Students Supervised

  • 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
  • SHEN Zhenrong
  • WANG Xin
  • XIONG Honglin
  • CAO Maosong
  • TIAN Chang
  • ZHANG Zebing