Artificial Intelligence in Cardiovascular Medicine (AICM)'s repositories
mfvi-dip-mia
Posterior temperature optimized Bayesian models for inverse problems in medical imaging, Laves et al. (2022), Medical Image Analysis
cmr-domain-adaptation
Unsupervised Domain Adaptation (AX2SAX) for CMR images, Koehler et al. 2021, IEEE TMI
cmr-landmark-detection
Semantic Segmentation of CMR with a U-Net based architecture. Implemented in TF2.X. Trainings, prediction and evaluation scripts/notebooks for heatmap based right ventricle insertion point detection on cine CMR images. Koehler et al. 2022, BVM
endovis-ml
Visualization of dataset splits for surgical phase and instrument recognition
suture-detection-pytorch
Point detection through multi-instance deep heatmap regression for sutures in endoscopy, Sharan et al. 2021, IJCARS
adaptor_docker_example
A docker example repository to support participants in creating submissions for the AdaptOR2022 MICCAI Challenge https://www.synapse.org/AdaptOR_Challenge_2022_MICCAI
cmr-phase-detection
Self-supervised method for cardiac phase detection in 4D CMR. Model consists of a deformable registration part, the derivation of the per-voxel deformation angle and a rule-set based on the physiological properties of a contracting ventricle. Implemented in TF2.X. Koehler et al. 2022, STACOM workshop @ MICCAI
detcyclegan_pytorch
Mutually improved endoscopic image synthesis and landmark detection in unpaired image to image translation Sharan et al. 2021, IEEE JBHI
mvhota
A multi-view higher order tracking accuracy metric to measure temporal and spatial associations in multi-point tracking