Pinned Loading

1. R-Super R-Super Public

   [MICCAI & MEDIA 2025 Best Paper Award] Learning Segmentation from Radiology Reports

   Python 142 12

2. ModelsGenesis ModelsGenesis Public

   [MICCAI 2019 Young Scientist Award] [MedIA Best Paper Award] Models Genesis: self-supervised pre-training for 3D medical images. Learns transferable representations from unlabeled CT and MRI volume…

   Jupyter Notebook 795 143

3. UNetPlusPlus UNetPlusPlus Public

   [IEEE TMI Best Paper Award] Official Implementation for UNet++

   Python 2.7k 563

4. Touchstone Touchstone Public

   [NeurIPS 2024] Touchstone - Benchmarking AI on 5,172 o.o.d. CT volumes and 9 anatomical structures

   Jupyter Notebook 144 6

5. SuPreM SuPreM Public

   [ICLR 2024 oral; top 1.2%] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)

   Python 436 26

6. PanTS PanTS Public

   [NeurIPS 2025] PanTS: The Pancreatic Tumor Segmentation Dataset. PanTS is a vision-language dataset, which enables development and external evaluation of AI for pancreatic tumor detection, localiza…

   Shell 127 14