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 Stanford University

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 University of North Carolina at 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 London

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”
• Now in Alibaba

OUYANG Xi

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

XUAN Kai

• PhD (2022), “Deep-Learning-Based Reconstruction and Super-Resolution of Magnetic Resonance Image”
• Now Lecturer in Nanjing University of Information Science & Technology

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), “Research on Pulmonary Nodule Detection Based on Anatomical Structure”

LIN Heng

• Master (2022), “CTA Image Processing and Analysis Method for Cerebral Aneurysm”

SHEN Wenjun

• Master (2022), “A Deep Learning Based Method for Registration of Liver DCE-MRI”

WANG Zhuochen

• Master (2022), “Early Prediction of PVL Related Cerebral Palsy in MRI”

QIAO Yuanfang

• Master (2022), “Research on Evaluation Method of Diagnosis and Treatment for Patients with TBI Based on Multimodal Image”

DU Xiaping

• Master (2022), “Research of Accurate Detection of Abnormal Cervical Cancer Cells in TCT Images”

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”
• Now in Johns Hopkins University

WANG Sheng

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

YAO Linlin

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

CHEN Liyun

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

ZHUANG Zixu

• PhD (2024), “Intelligent Diagnosis of Knee Magnetic Resonance Image Based on Graph Representation Learning”
• Now in Mihoyo

CAO Maosong

• Master (2024), “Structural Improvement and Clinical Application Research of Cervical Abnormality Intelligent Screening Model”
• Now in Shanghai AI Lab

ZHANG Zebin

• Master (2024), “Research on Contrast-enhanced CT Image Synthesis and Tumor Area Segmentation Based on Multi-Task Learning”

TIAN Chang

• Master (2024), “Preoperative T-Staging Research of MRI Rectal Cancer Based on Multi-Task Deep Learning”

SHEN Zhenrong

• PhD (2025), “Research on Controllable Medical Image Synthesis Methods for Intelligent Disease Diagnosis”
• Will join University of Manchester

LIU Mengjun

• PhD (2025), “Represeantation Learning of Resting-State fMRI for Intelligent Diagnosis of Brain Diseases”
• Now in PolyU

FANG Yu

• Master (2025), “Magnetic Resonance Imaging Synthesis Techniques Targeting Infant Brain Development”
• Now in SJTU

CAI Jiangdong

• Master (2025), “Research on Key Methods for Intelligent Processing and Diagnosis of Cervical TCT Images”
• Now in Tencent

ZHU Yitao

• Master (2025), “3D Human Reconstruction Method and Application Based on Uncalibrated Multi-view Fusion”
• Now in PolyU

KONG Yan

• Bachelor (2025)