JoaoSantinha

HandsOnAIJPR2022

Hands On Inteligência Artificial em Radiologia JPR 2022

Lifelong-nnUNet

nnUNet

medicaldetectiontoolkit

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 dealing with medical images.

HD-BET

MRI brain extraction tool

RegRCNN

This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MIC-DKFZ/medicaldetectiontoolkit with regression capabilites.

nnDetection

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 were used to develop and evaluate the performance of the proposed method.

BodyPartRegression

MammoFL

OMOPOmics

Patient 'omics data in OMOP format

lmtp

:package: Non-parametric Causal Effects Based on Modified Treatment Policies :crystal_ball:

Mirai

This repository was used to develop Mirai, the risk model described in: Towards Robust Mammography-Based Models for Breast Cancer Risk.

OncoServe_Public

Sharing Deep Learning Models for Breast Cancer Risk

dicom-web-downloader

Script to download studies from a DICOMweb server, given their Study Instance UIDs.

Fuzzy-Pacs

Fuzzy Matching of PACS Data with HIS/RIS Data

clinical-explainability-failure-paper

Clinical Explainability Failure (CEF) & Explainability Failure Rate (EFR) – changing the way we validate classification algorithms?

precision-medicine-toolbox

Precision medicine toolbox

fairlearn

A Python package to assess and improve fairness of machine learning models.

MedTagger

A collaborative framework for annotating medical datasets using crowdsourcing.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

ACS

Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

Intro-to-MRI

This is Jupyter notebook/python code developed for a UW-Madison introductory MRI class.

multimedia-report

Project for building multi-media reports for medical imaging

Tempo

Code for "Optimizing risk-based breast cancer screening policies with reinforcement learning"

direct

Deep learning framework for MRI reconstruction

multiloss_ensemble_models

The code proposes various novel loss functions to train the DL models and construct their ensembles to improve performance in a class-imbalanced multiclass classification task using chest radiographs

domain_adapation_istn

Adversarially training Image and Spatial Transformer Networks to perform Domain Adapation

pyraug

Data Augmentation with Variational Autoencoders (TPAMI)

AI-Deep-Learning-Lab-2021

Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021