Jing-wen Tan

发表

Evaluation of Effects of TGF‐β1 Inhibition on Gastric Cancer in Nude Mice by Diffusion Kurtosis Imaging and In‐Line X‐ray Phase Contrast Imaging With Sequential Histology

Yang Zhang, Weibo Chen, Fuhua Yan, 2018, Journal of magnetic resonance imaging : JMRI.

Predicting Chemotherapeutic Response for Far-advanced Gastric Cancer by Radiomics with Deep Learning Semi-automatic Segmentation

L. Zou, Huan Zhang, J. Ji, 2020, Journal of Cancer.

Magnetic resonance imaging-based deep learning model to predict multiple firings in double-stapled colorectal anastomosis

Junjun Ma, Zhenghao Cai, L. Zang, 2023, World journal of gastroenterology.

The Performance of a Dual-Energy CT Derived Radiomics Model in Differentiating Serosal Invasion for Advanced Gastric Cancer Patients After Neoadjuvant Chemotherapy: Iodine Map Combined With 120-kV Equivalent Mixed Images

Fuhua Yan, W. Yao, Jun Zhang, 2021, Frontiers in Oncology.

Deep learning for differentiating novel coronavirus pneumonia and influenza pneumonia

Min Zhou, J. Qu, Fuhua Yan, 2021, Annals of translational medicine.

Comparison of Computed and Acquired DWI in the Assessment of Rectal Cancer: Image Quality and Preoperative Staging

Zhiyuan Wu, C. Fu, Lan Wang, 2022, Frontiers in Oncology.

Efficacy and prognostic value of delta radiomics on dual-energy computed tomography for gastric cancer with neoadjuvant chemotherapy: a preliminary study

M. Wels, Yong Chen, Jingwen Tan, 2022, Acta radiologica.

Assessment of liver metastases radiomic feature reproducibility with deep-learning-based semi-automatic segmentation software

Huan Zhang, Z. Pan, Lan Wang, 2020, Acta radiologica.

Improved deep learning model for differentiating novel coronavirus pneumonia and influenza pneumonia

J. Qu, M. Zhou, Y. Chen, 2020, medRxiv.