j.eclinm.2025.103551. eCollection 2025 Nov. EClinicalMedicine. 2025. PMID: 41127561 Free PMC article.

7

Development and Validation of a Deep Learning Model to Reduce the Interference of Rectal Artifacts in MRI-based Prostate Cancer Diagnosis.

Hu L, Guo X, Zhou D, Wang Z, Dai L, Li L, Li Y, Zhang T, Long H, Yu C, Shi ZW, Han C, Lu C, Zhao J, Li Y, Zha Y, Liu Z. Hu L, et al. Radiol Artif Intell. 2024 Mar;6(2):e230362. doi: 10.1148/ryai.230362. Radiol Artif Intell. 2024. PMID: 38446042 Free PMC article.

8

Comparison of middle molecule removal with expanded hemodialysis versus haemodiafiltration among Chinese hemodialysis patients.

Gan L, Gu L, Ge Y, Lin H, Li Y, Chen F, Li W, Gao B, Ding F, Zhang X, Shi Z, Ji J, Yao Q, Keller B, Sarkar S, Zuo L. Gan L, et al. Among authors: shi z. Ren Fail. 2025 Dec;47(1):2498093. doi: 10.1080/0886022X.2025.2498093. Epub 2025 May 29. Ren Fail. 2025. PMID: 40441692 Free PMC article. Clinical Trial.

9

FedBCD: Federated Ultrasound Video and Image Joint Learning for Breast Cancer Diagnosis.

Deng T, Huang C, Cai M, Liu Y, Liu M, Lin J, Shi Z, Zhao B, Huang J, Liang C, Han G, Liu Z, Wang Y, Han C. Deng T, et al. Among authors: shi z. IEEE Trans Med Imaging. 2025 Jun;44(6):2395-2407. doi: 10.1109/TMI.2025.3532474. IEEE Trans Med Imaging. 2025. PMID: 40031191

10

A computed tomography-based multitask deep learning model for predicting tumour stroma ratio and treatment outcomes in patients with colorectal cancer: a multicentre cohort study.

Cui Y, Zhao K, Meng X, Mao Y, Han C, Shi Z, Yang X, Tong T, Wu L, Liu Z. Cui Y, et al. Among authors: shi z. Int J Surg. 2024 May 1;110(5):2845-2854. doi: 10.1097/JS9.0000000000001161. Int J Surg. 2024. PMID: 38348900 Free PMC article.

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