Stars
Code for MICCAI 2025 early accepted paper: "RSAD: Region-Specific Anomaly Detection in fMRI for Disease Diagnosis".
PyTorch implementation of JiT https://arxiv.org/abs/2511.13720
[BIBM'2024] Improved Self-supervised Monocular Endoscopic Depth Estimation based on Pose Alignment-friendly Dynamic View Selection
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
[MedIA'2025] MonoPCC: Photometric-invariant Cycle Constraint for Monocular Depth Estimation of Endoscopic Images
Soluton for the winning entry of the LDCT-IQA challenge
[AAAI 2025] MonoBox: Tightness-free Box-supervised Polyp Segmentation using Monotonicity Constraint
This repository applies the affine and deformation transformation on the CT scan in the subject space, and register it to the MNI 1mm space
Low rank adaptation for Vision Transformer
The original code for paper "Towards a Holistic Framework for Multimodal LLM in 3D Brain CT Radiology Report Generation"
A qt-based 3D data visualization tool.
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography
official implementation of paper: "CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis via MR-Guided Distillation Learning".
TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)
[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation
[MICCAI 2024 Oral] SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation
Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch
Official implementations of CIRKD: Cross-Image Relational Knowledge Distillation for Semantic Segmentation and implementations on Cityscapes, ADE20K, COCO-Stuff., Pascal VOC and CamVid.
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset