Video Stabilization for Cardiac-MRI
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Updated
Feb 22, 2017 - MATLAB
Video Stabilization for Cardiac-MRI
Machine Learning project to predict heart diseases
GPU implementation of a Full Search Block Matching Motion Estimation Algorithm
This is an implementation of unsupervised multiple kernel learning (U-MKL) for dimensionality reduction, which builds upon a supervised MKL technique by Lin et al (10.1109/TPAMI.2010.183).
Study for trends in management and outcome for Acute Aortic Dissection 2007 - 2015 US NIS HUCP Data
EZ-Spiral and Matlab code to reproduce computations in [Sandstede & Scheel (2020)].
This a reaction-diffusion PDE solver in 3D implemented with C/C++/CUDA and OpenGL interoperability. In addition, the media has rotational anisotropy to account for the tissue fiber effects.
cDWI, cDTI, cardiacDTI, design of DWI sequences (SE, STEAM, TRSE), gradient sampling shells, processing helix angle (HA), sheet angle (E2A, SA), transverse angle (TA)
Application of Control Systems in an Artificial Cardiac Pacemaker
An adjointable cardiac mechanics data assimilator.
Reimplementation of CoMA to be used for dimensionality reduction of cardiac meshes.
A library to calculate parametric maps in MRI. For details see https://doi.org/10.1016/j.softx.2019.100369
Adapted version of the Laplace–Dirichlet Rule-Based (LDRB) algorithm for generating ventricular fibers
[Robust cardiac MR image segmentation foundation model] This code contains the most powerful cardiac segmentation model trained from UK biobank dataset with superior performance on out-of-domain datasets. This model can be used out-of-box, and serve as a foundation model for further finetuning
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