qurAI

calcium-scoring

cardiacSegmentationCCTA

Code for training and inference of a 3D CNN for whole-heart segmentation in CCTA

airogs-example-algorithm

Example code for making an inference algorithm for the AIROGS challenge

barrett_gland_grading

SuperResolution_aniso_MRI

Autoencoding of low-resolution MRI for Super-Resolution of anisotropic MRI

FanCNN

Code accompanying the paper 'Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction using Mesh Priors' (IEEE-TMI)

airogs-evaluation

CACscoringUsingDomainAdaptation

ubix-for-reliable-classification

UBIX is a method to improve the generalizability of classification models, by introducing built-in robustness to dataset-specific (out-of-distribution) artifacts, without requiring any additional training (supervised or unsupervised) on data with such artifacts.

bobnet

PyTorch implementation of the Bounding Box Network (BoBNet) from the ConvNet-Based Localization of Anatomical Structures in 3D Medical Images paper.

qurAI-amsterdam/stochastic-coteaching

Repository for paper on stochastic co-teaching

qurAI-amsterdam/ubix-for-reliable-classification

UBIX is a method to improve the generalizability of classification models, by introducing built-in robustness to dataset-specific (out-of-distribution) artifacts, without requiring any additional training (supervised or unsupervised) on data with such artifacts.

qurAI-amsterdam/bobnet

PyTorch implementation of the Bounding Box Network (BoBNet) from the ConvNet-Based Localization of Anatomical Structures in 3D Medical Images paper.

qurAI-amsterdam/CNNTracker

Code accompanying the paper 'Coronary Artery Centerline Extraction in Cardiac CT Angiography Using a CNN-Based Orientation Classifier' (Medical Image Analysis)

qurAI-amsterdam/FanCNN

Code accompanying the paper 'Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction using Mesh Priors' (IEEE-TMI)

qurAI-amsterdam/cycle_consistent_INR

Code accompanying the 2023 paper 'Robust deformable image registration using cycle-consistent implicit representations' (IEEE Transactions on Medical Imaging)

qurAI-amsterdam/temporally-consistent-echosegmentation

This repository hosts the code of the paper "Temporally consistent segmentations from sparsely labeled echocardiograms using image registration for pseudo-label generation", presented in the ASMUS workshop of MICCAI 2023.

qurAI-amsterdam/ContrastGAN

Code for the MIDL 2023 paper: "Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints"

qurAI-amsterdam/tangent_INR_registration_3D

Code accompanying the 2023 MIDL paper 'Deformable Image Registration with Geometry-informed Implicit Neural Representations'

qurAI-amsterdam/barrett_gland_grading

qurAI-amsterdam/calcium-scoring

qurAI-amsterdam/SuperResolution_aniso_MRI

Autoencoding of low-resolution MRI for Super-Resolution of anisotropic MRI

qurAI-amsterdam/CACscoringUsingDomainAdaptation

qurAI-amsterdam/ensemble-knowledge-distillation

qurAI-amsterdam/cardiacSegmentationCCTA

Code for training and inference of a 3D CNN for whole-heart segmentation in CCTA

qurAI-amsterdam/airogs-example-algorithm

Example code for making an inference algorithm for the AIROGS challenge

qurAI-amsterdam/airogs-evaluation