| A deep learning mixed-data type approach for the classification of FHR signals E Spairani, B Daniele, MG Signorini, G Magenes Frontiers in bioengineering and biotechnology 10, 887549, 2022 | 15 | 2022 |
| A novel large structured cardiotocographic database E Spairani, B Daniele, G Magenes, MG Signorini 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 6 | 2022 |
| Generalization of a deep learning network for beamforming and segmentation of ultrasound images S Seoni, G Matrone, N Casali, E Spairani, KM Meiburger 2021 IEEE International Ultrasonics Symposium (IUS), 1-4, 2021 | 5 | 2021 |
| Fetal heart rate spectral analysis in raw signals and PRSA-derived curve: normal and pathological fetuses discrimination G Steyde, E Spairani, G Magenes, MG Signorini Medical & Biological Engineering & Computing 62 (2), 437-447, 2024 | 3 | 2024 |
| Improving the Quality of Monostatic Synthetic-Aperture Ultrasound Imaging Through Deep-Learning-Based Beamforming E Toffali, E Spairani, A Ramalli, G Matrone 2022 IEEE International Ultrasonics Symposium (IUS), 1-4, 2022 | 2 | 2022 |
| Fetal states identification in cardiotocographic tracings through discrete emissions multivariate hidden Markov models E Spairani, G Steyde, S Tagliaferri, MG Signorini, G Magenes Computer Methods and Programs in Biomedicine 240, 107736, 2023 | 1 | 2023 |
| Influence of Gestational Diabetes on Fetal Heart Rate in Antepartum Cardiotocographic Recordings G Steyde, B Daniele, E Spairani, G Magenes, MG Signorini 2022 Computing in Cardiology (CinC) 498, 1-4, 2022 | 1 | 2022 |
| High-frame-rate coherence imaging of the heart with ultrasound diverging waves G Matrone, E Spairani, B Matrone, A Ramalli 2020 IEEE International Ultrasonics Symposium (IUS), 1-4, 2020 | 1 | 2020 |
| Artificial intelligence solutions for processing, analyzing and classifying fetal heart rate variability series: a multi-parametric approach E Spairani Università degli studi di Pavia, 2024 | | 2024 |
| Monitoring fetal well-being and delivery outcomes in pregnancies complicated by gestational and pregestational diabetes S Tagliaferri, G Steyde, MG Trinchillo, M Campanile, E Spairani, ... | | 2023 |
| Single-channel, ultraportable, real-time imaging system based on deep learning: a proof-of-concept V Meacci, E Bosco, A Ramalli, E Boni, P Tortoli, D Mazierli, E Spairani, ... 2023 IEEE International Ultrasonics Symposium (IUS), 1-4, 2023 | | 2023 |
| Cardiotocography in antenatal fetal monitoring of diabetes-complicated pregnancies G Steyde, E Spairani, B Daniele, G Magenes, MG Signorini ... NATIONAL CONGRESS OF BIOENGINEERING. PROCEEDINGS., 1-4, 2023 | | 2023 |
| Hidden Markov Models for the identification of fetal phases in CTG recordings E Spairani, G Steyde, B Daniele, MG Signorini, G Magenes ... NATIONAL CONGRESS OF BIOENGINEERING. PROCEEDINGS., 1-4, 2023 | | 2023 |
| Discriminating Healthy and IUGR fetuses through Machine Learning models B Daniele, G Steyde, E Spairani, G Magenes, MG Signorini 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2022 | | 2022 |
| Automatic ECG Signal Quality Assessment in Mountain Rescuers Through the Computation of Sample Entropy E Spairani, ABC Leyenda, JA Rodriguez-Marroyo, G De Toma, ... 2022 IEEE-EMBS International Conference on Wearable and Implantable Body …, 2022 | | 2022 |
Giovanni MagenesProfessor of Biomedical Engineering, University of Pavia, ItalyVerified email at unipv.it
