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Stefano Diciotti

Showing results (1-10 of 128) with videos related to

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Radiology|September 9, 2025
Pulmonary Emphysema at Low-Dose CT Lung Cancer Screening: Assessment Tools and AI ChallengesMario Mascalchi, Stefano Diciotti
Signal Transduction and Targeted Therapy|January 23, 2025
Artificial intelligence propels lung cancer screening: innovations and the challenges of explainability and reproducibilityMario Mascalchi, Chiara Marzi, Stefano Diciotti
Journal of Thoracic Disease|December 10, 2017
Lung densitometry: why, how and whenMario Mascalchi, Gianna Camiciottoli, Stefano Diciotti
Scientific Reports|September 2, 2025
Comparative analysis of supervised and self-supervised learning with small and imbalanced medical imaging datasetsAndrea Espis, Chiara Marzi, Stefano Diciotti
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Self-supervised and supervised learning in medical imaging classification: addressing the hidden bias of workflow design<sup></sup>Andrea Espis, Chiara Marzi, Stefano Diciotti
IEEE Journal of Biomedical and Health Informatics|June 30, 2026
NeuroBooster: a domain-informed self-supervised learning paradigm tailored for brain MRI analysisAndrea Espis, Chiara Marzi, Stefano Diciotti
Archivos De Bronconeumologia|December 6, 2024
The Pivotal Role of Baseline LDCT for Lung Cancer Screening in the Era of Artificial IntelligenceGiulia Raffaella De Luca, Stefano Diciotti, Mario Mascalchi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Standardizing CT data with BIDS: Applications in Lung and Brain Imaging<sup></sup>Giulia Raffaella De Luca, Hugo Boniface, Stefano Diciotti
Scientific Reports|October 1, 2025
High-resolution conditional MR image synthesis through the PACGAN frameworkMatteo Lai, Chiara Marzi, Luca Citi, et al.
Journal of Applied Clinical Medical Physics|November 18, 2010
Characterization of Nyquist ghost in EPI-fMRI acquisition sequences implemented on two clinical 1.5 T MR scanner systems: effect of readout bandwidth and echo spacingMarco Giannelli, Stefano Diciotti, Carlo Tessa, et al.
Pageof 13

Showing results (1-10 of 128) with videos related to

Sort By:
Pageof 13
Radiology|September 9, 2025
Pulmonary Emphysema at Low-Dose CT Lung Cancer Screening: Assessment Tools and AI ChallengesMario Mascalchi, Stefano Diciotti
Signal Transduction and Targeted Therapy|January 23, 2025
Artificial intelligence propels lung cancer screening: innovations and the challenges of explainability and reproducibilityMario Mascalchi, Chiara Marzi, Stefano Diciotti
Journal of Thoracic Disease|December 10, 2017
Lung densitometry: why, how and whenMario Mascalchi, Gianna Camiciottoli, Stefano Diciotti
Scientific Reports|September 2, 2025
Comparative analysis of supervised and self-supervised learning with small and imbalanced medical imaging datasetsAndrea Espis, Chiara Marzi, Stefano Diciotti
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Self-supervised and supervised learning in medical imaging classification: addressing the hidden bias of workflow design<sup></sup>Andrea Espis, Chiara Marzi, Stefano Diciotti
IEEE Journal of Biomedical and Health Informatics|June 30, 2026
NeuroBooster: a domain-informed self-supervised learning paradigm tailored for brain MRI analysisAndrea Espis, Chiara Marzi, Stefano Diciotti
Archivos De Bronconeumologia|December 6, 2024
The Pivotal Role of Baseline LDCT for Lung Cancer Screening in the Era of Artificial IntelligenceGiulia Raffaella De Luca, Stefano Diciotti, Mario Mascalchi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Standardizing CT data with BIDS: Applications in Lung and Brain Imaging<sup></sup>Giulia Raffaella De Luca, Hugo Boniface, Stefano Diciotti
Scientific Reports|October 1, 2025
High-resolution conditional MR image synthesis through the PACGAN frameworkMatteo Lai, Chiara Marzi, Luca Citi, et al.
Journal of Applied Clinical Medical Physics|November 18, 2010
Characterization of Nyquist ghost in EPI-fMRI acquisition sequences implemented on two clinical 1.5 T MR scanner systems: effect of readout bandwidth and echo spacingMarco Giannelli, Stefano Diciotti, Carlo Tessa, et al.
Pageof 13