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2020 – today
- 2024
[j9]Massimo Salvi, Nicola Michielli, Lorenzo Salamone, Alessandro Mogetta, Alessandro Gambella, Luca Molinaro, Mauro Papotti, Filippo Molinari:
Computational Synthesis of Histological Stains: A Step Toward Virtual Enhanced Digital Pathology. Int. J. Imaging Syst. Technol. 34(5) (2024)- [j8]Juri Taborri
, Luca Molinaro, Luca Russo, Valerio Palmerini, Alin Larion, Stefano Rossi:
Comparison of Machine Learning Algorithms Fed with Mobility-Related and Baropodometric Measurements to Identify Temporomandibular Disorders. Sensors 24(11): 3646 (2024) - [i1]Massimiliano Ciranni, Luca Molinaro, Carlo Alberto Barbano, Attilio Fiandrotti, Vittorio Murino, Vito Paolo Pastore, Enzo Tartaglione:
Say My Name: a Model's Bias Discovery Framework. CoRR abs/2408.09570 (2024) - 2023
- [j7]Luca Molinaro, Juri Taborri, Denis Pauletto, Valentina Guerra, Damiano Molinaro, Giovanni Sicari, Antonello Regina, Enrico Guerra, Stefano Rossi:
Measuring the Immediate Effects of High-Intensity Functional Training on Motor, Cognitive and Physiological Parameters in Well-Trained Adults. Sensors 23(8): 3937 (2023) - [c5]Luca Molinaro, Juri Taborri, Massimo Montecchiani, Stefano Rossi:
Assessment of cognitive skills in karatekas pre-post technical training. MeMeA 2023: 1-6 - 2022
- [c4]Luca Molinaro, Rosalia Tatano, Enrico Busto, Attilio Fiandrotti, Valerio Basile, Viviana Patti:
DelBERTo: A Deep Lightweight Transformer for Sentiment Analysis. AI*IA 2022: 443-456 - [c3]Luca Molinaro, Luca Russo, Francesco Cubelli, Juri Taborri, Stefano Rossi:
Reliability analysis of an innovative technology for the assessment of spinal abnormalities. MeMeA 2022: 1-6 - 2021
- [j6]Massimo Salvi, Martino Bosco, Luca Molinaro, Alessandro Gambella, Mauro Papotti, U. Rajendra Acharya, Filippo Molinari:
A hybrid deep learning approach for gland segmentation in prostate histopathological images. Artif. Intell. Medicine 115: 102076 (2021) - [j5]Massimo Salvi, Alessandro Mogetta, Alessandro Gambella, Luca Molinaro, Antonella Barreca, Mauro Papotti, Filippo Molinari:
Automated assessment of glomerulosclerosis and tubular atrophy using deep learning. Comput. Medical Imaging Graph. 90: 101930 (2021) - [j4]Juri Taborri, Luca Molinaro, Adriano Santospagnuolo, Mario Vetrano, Maria Chiara Vulpiani, Stefano Rossi:
A Machine-Learning Approach to Measure the Anterior Cruciate Ligament Injury Risk in Female Basketball Players. Sensors 21(9): 3141 (2021) - [j3]Luca Molinaro, Juri Taborri, Adriano Santospagnuolo, Mario Vetrano, Maria Chiara Vulpiani, Stefano Rossi:
Sensor-Based Indices for the Prediction and Monitoring of Anterior Cruciate Ligament Injury: Reliability Analysis and a Case Study in Basketball. Sensors 21(16): 5341 (2021) - [c2]Luca Molinaro, Juri Taborri, Stefano Rossi:
Baropodometric analysis in different feet positions: reliability and repeatability evaluation. MetroInd4.0&IoT 2021: 295-300 - 2020
- [j2]Massimo Salvi, Luca Molinaro, Jasna Metovic, Damiano Patrono, Renato Romagnoli, Mauro Papotti, Filippo Molinari:
Fully automated quantitative assessment of hepatic steatosis in liver transplants. Comput. Biol. Medicine 123: 103836 (2020) - [j1]Luca Molinaro, Juri Taborri, Massimo Montecchiani, Stefano Rossi:
Assessing the Effects of Kata and Kumite Techniques on Physical Performance in Elite Karatekas. Sensors 20(11): 3186 (2020) - [c1]Luca Molinaro, Adriano Santospagnuolo, Maria Chiara Vulpiani, Juri Taborri, Mario Vetrano, Stefano Rossi:
Can the measurements of leg stability during jump landing predict and monitor anterior cruciate ligament injury? A case report of basketball player. MeMeA 2020: 1-6
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