MOCCIA, SARA

MOCCIA, SARA  

Istituto di Biorobotica  

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Risultati 1 - 20 di 83 (tempo di esecuzione: 0.015 secondi).
Titolo Data di pubblicazione Autore(i) File
A 3D CNN for preterm-infants’ movement detection in NICUs from depth streams 1-gen-2021 Migliorelli, Lucia; Moccia, Sara; Pio Cannata, Giuseppe; Galli, Alessia; Ercoli, Ilaria; Mandolini, Luigi; Carnielli, Virgilio; Frontoni, Emanuele
An accurate estimation of preterm infants’ limb pose from depth images using deep neural networks with densely connected atrous spatial convolutions 1-gen-2022 Migliorelli, Lucia; Frontoni, Emanuele; Moccia, Sara
AIM in Endoscopy Procedures 1-gen-2021 Marzullo, Aldo; Moccia, Sara; Calimeri, Francesco; De Momi, Elena
AIM in Medical Robotics 1-gen-2021 Moccia, Sara; De Momi, Elena
Artificial Intelligence for Ultrasound Informative Image Selection of Metacarpal Head Cartilage. A Pilot Study 1-gen-2021 Cipolletta, Edoardo; Fiorentino, Maria Chiara; Moccia, Sara; Guidotti, Irene; Grassi, Walter; Filippucci, Emilio; Frontoni, Emanuele
Artificial intelligence in clinical endoscopy: Insights in the field of videomics 1-gen-2022 Paderno, Alberto; Gennarini, Francesca; Sordi, Alessandra; Montenegro, Claudia; Lancini, Davide; Villani, Francesca Pia; Moccia, Sara; Piazza, Cesare
Artificial intelligence with spatial-attention for ventricular volumes and mass assessment in cardiac magnetic resonance images with susceptibility artifacts 1-gen-2022 Penso, M; Babbaro, M; Guglielmo, M; Moccia, S; Giacari, G M; Chiesa, M; Maragna, R; Rabbat, M G; Pepi, M; Pontone, G
Asymmetric Three-dimensional Convolutions For Preterm Infants' Pose Estimation 1-gen-2021 Migliorelli, Lucia; Berardini, Daniele; Rossini, Francesca; Frontoni, Emanuele; Carnielli, Virgilio; Moccia, Sara
Augmented microscopy for DNA damage quantification: A machine learning tool for environmental, medical and health sciences 1-gen-2019 Bernardini, M.; Ferri, A.; Migliorelli, L.; Moccia, S.; Romeo, L.; Silvestri, S.; Tiano, L.; Mancini, A.
Automated classification of hand gestures using a wristband and machine learning for possible application in pill intake monitoring 1-gen-2022 Moccia, Sara; Solbiati, Sarah; Khornegah, Mahshad; Bossi, Federica FS; Caiani, Enrico G
Automated Left and Right Chamber Segmentation in Cardiac MRI Using Dense Fully Convolutional Neural Network 1-gen-2020 Penso, M.; Moccia, S.; Scafuri, S.; Muscogiuri, G.; Pontone, G.; Pepi, M.; Caiani, E. G.
Automated Left and Right Ventricular Chamber Segmentation in Cardiac Magnetic Resonance Images Using Dense Fully Convolutional Neural Network 1-gen-2021 Penso, Marco; Moccia, Sara; Scafuri, Stefano; Muscogiuri, Giuseppe; Pontone, Gianluca; Pepi, Mauro; Caiani, Enrico Gianluca
Automated Scar Segmentation from CMR-LGE Images Using a Deep Learning Approach 1-gen-2018 Moccia, S.; Banali, R.; Martini, C.; Moscogiuri, G.; Pontone, G.; Pepi, M.; Caiani, E. G.
Automatic speech analysis to early detect functional cognitive decline in elderly population 1-gen-2019 Ambrosini, E.; Caielli, M.; Milis, M.; Loizou, C.; Azzolino, D.; Damanti, S.; Bertagnoli, L.; Cesari, M.; Moccia, S.; Cid, M.; De Isla, C. G.; Salamanca, P.; Borghese, N. A.; Ferrante, S.
Automatic workflow for narrow-band laryngeal video stitching 1-gen-2016 Moccia, S.; Penza, V.; Vanone, G. O.; De Momi, E.; Mattos, L. S.
The babyPose dataset 1-gen-2020 Migliorelli, L.; Moccia, S.; Pietrini, R.; Carnielli, V. P.; Frontoni, E.
Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics 1-gen-2018 Moccia, S.; De Momi, E.; El Hadji, S.; Mattos, L. S.
Brain-vascular segmentation for SEEG planning via a 3D fully-convolutional neural network 1-gen-2019 Hadji, S. E.; Moccia, S.; Scorza, D.; Rizzi, M.; Cardinale, F.; Baselli, G.; Momi, E. D.
A cloud-based healthcare infrastructure for neonatal intensive-care units 1-gen-2019 Migliorelli, L.; Cenci, A.; Bernardini, M.; Romeo, L.; Moccia, S.; Zingaretti, P.
Computer-assisted liver graft steatosis assessment via learning-based texture analysis 1-gen-2018 Moccia, S.; Mattos, L. S.; Patrini, I.; Ruperti, M.; Pote, N.; Dondero, F.; Cauchy, F.; Sepulveda, A.; Soubrane, O.; De Momi, E.; Diaspro, A.; Cesaretti, M.