4 citations · 4 across the 4 of their papers we have counts for
6 papers
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…