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Vascular imaging of atherosclerosis: Strengths and weaknesses

Atherosclerosis, 2021-02, Vol.319, p.42-50

2021

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The Essential Autophagy Gene ATG7 Modulates Organ Fibrosis via Regulation of Endothelial-to-Mesenchymal Transition

The Journal of biological chemistry, 2015-01, Vol.290 (5), p.2547-2559

2015

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GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides

Scientific reports, 2024-03, Vol.14 (1), p.7154-26, Article 7154

2024

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A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study

Computers in biology and medicine, 2022-01, Vol.140, p.105102-105102, Article 105102

2022

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Carotid intraplaque neovascularization predicts coronary artery disease and cardiovascular events

European heart journal cardiovascular imaging, 2019-11, Vol.20 (11), p.1239-1247

2019

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Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study

The International Journal of Cardiovascular Imaging, 2021-04, Vol.37 (4), p.1171-1187

2021

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A Call for Non-invasive Tools to Assess Cardiovascular Risk

Journal of the American Society of Echocardiography, 2021-03, Vol.34 (3), p.A11-A12

2021

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Ensemble Machine Learning and Its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome Using Focused Carotid Ultrasound

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-10

2022

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Combined Femoral and Carotid Plaque Burden Identifies Obstructive Coronary Artery Disease in Women

Journal of the American Society of Echocardiography, 2020-01, Vol.33 (1), p.90-100

2020

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Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization

Computers in biology and medicine, 2022-11, Vol.150, p.106018-106018, Article 106018

2022

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Role of artificial intelligence in cardiovascular risk prediction and outcomes: comparison of machine-learning and conventional statistical approaches for the analysis of carotid ultrasound features and intra-plaque neovascularization

The International Journal of Cardiovascular Imaging, 2021-11, Vol.37 (11), p.3145-3156

2021

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A Novel Ultrasound-Based Carotid Plaque Vulnerability Score Is Associated With Long-Term Cardiovascular Outcomes

Journal of the American Society of Echocardiography, 2023-11, Vol.36 (11), p.1217-1219

2023

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MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment

Computerized medical imaging and graphics, 2024-10, Vol.117, p.102437, Article 102437

2024

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Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort

Journal of medical systems, 2020-12, Vol.44 (12), p.208-208, Article 208

2020

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Femoral plaque burden by ultrasound is a better indicator of significant coronary artery disease over ankle brachial index

The International Journal of Cardiovascular Imaging, 2021-10, Vol.37 (10), p.2965-2973

2021

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Handheld versus conventional vascular ultrasound for assessing carotid artery plaque

International journal of cardiology, 2019-03, Vol.278, p.295-299

2019

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The use of ultrasound to assess aortic biomechanics: Implications for aneurysm and dissection

Echocardiography (Mount Kisco, N.Y.), 2020-11, Vol.37 (11), p.1844-1850

2020

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Depressive symptoms and inflammatory markers following acute myocardial infarction: A scoping review

Health sciences review (Oxford, England), 2022-03, Vol.2, p.100020, Article 100020

2022

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CAROTID INTRAPLAQUE NEOVASCULARIZATION IS A BETTER PREDICTOR OF LONG-TERM MAJOR ADVERSE CARDIOVASCULAR EVENTS IN FEMALES THAN MALES

Journal of the American College of Cardiology, 2024-04, Vol.83 (13), p.1419-1419

2024

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Fingerprint of long non-coding RNA regulated by cyclic mechanical stretch in human aortic smooth muscle cells: implications for hypertension

Molecular and cellular biochemistry, 2017-11, Vol.435 (1-2), p.163-173

2017

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UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review

Reviews in cardiovascular medicine, 2024-05, Vol.25 (5), p.184

2024

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A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool

Frontiers in bioscience (Landmark. Print), 2023-10, Vol.28 (10), p.248-248

2023

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Vascular imaging of atherosclerosis: Strengths and weaknesses

The Essential Autophagy Gene ATG7 Modulates Organ Fibrosis via Regulation of Endothelial-to-Mesenchymal Transition

GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides

The Canadian Women’s Heart Health Alliance ATLAS on the Epidemiology, Diagnosis, and Management of Cardiovascular Disease in Women — Chapter 8: Knowledge Gaps and Status of Existing Research Programs in Canada

A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study

Carotid intraplaque neovascularization predicts coronary artery disease and cardiovascular events

Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study

A Call for Non-invasive Tools to Assess Cardiovascular Risk

Ensemble Machine Learning and Its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome Using Focused Carotid Ultrasound

Combined Femoral and Carotid Plaque Burden Identifies Obstructive Coronary Artery Disease in Women

Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization

Role of artificial intelligence in cardiovascular risk prediction and outcomes: comparison of machine-learning and conventional statistical approaches for the analysis of carotid ultrasound features and intra-plaque neovascularization

A Novel Ultrasound-Based Carotid Plaque Vulnerability Score Is Associated With Long-Term Cardiovascular Outcomes

MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment

Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort

Femoral plaque burden by ultrasound is a better indicator of significant coronary artery disease over ankle brachial index

Handheld versus conventional vascular ultrasound for assessing carotid artery plaque

The use of ultrasound to assess aortic biomechanics: Implications for aneurysm and dissection

Depressive symptoms and inflammatory markers following acute myocardial infarction: A scoping review

Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review

CAROTID INTRAPLAQUE NEOVASCULARIZATION IS A BETTER PREDICTOR OF LONG-TERM MAJOR ADVERSE CARDIOVASCULAR EVENTS IN FEMALES THAN MALES

Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping reviewResearch in context

Fingerprint of long non-coding RNA regulated by cyclic mechanical stretch in human aortic smooth muscle cells: implications for hypertension

UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review

A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool

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