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Edoardo Spairani
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2020 – today
- 2025
- [j3]Edoardo Spairani
, Giulio Steyde
, Federica Spuri Forotti, Giovanni Magenes, Maria G. Signorini:
Prediction of IUGR condition at birth by means of CTG recordings and a ResNet model. Comput. Biol. Medicine 190: 110123 (2025) - [c10]Michela Ferrari
, Edoardo Spairani, Mario Urtis
, Antonio Tescari
, Maurizia Grasso
, Eloisa Arbustini
, Giovanni Magenes
:
Unsupervised Assessment of Coronary Artery Tortuosity Through Hidden Markov Models. AIME (2) 2025: 143-147 - [c9]Giulio Steyde
, Alessandra Galli
, Andrea Cardinali, Edoardo Spairani, Giovanni Magenes
, Maria G. Signorini
:
Semi-simulated Data for Improving Fetal QRS Detection Using Deep Neural Networks. AIME (2) 2025: 401-405 - [c8]Francesco Podda
, Edoardo Spairani, Edoardo Bosco, Michela Ferrari
, Marco Piastra
, Giulia Matrone
, Giovanni Magenes
:
Deep Learning Driven Classification of Echocardiographic Apical Views: An Approach Based on Variational Autoencoders and Multilayer Perceptrons. AIME (1) 2025: 418-427 - [c7]Edoardo Spairani, Francesco Podda
, Edoardo Bosco, Michela Ferrari, Marco Piastra, Giulia Matrone, Giovanni Magenes:
A Variational Autoencoder Based Framework for Classifying Apical 2-Chamber and 4-Chamber Views. MeMeA 2025: 1-6 - [c6]Edoardo Spairani, Francesco Podda
, Edoardo Bosco, Michela Ferrari, Marco Piastra, Giulia Matrone, Giovanni Magenes:
Automated Septum Detection in Echocardiographic Images Using Hough Transform. MeMeA 2025: 1-5 - [i1]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:
AI-based modular warning machine for risk identification in proximity healthcare. CoRR abs/2506.15823 (2025) - 2024
- [j2]Giulio Steyde
, Edoardo Spairani
, Giovanni Magenes, Maria G. Signorini:
Fetal heart rate spectral analysis in raw signals and PRSA-derived curve: normal and pathological fetuses discrimination. Medical Biol. Eng. Comput. 62(2): 437-447 (2024) - [c5]Edoardo Spairani, Giulio Steyde, Luca Subitoni, Giovanni Magenes, Maria G. Signorini:
Asemi-Supervised Deep Learning Approach to Automate the Identification of Fetal Behavioral States in Fetal Heart Rate Tracings. MeMeA 2024: 1-6 - 2023
- [j1]Edoardo Spairani
, Giulio Steyde
, Salvatore Tagliaferri
, Maria G. Signorini
, Giovanni Magenes
:
Fetal states identification in cardiotocographic tracings through discrete emissions multivariate hidden Markov models. Comput. Methods Programs Biomed. 240: 107736 (2023) - 2022
- [c4]Beniamino Daniele, Giulio Steyde
, Edoardo Spairani
, Giovanni Magenes
, Maria G. Signorini:
Discriminating Healthy and IUGR fetuses through Machine Learning models. BHI 2022: 1-4 - [c3]Edoardo Spairani
, Ana Belén Carballo Leyenda
, José A. Rodriguez-Marroyo, Gianluca De Toma, Giovanni Magenes
:
Mountain Rescuers through the computation of Sample Entropy. BSN 2022: 1-4 - [c2]Giulio Steyde
, Beniamino Daniele, Edoardo Spairani
, Giovanni Magenes, Maria Gabriella Signorini:
Influence of Gestational Diabetes on Fetal Heart Rate in Antepartum Cardiotocographic Recordings. CinC 2022: 1-4 - [c1]Edoardo Spairani
, Beniamino Daniele, Giovanni Magenes
, Maria G. Signorini:
A Novel Large Structured Cardiotocographic Database. EMBC 2022: 1375-1378
Coauthor Index

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