[MedIA] Paper list and source code for survey "A comprehensive survey on deep active learning in medical image analysis"

[ICLR 2025] This is the official repository of our paper "MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine“

本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

A Comprehensive Toolkit for High-Quality PDF Content Extraction

Official repository for the paper "FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation".

A local chatbot fine-tuned by bilibili user comments.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

The world's largest GitHub Repository for LLMs + Robotics

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

Medical Image Segmentation with Diffusion Model

Review in Deep Learning for Polyp Detection and Classification in Colonoscopy (https://doi.org/10.1016/j.neucom.2020.02.123).

Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"

The open source implementation of Gemini, the model that will "eclipse ChatGPT" by Google

Interactive Data Visualization in the browser, from Python

repository for autoPET machine lerning challenge

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

[MedIA'23] "YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation".

Implementations of recent research prototypes/demonstrations using MONAI.

Code for CRATE (Coding RAte reduction TransformEr).

[MedIA'25] FLAIR: A Foundation LAnguage-Image model of the Retina for fundus image understanding.

The official code for "Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data".

Official repository for the paper "Prototype Representation Joint Learning from Medical Images and Reports, ICCV 2023".

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

[TMI' 23] autoSMIM: Automatic Superpixel-based Masked Image Modeling for Skin Lesion Segmentation

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.