JunMa11/MICCAI-OpenSourcePapers

What it solves

This project addresses the difficulty of finding and accessing open-source code and datasets associated with research papers published at the MICCAI 2026 conference. It centralizes these resources into a single, easy-to-navigate table.

How it works

The project provides a curated list of MICCAI 2026 research papers. For each entry, it links directly to the official paper, the corresponding source code repository, and relevant dataset information where available.

Who it’s for

This repository is designed for medical imaging researchers, data scientists, and developers who want to reproduce results, study state-of-the-art AI models in medical imaging, or leverage existing codebases for their own research.

Highlights

• Direct links to official MICCAI 2026 paper PDFs.
• Links to public code repositories for reproducibility.
• References to specific datasets used in the studies.
• Organized, tabular format for quick searching and comparison.