Sfoglia per Autore
Learning-based screening of endothelial dysfunction from photoplethysmographic signals
2019-01-01 Calamanti, C.; Moccia, S.; Migliorelli, L.; Paolanti, M.; Frontoni, E.
Preterm infants' limb-pose estimation from depth images using convolutional neural networks
2019-01-01 Moccia, S.; Migliorelli, L.; Pietrini, R.; Frontoni, E.
Augmented microscopy for DNA damage quantification: A machine learning tool for environmental, medical and health sciences
2019-01-01 Bernardini, M.; Ferri, A.; Migliorelli, L.; Moccia, S.; Romeo, L.; Silvestri, S.; Tiano, L.; Mancini, A.
From deceased to bioengineered graft: New frontiers in liver transplantation
2019-01-01 Cesaretti, M.; Zarzavajian Le Bian, A.; Moccia, S.; Iannelli, A.; Schiavo, L.; Diaspro, A.
MyDi application: Towards automatic activity annotation of young patients with Type 1 diabetes
2019-01-01 Migliorelli, L.; Moccia, S.; Avellino, I.; Fiorentino, M. C.; Frontoni, E.
Evaluating the autonomy of children with autism spectrum disorder in washing hands: A deep-learning approach
2020-01-01 Berardini, D.; Migliorelli, L.; Moccia, S.; Naldini, M.; Angelis, G. D.; Frontoni, E.
Use of Artificial Intelligence as an Innovative Method for Liver Graft Macrosteatosis Assessment
2020-01-01 Cesaretti, M.; Brustia, R.; Goumard, C.; Cauchy, F.; Pote, N.; Dondero, F.; Paugam-Burtz, C.; Durand, F.; Paradis, V.; Diaspro, A.; Mattos, L.; Scatton, O.; Soubrane, O.; Moccia, S.
Towards realistic laparoscopic image generation using image-domain translation
2020-01-01 Marzullo, A.; Moccia, S.; Catellani, M.; Calimeri, F.; Momi, E. D.
A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data Sharing
2020-01-01 Frontoni, Emanuele; Romeo, Luca; Bernardini, Michele; Moccia, Sara; Migliorelli, Lucia; Paolanti, Marina; Ferri, Alessandro; Misericordia, Paolo; Mancini, Adriano; Zingaretti, Primo
Preterm Infants' Pose Estimation with Spatio-Temporal Features
2020-01-01 Moccia, S.; Migliorelli, L.; Carnielli, V.; Frontoni, E.
Transfer learning for informative-frame selection in laryngoscopic videos through learned features
2020-01-01 Patrini, I.; Ruperti, M.; Moccia, S.; Mattos, L. S.; Frontoni, E.; De Momi, E.
Supervised cnn strategies for optical image segmentation and classification in interventional medicine
2020-01-01 Moccia, S.; Romeo, L.; Migliorelli, L.; Frontoni, E.; Zingaretti, P.
A Novel Approach Based on Spatio-temporal Features and Random Forest for Scar Detection Using Cine Cardiac Magnetic Resonance Images
2020-01-01 Moccia, S.; Cagnoli, A.; Martini, C.; Moscogiuri, G.; Pepi, M.; Frontoni, E.; Pontone, G.; Caiani, E. G.
Inter-foetus Membrane Segmentation for TTTS Using Adversarial Networks
2020-01-01 Casella, A.; Moccia, S.; Frontoni, E.; Paladini, D.; De Momi, E.; Mattos, L. S.
A lumen segmentation method in ureteroscopy images based on a deep residual U-net architecture
2020-01-01 Lazo, J. F.; Marzullo, A.; Moccia, S.; Catellani, M.; Rosa, B.; Calimeri, F.; de Momi, E.; de Mathelin, M.
Heartbeat detection by laser doppler vibrometry and machine learning
2020-01-01 Antognoli, L.; Moccia, S.; Migliorelli, L.; Casaccia, S.; Scalise, L.; Frontoni, E.
Automated Left and Right Chamber Segmentation in Cardiac MRI Using Dense Fully Convolutional Neural Network
2020-01-01 Penso, M.; Moccia, S.; Scafuri, S.; Muscogiuri, G.; Pontone, G.; Pepi, M.; Caiani, E. G.
A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future
2020-01-01 Zaffino, P.; Moccia, S.; De Momi, E.; Spadea, M. F.
Fall detection for elderly-people monitoring using learned features and recurrent neural networks
2020-01-01 Berardini, D.; Moccia, S.; Migliorelli, L.; Pacifici, I.; Di Massimo, P.; Paolanti, M.; Frontoni, E.
