Area of research
Radiology, Nuclear Medicine and Imaging · Computer Vision and Pattern Recognition
Research interest
Areas People in Research Focus Areas Projects Funded by RI-IWEAR External Research Projects
Review of Artificial Intelligence in Lung Nodule Risk Assessment
PRIMARY-AI: outcomes-based standards to safeguard primary care in the AI era
HALO: High-frequency enhanced dose-aware diffusion model for arbitrary low-dose PET reconstruction
An Alignment and Imputation Network (AINet) for Breast Cancer Diagnosis With Multimodal Multi-View Ultrasound Images
BrainSMM: Lifespan Brain Segmentation Model With Metadata-Driven Prompt Learning
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Impression Generation on Multi-Institution and Multi-System Data
BrainParc: unified lifespan brain parcellation from structural magnetic resonance images.
Accelerating CEST MRI through complementary undersampling and multi-offset transformer reconstruction.
Development and validation of a fully automated deep learning approach for preoperative HER2 status prediction using multiparametric breast MRI
Uncertainty-guided Iterative Contrastive Fusion for Reliable Survival Prediction in Rectal Cancer
A deep learning system for non-invasive breast cancer diagnosis with multimodal data
An Integrated Automatic Framework for Super-Resolution Reconstruction of Motion-Corrupted Fetal Brain MRI With Prior Anatomical Knowledge
Pancreas Segmentation With Multi-Phase Feature Aggregation and Modality Adaptive Transformer
A content-aware variable-rate framework for pathology learned image compression (PathoLIC)
HCRT: Hybrid network with correlation-aware region transformer for breast tumor segmentation in DCE-MRI
Positional Prompts-Enhanced Brain-Heart-Gut Interactions for Mild Cognitive Impairment Diagnosis
Hierarchical Contrastive Learning for Precise Whole-Body Anatomical Localization in PET/CT Imaging
Semi-Supervised Landmark Tracking in Echocardiography Video via Spatial–Temporal Co-Training and Perception-Aware Attention
Multi-Contrast MRI Super-Resolution in Brain Tumors: Arbitrary-Scale Implicit Sampling and Unsupervised Fine-Tuning
Multitask Deep Learning Model for Liver Segmentation and Lesion Classification from Multisequence MRI
Enhancing Knee Disease Diagnosis via Multi-View Graph Representation With Multi-Task Pre-Training
MGTP: Multi-Granularity Textual Prompts for Low-Dose Brain PET Image Denoising via Adversarial Diffusion Model
Transferring ultrahigh-field representations for intensity-guided brain segmentation of low-field magnetic resonance imaging
uBrainSurf: Unified Curvature-aware Deformation Framework for Lifespan Brain Cortical Surface Reconstruction
AugGPT: Leveraging ChatGPT for Text Data Augmentation
CLIP in medical imaging: A survey
Artificial General Intelligence for Medical Imaging Analysis
Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI
3D MedDiffusion: A 3D Medical Latent Diffusion Model for Controllable and High-Quality Medical Image Generation
An adaptive AI-based virtual reality sports system for adolescents with excess body weight: a randomized controlled trial