John R. Laird

Orcid: 0000-0003-2095-2191

According to our database1, John R. Laird authored at least 34 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Artificial intelligence bias in medical system designs: a systematic review.
Multim. Tools Appl., February, 2024

2023
UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias.
IEEE Access, 2023

2022
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review.
Comput. Biol. Medicine, 2022

Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization.
Comput. Biol. Medicine, 2022

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0.
Comput. Biol. Medicine, 2022

2021
A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application.
IEEE Trans. Instrum. Meas., 2021

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.
Medical Biol. Eng. Comput., 2021

A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework.
J. Digit. Imaging, 2021

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs.
Int. J. Comput. Assist. Radiol. Surg., 2021

2020
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.
Comput. Biol. Medicine, 2020

3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0.
Comput. Biol. Medicine, 2020

Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound.
Comput. Biol. Medicine, 2020

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.
Comput. Biol. Medicine, 2020

2019
Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0.
Medical Biol. Eng. Comput., 2019

Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke risk.
Medical Biol. Eng. Comput., 2019

Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study.
Comput. Biol. Medicine, 2019

Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach.
Comput. Biol. Medicine, 2019

2018
State-of-the-art review on automated lumen and adventitial border delineation and its measurements in carotid ultrasound.
Comput. Methods Programs Biomed., 2018

Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort.
Comput. Biol. Medicine, 2018

Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort.
Comput. Biol. Medicine, 2018

2017
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach.
Medical Biol. Eng. Comput., 2017

Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm.
J. Medical Syst., 2017

Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment.
Comput. Methods Programs Biomed., 2017

Web-based accurate measurements of carotid lumen diameter and stenosis severity: An ultrasound-based clinical tool for stroke risk assessment during multicenter clinical trials.
Comput. Biol. Medicine, 2017

Well-balanced system for coronary calcium detection and volume measurement in a low resolution intravascular ultrasound videos.
Comput. Biol. Medicine, 2017

Wall-based measurement features provides an improved IVUS coronary artery risk assessment when fused with plaque texture-based features during machine learning paradigm.
Comput. Biol. Medicine, 2017

Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm.
Comput. Biol. Medicine, 2017

2016
Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches.
J. Medical Syst., 2016

Reliable and Accurate Calcium Volume Measurement in Coronary Artery Using Intravascular Ultrasound Videos.
J. Medical Syst., 2016

Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach.
Comput. Methods Programs Biomed., 2016

A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens.
Comput. Methods Programs Biomed., 2016

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.
Comput. Methods Programs Biomed., 2016

Accurate cloud-based smart IMT measurement, its validation and stroke risk stratification in carotid ultrasound: A web-based point-of-care tool for multicenter clinical trial.
Comput. Biol. Medicine, 2016

2015
A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound.
Comput. Methods Programs Biomed., 2015


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