Mantovani, M.; Scheda, R.; Combi, C.; Diciotti, S., A Key Performance Indicator to Analyze Swarm Learning Performances with EHR, in: Proceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 620 - 625 (atti di: 12th IEEE International Conference on Healthcare Informatics, ICHI 2024, USA, 2024) [Contributo in Atti di convegno]Open Access
Giorgini, F; Di Dalmazi, G; Diciotti, S, Artificial intelligence in endocrinology: a comprehensive review, «JOURNAL OF ENDOCRINOLOGICAL INVESTIGATION», 2024, 47, pp. 1067 - 1082 [articolo]Open Access
Credi, Alberto; Masini, Francesca; Diciotti, Stefano; Forni, Monica; Peroni, Silvio; Coppini, Sara; Gualandi, Bianca, Back to the Fundamentals of Research: Reliability, Transparency and Reproducibility. Position Paper, in: Back to Fundamentals of Research, Bologna, Alma Mater Studiorum - Università di Bologna, 2024, pp. 1 - 4 (atti di: Back to Fundamentals of Research: Reliability, Transparency and Reproducibility, Bologna, 20/05/2024) [Contributo in Atti di convegno]Open Access
Lai, M.; Marzi, C.; Mascalchi, M.; Diciotti, S., Brain MRI Synthesis Using Stylegan2-ADA, in: Proceedings - International Symposium on Biomedical Imaging, Piscataway, IEEE Computer Society, «PROCEEDINGS INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING», 2024, pp. 1 - 5 (atti di: 21st IEEE International Symposium on Biomedical Imaging, ISBI 2024, grc, 2024) [Contributo in Atti di convegno]Open Access
Atnafu, S. W.; Diciotti, S., Development of an Interpretable Deep Learning System for the Identification of Patients with Alzheimer’s Disease, in: Green Energy and Technology, Springer Science and Business Media Deutschland GmbH, «GREEN ENERGY AND TECHNOLOGY», 2024, pp. 27 - 37 (atti di: 10th EAI International Conference on Advancements of Science and Technology, EAI ICAST 2022, eth, 2022) [Contributo in Atti di convegno]Open Access
Porcaro, C.; Diciotti, S.; Madan, C. R.; Marzi, C., Editorial: Methods and application in fractal analysis of neuroimaging data, «FRONTIERS IN HUMAN NEUROSCIENCE», 2024, 18, pp. 1 - 3 [replica/breve intervento]Open Access
Borra, D.; Diciotti, S.; Magosso, E., EEG Features Learned by Convolutional Neural Networks Reflect Alterations of Social Stimuli Processing in Autism, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, 15019, pp. 124 - 136 (atti di: 33rd International Conference on Artificial Neural Networks, ICANN 2024, che, 2024) [Contributo in Atti di convegno]Open Access
Marzi C.; Giannelli M.; Barucci A.; Tessa C.; Mascalchi M.; Diciotti S., Efficacy of MRI data harmonization in the age of machine learning: a multicenter study across 36 datasets, «SCIENTIFIC DATA», 2024, 11, pp. 1 - 27 [articolo]Open Access
Mascalchi, M.; Puliti, D.; Cavigli, E.; Cortes-Ibanez, F. O.; Picozzi, G.; Carrozzi, L.; Gorini, G.; Delorme, S.; Zompatori, M.; De Luca, Giulia Raffaella; Diciotti, S.; Eva Comin, C.; Ali, G.; Kaaks, R., Large cell carcinoma of the lung: LDCT features and survival in screen-detected cases, «EUROPEAN JOURNAL OF RADIOLOGY», 2024, 179, Article number: 111679, pp. 1 - 6 [articolo]Open Access
Marfisi, D.; Giannelli, M.; Marzi, C.; Del Meglio, J.; Barucci, A.; Masturzo, L.; Vignali, C.; Mascalchi, M.; Traino, A.; Casolo, G.; Diciotti, S.; Tessa, C., Test-retest repeatability of myocardial radiomic features from quantitative cardiac magnetic resonance T1 and T2 mapping, «MAGNETIC RESONANCE IMAGING», 2024, 113, Article number: 110217, pp. 1 - 10 [articolo]Open Access
Formelli, B; Salvadori, E; Barbato, C; Barucci, E; Cardaci, C; Cesari, F; Giusti, B; Chiti, S; Diciotti, S; Gori, AM; Marzi, C; Pescini, F; Arba, F; Pracucci, G; Ginestroni, A; Fainardi, E; Marcucci, R; Poggesi, A, ASSOCIATIONS OF RISK SCORES WITH SVD BURDEN AND PROGRESSION IN ELDERLY PATIENTS ON ORAL ANTICOAGULANTS FOR ATRIAL FIBRILLATION: THE STRAT-AF STUDY, in: European Stroke Organization Conference 2023, 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND, SAGE PUBLICATIONS LTD, «INTERNATIONAL JOURNAL OF STROKE», 2023, 18, pp. 202 - 203 (atti di: European Stroke Organization Conference 2023, Monaco di Baviera, 24-26/05/2023) [atti di convegno-abstract]
Salvadori E.; Barucci E.; Barbato C.; Formelli B.; Cesari F.; Chiti S.; Diciotti S.; Giusti B.; Gori A.M.; Marzi C.; Pescini F.; Pracucci G.; Fainardi E.; Marcucci R.; Poggesi A., Cognitive phenotypes and factors associated with cognitive decline in a cohort of older patients with atrial fibrillation: The Strat-AF study, «EUROPEAN JOURNAL OF NEUROLOGY», 2023, 30, pp. 849 - 860 [articolo]Open Access
Marzi C.; Marfisi D.; Barucci A.; Del Meglio J.; Lilli A.; Vignali C.; Mascalchi M.; Casolo G.; Diciotti S.; Traino A.C.; Tessa C.; Giannelli M., Collinearity and Dimensionality Reduction in Radiomics: Effect of Preprocessing Parameters in Hypertrophic Cardiomyopathy Magnetic Resonance T1 and T2 Mapping, «BIOENGINEERING», 2023, 10, Article number: 80, pp. 1 - 24 [articolo]Open Access
Paolucci, C; Giorgini, F; Scheda, R; Alessi, FV; Diciotti, S, Early prediction of Autism Spectrum Disorders through interaction analysis in home videos and explainable artificial intelligence, «COMPUTERS IN HUMAN BEHAVIOR», 2023, 148, Article number: 107877, pp. 1 - 12 [articolo]Open Access
Marzi, Chiara; Scheda, Riccardo; Salvadori, Emilia; Giorgio, Antonio; De Stefano, Nicola; Poggesi, Anna; Inzitari, Domenico; Pantoni, Leonardo; Mascalchi, Mario; Diciotti, Stefano, Fractal dimension of the cortical gray matter outweighs other brain MRI features as a predictor of transition to dementia in patients with mild cognitive impairment and leukoaraiosis, «FRONTIERS IN HUMAN NEUROSCIENCE», 2023, 17, Article number: 1231513, pp. 1 - 12 [articolo]Open Access
