7 citations · 11 across the 9 of their papers we have counts for
10 papers
Frailty Assessment in Aortic Stenosis based on Dynamic Interconnection between Cardiac and Motor Systems
Patricio Arrué, Kaveh Laksari, Nancy Sweitzer +2
Background: Aortic stenosis (AS) is the most common acquired valvar disease and is associated with increased risk for frailty. Frailty as a geriatric syndrome is associated with mu…
Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression
Shaghayegh Z. Ashtiani, Mohammad Sarabian, Kaveh Laksari +1
Blood flow reconstruction in the vasculature is important for many clinical applications. However, in clinical settings, the available data are often quite limited. For instance, T…
Physics-informed UNets for Discovering Hidden Elasticity in Heterogeneous Materials
Ali Kamali, Kaveh Laksari
Soft biological tissues often have complex mechanical properties due to variation in structural components. In this paper, we develop a novel UNet-based neural network model for in…
Associating Frailty and Dynamic Dysregulation between Motor and Cardiac Autonomic Systems
Patricio Arrué, Kaveh Laksari, Nima Toosizadeh
Frailty is a geriatric syndrome associated with the lack of physiological reserve and consequent adverse outcomes (therapy complications and death) in older adults. Recent research…
Cerebrovascular morphology in aging and disease -- imaging biomarkers for ischemic stroke and Alzheimers disease
Aditi Deshpande, Nitya Kari, Jordan Elliott McKenzie +7
Background and Purpose: Altered brain vasculature is a key phenomenon in several neurologic disorders. This paper presents a quantitative assessment of vascular morphology in healt…
Hyperacute pathophysiology of traumatic and vascular brain injury captured by ultrasound, photoacoustic, and magnetic resonance imaging
Ali Kamali, Laurel Dieckhaus, Emily C. Peters +5
Cerebrovascular dynamics and pathomechanisms that evolve in the minutes and hours following traumatic vascular injury in the brain remain largely unknown. We investigated the patho…
Physics-informed neural networks for improving cerebral hemodynamics predictions
Mohammad Sarabian, Hessam Babaee, Kaveh Laksari
Determining brain hemodynamics plays a critical role in the diagnosis and treatment of various cerebrovascular diseases. In this work, we put forth a physics-informed deep learning…
Low-rank representation of head impact kinematics: A data-driven emulator
Patricio Arrue, Nima Toosizadeh, Hessam Babaee +1
Head motion induced by impacts has been deemed as one of the most important measures in brain injury prediction, given that the majority of brain injury metrics use head kinematics…
Automatic Segmentation, Feature Extraction and Comparison of Healthy and Stroke Cerebral Vasculature
Aditi Deshpande, Nima Jamilpour, Bin Jiang +3
Accurate segmentation of cerebral vasculature and a quantitative assessment of cerebrovascular morphology is critical to various diagnostic and therapeutic purposes and is pertinen…
Multi-directional dynamic model for traumatic brain injury detection
Kaveh Laksari, Michael Fanton, Lyndia C. Wu +13
Traumatic brain injury (TBI) is a complex injury that is hard to predict and diagnose, with many studies focused on associating head kinematics to brain injury risk. Recently, ther…