Sfoglia per Relatore
Artificial intelligence techniques for the classification of cardiotocographic signals
2020/2021 DANIELE, BENIAMINO
Attenuation correction of 99mTc-MAA SPECT images for 90Y-labeled glass microspheres liver radioembolization
2017/2018 DEMINO, LAURA
Blood flow velocity for transcatheter aortic valve implantation microsurgery
2015/2016 MARTENA, GIOVANNI LUCA
Cardiorespiratory interactions in newborns during sleep : linear and nonlinear multiparametric analysis
2015/2016 PINI, NICOLO'
Characterization of autonomic and cardiorespiratory control in newborn populations at risk for Sudden Infant Death Syndrome
LUCCHINI, MARISTELLA
A deep learning approach for the diagnosis of intrauterine growth restriction using fetal heart rate signals
2023/2024 Spuri Forotti, Federica
Development of methods for the employment of Near Infrared Spectroscopy (NIRS) Devices in clinics and research
MOLTENI, ERIKA
Evaluation of Geometrical Accuracy in Single Isocenter Multi-Target Cranial Stereotactic Radiotherapy and Stereotactic Radiosurgery
2022/2023 Sarneri, Enrico
Hidden Markov Models and Deep Neural Networks: segmentation of the Fetal Heart Rate signal into behavioral patterns
2022/2023 Subitoni, Luca
Implementation of a 3D morphological registration method for functional ultrasound brain imaging
2018/2019 QUADRARO, DAMIANO
Investigating hepatic microvascular dynamics through functional ultrasound imaging
2016/2017 REALINI, GIULIA
Mining medical data to develop clinical decision making tools in hemodialysis: prediction of cardiovascular events
ION TITAPICCOLO, JASMINE
Modelli machine learning con parametri fetali e materni : contributo alla classificazione di stati di ridotta crescita fetale
2017/2018 ZARDIN, MATTEO
Multi-parametric analysis of body position effects in heart rate variability in premature babies
2013/2014 LUCCHINI, MARISTELLA
Multi-parametric analysis of heart rate variability with novel entropy based measures in ex-preterm babies
2014/2015 RUSIN, ELENA
Multi-parametric linear and non-linear analysis of heart rate and respiration variability in premature and term newborns
2014/2015 VARISCO, GABRIELE
Multiparametric analysis of body position effects in heart rate variability in premature babies
2012/2013 COVA, STEFANO
Physiology based machine learning and data analytics for perinatal monitoring - A novel framework for a comprehensive maternal, fetal, and neonatal profiling
2020/2021 Pini, Nicolo'
Predicting fetal weight disorders in diabetic pregnancies: an explainable machine learning approach
2023/2024 NOVELLI, ELENA
Quantitative electroencephalography as a tool to characterize brain activity in infants of diabetic mothers
2019/2020 Forconi, Mariachiara
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