Longitudinal quantile regression in presence of informative drop-out through longitudinal-survival joint modeling [PDF]
We propose a joint model for a time-to-event outcome and a quantile of a continuous response repeatedly measured over time. The quantile and survival processes are associated via shared latent and manifest variables. Our joint model provides a flexible approach to handle informative drop-out in quantile regression.
arxiv
Dilations of Linear Maps on Vector Spaces [PDF]
We continue the study dilation of linear maps on vector spaces introduced by Bhat, De, and Rakshit. This notion is a variant of vector space dilation introduced by Han, Larson, Liu, and Liu. We derive vector space versions of Wold decomposition, Halmos dilation, N-dilation, inter-twining lifting theorem and a variant of Ando dilation.
arxiv
Echocardiographic profile of patients with cardiomyopathy
Introduction: Cardiomyopathies represent a heterogeneous group of diseases that often lead to progressive heart failure with significant morbidity and mortality. Exact epidemiological data on cardiomyopathy in Nepal are lacking.
Jeevan Khanal+2 more
doaj +1 more source
Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images [PDF]
Segmentation of the heart in cardiac cine MR is clinically used to quantify cardiac function. We propose a fully automatic method for segmentation and disease classification using cardiac cine MR images. A convolutional neural network (CNN) was designed to simultaneously segment the left ventricle (LV), right ventricle (RV) and myocardium in end ...
arxiv
Molecular studies in familial dilated cardiomyopathy – A pilot study
Aim: To study genetic variants in patients of familial dilated cardiomyopathy. Methodology: Patients with reduced ejection fraction of less than 45% and dilated left ventricle are considered to have dilated cardiomyopathy.
Vyom Mori+11 more
doaj
Taurine deficiency and dilated cardiomyopathy in golden retrievers fed commercial diets
Introduction Golden retrievers are over-represented in cases of taurine-deficient dilated cardiomyopathy and recently a surge in cases has prompted further investigation.
J. Kaplan+22 more
semanticscholar +1 more source
Deep learning approach to left ventricular non-compaction measurement [PDF]
Left ventricular non-compaction (LVNC) is a rare cardiomyopathy characterized by abnormal trabeculations in the left ventricle cavity. Although traditional computer vision approaches exist for LVNC diagnosis, deep learning-based tools could not be found in the literature.
arxiv
Nicotinamide Riboside Preserves Cardiac Function in a Mouse Model of Dilated Cardiomyopathy
Background: Myocardial metabolic impairment is a major feature in chronic heart failure. As the major coenzyme in fuel oxidation and oxidative phosphorylation and a substrate for enzymes signaling energy stress and oxidative stress response, nicotinamide
N. Diguet+18 more
semanticscholar +1 more source
Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization [PDF]
Feature tracking Cardiac Magnetic Resonance (CMR) has recently emerged as an area of interest for quantification of regional cardiac function from balanced, steady state free precession (SSFP) cine sequences. However, currently available techniques lack full automation, limiting reproducibility.
arxiv
Dilated cardiomyopathy due to hypocalcaemia: a case report
Background Hypocalcaemia is a rare, but reversible, cause of dilated cardiomyopathy causing heart failure. Several case reports have been reported on reversible cardiomyopathy secondary to hypocalcaemia.
Nilushka Rupasinghe+2 more
doaj +1 more source