Imaging modalities to diagnose carotid artery stenosis: progress and prospect

A Saxena, EYK Ng, ST Lim - Biomedical engineering online, 2019‏ - Springer
In the past few decades, imaging has been developed to a high level of sophistication.
Improvements from one-dimension (1D) to 2D images, and from 2D images to 3D models …

Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: A narrative review for stroke application

L Saba, SS Sanagala, SK Gupta… - Annals of …, 2021‏ - pmc.ncbi.nlm.nih.gov
Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality in the
United States of America and globally. Carotid arterial plaque, a cause and also a marker of …

Thrombus NET content is associated with clinical outcome in stroke and myocardial infarction

J Novotny, P Oberdieck, A Titova, J Pelisek… - Neurology, 2020‏ - neurology.org
Objective To investigate whether immune cell composition and content of neutrophil
extracellular traps (NETs) in relation to clinical outcome are different between acute …

[PDF][PDF] Future of artificial intelligence in surgery: a narrative review

A Amin, SA Cardoso, J Suyambu, HA Saboor… - Cureus, 2024‏ - cureus.com
Artificial intelligence (AI) is the capability of a machine to execute cognitive processes that
are typically considered to be functions of the human brain. It is the study of algorithms that …

Deep morphology aided diagnosis network for segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black‐blood vessel wall MRI

J Wu, J **n, X Yang, J Sun, D Xu, N Zheng… - Medical …, 2019‏ - Wiley Online Library
Purpose Early detection of carotid atherosclerosis on the vessel wall (VW) magnetic
resonance imaging (MRI)(VW‐MRI) images can prevent the progression of cardiovascular …

Fundamentals in artificial intelligence for vascular surgeons

J Raffort, C Adam, M Carrier, F Lareyre - Annals of vascular surgery, 2020‏ - Elsevier
Artificial intelligence (AI) corresponds to a broad discipline that aims to design systems,
which display properties of human intelligence. While it has led to many advances and …

Using temporal and structural data to reconstruct 3D cerebral vasculature from a pair of 2D digital subtraction angiography sequences

S Frisken, N Haouchine, R Du, AJ Golby - Computerized Medical Imaging …, 2022‏ - Elsevier
Purpose The purpose of this work is to present a new method for reconstructing patient-
specific three-dimensional (3D) vasculature of the brain from a pair of digital subtraction …

A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging

VD Tsakanikas, PK Siogkas… - 2020 42nd Annual …, 2020‏ - ieeexplore.ieee.org
The scope of this paper is to present a new carotid vessel segmentation algorithm
implementing the U-net based convolutional neural network architecture. With carotid …

UR-CARA-Net: a cascaded framework with uncertainty regularization for automated segmentation of carotid arteries on black blood MR images

E Lavrova, Z Salahuddin, HC Woodruff… - Ieee …, 2023‏ - ieeexplore.ieee.org
We present a fully automated method for carotid artery (CA) outer wall segmentation in black
blood MRI using partially annotated data and compare it to the state-of-the-art reference …

Segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black blood magnetic resonance imaging with multi‐task learning

J Wu, J **n, X Yang, LA Matkovic, X Zhao… - Medical …, 2024‏ - Wiley Online Library
Background Atherosclerotic cardiovascular disease is the leading cause of death worldwide.
Early detection of carotid atherosclerosis can prevent the progression of cardiovascular …