Lucia Migliorelli

发表

Learning-Based Screening of Endothelial Dysfunction From Photoplethysmographic Signals

Emanuele Frontoni, Sara Moccia, Chiara Calamanti, 2019, Electronics.

Preterm infants' limb-pose estimation from depth images using convolutional neural networks

Emanuele Frontoni, Sara Moccia, Lucia Migliorelli, 2019, 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Evaluating the autonomy of children with autism spectrum disorder in washing hands: a deep-learning approach

Emanuele Frontoni, Sara Moccia, Lucia Migliorelli, 2020, 2020 IEEE Symposium on Computers and Communications (ISCC).

A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data Sharing

Emanuele Frontoni, Luca Romeo, Adriano Mancini, 2020, IEEE Journal of Translational Engineering in Health and Medicine.

Augmented Microscopy for DNA Damage Quantification: A Machine Learning Tool for Environmental, Medical and Health Sciences

Luca Romeo, Adriano Mancini, Sara Moccia, 2019 .

Heartbeat Detection by Laser Doppler Vibrometry and Machine Learning

Emanuele Frontoni, Lorenzo Scalise, Sara Moccia, 2020, Sensors.

A Cloud-Based Healthcare Infrastructure for Neonatal Intensive-Care Units

Luca Romeo, Primo Zingaretti, Sara Moccia, 2019 .

Fall detection for elderly-people monitoring using learned features and recurrent neural networks

Emanuele Frontoni, Sara Moccia, Lucia Migliorelli, 2020, Experimental Results.

CaRiSMA 1.0: Cardiac Risk Self-Monitoring Assessment

Sandro Fioretti, Lucia Migliorelli, Angela Agostinelli, 2017 .

Supervised CNN Strategies for Optical Image Segmentation and Classification in Interventional Medicine

Emanuele Frontoni, Luca Romeo, Primo Zingaretti, 2020 .

Preterm Infants’ Pose Estimation With Spatio-Temporal Features

Emanuele Frontoni, Sara Moccia, Lucia Migliorelli, 2019, IEEE Transactions on Biomedical Engineering.

The babyPose dataset

Emanuele Frontoni, Sara Moccia, Lucia Migliorelli, 2020, Data in brief.

MyDi application: Towards automatic activity annotation of young patients with Type 1 diabetes

Emanuele Frontoni, Sara Moccia, Lucia Migliorelli, 2019, 2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT).

End-to-end semantic joint detection and limb-pose estimation from depth images of preterm infants in NICUs

Emanuele Frontoni, Sara Moccia, Lucia Migliorelli, 2021, 2021 IEEE Symposium on Computers and Communications (ISCC).

Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks

Emanuele Frontoni, Cristina P. Santos, Sara Moccia, 2021, Expert Syst. Appl..

Development of a measurement setup to detect the level of physical activity and social distancing of ageing people in a social garden during COVID-19 pandemic

Gian Marco Revel, Emanuele Frontoni, Sara Moccia, 2021, Measurement.