Sophie Mavrogeni

发表

Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0

Jasjit S. Suri, Luca Saba, Narendra N. Khanna, 2019, Medical & Biological Engineering & Computing.

Two-stage artificial intelligence model for jointly measurement of atherosclerotic wall thickness and plaque burden in carotid ultrasound: A screening tool for cardiovascular/stroke risk assessment

Jasjit S. Suri, Andrew Nicolaides, Harman S. Suri, 2020, Comput. Biol. Medicine.

3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0

Vijaya Kumar Koppula, Jasjit S. Suri, Narendra N. Khanna, 2020, Comput. Biol. Medicine.

Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study

Jasjit S. Suri, Luca Saba, Vijay Viswanathan, 2019, Comput. Biol. Medicine.

Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort

Jasjit S. Suri, Luca Saba, Narendra N. Khanna, 2018, Comput. Biol. Medicine.

Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach

Jasjit S. Suri, Luca Saba, Narendra N. Khanna, 2019, Comput. Biol. Medicine.

Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound

Deep Gupta, Andrew Nicolaides, Sophie Mavrogeni, 2020, Comput. Biol. Medicine.

COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review

Mainak Biswas, Vijay Viswanathan, Narendra N. Khanna, 2020, Computers in Biology and Medicine.

A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework

Jasjit S. Suri, Narendra N. Khanna, Andrew Nicolaides, 2021, Journal of Digital Imaging.

Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application

Jasjit S. Suri, Narendra N. Khanna, Andrew Nicolaides, 2021, Medical & Biological Engineering & Computing.

Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients.

Jasjit S Suri, Deep Gupta, Tadashi Araki, 2018, Diabetes research and clinical practice.

A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes.

Jasjit S Suri, Deep Gupta, Tadashi Araki, 2019, Cardiovascular diagnosis and therapy.

Myocardial involvement in a patient with chlamydia trachomatis infection.

Sophie Mavrogeni, G. Kolovou, S. Mavrogeni, 2008, Journal of cardiac failure.

Does the Carotid Bulb Offer a Better 10-Year CVD/Stroke Risk Assessment Compared to the Common Carotid Artery? A 1516 Ultrasound Scan Study

Jasjit S Suri, Deep Gupta, Andrew Nicolaides, 2020, Angiology.

Imaging modalities for the diagnosis of pulmonary hypertension in systemic sclerosis

Sophie Mavrogeni, George D. Kitas, G. Kitas, 2012, Nature Reviews Rheumatology.

Risk Scores After Acute Coronary Syndrome

Sophie Mavrogeni, G. Kolovou, S. Mavrogeni, 2017, Angiology.

Prediction of ventricular arrhythmias using cardiovascular magnetic resonance.

Sophie Mavrogeni, George Theodorakis, G. Kolovou, 2013, European heart journal cardiovascular Imaging.

Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning–Based Tissue Characterization

Petros Sfikakis, Deep Gupta, Ankush D. Jamthikar, 2019, Current Atherosclerosis Reports.

Nonlinear model for the carotid artery disease 10‐year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study

Jasjit S Suri, Deep Gupta, Ankush D. Jamthikar, 2019, Echocardiography.

The present and future of deep learning in radiology.

Jasjit S. Suri, Damodar Reddy Edla, Narendra N. Khanna, 2019, European journal of radiology.

Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models.

Jasjit S Suri, Deep Gupta, Tadashi Araki, 2020, Cardiovascular diagnosis and therapy.

Geometric Total Plaque Area Is an Equally Powerful Phenotype Compared With Carotid Intima-Media Thickness for Stroke Risk Assessment: A Deep Learning Approach

Jasjit S. Suri, Narendra N. Khanna, Tadashi Araki, 2018, Journal for Vascular Ultrasound.

Cardiac Tissue Characterization and the Diagnostic Value of Cardiovascular Magnetic Resonance in Systemic Connective Tissue Diseases

Sophie Mavrogeni, Georgios Spiliotis, G. Kitas, 2014, Arthritis care & research.

A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode Ultrasonography

Jasjit S. Suri, Deep Gupta, Narendra N. Khanna, 2019, Current Atherosclerosis Reports.