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

CartiMorph: a framework for knee articular cartilage morphometrics

A toolbox for automated knee cartilage morphometrics.

Fitting code for the Multiple-Echo Steady-State MRI sequence

An Efficient, High-Quality 3D Segmentation for Medical Image Analysis with Constrained Computational Resources

Master programming by recreating your favorite technologies from scratch.

Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.

Repository for the Stanford Knee MRI Multi-Task Evaluation (SKM-TEA) Dataset

This extension aims to provide a GUI for a deep-learning automated teeth segmentation tool that we developed at the University of North Carolina in Chapel Hill.

Distributed Evolutionary Algorithms in Python

Quantitative MRI Made Easy with qMRLab: MRI software for data Simulation, analysis and visualization

The Fatigue Impairment Prediction Suite. An R package for running biomathematical models of fatigue.

Recent Transformer-based CV and related works.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Medical Image Segmentation using Squeeze-and-Expansion Transformers

A collection of papers about Transformer in the field of medical image analysis.

MONAI Tutorials

Learn how to responsibly deliver value with ML.

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Material for learning and practicing the technique of multi-objective optimisation

An AI-powered open-source medical image analysis toolbox

Subchondral bone length in knee osteoarthritis: A deep learning driven imaging measure and its association with radiographic and clinical outcomes

Repository containing notebooks of my posts on Medium

Comprehensive Python Cheatsheet