Zhen-Wei Shi (Zhenwei Shi)

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Prostate Cancer

Diffusion Weighted

Top Venues

Radiology. Artificial intelligence

European journal of nuclear medicine and molecular imaging

Scientific data

This page only lists publications with an associated author ORCID identifier.

Publications

Lei Hu, Xiangyu Guo, Da-Wei Zhou, Zhen Wang, Lisong Dai, Liang Li, Tian Zhang, Haining Long, Chengxin Yu, Zhen-Wei Shi, Chu Han, Cheng Lu, Jun Gong Zhao, Yuehua Li, Yun-Fei Zha, Zaiyi Liu
Development and Validation of a Deep Learning Model to Reduce the Interference of Rectal Artifacts in MRI-based Prostate Cancer Diagnosis. Radiology. Artificial intelligence (2024)
Guanchao Ye, Guangyao Wu, Yu Qi, Kuo Li, Mingliang Wang, Chunyang Zhang, Feng Li, Leonard Wee, Andre Dekker, Chu Han, Zaiyi Liu, Yongde Liao, Zhen-Wei Shi
Non-invasive multimodal CT deep learning biomarker to predict pathological complete response of non-small cell lung cancer following neoadjuvant immunochemotherapy: a multicenter study. Journal for immunotherapy of cancer 12 (9) (2024)
Lei Hu, Xiangyu Guo, Da-Wei Zhou, Zhen Wang, Lisong Dai, Liang Li, Ying Li, Tian Zhang, Haining Long, Chengxin Yu, Zhen-Wei Shi, Chu Han, Cheng Lu, Jun Gong Zhao, Yuehua Li, Yun-Fei Zha, Zaiyi Liu
Development and Validation of a Deep Learning Model to Reduce the Interference of Rectal Artifacts in MRI-based Prostate Cancer Diagnosis. Radiology. Artificial intelligence 6 (2) (2024)
Lei Hu, Xiangyu Guo, Da-Wei Zhou, Zhen Wang, Lisong Dai, Liang Li, Ying Li, Tian Zhang, Haining Long, Chengxin Yu, Zhen-Wei Shi, Chu Han, Cheng Lu, Jun Gong Zhao, Yuehua Li, Yun-Fei Zha, Zaiyi Liu
Development and Validation of a Deep Learning Model to Reduce the Interference of Rectal Artifacts in MRI-based Prostate Cancer Diagnosis. Radiology. Artificial intelligence 6 (2) (2024)
Lei Hu, Xiangyu Guo, Da-Wei Zhou, Zhen Wang, Lisong Dai, Liang Li, Ying Li, Tian Zhang, Haining Long, Chengxin Yu, Zhen-Wei Shi, Chu Han, Cheng Lu, Jun Gong Zhao, Yuehua Li, Yun-Fei Zha, Zaiyi Liu
Development and Validation of a Deep Learning Model to Reduce the Interference of Rectal Artifacts in MRI-based Prostate Cancer Diagnosis. Radiology. Artificial intelligence 6 (2) (2024)
Zhen-Wei Shi, Xiaomei Huang, Ziliang Cheng, Zeyan Xu, Huan Lin, Chen Liu, Xiaobo Chen, Chunling Liu, Changhong Liang, Cheng Lu, Yanfen Cui, Chu Han, Jin-Rong Qu, Jun Shen, Zaiyi Liu
MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer. Radiology 308 (1) (2023)
Zhen-Wei Shi, Zhen Zhang, Zaiyi Liu, Lujun Zhao, Zhaoxiang Ye, Andre Dekker, Leonard Wee
Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent chemoradiotherapy. European journal of nuclear medicine and molecular imaging 49 (8) (2021)
Zhen-Wei Shi, Ivan Zhovannik, Alberto Traverso, Frank J W M Dankers, Timo M Deist, Petros Kalendralis, René Monshouwer, Johan Bussink, Rianne R R Fijten, Hugo J W L Aerts, Andre Dekker, Leonard Wee
Distributed radiomics as a signature validation study using the Personal Health Train infrastructure. Scientific data 6 (1) (2019)