David W Sobel

7PUBLICATIONS
28CO-AUTHORS
Toxicology (incl. clinical toxicology)Deep learningEvolutionary computationMajor global burdens of diseaseComputational neuroscience (incl. mathematical neuroscience and theoretical neuroscience)
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Publications (7)

|Jun 18, 2025
A prospective study to determine the safety and feasibility of opioid-free discharge after percutaneous nephrolithotomy.

David Sobel, Philip Caffery, Evelyn James

|Jun 10, 2023
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

|Dec 23, 2022
Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment.

Narendra N Khanna, Mahesh A Maindarkar, Vijay Viswanathan

|Nov 26, 2022
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

|Jul 27, 2022
Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson's Disease Affected by COVID-19: A Narrative Review.

Jasjit S Suri, Mahesh A Maindarkar, Sudip Paul

|May 28, 2022
COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans.

Jasjit S Suri, Sushant Agarwal, Gian Luca Chabert

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Frequent Collaborators

6 joint publications

George Tsoulfas

6 joint publications

Mostafa M Fouda

5 joint publications

Klaudija Viskovic

5 joint publications

Athanasios Protogerou