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Acta Radiologica (Stockholm, Sweden : 1987)|May 20, 2026
Native T1 mapping of the terminal ileum in Crohn's disease: an exploratory studyGiovanni Grassi, Gian Luca Chabert, Antonella Balestrieri, et al.Italian Journal of Pediatrics|August 12, 2025
Obesity‑related kidney disease: a review on ultrasound applicationsArmando Di Ludovico, Costanza Pucci, Giovanni Grassi, et al.AJNR. American Journal of Neuroradiology|April 7, 2025
Carotid Plaque-RADS: Inter-and intra-reader agreement and learning curve analysis in Computed Tomography AngiographyLuca Saba, Roberta Scicolone, Gian Luca Chabert, et al.Frontiers in Artificial Intelligence|July 15, 2024
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomographySushant Agarwal, Sanjay Saxena, Alessandro Carriero, et al.Journal of Medical Systems|August 21, 2022
Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 ValidationJasjit S Suri, Sushant Agarwal, Luca Saba, et al.Diagnostics (Basel, Switzerland)|June 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 FrameworkArun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, et al.Diagnostics (Basel, Switzerland)|June 24, 2022
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography ScansJasjit S Suri, Sushant Agarwal, Gian Luca Chabert, et al.Diagnostics (Basel, Switzerland)|May 28, 2022
COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography ScansJasjit S Suri, Sushant Agarwal, Gian Luca Chabert, et al.Computers in Biology and Medicine|June 25, 2022
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 2.0Mohit Agarwal, Sushant Agarwal, Luca Saba, et al.Pageof 1