Edoardo Spairani

According to our database, Edoardo Spairani authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

AI-based modular warning machine for risk identification in proximity healthcare.

Chiara Razzetta, Shahryar Noei, Federico Barbarossa, Edoardo Spairani, Monica Roascio, Elisa Barbi, Giulia Ciacci, Sara Sommariva, Sabrina Guastavino, Michele Piana, Matteo Lenge, Gabriele Arnulfo, Giovanni Magenes, Elvira Maranesi, Giulio Amabili, Anna Maria Massone, Federico Benvenuto, Giuseppe Jurman, Diego Sona, Cristina Campi

CoRR, June, 2025

Prediction of IUGR condition at birth by means of CTG recordings and a ResNet model.

Edoardo Spairani, Giulio Steyde, Federica Spuri Forotti, Giovanni Magenes, Maria G. Signorini

Comput. Biol. Medicine, 2025

Automated Septum Detection in Echocardiographic Images Using Hough Transform.

Edoardo Spairani, Francesco Podda, Edoardo Bosco, Michela Ferrari, Marco Piastra, Giulia Matrone, Giovanni Magenes

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2025

A Variational Autoencoder Based Framework for Classifying Apical 2-Chamber and 4-Chamber Views.

Edoardo Spairani, Francesco Podda, Edoardo Bosco, Michela Ferrari, Marco Piastra, Giulia Matrone, Giovanni Magenes

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2025

Semi-simulated Data for Improving Fetal QRS Detection Using Deep Neural Networks.

Giulio Steyde, Alessandra Galli, Andrea Cardinali, Edoardo Spairani, Giovanni Magenes, Maria G. Signorini

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

Deep Learning Driven Classification of Echocardiographic Apical Views: An Approach Based on Variational Autoencoders and Multilayer Perceptrons.

Francesco Podda, Edoardo Spairani, Edoardo Bosco, Michela Ferrari, Marco Piastra, Giulia Matrone, Giovanni Magenes

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

Unsupervised Assessment of Coronary Artery Tortuosity Through Hidden Markov Models.

Michela Ferrari, Edoardo Spairani, Mario Urtis, Antonio Tescari, Maurizia Grasso, Eloisa Arbustini, Giovanni Magenes

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2024

Fetal heart rate spectral analysis in raw signals and PRSA-derived curve: normal and pathological fetuses discrimination.

Giulio Steyde, Edoardo Spairani, Giovanni Magenes, Maria G. Signorini

Medical Biol. Eng. Comput., February, 2024

Asemi-Supervised Deep Learning Approach to Automate the Identification of Fetal Behavioral States in Fetal Heart Rate Tracings.

Edoardo Spairani, Giulio Steyde, Luca Subitoni, Giovanni Magenes, Maria G. Signorini

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

2023

Fetal states identification in cardiotocographic tracings through discrete emissions multivariate hidden Markov models.

Edoardo Spairani, Giulio Steyde, Salvatore Tagliaferri, Maria G. Signorini, Giovanni Magenes

Comput. Methods Programs Biomed., October, 2023

2022

A Novel Large Structured Cardiotocographic Database.

Edoardo Spairani, Beniamino Daniele, Giovanni Magenes, Maria G. Signorini

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Influence of Gestational Diabetes on Fetal Heart Rate in Antepartum Cardiotocographic Recordings.

Giulio Steyde, Beniamino Daniele, Edoardo Spairani, Giovanni Magenes, Maria Gabriella Signorini

Proceedings of the Computing in Cardiology, 2022

Mountain Rescuers through the computation of Sample Entropy.

Edoardo Spairani, Ana Belén Carballo Leyenda, José A. Rodriguez-Marroyo, Gianluca De Toma, Giovanni Magenes

Proceedings of the IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, 2022

Discriminating Healthy and IUGR fetuses through Machine Learning models.

Beniamino Daniele, Giulio Steyde, Edoardo Spairani, Giovanni Magenes, Maria G. Signorini

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022