Python Library for NASA Earthdata APIs
A Vision Foundation Model for Cine Cardiac Magnetic Resonance Imaging
A decompilation of Colin McRae Rally 2.0 (PC) (2000)
MICCAI 2024: Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images and has been invited for an ORAL presentation (2.7%)🔥 and nominated for the Best Paper Award.
This Github repository contains the reconstruction algorithms for "Motion-robust free-running volumetric cardiovascular MRI" (Arshad et al., 2024). Datasets for in-vivo studies can be found at https://zenodo.org/records/12515230
Unsupervised Domain Adaptation (AX2SAX) for CMR images, Koehler et al. 2021, IEEE TMI
A Clojure(Script) & JavaScript Client for NASA's Common Metadata Repository
Elixir client for Pipedrive's REST API
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
A JavaScript project to automatically manage the recruitment and correspondence of a company with candidates
An end-to-end deep learning solution to perform motion correction (MC) and super-resolution (SR) concurrently in CMR SAX slices. Author: Zhennong Chen, PhD
Radiomics Signatures of Cardiovascular Risk Factors in Cardiac MRI: Results From the UK Biobank
This repository provides guides, short how-tos, and tutorials to help users access and work with ASTER data.
Complete Implementation of Matt Mahoneys paper: "A Proposed Design for Distributed Artificial General Intelligence", Version 2.2. P2P Competitive Message Routing via approximated Kolmogorov Complexity.
Sample Data Files for the open source NASA Common Metadata Repository (CMR)
Official MATLAB implementation of EMORe, a framework for motion-robust 5D cardiac MRI reconstruction presented in DOI: 10.1016/j.jocmr.2024.101509. Sample dataset is available at the link below:
PyTorch code for Automated Cardiac Coverage Assessment in Cardiovascular Magnetic Resonance Imaging using an Explainable Salient Region Detection Model
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