Highlights
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MIC 🏥
Repository for the paper titled "Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding"
[ECCV 2024] ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Medical Image
Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.
[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
Flax is a neural network library for JAX that is designed for flexibility.
SSG-VQA is a Visual Question Answering (VQA) dataset on laparoscopic videos providing diverse, geometrically grounded, unbiased and surgical action-oriented queries generated using scene graphs.
panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps
A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
The official website for uniGradICON: A Foundation Model for Medical Image Registration
A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸
Light and Optimal Schrödinger Bridge Matching (ICML 2024) official PyTorch implementation=
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
3D Slicer extension for Segment Anything Model (SAM) developed by Meta
A fast, lightweight 3D viewer for Python based on WGPU
Visualize streams of multimodal data. Fast, easy to use, and simple to integrate. Built in Rust using egui.
Code release for CVPR'24 submission 'OmniGlue'
Python library for loading and using triangular meshes.
A PyTorch Library for Accelerating 3D Deep Learning Research
A collection of utility functions to prototype geometry processing research in python
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.