Andrew Nicolaides

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.

Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach

Petia Radeva, Ayman El-Baz, Jasjit S. Suri, 2016, Comput. Methods Programs Biomed..

Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment

Nilanjan Dey, Jasjit S. Suri, Luca Saba, 2017, Comput. Methods Programs Biomed..

Quality evaluation of ultrasound imaging in the carotid artery

Christos P. Loizou, Robert S. H. Istepanian, Constantinos S. Pattichis, 2004 .

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.

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.

PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology

Tadashi Araki, Andrew Nicolaides, Sumit K. Banchhor, 2016, Comput. Methods Programs Biomed..

Carotid artery recognition system: a comparison of three automated paradigms for ultrasound images.

Guang Zeng, U Rajendra Acharya, Filippo Molinari, 2011, Medical physics.

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.

Carotid ultrasound symptomatology using atherosclerotic plaque characterization: A class of Atheromatic systems

U. Rajendra Acharya, Jasjit S. Suri, Luca Saba, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

State-of-the-art review on deep learning in medical imaging.

Jasjit S Suri, Damodar Reddy Edla, Venkatanareshbabu Kuppili, 2019, Frontiers in bioscience.

Ultrasound image quality evaluation

Christos P. Loizou, Robert S. H. Istepanian, Constantinos S. Pattichis, 2003, 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 2003..

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.

Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm

Ayman El-Baz, Jasjit S. Suri, Luca Saba, 2017, Comput. Biol. Medicine.

Ultrasound imaging media layer texture analysis of the carotid artery

Marios S. Pattichis, Philipos C. Loizou, Constantinos S. Pattichis, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

Constrained snake vs. conventional snake for carotid ultrasound automated IMT measurements on multi-center data sets.

U. Rajendra Acharya, Jasjit S. Suri, Filippo Molinari, 2012, Ultrasonics.

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

Jasjit S. Suri, Luca Saba, Ankush D. Jamthikar, 2020, Journal of Medical Systems.

Measurement of motion of carotid bifurcation plaques

Marios S. Pattichis, Constantinos S. Pattichis, Efthyvoulos C. Kyriacou, 2012, 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE).

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.

Ultrasound imaging in the analysis of carotid plaque morphology for the assessment of stroke.

Andrew Nicolaides, Maura Griffin, Marios S Pattichis, 2005, Studies in health technology and informatics.

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.

Ultrasound video despeckle filtering for High Efficiency Video Coding in m-health systems

Marios S. Pattichis, Christos P. Loizou, Constantinos S. Pattichis, 2013 .

Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound

Jasjit S. Suri, Andrew Nicolaides, Luca Saba, 2021, Comput. Biol. 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.

A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application

Jasjit S. Suri, Andrew Nicolaides, John R. Laird, 2021, IEEE Transactions on Instrumentation and Measurement.

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.

Automated Analysis of Intima‐Media Thickness

Filippo Molinari, Jasjit S Suri, Andrew Nicolaides, 2013, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

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.

Shape‐Based Approach for Coronary Calcium Lesion Volume Measurement on Intravascular Ultrasound Imaging and Its Association With Carotid Intima‐Media Thickness

Filippo Molinari, Suvojit Acharjee, Tadashi Araki, 2015, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

Extracranial internal carotid artery calcium volume measurement using computer tomography.

Jasjit S Suri, Andrew Nicolaides, O. M. Rijal, 2017, International angiology : a journal of the International Union of Angiology.

Ultrasound-based carotid stenosis measurement and risk stratification in diabetic cohort: a deep learning paradigm.

Jasjit S Suri, Andrew Nicolaides, Harman S. Suri, 2019, Cardiovascular diagnosis and therapy.

An automated technique for carotid far wall classification using grayscale features and wall thickness variability

Filippo Molinari, Jasjit S Suri, Andrew Nicolaides, 2015, Journal of clinical ultrasound : JCU.

Automated carotid artery intima layer regional segmentation

Filippo Molinari, Jasjit S Suri, Andrew Nicolaides, 2011, Physics in medicine and biology.

A Review on Atherosclerotic Biology, Wall Stiffness, Physics of Elasticity, and Its Ultrasound-Based Measurement

Jasjit S Suri, Andrew Nicolaides, Harman S. Suri, 2016, Current Atherosclerosis Reports.

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.

Ankle–Brachial Index and Its Link to Automated Carotid Ultrasound Measurement of Intima–Media Thickness Variability in 500 Japanese Coronary Artery Disease Patients

Jasjit S. Suri, Filippo Molinari, Kristen M. Meiburger, 2014, Current Atherosclerosis Reports.

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.

Ultrasound and carotid bifurcation atherosclerosis

Constantinos S. Pattichis, Andrew Nicolaides, Kirk W. Beach, 2012 .

PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study

Hynek Pikhart, Fernando Pires Hartwig, Joshua C Denny, 2017, The lancet. Diabetes & endocrinology.

Image Retrieval and Classification of Carotid Plaque Ultrasound Images

Andrew Nicolaides, E. Kyriacou, A. Nicolaides, 2010 .

Intima media segmentation of the carotid artery

Christos P. Loizou, Robert S. H. Istepanian, Constantinos S. Pattichis, 2004 .

Multiple Feature Extraction for Content-Based Image Retrieval of Carotid Plaque Ultrasound Images

Andrew Nicolaides, Efthyvoulos Kyriacou, C. Pattichis, 2006 .

Ultrasound-Based Automated Carotid Lumen Diameter/Stenosis Measurement and its Validation System

Jasjit S. Suri, Jeny Rajan, Tadashi Araki, 2016 .

Fully Automated Dual‐Snake Formulation for Carotid Intima‐Media Thickness Measurement

Filippo Molinari, Jasjit S Suri, Andrew Nicolaides, 2012, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

Association of automated carotid IMT measurement and HbA1c in Japanese patients with coronary artery disease.

Filippo Molinari, Jasjit S Suri, Tadashi Araki, 2013, Diabetes research and clinical practice.

De-speckle filtering in ultrasound imaging of the carotid artery

Marios S. Pattichis, Christos P. Loizou, Constantinos S. Pattichis, 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

Speckle reduction in ultrasound images of atherosclerotic carotid plaque

Christos P. Loizou, Robert S. H. Istepanian, Constantinos S. Pattichis, 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).

Carotid inter‐adventitial diameter is more strongly related to plaque score than lumen diameter: An automated tool for stroke analysis

Jeny Rajan, Tadashi Araki, Andrew Nicolaides, 2016, Journal of clinical ultrasound : JCU.

Numerical analysis of the effect of turbulence transition on the hemodynamic parameters in human coronary arteries.

Jasjit S Suri, Tadashi Araki, Andrew Nicolaides, 2016, Cardiovascular diagnosis and therapy.

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.

Carotid IMT Variability (IMTV) and Its Validation in Symptomatic versus Asymptomatic Italian Population: Can This Be a Useful Index for Studying Symptomaticity?

Filippo Molinari, Jasjit S Suri, Andrew Nicolaides, 2012, Echocardiography.

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.

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.