- LIU Qin, Master (2016), “Multi-Atlas Context Forests for Knee MR Image Segmentation”
- ZHANG Lichi, Postdoctoral Research Associate (2016), now Associate Professor in SJTU
- ZHANG Jinpeng, Master (2017), “Cross-Manifold Guidance in Deformable Registration of Brain MR Images”
- WANG Si, Master (2017), “Early Diagnosis of Post-Traumatic Stress Disorder in Motor Vehicle Accidents Survivors by Brain Multimodal Magnetic Resonance Image”
- CHEN Sen, Master (2018), “Structural Neuroimage Tracking of Consciousness Recovery of Secondary Mild Hydrocephalus Patients Prior and Post to Lumbar Drainage”
- LIN Pan, Master (2018), “Reconstruction And Quantification Of Mouse Brain Neurovascular Unit Images After Clarity”
- FENG Jing, Master (2018), “Numerical Simulation Of Limited-View Multi-Source Quantitative Photoacoustic Computed Tomography”
- LIU Luyan, PhD (2019), “Research of Key Techniques in Computer Aided Diagnosis of Gliomas”
- XIANG Lei, PhD (2019), “Deep-Learning-Based Cross-Modality Medical Image Synthesis”
- YU Yakun, Master (2019), “Multi-Atlas Based Classification for Early Prediction of Post-Traumatic Stress Disorder”
- LIU Chang, Master (2019), “Magnetic Resonance Image Analysis with Fine-Granularity for Knee Osteoarthritis”
- REN Xuhua, PhD (2020), “Research on Head Medical Image Segmentation Based on Multi-Task Learning”
- JIAO Yining, Master (2020), “Fast Computation and Clinical Applications of Radiomics Features”
- Oihane Mayo Ijurra, Master (2020), “ConvRadiomics: Convolutional Radiomics Feature Extraction Toolkit”
- Mar Hernández Obiols, Master (2020), “Can Radiomic Features Boost the Performance of Deep Learning upon Histology Images?”
- WEI Dongming, PhD (2021), “Research on Generative Model Based Medical Image Registration”
- HUO Jiayu, Master (2021), “Research and Implementation of Image Diagnosis Algorithm for Patients with Brain Injury”
- ZHOU Ming, Master (2021), “Diagnosis of Cervical Cancer: Screening Cases Based on Deep Learning”
- CHEN Shuo, Master (2021), “Compressed Sensing MRI Reconstruction Based on GAN and Data Consistency in Latent Space”
- XIAO Bin, PhD Candidate
- XUAN Kai, PhD Candidate
- GUO Yuyu, PhD Candidate
- OUYANG Xi, PhD Candidate
- CHEN Liyun, PhD Candidate
- NIU Jingyang, PhD Candidate
- TAO Haoyi
- LIN Heng
- SHEN Wenjun
- WANG Zhuochen
- QIAO Yuanfang
- DU Xiaping
- YAO Linlin, PhD Candidate
- WANG Sheng, PhD Candidate
- ZHUANG Zixu, PhD Candidate
- ZHANG Xin
- LIU Mengjun, PhD Candidate
- SHEN Zhenrong, PhD Candidate
- WANG Xin
- XIONG Honglin
- CAO Maosong
- TIAN Chang
- ZHANG Zebing