[CVPR 2024] WaveMo: Learning Wavefront Modulations to See Through Scattering

[CVPR 2025] Official Repo of Paper "FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification"

[TPAMI 2025] Large-Scale 3D Medical Image Pre-training with Geometric Context Priors

AttriMIL for Whole-Slide Pathological Image Analysis

PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"

A collection of Medical MCP servers.

Source code for SIGGRAPH25 DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data

PyTorch implementation of JiT https://arxiv.org/abs/2511.13720

Free-Text Promptable Universal 3D Medical Image Segmentation

The repository is for the MG-3D

Official Repo for ISBI submission RadDiagSeg-M

[CVPR 2025] The official implementation of "Distilled Prompt Learning for Incomplete Multimodal Survival Prediction".

A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding

[ICCV 2025] Dataset of 10,135 CT scans with 15,130 tumors annotated across six organs and 5,893 controls. The AI ranks first in Medical Segmentation Decathlon (MSD).

Official Code for "Large-scale Self-supervised Video Foundation Model for Intelligent Surgery"

This project is the official implementation of 'DreamOmni2: Multimodal Instruction-based Editing and Generation''

U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking

[Nature Communications 2025] Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition

Qi Chen homepage

My resources

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Official code for [MICCAI 2025] Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation

The official implementation for the 1st-place winner solution of GRSS DFC 2025 track1 'All Wheather Land Cover Mapping'

[NeurIPS 2025] DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response