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Mostrati risultati da 1 a 9 di 9
High-frame-rate coherence imaging of the heart with ultrasound diverging waves
2020-01-01 Matrone, G.; Spairani, E.; Matrone, B.; Ramalli, A.
Generalization of a deep learning network for beamforming and segmentation of ultrasound images
2021-01-01 Seoni, S.; Matrone, G.; Casali, N.; Spairani, E.; Meiburger, K. M.
A Novel Large Structured Cardiotocographic Database
2022-01-01 Spairani, E.; Daniele, B.; Magenes, G.; Signorini, M. G.
Discriminating Healthy and IUGR fetuses through Machine Learning models
2022-01-01 Daniele, B.; Steyde, G.; Spairani, E.; Magenes, G.; Signorini, M. G.
Mountain Rescuers through the computation of Sample Entropy
2022-01-01 Spairani, E.; Leyenda, A. B. C.; Rodriguez-Marroyo, J. A.; De Toma, G.; Magenes, G.
Improving the Quality of Monostatic Synthetic-Aperture Ultrasound Imaging Through Deep-Learning-Based Beamforming
2022-01-01 Toffali, E; Spairani, E; Ramalli, A; Matrone, G
A deep learning mixed-data type approach for the classification of FHR signals
2022-01-01 Spairani, E.; Daniele, B.; Signorini, M. G.; Magenes, G.
Fetal heart rate spectral analysis in raw signals and PRSA-derived curve: normal and pathological fetuses discrimination
2024-01-01 Steyde, Giulio; Spairani, Edoardo; Magenes, Giovanni; Signorini, Maria G.
Artificial intelligence solutions for processing, analyzing and classifying fetal heart rate variability series: a multi-parametric approach
2024-03-14 Spairani, Edoardo
Mostrati risultati da 1 a 9 di 9
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