Stars
[NeurIPS 2025] Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging
U-VLM: Hierarchical Vision Language Modeling for Report Generation
Implementation of Implicit Reparameterization Trick
A simple tool for viewing 3D medical images in a jupyter notebook
Kalman filter and extensions on PyTorch
[CVPR 2026] This repo contains the code and models of SPECTRE: Self-Supervised & Cross-Modal Pretraining for CT Representation Extraction.
Towards Scalable Language-Image Pre-training for 3D Medical Imaging [TMLR 2026]
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding
[NeurIPS 2025] Mamba Goes HoME: Hierarchical Mixture-of-Experts for 3D Medical Image Segmentation
🏆1st place in the PANORAMA challenge (early detection of PDAC on contrast-enhanced CT)
A comprehensive review of techniques to address the missing-modality problem for medical images
Next-generation Albumentations: dual-licensed for open-source and commercial use
[MICCAI 2024] Centerline Boundary Dice Loss for Vascular Segmentation
"Automated detection of aortic dissections (AD) from CT scans using deep segmentation and optimized thresholding. Applicable in emergency clinical settings, for research purposes only."
Python Data Science Handbook: full text in Jupyter Notebooks
An open access book on scientific visualization using python and matplotlib
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Simple and clean template for m1p research project
[ICLR 2024 oral; top 1.2%] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)