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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

cadp

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

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

depth-sensor-evaluation

detcyclegan_pytorch

Mutually improved endoscopic image synthesis and landmark detection in unpaired image to image translation Sharan et al. 2021, IEEE JBHI

endovis-ml

Visualization of dataset splits for surgical phase and instrument recognition

fl-multi-modal-dataset-creation

foundation-models-lecture

mfvi-dip-mia

Posterior temperature optimized Bayesian models for inverse problems in medical imaging, Laves et al. (2022), Medical Image Analysis

mvhota

A multi-view higher order tracking accuracy metric to measure temporal and spatial associations in multi-point tracking

suture-detection-pytorch

Point detection through multi-instance deep heatmap regression for sutures in endoscopy, Sharan et al. 2021, IJCARS

vae-tutorial