Stars
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography
[MIDL 2025] Chest-OMDL: Organ-specific Multidisease Detection and Localization in Chest Computed Tomography using Weakly Supervised Deep Learning from Free-text Radiology Report
Open-source Multi-agent Poster Generation from Papers
Latex template for the MIDL Conference
An application that leverages large language models to extract structured information from any type of text reports.
搜集免费的LLM（大语言模型）API（GPT、Claude、BingCopilot、Llama、Gemini）
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Unsupervised Fetal Brain MRI Quality Control based on Slice-level Orientation Prediction Uncertainty using an Orientation Recognition KAN Model
Document Information Extraction & Anonymization using local LLMs
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI - Haoran Dou
BMAD hold a Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
⏰ AI conference deadline countdowns
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding (ICLR 2025)
Official repository of FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis
Utilities for fetal brain reconstruction pipelines
FetalSynthSeg Code
[arXiv Preprint] Official PyTorch Implementation of "Self2Self+: Single-Image Denoising with Self-Supervised Learning and Image Quality Assessment Loss"
A deep-learning library for denoising images using Noise2Void and friends (CARE, PN2V, HDN etc.), with a focus on user-experience and documentation.)