qurAI
An interfaculty group embedded in UvA and AMC. Our mission is to enhance patient care by designing and enabling leading edge AI technologies in healthcare.
Pinned Repositories
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's Repositories
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