Repository associated to the UQinMIA Tutorial @ MICCAI 2023

Slicer extension for aneurysm annotation

MONAI Label is an intelligent open source image labeling and learning tool.

Fine-tuned CamemBERT model for Question answering task

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

Summaries of machine learning papers

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on d…

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that …

Medical Image Segmentation using Squeeze-and-Expansion Transformers

A collection of resources on applications of Transformers in Medical Imaging.

K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is…

Simultaneous Semantic Segmentation and Edge Detection

A handbook for ML built on answers.

Medical imaging toolkit for deep learning

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

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

Jupyter notebooks to help you started with tensorflow 2.0