Mustafa Al-Maini

发表

Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment

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

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.

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.

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.

Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence.

Harman S. Suri, Aditya M. Sharma, Deepak L. Bhatt, 2020, Reviews in cardiovascular medicine.

Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/Non-COVID-19 Frameworks Using Artificial Intelligence Paradigm: A Narrative Review

Renoh Johnson Chalakkal, David W. Sobel, Paramjit S. Chadha, 2022, Diagnostics.

Nutrition, atherosclerosis, arterial imaging, cardiovascular risk stratification, and manifestations in COVID-19 framework: a narrative review.

Athanasios, David W. Sobel, Teji, 2021, Frontiers in bioscience.

A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool.

Laura E. Mantella, E. Isenovic, K. Paraskevas, 2023, Frontiers in bioscience.

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence

Aditya M. Sharma, David W. Sobel, Gopal S. Tandel, 2021, Computers in Biology and Medicine.

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

M. Kalra, K. Višković, John R. Laird, 2024, Diagnostics.

Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review

Laura E. Mantella, E. Isenovic, D. Mikhailidis, 2024, EClinicalMedicine.

DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion Images

M. Kalra, V. Agarwal, N. N. Khanna, 2023, Diagnostics.

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

David W. Sobel, M. Kalra, J. Suri, 2023, Diagnostics.

COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans

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

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

David W. Sobel, Paramjit S. Chadha, J. Suri, 2022, Computers in Biology and Medicine.

COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans

David W. Sobel, Paramjit S. Chadha, J. Suri, 2022, Diagnostics.