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 [Comment or similar]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 [Scientific article]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 [Scientific article]
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) [Contribution to conference proceedings]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 [Scientific article]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) [Contribution to conference proceedings]
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, 2024, pp. 1 - 5 (atti di: 21st IEEE International Symposium on Biomedical Imaging, ISBI 2024, grc, 2024) [Contribution to conference proceedings]
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, 2024, pp. 27 - 37 (atti di: 10th EAI International Conference on Advancements of Science and Technology, EAI ICAST 2022, eth, 2022) [Contribution to conference proceedings]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, 2024, 15019, pp. 124 - 136 (atti di: 33rd International Conference on Artificial Neural Networks, ICANN 2024, che, 2024) [Contribution to conference proceedings]
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 [Comment or similar]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 [Scientific article]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 [Scientific article]
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 [Scientific article]
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 [Scientific article]
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 [Scientific article]
