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N. Pini, G. Esposito, S. Tagliaferri, M. Lucchini, M. Campanile, G. Magenes and M.G. Signorini, “A Machine Learning Approach to Monitor the Emergence of Late Intrauterine Growth Restriction, Frontiers in Artificial Intelligence-Medicine and Public Health” (2021). doi: 10.3389/frai.2021.622616
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E. Sulas, M. Urru, R. Tumbarello, L. Raffo, R. Sameni, D. Pani, “A non-invasive multimodal foetal ECG–Doppler dataset for antenatal cardiology research”. Scientific Data 8, 30 (2021). doi: 10.1038/s41597-021-00811-3
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E. Sulas, G. Pili, E. Gusai, G. Baldazzi, M. Urru, R. Tumbarello, L. Raffo, D. Pani, “A Novel Tool for Non-Invasive Fetal Electrocardiography Research: the NInFEA Dataset,” 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 2020, pp. 5631-5634, doi: 10.1109/EMBC44109.2020.9176327
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