Lucia Migliorelli
Orcid: 0000-0003-2388-1501
According to our database1,
Lucia Migliorelli
authored at least 21 papers
between 2019 and 2024.
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Bibliography
2024
A deep-learning framework running on edge devices for handgun and knife detection from indoor video-surveillance cameras.
Multim. Tools Appl., 2024
2023
A deep learning-based telemonitoring application to automatically assess oral diadochokinesis in patients with bulbar amyotrophic lateral sclerosis.
Comput. Methods Programs Biomed., December, 2023
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation.
Expert Syst. Appl., October, 2023
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis.
Comput. Biol. Medicine, September, 2023
Computer, May, 2023
TwinEDA: a sustainable deep-learning approach for limb-position estimation in preterm infants' depth images.
Medical Biol. Eng. Comput., February, 2023
An AI-Driven Prototype for Groundwater Level Prediction: Exploring the Gorgovivo Spring Case Study.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023
A preliminary study on self-care telemonitoring of dysarthria in spinal muscular atrophy.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
An accurate estimation of preterm infants' limb pose from depth images using deep neural networks with densely connected atrous spatial convolutions.
Expert Syst. Appl., 2022
Comput. Methods Programs Biomed., 2022
Some Ethical Remarks on Deep Learning-Based Movements Monitoring for Preterm Infants: Green AI or Red AI?
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
AII, 2022
2021
Real-time human pose estimation on a smart walker using convolutional neural networks.
Expert Syst. Appl., 2021
End-to-end semantic joint detection and limb-pose estimation from depth images of preterm infants in NICUs.
Proceedings of the IEEE Symposium on Computers and Communications, 2021
Improving Preterm Infants' Joint Detection in Depth Images Via Dense Convolutional Neural Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
IEEE Trans. Biomed. Eng., 2020
Evaluating the autonomy of children with autism spectrum disorder in washing hands: a deep-learning approach.
Proceedings of the IEEE Symposium on Computers and Communications, 2020
2019
MyDi application: Towards automatic activity annotation of young patients with Type 1 diabetes.
Proceedings of the IEEE 23rd International Symposium on Consumer Technologies, 2019
Preterm infants' limb-pose estimation from depth images using convolutional neural networks.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019