[HTML][HTML] Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: A narrative review for stroke application
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 …
United States of America and globally. Carotid arterial plaque, a cause and also a marker of …
Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound
The automated and accurate carotid plaque segmentation in B-mode ultrasound (US) is an
essential part of stroke risk stratification. Previous segmented methods used AtheroEdge™ …
essential part of stroke risk stratification. Previous segmented methods used AtheroEdge™ …
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A …
Abstract Background COVLIAS 1.0: an automated lung segmentation was designed for
COVID-19 diagnosis. It has issues related to storage space and speed. This study shows …
COVID-19 diagnosis. It has issues related to storage space and speed. This study shows …
[HTML][HTML] Contrast-Enhanced Ultrasound Feasibility in Assessing Carotid Plaque Vulnerability—Narrative Review
E Kopyto, M Czeczelewski, E Mikos, K Stępniak… - Journal of Clinical …, 2023 - mdpi.com
The risk assessment for carotid atherosclerotic lesions involves not only determining the
degree of stenosis but also plaque morphology and its composition. Recently, carotid …
degree of stenosis but also plaque morphology and its composition. Recently, carotid …
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework
SS Skandha, A Nicolaides, SK Gupta… - Computers in biology …, 2022 - Elsevier
Background Early and automated detection of carotid plaques prevents strokes, which are
the second leading cause of death worldwide according to the World Health Organization …
the second leading cause of death worldwide according to the World Health Organization …
[HTML][HTML] Ensemble deep learning derived from transfer learning for classification of COVID-19 patients on hybrid deep-learning-based lung segmentation: a data …
AK Dubey, GL Chabert, A Carriero, A Pasche… - Diagnostics, 2023 - mdpi.com
Background and motivation: Lung computed tomography (CT) techniques are high-
resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease …
resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease …
[HTML][HTML] COVLIAS 2.0-cXAI: Cloud-based explainable deep learning system for COVID-19 lesion localization in computed tomography scans
Background: The previous COVID-19 lung diagnosis system lacks both scientific validation
and the role of explainable artificial intelligence (AI) for understanding lesion localization …
and the role of explainable artificial intelligence (AI) for understanding lesion localization …
[HTML][HTML] Multicenter study on COVID-19 lung computed tomography segmentation with varying glass ground opacities using unseen deep learning artificial …
Variations in COVID-19 lesions such as glass ground opacities (GGO), consolidations, and
crazy paving can compromise the ability of solo-deep learning (SDL) or hybrid-deep …
crazy paving can compromise the ability of solo-deep learning (SDL) or hybrid-deep …
[HTML][HTML] The utility of ultrasound and computed tomography in the assessment of carotid artery plaque vulnerability–A mini review
A Singh, U Nasir, J Segal, TA Waheed… - Frontiers in …, 2022 - frontiersin.org
As the burden of cardiovascular and cerebrovascular events continue to increase, emerging
evidence supports the concept of plaque vulnerability as a stronger marker of plaque rupture …
evidence supports the concept of plaque vulnerability as a stronger marker of plaque rupture …
Reassessing the carotid artery plaque “rim sign” on CTA: a new analysis with histopathologic confirmation
BACKGROUND AND PURPOSE: The CTA “rim sign” has been proposed as an imaging
marker of intraplaque hemorrhage in carotid plaques. This study sought to investigate such …
marker of intraplaque hemorrhage in carotid plaques. This study sought to investigate such …