Can the measurements of leg stability during jump landing predict and monitor anterior cruciate ligament injury? A case report of basketball player. - Luca Molinaro; Adriano Santospagnuolo; Maria Chiara Vulpiani; Juri Taborri; Mario Vetrano; Stefano Rossi (MeMeA, 2020)

Fully automated quantitative assessment of hepatic steatosis in liver transplants. - Massimo Salvi; Luca Molinaro; Jasna Metovic; Damiano Patrono; Renato Romagnoli; Mauro Papotti; Filippo Molinari (Comput. Biol. Medicine, 2020)

Assessing the Effects of Kata and Kumite Techniques on Physical Performance in Elite Karatekas. - Luca Molinaro; Juri Taborri; Massimo Montecchiani; Stefano Rossi (Sensors, 2020)

Baropodometric analysis in different feet positions: reliability and repeatability evaluation. - Luca Molinaro; Juri Taborri; Stefano Rossi (MetroInd4.0&IoT, 2021)

A hybrid deep learning approach for gland segmentation in prostate histopathological images. - Massimo Salvi; Martino Bosco; Luca Molinaro; Alessandro Gambella; Mauro Papotti; U. Rajendra Acharya; Filippo Molinari (Artif. Intell. Medicine, 2021)

Automated assessment of glomerulosclerosis and tubular atrophy using deep learning. - Massimo Salvi; Alessandro Mogetta; Alessandro Gambella; Luca Molinaro; Antonella Barreca; Mauro Papotti; Filippo Molinari (Comput. Medical Imaging Graph., 2021)

Sensor-Based Indices for the Prediction and Monitoring of Anterior Cruciate Ligament Injury: Reliability Analysis and a Case Study in Basketball. - Luca Molinaro; Juri Taborri; Adriano Santospagnuolo; Mario Vetrano; Maria Chiara Vulpiani; Stefano Rossi (Sensors, 2021)

A Machine-Learning Approach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players. - Juri Taborri; Luca Molinaro; Adriano Santospagnuolo; Mario Vetrano; Maria Chiara Vulpiani; Stefano Rossi (Sensors, 2021)

DelBERTo: A Deep Lightweight Transformer for Sentiment Analysis. - Luca Molinaro; Rosalia Tatano; Enrico Busto; Attilio Fiandrotti; Valerio Basile; Viviana Patti (AI*IA, 2022)

Reliability analysis of an innovative technology for the assessment of spinal abnormalities. - Luca Molinaro; Luca Russo; Francesco Cubelli; Juri Taborri; Stefano Rossi (MeMeA, 2022)

Assessment of cognitive skills in karatekas pre-post technical training. - Luca Molinaro; Juri Taborri; Massimo Montecchiani; Stefano Rossi (MeMeA, 2023)

Measuring the Immediate Effects of High-Intensity Functional Training on Motor, Cognitive and Physiological Parameters in Well-Trained Adults. - Luca Molinaro; Juri Taborri; Denis Pauletto; Valentina Guerra; Damiano Molinaro; Giovanni Sicari; Antonello Regina; Enrico Guerra; Stefano Rossi (Sensors, 2023)

Measuring the Accuracy of Artificial Intelligence Algorithms in the Identification of Anatomical Landmarks Through the Rastereography SPINE3D. - Juri Taborri; Luca Molinaro; Emanuele Faperdue; Marco Donati; Stefano Rossi (MetroXRAINE, 2024)

Say My Name: a Model's Bias Discovery Framework. - Massimiliano Ciranni; Luca Molinaro; Carlo Alberto Barbano; Attilio Fiandrotti; Vittorio Murino; Vito Paolo Pastore; Enzo Tartaglione (CoRR, 2024)

Knowledge Transfer Across Modalities with Natural Language Supervision. - Carlo Alberto Barbano; Luca Molinaro; Emanuele Aiello; Marco Grangetto (CoRR, 2024)

Computational Synthesis of Histological Stains: A Step Toward Virtual Enhanced Digital Pathology. - Massimo Salvi; Nicola Michielli; Lorenzo Salamone; Alessandro Mogetta; Alessandro Gambella; Luca Molinaro; Mauro Papotti; Filippo Molinari (Int. J. Imaging Syst. Technol., 2024)

Comparison of Machine Learning Algorithms Fed with Mobility-Related and Baropodometric Measurements to Identify Temporomandibular Disorders. - Juri Taborri; Luca Molinaro; Luca Russo; Valerio Palmerini; Alin Larion; Stefano Rossi (Sensors, 2024)

Investigating the Correlation Between Sensor-Based Indices and Temporomandibular Disorders' Clinical Scales. - Luca Molinaro; Juri Taborri; Luca Ceriola; Valerio Palmerini; Ilaria Mileti; Stefano Rossi (MeMeA, 2025)