A5035570702- Cardiac Valve Diseases and Treatments
- Cardiovascular Function and Risk Factors
- Congenital Heart Disease Studies
- Cardiac Imaging and Diagnostics
- Infective Endocarditis Diagnosis and Management
- Fluid Dynamics and Turbulent Flows
- Aortic Disease and Treatment Approaches
- Electrospun Nanofibers in Biomedical Applications
- Advanced MRI Techniques and Applications
- Coronary Interventions and Diagnostics
- Cardiac Structural Anomalies and Repair
- Tissue Engineering and Regenerative Medicine
- Cardiac Arrhythmias and Treatments
- Elasticity and Material Modeling
- Cardiomyopathy and Myosin Studies
- Mechanical Circulatory Support Devices
- Cardiovascular Effects of Exercise
- Medical Image Segmentation Techniques
- Mitochondrial Function and Pathology
- Fluid Dynamics and Vibration Analysis
- Pulmonary Hypertension Research and Treatments
- Cardiovascular Health and Disease Prevention
- Fluid dynamics and aerodynamics studies
- Cardiac and Coronary Surgery Techniques
- Advanced Neural Network Applications
University of California, Irvine
2016-2025
Irvine University
2020-2024
Edwards Lifesciences (United States)
2011-2021
Samueli Institute
2021
GTx (United States)
2020
University High School
2018
Eindhoven University of Technology
2016
Medizinische Hochschule Hannover
2016
Aarhus University Hospital
2016
University of California System
2013
Heart disease remains a leading cause of death worldwide. Previous research has indicated that the dynamics cardiac left ventricle (LV) during diastolic filling may play critical role in dictating overall health. Hence, numerous studies have aimed to predict and evaluate global health based on quantitative parameters describing LV function. However, inherent complexity diastole, its electrical, muscular, hemodynamic processes, prevented development tools accurately diagnose heart failure at...
This study aims to accurately segment the right ventricle (RV) from cardiac MRI using a fully automatic learning-based method.The proposed method uses deep learning algorithms, i.e., convolutional neural networks and stacked autoencoders, for detection initial segmentation of RV chamber. The is then combined with deformable models improve accuracy robustness process. We trained our algorithm 16 datasets MICCAI 2012 Segmentation Challenge database validated technique rest dataset (32...
Transcatheter aortic valve replacement has emerged as a promising therapy for treatment of severe stenosis. Although it been shown that these valves can be safely delivered and implanted, studies longevity are lacking because the infancy technology. Particularly, effects stent crimping on valve's leaflets have not yet sufficiently investigated. In this study, we characterized pericardial in time through depth tissue.To test structural changes at surface deep layers bovine leaflets, scanning...
AimsThis study investigated the incremental role of echocardiographic-contrast particle image velocimetry (Echo-PIV) in patients with heart failure (HF) for measuring changes left ventricular (LV) vortex strength (VS) during phases a cardiac cycle.
Background Mitochondrial transplantation has been recently explored for treatment of very ill cardiac patients. However, little is known about the intracellular consequences mitochondrial transplantation. This study aims to assess bioenergetics into normal cardiomyocytes in short and long term. Methods Results We first established feasibility autologous, non‐autologous, interspecies Then we quantitated non‐autologous up 28 days using a Seahorse Extracellular Flux Analyzer. Compared with...
This study's objective is to develop and validate a fast automated 3-D segmentation method for cardiac magnetic resonance imaging (MRI). The algorithm automatically reconstructs MRI DICOM data into model (i.e., direct volumetric segmentation), without relying on prior statistical knowledge.A novel active contour was employed detect the left ventricular cavity in 33 subjects with heterogeneous heart diseases from York University database. Papillary muscles were identified added chamber using...
For the growing patient population with congenital heart disease (CHD), improving clinical workflow, accuracy of diagnosis, and efficiency analyses are considered unmet needs. Cardiovascular magnetic resonance (CMR) imaging offers non-invasive non-ionizing assessment CHD patients. However, although CMR data facilitates reliable analysis cardiac function anatomy, workflow mostly relies on manual images, which is time consuming. Thus, an automated accurate segmentation platform exclusively...
Left: Microscopy images of CB 7.1 (top) and CF (bottom) surfaces show hard domain patterns—CF has elongated lines, while darker circular regions. Right: Live/dead staining reveals more live (green) cells on than 7.1.