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
This repository provides guides, short how-tos, and tutorials to help users access and work with ASTER data.
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
Mobile data collection tool to support field research using Capture Mark Recapture (CMR) methods.
Free, open dataset of NAS hard drives: full specs, verified CMR vs SMR, and real-world Backblaze failure rates (AFR). 100+ drives, JSON + CSV.
Flow Matching-enabled Test-Time Refinement for Unsupervised Cardiac MR Registration
A JavaScript project to automatically manage the recruitment and correspondence of a company with candidates
Desktop data management tool for the Field Day biological research project.
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:
Radiomics Signatures of Cardiovascular Risk Factors in Cardiac MRI: Results From the UK Biobank
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
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