Alumni

ZHANG Lichi

  • Postdoctoral Research Associate (2016)
  • Now Associate Professor in SJTU

LIU Qin

  • Master (2016), “Multi-Atlas Context Forests for Knee MR Image Segmentation“
  • Now in UNC Chapel Hill

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“
  • Now in Huawei

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“
  • Now in Subtle Medical

YU Yakun

  • Master (2019), “Multi-Atlas Based Classification for Early Prediction of Post-Traumatic Stress Disorder“
  • Now in University of Alberta

LIU Chang

  • Master (2019), “Magnetic Resonance Image Analysis with Fine-Granularity for Knee Osteoarthritis“
  • Now in SenseTime

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“
  • Now in UNC Chapel Hill

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“
  • Now in NIO

HUO Jiayu

  • Master (2021), “Research and Implementation of Image Diagnosis Algorithm for Patients with Brain Injury“
  • Now in King’s College

ZHOU Ming

  • Master (2021), “Diagnosis of Cervical Cancer: Screening Cases Based on Deep Learning“
  • Now in Huawei

CHEN Shuo

  • Master (2021), “Compressed Sensing MRI Reconstruction Based on GAN and Data Consistency in Latent Space“

GUO Yuyu

  • PhD (2022), “Intelligent Segmentation and Motion Estimation of Cardiac 4D-CT Images Based on Deep Learning“

OUYANG Xi

  • PhD (2022), “Research on Interpretable and Annotation-Efficient Learning Methods for Diagnosis and Localization of Thoracic Disease“
  • Now in UII

XUAN Kai

  • PhD (2022), “Deep-Learning-Based Reconstruction and Super-Resolution of Magnetic Resonance Image“
  • Now Lecturer in NUIST

XIAO Bin

  • PhD (2022), “Research on Key Methods of Intelligent Diagnosis of Parkinson’s Disease Based on Quantitative Susceptibility Mapping“
  • Now Lecturer in Ruijin Hospital

NIU Jingyang

  • PhD (2022), “A Batch Effect Calibration Algorithm Based on Deep Learning and its Classification Application in Different Omics Data“

TAO Haoyi

  • Master (2022)

LIN Heng

  • Master (2022)

SHEN Wenjun

  • Master (2022)

WANG Zhuochen

  • Master (2022)

QIAO Yuanfang

  • Master (2022)

DU Xiaping

  • Master (2022)

ZHANG Xin

  • Master (2023), “Research of Whole Slide Cervical Cancer Diagnosis Based on Graph Attention Networks and Contrastive Learning”

WANG Xin

  • Master (2024), “Self-Supervised Framework for Arbitrary-Scale MRI Super-Resolution”

WANG Sheng

  • PhD (2024), “Research on Eye-Tracking Assisted Intelligent Diagnosis Method for Diseases”
  • Now in UPenn

YAO Linlin

  • PhD (2024), “Research on Intelligent Segmentation Algorithm of Vessel and Aneurysm in CT Angiography of the Head and Neck”

CHEN Liyun

  • PhD (2024), “Key Algorithm of Intelligent Lung Cancer Diagnosis System and Its Application”