TU/e 8DM50 Machine Learning in Medical Imaging and Biology course materials.

[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.

[CVPR'21] FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2

scikit-learn: machine learning in Python

Julia implementation of QuantEcon routines

A python package for DICOM to NifTi and NifTi to DICOM-SEG and GSPS conversion

AI Toolkit for Healthcare Imaging

TorchXRayVision: A library of chest X-ray datasets and models.

This is a package on various tools in the Odia language.

NVIDIA Federated Learning Application Runtime Environment

The Classical Language Toolkit

Implementations of recent research prototypes/demonstrations using MONAI.

Fast and differentiable MS-SSIM and SSIM for pytorch.

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

Code implementation for FedHarmony (MICCAI 2022)