Deep learning applications for acute stroke management
IR Chavva, AL Crawford, MH Mazurek… - Annals of …, 2022 - Wiley Online Library
Brain imaging is essential to the clinical care of patients with stroke, a leading cause of
disability and death worldwide. Whereas advanced neuroimaging techniques offer …
disability and death worldwide. Whereas advanced neuroimaging techniques offer …
A U-Net deep learning framework for high performance vessel segmentation in patients with cerebrovascular disease
Brain vessel status is a promising biomarker for better prevention and treatment in
cerebrovascular disease. However, classic rule-based vessel segmentation algorithms need …
cerebrovascular disease. However, classic rule-based vessel segmentation algorithms need …
Rapid vessel segmentation and reconstruction of head and neck angiograms using 3D convolutional neural network
F Fu, J Wei, M Zhang, F Yu, Y Xiao, D Rong… - Nature …, 2020 - nature.com
The computed tomography angiography (CTA) postprocessing manually recognized by
technologists is extremely labor intensive and error prone. We propose an artificial …
technologists is extremely labor intensive and error prone. We propose an artificial …
BRAVE-NET: fully automated arterial brain vessel segmentation in patients with cerebrovascular disease
Introduction: Arterial brain vessel assessment is crucial for the diagnostic process in patients
with cerebrovascular disease. Non-invasive neuroimaging techniques, such as time-of-flight …
with cerebrovascular disease. Non-invasive neuroimaging techniques, such as time-of-flight …
Artificial Intelligence-assisted chest x-ray for the diagnosis of COVID-19: a systematic review and meta-analysis
IS Tzeng, PC Hsieh, WL Su, TH Hsieh, SC Chang - Diagnostics, 2023 - mdpi.com
Because it is an accessible and routine image test, medical personnel commonly use a
chest X-ray for COVID-19 infections. Artificial intelligence (AI) is now widely applied to …
chest X-ray for COVID-19 infections. Artificial intelligence (AI) is now widely applied to …
Automatic collateral scoring from 3D CTA images
The collateral score is an important biomarker in decision making for endovascular
treatment (EVT) of patients with ischemic stroke. The existing collateral grading systems are …
treatment (EVT) of patients with ischemic stroke. The existing collateral grading systems are …
[HTML][HTML] Automatic segmentation, feature extraction and comparison of healthy and stroke cerebral vasculature
Accurate segmentation of cerebral vasculature and a quantitative assessment of its
morphology is critical to various diagnostic and therapeutic purposes and is pertinent to …
morphology is critical to various diagnostic and therapeutic purposes and is pertinent to …
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 …
Robust inhibition-augmented operator for delineation of curvilinear structures
N Strisciuglio, G Azzopardi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Delineation of curvilinear structures in images is an important basic step of several image
processing applications, such as segmentation of roads or rivers in aerial images, vessels or …
processing applications, such as segmentation of roads or rivers in aerial images, vessels or …
Automatic collateral circulation scoring in ischemic stroke using 4D CT angiography with low-rank and sparse matrix decomposition
Purpose Sufficient collateral blood supply is crucial for favorable outcomes with
endovascular treatment. The current practice of collateral scoring relies on visual inspection …
endovascular treatment. The current practice of collateral scoring relies on visual inspection …