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Edoardo Spairani

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A Novel Large Structured Cardiotocographic DatabaseEdoardo Spairani, Beniamino Daniele, Giovanni Magenes, et al.
Frontiers in Bioengineering and Biotechnology|August 25, 2022
A deep learning mixed-data type approach for the classification of FHR signalsEdoardo Spairani, Beniamino Daniele, Maria Gabriella Signorini, et al.
Medical & Biological Engineering & Computing|October 27, 2023
Fetal heart rate spectral analysis in raw signals and PRSA-derived curve: normal and pathological fetuses discriminationGiulio Steyde, Edoardo Spairani, Giovanni Magenes, et al.
Computers in Biology and Medicine|April 4, 2025
Prediction of IUGR condition at birth by means of CTG recordings and a ResNet modelEdoardo Spairani, Giulio Steyde, Federica Spuri Forotti, et al.
Computer Methods and Programs in Biomedicine|August 2, 2023
Fetal states identification in cardiotocographic tracings through discrete emissions multivariate hidden Markov modelsEdoardo Spairani, Giulio Steyde, Salvatore Tagliaferri, et al.
Frontiers in Digital Health|June 30, 2026
A multidimensional ensemble pipeline for early detection of IUGR condition through CTGEdoardo Spairani, Giulio Steyde, Francesco Podda, et al.
IEEE Open Journal of Engineering in Medicine and Biology|June 20, 2024
A Deep Learning Approach for Beamforming and Contrast Enhancement of Ultrasound Images in Monostatic Synthetic Aperture Imaging: A Proof-of-ConceptEdoardo Bosco, Edoardo Spairani, Eleonora Toffali, et al.
Computer Methods and Programs in Biomedicine|November 25, 2025
CoroSAM: adaptation of the Segment Anything Model for interactive segmentation in Coronary angiogramsMichela Ferrari, Mario Urtis, Edoardo Spairani, et al.
Biomedical Signal Processing and Control|July 3, 2026
A robust deep learning framework for automated fetal behavioral state classification: leveraging multi-center datasets to improve antepartum heart rate monitoringGiulio Steyde, Isabelle Mueller, Margaret C Shair, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A Novel Large Structured Cardiotocographic DatabaseEdoardo Spairani, Beniamino Daniele, Giovanni Magenes, et al.
Frontiers in Bioengineering and Biotechnology|August 25, 2022
A deep learning mixed-data type approach for the classification of FHR signalsEdoardo Spairani, Beniamino Daniele, Maria Gabriella Signorini, et al.
Medical & Biological Engineering & Computing|October 27, 2023
Fetal heart rate spectral analysis in raw signals and PRSA-derived curve: normal and pathological fetuses discriminationGiulio Steyde, Edoardo Spairani, Giovanni Magenes, et al.
Computers in Biology and Medicine|April 4, 2025
Prediction of IUGR condition at birth by means of CTG recordings and a ResNet modelEdoardo Spairani, Giulio Steyde, Federica Spuri Forotti, et al.
Computer Methods and Programs in Biomedicine|August 2, 2023
Fetal states identification in cardiotocographic tracings through discrete emissions multivariate hidden Markov modelsEdoardo Spairani, Giulio Steyde, Salvatore Tagliaferri, et al.
Frontiers in Digital Health|June 30, 2026
A multidimensional ensemble pipeline for early detection of IUGR condition through CTGEdoardo Spairani, Giulio Steyde, Francesco Podda, et al.
IEEE Open Journal of Engineering in Medicine and Biology|June 20, 2024
A Deep Learning Approach for Beamforming and Contrast Enhancement of Ultrasound Images in Monostatic Synthetic Aperture Imaging: A Proof-of-ConceptEdoardo Bosco, Edoardo Spairani, Eleonora Toffali, et al.
Computer Methods and Programs in Biomedicine|November 25, 2025
CoroSAM: adaptation of the Segment Anything Model for interactive segmentation in Coronary angiogramsMichela Ferrari, Mario Urtis, Edoardo Spairani, et al.
Biomedical Signal Processing and Control|July 3, 2026
A robust deep learning framework for automated fetal behavioral state classification: leveraging multi-center datasets to improve antepartum heart rate monitoringGiulio Steyde, Isabelle Mueller, Margaret C Shair, et al.
Pageof 1