Inder M. Singh

发表

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.

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.

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.

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.

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.

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

Laura E. Mantella, J. Suri, L. Saba, 2022, Comput. Biol. 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.

Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation

M. Kalra, J. Suri, L. Saba, 2022, Journal of Medical Systems.

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.

COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts

David W. Sobel, Paramjit S. Chadha, M. Kalra, 2021, Diagnostics.

Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography

Aditya M. Sharma, David W. Sobel, Paramjit S. Chadha, 2021, Diagnostics.

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.

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 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models

Aditya M. Sharma, David W. Sobel, Paramjit S. Chadha, 2021, Diagnostics.

Cardiovascular disease/stroke risk stratification in deep learning framework: a review

J. Suri, L. Saba, G. Kitas, 2023, Cardiovascular diagnosis and therapy.

GeneAI 3.0: Powerful, Novel, Generalized Hybrid and Ensemble Deep Learning Frameworks for miRNA Classi cation of species-speci c Stationary Patterns from Nucleotides

Laura E. Mantella, M. Kalra, E. Isenovic, 2023 .

Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review

Laura E. Mantella, L. Saba, G. Kitas, 2023, Rheumatology International.

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.

Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A Review

M. Kalra, E. Isenovic, K. Paraskevas, 2023, Journal of Korean medical science.

GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides.

Laura E. Mantella, M. Kalra, E. Isenovic, 2024, Scientific Reports.

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.