NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
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Updated
Jun 20, 2024 - Python
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Segment Source Distribution
Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.
Machine Learning project to predict heart diseases
Code for the analysis of cardiac motion and cardiac pathology classification
This repository implements a robust deep learning method (LFBNet) for medical image segmentation using a two systems approach. Learning fast and slow strategy for robust medical image analysis.
Cardiac Action Potential Prediction (ApPredict) under drug-induced block of ion channels. This is a Chaste extension/bolt-on project.
Project to study sound stimulus synchronous, asynchronous and isochronous with the heartbeat during sleep.
GPU implementation of a Full Search Block Matching Motion Estimation Algorithm
MICCAI 2023 code for the paper: Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis. EchoDiffusion is a collection of video diffusion models trained from scratch on the EchoNet-Dynamic dataset with the imagen-pytorch repo.
A library to calculate parametric maps in MRI. For details see https://doi.org/10.1016/j.softx.2019.100369
cDWI, cDTI, cardiacDTI, design of DWI sequences (SE, STEAM, TRSE), gradient sampling shells, processing helix angle (HA), sheet angle (E2A, SA), transverse angle (TA)
Sussex Psychophysiology Research Protocol (SuPREP)
Learning about elucidating, diagnosing, and treating the electrical activities of the heart
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
Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction
Exercise Physiology Equations
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