Mascalchi, M.; Marzi, C.; Diciotti, S., Artificial intelligence propels lung cancer screening: innovations and the challenges of explainability and reproducibility, «SIGNAL TRANSDUCTION AND TARGETED THERAPY», 2025, 10, pp. 1 - 2 [replica/breve intervento]Open Access
Oberdier, Mt; Neri, L; Orro, A; Carrick, Rt; Nobile, Ms; Jaipalli, S; Khan, M; Diciotti, S; Borghi, C; Halperin, Hr, Sudden cardiac arrest prediction via deep learning electrocardiogram analysis, «EUROPEAN HEART JOURNAL. DIGITAL HEALTH», 2025, 6, pp. 170 - 179 [articolo]Open Access
Robertson, J. W.; Adanyeguh, I.; Bender, B.; Boesch, S.; Brunetti, A.; Cocozza, S.; Coutinho, L.; Deistung, A.; Diciotti, S.; Dogan, I.; Durr, A.; Fernandez-Ruiz, J.; Goricke, S. L.; Grisoli, M.; Han, S.; Mariotti, C.; Marzi, C.; Mascalchi, M.; Mochel, F.; Nachbauer, W.; Nanetti, L.; Nigri, A.; Ono, S. E.; Onyike, C. U.; Prince, J. L.; Reetz, K.; Romanzetti, S.; Sacca, F.; Synofzik, M.; Teive, H. A. G.; Thomopoulos, S. I.; Thompson, P. M.; Timmann, D.; Ying, S. H.; Harding, I. H.; Hernandez-Castillo, C. R., The Pattern and Stages of Atrophy in Spinocerebellar Ataxia Type 2: Volumetrics from ENIGMA-Ataxia, «MOVEMENT DISORDERS», 2025, in press, pp. 1 - 11 [articolo]
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]
Lai, M.; Marzi, C.; Mascalchi, M.; Diciotti, S., Brain MRI Synthesis Using Stylegan2-ADA, in: Proceedings - International Symposium on Biomedical Imaging, 345 E 47TH ST, NEW YORK, NY 10017 USA, 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]
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
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]
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
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]
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]
Mascalchi, M.; Cavigli, E.; Picozzi, G.; Cozzi, D.; De Luca, G. R.; Diciotti, S., The Azygos Esophageal Recess Is Not to Be Missed in Screening Lung Cancer With LDCT, «JOURNAL OF THORACIC IMAGING», 2024, in press, pp. 1 - 6 [articolo]
De Luca, G. R.; Diciotti, S.; Mascalchi, M., The Pivotal Role of Baseline LDCT for Lung Cancer Screening in the Era of Artificial Intelligence, «ARCHIVOS DE BRONCONEUMOLOGÍA», 2024, in press, pp. 1 - 9 [articolo]
