Artificial Intelligence in Cardiovascular Medicine (AICM)

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18 repositories

fl-multi-modal-dataset-creation
Public
Python
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GNU Affero General Public License v3.0
•1•0•0•0•Updated Nov 4, 2024Nov 4, 2024
memorization-ldm
Public
Jupyter Notebook
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GNU General Public License v3.0
•0•0•0•0•Updated Jul 19, 2024Jul 19, 2024
fed-foundation-model-cardiac-ct
Public
Jupyter Notebook
•0•4•0•0•Updated Jul 9, 2024Jul 9, 2024
FUNAvg
Public
Tölle et al. (2024). FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels. MICCAI.
Jupyter Notebook
•1•2•0•0•Updated Jul 8, 2024Jul 8, 2024
endovis-ml
Public
Visualization of dataset splits for surgical phase and instrument recognition
d3 angular data-visualization surgical-tools surgical-video surgical-phase-recognition surgical-data-science
TypeScript
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MIT License
•0•7•1•0•Updated Jun 5, 2024Jun 5, 2024
depth-sensor-evaluation
Public
Python
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GNU General Public License v3.0
•0•0•0•0•Updated Feb 5, 2024Feb 5, 2024
kaapana
Public
Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.
Python
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GNU Affero General Public License v3.0
•45•0•0•0•Updated Aug 22, 2023Aug 22, 2023
foundation-models-lecture
Public
Jupyter Notebook
•0•0•0•0•Updated Jun 12, 2023Jun 12, 2023
cmr-phase-detection
Public
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
deep-learning python3 cardiac cardiac-dynamics cmr self-supervised-learning key-frames-extraction cardiac-motion
Jupyter Notebook
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GNU General Public License v3.0
•3•2•0•0•Updated May 30, 2023May 30, 2023
mvhota
Public
A multi-view higher order tracking accuracy metric to measure temporal and spatial associations in multi-point tracking
sharan ae-cai2022
Python
•0•1•0•0•Updated Jan 27, 2023Jan 27, 2023
detcyclegan_pytorch
Public
Mutually improved endoscopic image synthesis and landmark detection in unpaired image to image translation Sharan et al. 2021, IEEE JBHI
Python
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GNU General Public License v3.0
•0•1•0•0•Updated Oct 7, 2022Oct 7, 2022
cmr-landmark-detection
Public
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
medical-imaging semantic-segmentation evaluation-metrics deep-learning
Jupyter Notebook
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MIT License
•3•5•0•0•Updated Sep 26, 2022Sep 26, 2022
CADP
Public
Jupyter Notebook
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MIT License
•0•0•0•0•Updated Sep 20, 2022Sep 20, 2022
adaptor_docker_example
Public
A docker example repository to support participants in creating submissions for the AdaptOR2022 MICCAI Challenge https://www.synapse.org/AdaptOR_Challenge_2022_MICCAI
miccai docker challenge
Python
•3•2•0•0•Updated May 9, 2022May 9, 2022
suture-detection-pytorch
Public
Point detection through multi-instance deep heatmap regression for sutures in endoscopy, Sharan et al. 2021, IJCARS
Python
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GNU General Public License v3.0
•0•4•0•0•Updated Feb 3, 2022Feb 3, 2022
vae-tutorial
Public
Jupyter Notebook
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MIT License
•0•0•0•0•Updated Jan 17, 2022Jan 17, 2022
mfvi-dip-mia
Public
Posterior temperature optimized Bayesian models for inverse problems in medical imaging, Laves et al. (2022), Medical Image Analysis
Jupyter Notebook
•1•6•1•0•Updated Aug 24, 2021Aug 24, 2021
cmr-domain-adaptation
Public
Unsupervised Domain Adaptation (AX2SAX) for CMR images, Koehler et al. 2021, IEEE TMI
unsupervised-learning domain-adaptation cmr segmentation-models deep-learning tensorflow
Jupyter Notebook
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MIT License
•3•6•0•0•Updated Feb 1, 2021Feb 1, 2021