Lumina-DiMOO - An Open-Sourced Multi-Modal Large Diffusion Language Model

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

A curated collection of papers, datasets, and resources on Scientific Datasets and Large Language Models (LLMs)

Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline

GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI.

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

SAM-Med3D: An Efficient General-purpose Promptable Segmentation Model for 3D Volumetric Medical Image

SAM-Med2D: Bridging the Gap between Natural Image Segmentation and Medical Image Segmentation

Official implementation of SAM-Med2D

The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.

Champion Solution of MICCAI FLARE22 Challenge and FLARE24 Task2 Challenge based on nnU-Net.

ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition (ECCV 2020)

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Awesome Monocular 3D detection

Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)

Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)

【AAAI'2021】MVFNet: Multi-View Fusion Network for Efficient Video Recognition