Starred repositories
[ICCV 2023] A curated list of resources on implicit neural representations in Medical Imaging
A unified framework for 3D content generation.
A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
A list of VLMs tailored for medical RG and VQA; and a list of medical vision-language datasets
The official implementation of Generalizable Implicit Neural Representations with Instance Pattern Composers(CVPR’23 highlight).
A playbook for systematically maximizing the performance of deep learning models.
Source Code for our MICCAI Paper: Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
[ECCV 2024] ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image
My resume in LaTeX (template suited for new graduates; 应届生简历模板)
Implemention of the Paper "MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation"
[CIBM 2024] Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary
Pytorch Implement of Dynamic Snake Convolution (ICCV2023)
Code for Boundary Difference Over Union Loss For Medical Image Segmentation
PyTorch deep learning projects made easy.
A collection of 3D reconstruction papers in the deep learning era.
Iterative Interaction Training for Segmentation Editing Networks
Code for "Segment Anything Model for Medical Image Analysis: an Experimental Study" in Medical Image Analysis
[MICCAI'22] Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis
A python programme that takes as an input any OBJ file with triangular mesh and outputs an voxelized representation of that mesh.
Interactive scribble segmentation for Human-in-the-loop usage
MONAI Label is an intelligent open source image labeling and learning tool.
iSegFormer: Interactive Image/Volume Segmentation using Vision Transformers (MICCAI 2022)
Python implementation of Geometric Dataset Distances via Optimal Transport