[HTML][HTML] The role of vascular biomarkers for primary and secondary prevention. A position paper from the European Society of Cardiology Working Group on …

C Vlachopoulos, P Xaplanteris, V Aboyans… - Atherosclerosis, 2015 - Elsevier
While risk scores are invaluable tools for adapted preventive strategies, a significant gap
exists between predicted and actual event rates. Additional tools to further stratify the risk of …

A review on joint carotid intima-media thickness and plaque area measurement in ultrasound for cardiovascular/stroke risk monitoring: artificial intelligence framework

M Biswas, L Saba, T Omerzu, AM Johri… - Journal of digital …, 2021 - Springer
Cardiovascular diseases (CVDs) are the top ten leading causes of death worldwide.
Atherosclerosis disease in the arteries is the main cause of the CVD, leading to myocardial …

Attention-based UNet deep learning model for plaque segmentation in carotid ultrasound for stroke risk stratification: an artificial intelligence paradigm

PK Jain, A Dubey, L Saba, NN Khanna… - Journal of …, 2022 - mdpi.com
Stroke and cardiovascular diseases (CVD) significantly affect the world population. The
early detection of such events may prevent the burden of death and costly surgery …

Unseen artificial intelligence—Deep learning paradigm for segmentation of low atherosclerotic plaque in carotid ultrasound: A multicenter cardiovascular study

PK Jain, N Sharma, L Saba, KI Paraskevas, MK Kalra… - Diagnostics, 2021 - mdpi.com
Background: The early detection of carotid wall plaque is recommended in the prevention of
cardiovascular disease (CVD) in moderate-risk patients. Previous techniques for B-mode …

COVLIAS 1.0: lung segmentation in COVID-19 computed tomography scans using hybrid deep learning artificial intelligence models

JS Suri, S Agarwal, R Pathak, V Ketireddy, M Columbu… - Diagnostics, 2021 - mdpi.com
Background: COVID-19 lung segmentation using Computed Tomography (CT) scans is
important for the diagnosis of lung severity. The process of automated lung segmentation is …

[HTML][HTML] Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models

A Jamthikar, D Gupta, L Saba, NN Khanna… - Cardiovascular …, 2020 - ncbi.nlm.nih.gov
Background Statistically derived cardiovascular risk calculators (CVRC) that use
conventional risk factors, generally underestimate or overestimate the risk of cardiovascular …

Deep learning strategy for accurate carotid intima-media thickness measurement: an ultrasound study on Japanese diabetic cohort

M Biswas, V Kuppili, T Araki, DR Edla, EC Godia… - Computers in biology …, 2018 - Elsevier
Motivation The carotid intima-media thickness (cIMT) is an important biomarker for
cardiovascular diseases and stroke monitoring. This study presents an intelligence-based …

Two-stage artificial intelligence model for jointly measurement of atherosclerotic wall thickness and plaque burden in carotid ultrasound: A screening tool for …

M Biswas, L Saba, S Chakrabartty, NN Khanna… - Computers in biology …, 2020 - Elsevier
Motivation The early screening of cardiovascular diseases (CVD) can lead to effective
treatment. Thus, accurate and reliable atherosclerotic carotid wall detection and plaque …

Cardiovascular risk stratification in diabetic retinopathy via atherosclerotic pathway in COVID-19/non-COVID-19 frameworks using artificial intelligence paradigm: a …

S Munjral, M Maindarkar, P Ahluwalia, A Puvvula… - Diagnostics, 2022 - mdpi.com
Diabetes is one of the main causes of the rising cases of blindness in adults. This
microvascular complication of diabetes is termed diabetic retinopathy (DR) and is …

Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media …

KM Meiburger, F Marzola, G Zahnd, F Faita… - Computers in biology …, 2022 - Elsevier
After publishing an in-depth study that analyzed the ability of computerized methods to assist
or replace human experts in obtaining carotid intima-media thickness (CIMT) measurements …