The babyPose dataset
2020-01-01 Migliorelli, L.; Moccia, S.; Pietrini, R.; Carnielli, V. P.; Frontoni, E.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Learning-based screening of endothelial dysfunction from photoplethysmographic signals | 1-gen-2019 | Calamanti, C.; Moccia, S.; Migliorelli, L.; Paolanti, M.; Frontoni, E. | |
| Preterm infants' limb-pose estimation from depth images using convolutional neural networks | 1-gen-2019 | Moccia, S.; Migliorelli, L.; Pietrini, R.; Frontoni, E. | |
| 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. | |
| From deceased to bioengineered graft: New frontiers in liver transplantation | 1-gen-2019 | Cesaretti, M.; Zarzavajian Le Bian, A.; Moccia, S.; Iannelli, A.; Schiavo, L.; Diaspro, A. | |
| MyDi application: Towards automatic activity annotation of young patients with Type 1 diabetes | 1-gen-2019 | Migliorelli, L.; Moccia, S.; Avellino, I.; Fiorentino, M. C.; Frontoni, E. | |
| Evaluating the autonomy of children with autism spectrum disorder in washing hands: A deep-learning approach | 1-gen-2020 | Berardini, D.; Migliorelli, L.; Moccia, S.; Naldini, M.; Angelis, G. D.; Frontoni, E. | |
| Use of Artificial Intelligence as an Innovative Method for Liver Graft Macrosteatosis Assessment | 1-gen-2020 | Cesaretti, M.; Brustia, R.; Goumard, C.; Cauchy, F.; Pote, N.; Dondero, F.; Paugam-Burtz, C.; Durand, F.; Paradis, V.; Diaspro, A.; Mattos, L.; Scatton, O.; Soubrane, O.; Moccia, S. | |
| Towards realistic laparoscopic image generation using image-domain translation | 1-gen-2020 | Marzullo, A.; Moccia, S.; Catellani, M.; Calimeri, F.; Momi, E. D. | |
| A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data Sharing | 1-gen-2020 | Frontoni, Emanuele; Romeo, Luca; Bernardini, Michele; Moccia, Sara; Migliorelli, Lucia; Paolanti, Marina; Ferri, Alessandro; Misericordia, Paolo; Mancini, Adriano; Zingaretti, Primo | |
| Preterm Infants' Pose Estimation with Spatio-Temporal Features | 1-gen-2020 | Moccia, S.; Migliorelli, L.; Carnielli, V.; Frontoni, E. | |
| Transfer learning for informative-frame selection in laryngoscopic videos through learned features | 1-gen-2020 | Patrini, I.; Ruperti, M.; Moccia, S.; Mattos, L. S.; Frontoni, E.; De Momi, E. | |
| Supervised cnn strategies for optical image segmentation and classification in interventional medicine | 1-gen-2020 | Moccia, S.; Romeo, L.; Migliorelli, L.; Frontoni, E.; Zingaretti, P. | |
| A Novel Approach Based on Spatio-temporal Features and Random Forest for Scar Detection Using Cine Cardiac Magnetic Resonance Images | 1-gen-2020 | Moccia, S.; Cagnoli, A.; Martini, C.; Moscogiuri, G.; Pepi, M.; Frontoni, E.; Pontone, G.; Caiani, E. G. | |
| Inter-foetus Membrane Segmentation for TTTS Using Adversarial Networks | 1-gen-2020 | Casella, A.; Moccia, S.; Frontoni, E.; Paladini, D.; De Momi, E.; Mattos, L. S. | |
| A lumen segmentation method in ureteroscopy images based on a deep residual U-net architecture | 1-gen-2020 | Lazo, J. F.; Marzullo, A.; Moccia, S.; Catellani, M.; Rosa, B.; Calimeri, F.; de Momi, E.; de Mathelin, M. | |
| Heartbeat detection by laser doppler vibrometry and machine learning | 1-gen-2020 | Antognoli, L.; Moccia, S.; Migliorelli, L.; Casaccia, S.; Scalise, L.; Frontoni, E. | |
| 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. | |
| A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future | 1-gen-2020 | Zaffino, P.; Moccia, S.; De Momi, E.; Spadea, M. F. | |
| Fall detection for elderly-people monitoring using learned features and recurrent neural networks | 1-gen-2020 | Berardini, D.; Moccia, S.; Migliorelli, L.; Pacifici, I.; Di Massimo, P.; Paolanti, M.; Frontoni, E. | |
| The babyPose dataset | 1-gen-2020 | Migliorelli, L.; Moccia, S.; Pietrini, R.; Carnielli, V. P.; Frontoni, E. |
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