MONAI Tutorials

AI Toolkit for Healthcare Imaging

Model Zoo for parameter settings in Elastix, ITKElastix and SimpleElastix

An ITK Python interface to elastix, a toolbox for rigid and nonrigid registration of images

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

Explainable Machine Learning in Survival Analysis

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Reference MATLAB and Python implementations of the RADISTAT algorithm

MRI-based quantitative measure of intra-tumoral heterogeneity in breast cancer

Deep Learning MRI image analysis

Code accompanying the paper "Multimodal fusion of imaging and genomics for lung cancer recurrence prediction" - Vaishnavi Subramanian, Minh N. Do, Tanveer Syeda-Mahmood (ISBI 2020)

A pytorch library for graph and hypergraph computation.

Codes and models for Medical Image Analysis (MIA) 2023 paper. Segment Anything Model for Medical Images?.

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

RadQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) and computed tomography (CT) data.

Early stopping for PyTorch

SincNet is a neural architecture for efficiently processing raw audio samples.

[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)

Code for the "PyTorch for Audio Music Processing" series on The Sound of AI YouTube channel.