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Lucia Migliorelli
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Preterm infants’ pose estimation with spatio-temporal features
S Moccia, L Migliorelli, V Carnielli, E Frontoni
IEEE Transactions on Biomedical Engineering 67 (8), 2370-2380, 2019
662019
Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients
J Montomoli, L Romeo, S Moccia, M Bernardini, L Migliorelli, D Berardini, ...
Journal of Intensive Medicine 1 (02), 110-116, 2021
462021
CaRiSMA 1.0: cardiac risk self-monitoring assessment
A Agostinelli, M Morettini, A Sbrollini, E Maranesi, L Migliorelli, F Di Nardo, ...
The Open Sports Sciences Journal 10 (1), 2017
292017
Real-time human pose estimation on a smart walker using convolutional neural networks
M Palermo, S Moccia, L Migliorelli, E Frontoni, CP Santos
Expert Systems with Applications 184, 115498, 2021
272021
Heartbeat detection by laser doppler vibrometry and machine learning
L Antognoli, S Moccia, L Migliorelli, S Casaccia, L Scalise, E Frontoni
Sensors 20 (18), 5362, 2020
222020
A decision support system for diabetes chronic care models based on general practitioner engagement and EHR data sharing
E Frontoni, L Romeo, M Bernardini, S Moccia, L Migliorelli, M Paolanti, ...
IEEE Journal of Translational Engineering in Health and Medicine 8, 1-12, 2020
202020
A deep-learning framework running on edge devices for handgun and knife detection from indoor video-surveillance cameras
D Berardini, L Migliorelli, A Galdelli, E Frontoni, A Mancini, S Moccia
Multimedia Tools and Applications 83 (7), 19109-19127, 2024
192024
The babyPose dataset
L Migliorelli, S Moccia, R Pietrini, VP Carnielli, E Frontoni
Data in brief 33, 106329, 2020
192020
A machine learning approach for postoperative outcome prediction: surgical data science application in a thoracic surgery setting
M Salati, L Migliorelli, S Moccia, M Andolfi, A Roncon, GM Guiducci, ...
World Journal of Surgery 45, 1585-1594, 2021
182021
Preterm infants' limb-pose estimation from depth images using convolutional neural networks
S Moccia, L Migliorelli, R Pietrini, E Frontoni
2019 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2019
182019
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
S Casaccia, R Naccarelli, S Moccia, L Migliorelli, E Frontoni, GM Revel
Measurement 184, 109946, 2021
132021
Supervised CNN strategies for optical image segmentation and classification in interventional medicine
S Moccia, L Romeo, L Migliorelli, E Frontoni, P Zingaretti
Deep learners and deep learner descriptors for medical applications, 213-236, 2020
112020
Fall detection for elderly-people monitoring using learned features and recurrent neural networks
D Berardini, S Moccia, L Migliorelli, I Pacifici, P di Massimo, M Paolanti, ...
Experimental Results 1, e7, 2020
102020
Learning-based screening of endothelial dysfunction from photoplethysmographic signals
C Calamanti, S Moccia, L Migliorelli, M Paolanti, E Frontoni
Electronics 8 (3), 271, 2019
102019
Evaluating the autonomy of children with autism spectrum disorder in washing hands: a deep-learning approach
D Berardini, L Migliorelli, S Moccia, M Naldini, G De Angelis, E Frontoni
2020 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2020
82020
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation
C Gonçalves, JM Lopes, S Moccia, D Berardini, L Migliorelli, CP Santos
Expert Systems with Applications 228, 120288, 2023
72023
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis
L Migliorelli, D Berardini, K Cela, M Coccia, L Villani, E Frontoni, S Moccia
Computers in Biology and Medicine 163, 107194, 2023
52023
Accountable deep-learning-based vision systems for preterm infant monitoring
L Migliorelli, S Tiribelli, A Cacciatore, B Giovanola, E Frontoni, S Moccia
Computer 56 (5), 84-93, 2023
42023
MyDi application: Towards automatic activity annotation of young patients with Type 1 diabetes
L Migliorelli, S Moccia, I Avellino, MC Fiorentino, E Frontoni
2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT), 220-224, 2019
42019
An accurate estimation of preterm infants’ limb pose from depth images using deep neural networks with densely connected atrous spatial convolutions
L Migliorelli, E Frontoni, S Moccia
Expert Systems with Applications 204, 117458, 2022
32022
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