Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel
morphology changes are associated with numerous pathologies. Still, precise segmentation …
morphology changes are associated with numerous pathologies. Still, precise segmentation …
Physics-informed neural networks for brain hemodynamic predictions using medical imaging
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 …
various cerebrovascular diseases. In this work, we put forth a physics-informed deep …
Deep Learning for 3D Vascular Segmentation in Phase Contrast Tomography
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel
morphology changes are associated with numerous pathologies. Still, precise segmentation …
morphology changes are associated with numerous pathologies. Still, precise segmentation …
Brain stroke classification and segmentation using encoder-decoder based deep convolutional neural networks
Accurate diagnosis of brain stroke, classification and segmentation of the stroke are
extremely important for physicians to focus on specific points of the brain and apply the right …
extremely important for physicians to focus on specific points of the brain and apply the right …
[HTML][HTML] A dynamic multiscale model of cerebral blood flow and autoregulation in the microvasculature
A Daher, S Payne - Applied Mathematical Modelling, 2023 - Elsevier
Abstract Models of the micro-circulatory blood flow in the brain can play a key role in
understanding the variety of cerebrovascular diseases that occur in the microvasculature …
understanding the variety of cerebrovascular diseases that occur in the microvasculature …
[HTML][HTML] A network-based model of dynamic cerebral autoregulation
A Daher, S Payne - Microvascular Research, 2023 - Elsevier
Cerebrovascular diseases continue to be one of the leading causes of morbidity and
mortality in humans. Abnormalities in dynamic cerebral autoregulation (dCA) have been …
mortality in humans. Abnormalities in dynamic cerebral autoregulation (dCA) have been …
Multi-scale knowledge transfer vision transformer for 3D vessel shape segmentation
MJ Hua, J Wu, Z Zhong - Computers & Graphics, 2024 - Elsevier
In order to facilitate the robust and precise 3D vessel shape extraction and quantification
from in-vivo Magnetic Resonance Imaging (MRI), this paper presents a novel multi-scale …
from in-vivo Magnetic Resonance Imaging (MRI), this paper presents a novel multi-scale …
A dataset of rodent cerebrovasculature from in vivo multiphoton fluorescence microscopy imaging
We present MiniVess, the first annotated dataset of rodent cerebrovasculature, acquired
using two-photon fluorescence microscopy. MiniVess consists of 70 3D image volumes with …
using two-photon fluorescence microscopy. MiniVess consists of 70 3D image volumes with …
Simulation of image-guided microwave ablation therapy using a digital twin computational model
F Servin, JA Collins, JS Heiselman… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Emerging computational tools such as healthcare digital twin modeling are enabling the
creation of patient-specific surgical planning, including microwave ablation to treat primary …
creation of patient-specific surgical planning, including microwave ablation to treat primary …
Mapping physiological and pathological functions of cortical vasculature through aggregation-induced emission nanoprobes assisted quantitative, in vivo NIR-II …
Cerebrovascular disease includes all disorders that affect cerebrovascular and cerebral
circulation. Unfortunately, there is currently a lack of a systematic method to image blood …
circulation. Unfortunately, there is currently a lack of a systematic method to image blood …