Jiang Q - Search Results

1

Development and validation of a CT-based deep learning radiomics nomogram to predict muscle invasion in bladder cancer.

Wei Z, Liu H, Xv Y, Liao F, He Q, Xie Y, Lv F, Jiang Q, Xiao M. Wei Z, et al. Among authors: jiang q. Heliyon. 2024 Jan 17;10(2):e24878. doi: 10.1016/j.heliyon.2024.e24878. eCollection 2024 Jan 30. Heliyon. 2024. PMID: 38304824 Free PMC article.

2

Stratification of malignant renal neoplasms from cystic renal lesions using deep learning and radiomics features based on a stacking ensemble CT machine learning algorithm.

He QH, Tan H, Liao FT, Zheng YN, Lv FJ, Jiang Q, Xiao MZ. He QH, et al. Among authors: jiang q. Front Oncol. 2022 Oct 25;12:1028577. doi: 10.3389/fonc.2022.1028577. eCollection 2022. Front Oncol. 2022. PMID: 36387261 Free PMC article.

3

Deep learning and radiomic feature-based blending ensemble classifier for malignancy risk prediction in cystic renal lesions.

He QH, Feng JJ, Lv FJ, Jiang Q, Xiao MZ. He QH, et al. Among authors: jiang q. Insights Imaging. 2023 Jan 11;14(1):6. doi: 10.1186/s13244-022-01349-7. Insights Imaging. 2023. PMID: 36629980 Free PMC article.

4

Validity of a multiphase CT-based radiomics model in predicting the Leibovich risk groups for localized clear cell renal cell carcinoma: an exploratory study.

Liu H, Wei Z, Xv Y, Tan H, Liao F, Lv F, Jiang Q, Chen T, Xiao M. Liu H, et al. Among authors: jiang q. Insights Imaging. 2023 Oct 10;14(1):167. doi: 10.1186/s13244-023-01526-2. Insights Imaging. 2023. PMID: 37816901 Free PMC article.

5

A CT-based deep learning model predicts overall survival in patients with muscle invasive bladder cancer after radical cystectomy: a multicenter retrospective cohort study.

Wei Z, Xv Y, Liu H, Li Y, Yin S, Xie Y, Chen Y, Lv F, Jiang Q, Li F, Xiao M. Wei Z, et al. Among authors: jiang q. Int J Surg. 2024 May 1;110(5):2922-2932. doi: 10.1097/JS9.0000000000001194. Int J Surg. 2024. PMID: 38349205 Free PMC article.

6

Deep learning system for malignancy risk prediction in cystic renal lesions: a multicenter study.

He QH, Feng JJ, Wu LC, Wang Y, Zhang X, Jiang Q, Zeng QY, Yin SW, He WY, Lv FJ, Xiao MZ. He QH, et al. Among authors: jiang q. Insights Imaging. 2024 May 20;15(1):121. doi: 10.1186/s13244-024-01700-0. Insights Imaging. 2024. PMID: 38763985 Free PMC article.

7

Three-dimensional deep learning model complements existing models for preoperative disease-free survival prediction in localized clear cell renal cell carcinoma: a multicenter retrospective cohort study.

Xv Y, Wei Z, Jiang Q, Zhang X, Chen Y, Xiao B, Yin S, Xia Z, Qiu M, Li Y, Tan H, Xiao M. Xv Y, et al. Among authors: jiang q. Int J Surg. 2024 Nov 1;110(11):7034-7046. doi: 10.1097/JS9.0000000000001808. Int J Surg. 2024. PMID: 38896853 Free PMC article.

8

Multiparameter computed tomography (CT) radiomics signature fusion-based model for the preoperative prediction of clear cell renal cell carcinoma nuclear grade: a multicenter development and external validation study.

Xv Y, Wei Z, Lv F, Jiang Q, Guo H, Zheng Y, Zhang X, Xiao M. Xv Y, et al. Among authors: jiang q. Quant Imaging Med Surg. 2024 Oct 1;14(10):7031-7045. doi: 10.21037/qims-24-35. Epub 2024 Sep 12. Quant Imaging Med Surg. 2024. PMID: 39429571 Free PMC article.

9

Interpretable CT Radiomics-based Machine Learning Model for Preoperative Prediction of Ki-67 Expression in Clear Cell Renal Cell Carcinoma.

Xv Y, Xiao B, Wei Z, Cao Y, Jiang Q, Li F, Lv F, Peng C, Li X, Xiao M. Xv Y, et al. Among authors: jiang q. Acad Radiol. 2025 Jan 8:S1076-6332(24)00947-4. doi: 10.1016/j.acra.2024.11.072. Online ahead of print. Acad Radiol. 2025. PMID: 39788813

10

Identification and diagnosis of meniscus tear by magnetic resonance imaging using a deep learning model.

Li J, Qian K, Liu J, Huang Z, Zhang Y, Zhao G, Wang H, Li M, Liang X, Zhou F, Yu X, Li L, Wang X, Yang X, Jiang Q. Li J, et al. Among authors: jiang q. J Orthop Translat. 2022 Jun 26;34:91-101. doi: 10.1016/j.jot.2022.05.006. eCollection 2022 May. J Orthop Translat. 2022. PMID: 35847603 Free PMC article.

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