Jiazhou Wang
Fudan University Shanghai Cancer Center(CN)
Publications by Year
Research Areas
Advanced Radiotherapy Techniques, Radiomics and Machine Learning in Medical Imaging, Medical Imaging Techniques and Applications, Head and Neck Cancer Studies, Lung Cancer Diagnosis and Treatment
Most-Cited Works
- → Automatic treatment planning based on three‐dimensional dose distribution predicted from deep learning technique(2018)351 cited
- → Test–Retest Data for Radiomics Feature Stability Analysis: Generalizable or Study-Specific?(2016)197 cited
- → Distributed learning on 20 000+ lung cancer patients – The Personal Health Train(2020)162 cited
- → Direct Evidence of Concurrent Solid-Solution and Two-Phase Reactions and the Nonequilibrium Structural Evolution of LiFePO4(2012)147 cited
- → Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy(2022)122 cited
- → Technical Note: A deep learning‐based autosegmentation of rectal tumors in MR images(2018)104 cited
- → Dosimetric impact of different bladder and rectum filling during prostate cancer radiotherapy(2016)93 cited
- → Reproducibility with repeat CT in radiomics study for rectal cancer(2016)79 cited
- → Radiomic features of pretreatment MRI could identify T stage in patients with rectal cancer: Preliminary findings(2018)74 cited
- → The impact of training sample size on deep learning-based organ auto-segmentation for head-and-neck patients(2021)74 cited