Contexts Optical Compression

[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero

Contexts Optical Compression

Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography

Merlin is a 3D VLM for computed tomography that leverages both structured electronic health records (EHR) and unstructured radiology reports for pretraining.

[MICCAI 2025 Best Paper Award Runner-up] Learning Segmentation from Radiology Reports

This is a medical question-answering system fine-tuned using qwen3, lora and sft

🩻 Whole-body CT segmentation made simple: 22,022 scans, 167 structures, one open solution.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Model Context Protocol Servers

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor…

Using ANTs to process multiple MR image types for a single subject

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

uniGradICON: A Foundation Model for Medical Image Registration (MICCAI 2024)

A 3D Slicer extension for efficient segmentation with nnInteractive.

The official code for "SegVol: Universal and Interactive Volumetric Medical Image Segmentation".

X-SAM: From Segment Anything to Any Segmentation

MRI brain extraction tool

MONAI Model Zoo that hosts models in the MONAI Bundle format.

Reference PyTorch implementation and models for DINOv3

MedSAM2: Segment Anything in 3D Medical Images and Videos

Eigent: The World's First Multi-agent Workforce to Unlock Your Exceptional Productivity.

OmniGen2: Exploration to Advanced Multimodal Generation.

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / LLaMA Factory / veRL/ Swift / Ultra…

A library for performing image registration using deep learning, regularized by inverse consistency

Automated lung segmentation in CT

Collection of awesome medical dataset resources.

MedLSAM: Localize and Segment Anything Model for 3D Medical Images

nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+ diverse 3D datasets, it sets a new stan…

3D Dental surface segmentation with Tooth Group Network