Gian Luca Chabert

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.

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.

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.

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.

A Numerical Study of the RF Hyperthermia Treatment of Brain Tumors Using Novel SPIO-Micelles

G. Mazzarella, A. Fanti, N. Nasongkla, 2024, 2024 IEEE 24th International Conference on Nanotechnology (NANO).

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..