Qian Wang
- Professor and Vice Dean, School of Biomedical Engineering, ShanghaiTech University
- Director, Medical Imaging and Informatics Laboratory
PhD Candidate
XIONG Honglin
- Developing MRI Foundation Models: Unifying Contrast Interactions for Universal Medical Image Synthesis and Processing
LI Feng
- Deep Learning-Based Motion Artifact Detection and Correction for Quantitative Quality Assessment in Neuroimaging MRI
GUO Jiayang
- Multimodal Cohort Development and Data Integration for Longitudinal Assessment of Neurodevelopmental Trajectories in Pediatric Populations
WANG Zhixin
- Comprehensive Phenotyping Through Multimodal Biomarker Acquisition and Analysis for Characterization of Neurodevelopmental Patterns in Children
TANG Yuxian
- Comprehensive MRI Quality Enhancement: Unified Framework for Multi-Source Distortion Correction Beyond Motion Artifacts in Neuroimaging
WANG Xinyu
- Deep Learning Foundation Model for fMRI BOLD Signal Encoding: Developing Generalizable Representations for Cross-Subject Analysis and Neurobiological Marker Extraction in Clinical Applications
JIANG Haotian
- Unified Foundation Model for TCT Image Analysis: Integrating Multi-Scale Features for Robust Cervical Cancer Detection and Classification
HUANG Haolin
- Multimodal PET Data Integration and Analysis for Neurodegenerative Disease Assessment: Deep Learning Approaches for Quantitative Biomarker Extraction and Personalized Prognosis Prediction
FAN Fangchenqi
LIU Jiachang
MSc Student
LI Zongyu
- FPGA-Accelerated Surgical Guidance System: Hardware-Optimized Deep Learning Framework for Real-Time Medical Device Integration and Clinical Validation
XU Mengjie
- Computational Modeling of Object Properties and Human-Object Interactions for Cognitive Development Assessment in Pediatric Neurobehavioral Studies
CHEN Yan
- Efficient Generative Modeling Architectures for Medical Imaging: Optimized Frameworks for Clinical-Grade Image Enhancement and Whole-Body Segmentation
LI Jiaming
- Adaptive Human-Machine Interaction System for Clinical Decision Support: Integrating AI-Driven Diagnostic Tools within Established Healthcare Workflows for Enhanced Treatment Planning and Patient Outcomes
SONG Haiyu
- Comprehensive Foundation Models for Musculoskeletal MRI: Integrated Approaches for Multi-Disease Pathology Detection and Progression Modeling Using Transferable Deep Learning Architectures
WU Junlei
- Real-Time Image Quality Preservation in Interactive Clinical Systems: Computational Methods for Addressing Degradation Challenges during Human-Machine Collaborative Diagnosis and Treatment
ZHONG Aocheng
- Advanced Reconstruction and Quality Enhancement Framework for PET-MR Imaging: AI-Driven Techniques for Improved Detection of Neurodegenerative Disease Biomarkers
JIN Yuchen
ZHANG Xingyang
HE Zhexi
XU Jieyu
WU Yang
LI Guangxin
Undergraduate Student
YIN Yuan
ZHOU Jiarui
JIANG Zhuoxin
LIU Yufei