S. Paul

发表

Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction—A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative Review

J. Suri, L. Saba, A. Barqawi, 2022, Diagnostics.

Role of Artificial Intelligence in Radiogenomics for Cancers in the Era of Precision Medicine

J. Suri, L. Saba, Biswajit Jena, 2022, Cancers.

Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review

David W. Sobel, Paramjit S. Chadha, M. Kalra, 2022, Diagnostics.

Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report

David W. Sobel, J. Suri, L. Saba, 2022, Journal of cardiovascular development and disease.

Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study

David W. Sobel, M. Kalra, J. Suri, 2022, Journal of clinical medicine.

Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment

David W. Sobel, M. Kalra, J. Suri, 2022, Healthcare.

Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review

M. Kalra, J. Suri, L. Saba, 2022, Metabolites.

A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review

J. Suri, L. Saba, G. Kitas, 2022, Diagnostics.

An Exhaustive Analytical Study of U-Net Architecture on Two Diverse Biomedical Imaging Datasets of Electron Microscopy Drosophila ssTEM and Brain MRI BraTS-2021 for Segmentation

Biswajit Jena, G. K. Nayak, Sanjay Saxena, 2022, SN Computer Science.

Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering from glioblastoma using MRI-based hybrid radiomics signatures in machine and deep learning framework

J. Suri, L. Saba, Biswajit Jena, 2023, Neural Computing and Applications.

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review

J. Suri, L. Saba, G. Kitas, 2022, Comput. Biol. Medicine.

Recent Trends in Image and Signal Processing in Computer Vision

Shruti Jain, S. Paul, 2020 .

Artificial intelligence bias in medical system designs: a systematic review

L. Saba, M. Fatemi, S. Gupta, 2023, Multimedia tools and applications.

Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort.

Laura E. Mantella, E. Isenovic, R. Cau, 2024, The international journal of cardiovascular imaging.

COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography

K. Višković, John R. Laird, Sushant Agarwal, 2024, Frontiers Artif. Intell..

Automatic brain tumor detection and segmentation from multi-modal MRI images based on region growing and level set evolution

Shaikh Anowarul Fattah, Celia Shahnaz, Ishmam Zabir, 2015, 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE).