Python Library for NASA Earthdata APIs
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
PyTorch code for Automated Cardiac Coverage Assessment in Cardiovascular Magnetic Resonance Imaging using an Explainable Salient Region Detection Model
Identifying alterations in the cardiac ventricles using radiomics with an ensemble multi-classifier approach.
MARISSA - Magnetic Resonance Imaging Software for Standardization
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