Publications by authors named "John Laird"

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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.
Mainak Biswas, Luca Saba, Mannudeep Kalra, Rajesh Singh, J Fernandes E Fernandes, John R Laird

Comput Med Imaging Graph· October 2024

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Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data.
Mrinalini Bhagawati, Sudip Paul, Laura Mantella, Amer M Johri, Siddharth Gupta, John R Laird

Diagnostics (Basel)· August 2024

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Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review.
Manasvi Singh, Ashish Kumar, Narendra N Khanna, John R Laird, Andrew Nicolaides

EClinicalMedicine· July 2024

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Four Transformer-Based Deep Learning Classifiers Embedded with an Attention U-Net-Based Lung Segmenter and Layer-Wise Relevance Propagation-Based Heatmaps for COVID-19 X-ray Scans.
Siddharth Gupta, Arun K Dubey, Rajesh Singh, Mannudeep K Kalra, Ajith Abraham, John R Laird

Diagnostics (Basel)· July 2024

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Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort.
Mrinalini Bhagawati, Sudip Paul, Laura Mantella, Amer M Johri, John R Laird

Int J Cardiovasc Imaging· June 2024

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COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography.
Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, John R Laird

Front Artif Intell· June 2024

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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.
Luca Saba, Mahesh Maindarkar, Amer M Johri, Laura Mantella, John R Laird

Rev Cardiovasc Med· May 2024

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Remotely Delivered Psychotherapy for Treating Chronic Pain.
John Laird, Brandon Joa

Am Fam Physician· April 2024

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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.
Jaskaran Singh, Narendra N Khanna, Ranjeet K Rout, Narpinder Singh, John R Laird

Sci Rep· March 2024

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Deep Learning Paradigm and Its Bias for Coronary Artery Wall Segmentation in Intravascular Ultrasound Scans: A Closer Look.
Vandana Kumari, Naresh Kumar, Sampath Kumar K, Ashish Kumar, Sanagala S Skandha, John R Laird

J Cardiovasc Dev Dis· December 2023

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Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review.
Mustafa Al-Maini, Mahesh Maindarkar, George D Kitas, Narendra N Khanna, Durga Prasanna Misra, John R Laird

Rheumatol Int· November 2023

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A rational analysis and computational modeling perspective on IAM and déjà vu.
Justin Li, Steven Jones, John Laird

Behav Brain Sci· November 2023

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Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A Review.
Narendra N Khanna, Manasvi Singh, Mahesh Maindarkar, Ashish Kumar, Amer M Johri, John R Laird

J Korean Med Sci· November 2023

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DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion Images.
Prabhav Sanga, Jaskaran Singh, Arun Kumar Dubey, Narendra N Khanna, John R Laird

Diagnostics (Basel)· October 2023

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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.
Luca Saba, Mahesh Maindarkar, Narendra N Khanna, Amer M Johri, Laura Mantella, John R Laird

Front Biosci (Landmark Ed)· October 2023

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Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework.
Arun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, Alessio Pasche, Pietro S C Danna, John R Laird

Diagnostics (Basel)· June 2023

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Cardiovascular disease/stroke risk stratification in deep learning framework: a review.
Mrinalini Bhagawati, Sudip Paul, Sushant Agarwal, Athanasios Protogeron, Petros P Sfikakis, John R Laird

Cardiovasc Diagn Ther· June 2023

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Comparison of Drug-Coated Balloons vs Bare-Metal Stents in Patients With Femoropopliteal Arterial Disease.
Mehdi H Shishehbor, Dierk Scheinert, Ashit Jain, Marianne Brodmann, Gunnar Tepe, John R Laird

J Am Coll Cardiol· January 2023

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Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment.
Narendra N Khanna, Mahesh A Maindarkar, Vijay Viswanathan, Jose Fernandes E Fernandes, Sudip Paul, John R Laird

Healthcare (Basel)· December 2022

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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.
Amer M Johri, Krishna V Singh, Laura E Mantella, Luca Saba, Aditya Sharma, John R Laird

Comput Biol Med· November 2022

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Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study.
Narendra N Khanna, Mahesh A Maindarkar, Vijay Viswanathan, Anudeep Puvvula, Sudip Paul, John R Laird

J Clin Med· November 2022

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Determinants of Drug-Coated Balloon Failure in Patients Undergoing Femoropopliteal Arterial Intervention.
Prakash Krishnan, Serdar Farhan, Peter Schneider, Haroon Kamran, Osamu Iida, John Laird

J Am Coll Cardiol· September 2022

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Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm.
Pankaj K Jain, Abhishek Dubey, Luca Saba, Narender N Khanna, John R Laird

J Cardiovasc Dev Dis· September 2022

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Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report.
Narendra N Khanna, Mahesh Maindarkar, Anudeep Puvvula, Sudip Paul, Mrinalini Bhagawati, John R Laird

J Cardiovasc Dev Dis· August 2022

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Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework.
Biswajit Jena, Sanjay Saxena, Gopal Krishna Nayak, Antonella Balestrieri, Neha Gupta, John R Laird

Cancers (Basel)· August 2022

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