Sfoglia per Autore
Automatic workflow for narrow-band laryngeal video stitching
2016-01-01 Moccia, S.; Penza, V.; Vanone, G. O.; De Momi, E.; Mattos, L. S.
Safe electrode trajectory planning in SEEG via MIP-based vessel segmentation
2017-01-01 Scorza, D.; Moccia, S.; De Luca, G.; Plaino, L.; Cardinale, F.; Mattos, L. S.; Kabongo, L.; De Momi, E.
Confident texture-based laryngeal tissue classification for early stage diagnosis support
2017-01-01 Moccia, S.; De Momi, E.; Guarnaschelli, M.; Savazzi, M.; Laborai, A.; Guastini, L.; Peretti, G.; Mattos, L. S.
Physiological parameter estimation from multispectral images unleashed
2017-01-01 Wirkert, S. J.; Vemuri, A. S.; Kenngott, H. G.; Moccia, S.; Gotz, M.; Mayer, B. F. B.; Maier-Hein, K. H.; Elson, D. S.; Maier-Hein, L.
Computer-assisted liver graft steatosis assessment via learning-based texture analysis
2018-01-01 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.
Toward Improving Safety in Neurosurgery with an Active Handheld Instrument
2018-01-01 Moccia, S.; Foti, S.; Routray, A.; Prudente, F.; Perin, A.; Sekula, R. F.; Mattos, L. S.; Balzer, J. R.; Fellows-Mayle, W.; De Momi, E.; Riviere, C. N.
Learning-based classification of informative laryngoscopic frames
2018-01-01 Moccia, S.; Vanone, G. O.; Momi, E. D.; Laborai, A.; Guastini, L.; Peretti, G.; Mattos, L. S.
Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics
2018-01-01 Moccia, S.; De Momi, E.; El Hadji, S.; Mattos, L. S.
Automated Scar Segmentation from CMR-LGE Images Using a Deep Learning Approach
2018-01-01 Moccia, S.; Banali, R.; Martini, C.; Moscogiuri, G.; Pontone, G.; Pepi, M.; Caiani, E. G.
EndoAbS dataset: Endoscopic abdominal stereo image dataset for benchmarking 3D stereo reconstruction algorithms
2018-01-01 Penza, V.; Ciullo, A. S.; Moccia, S.; Mattos, L. S.; De Momi, E.
Uncertainty-aware organ classification for surgical data science applications in laparoscopy
2018-01-01 Moccia, S.; Wirkert, S. J.; Kenngott, H.; Vemuri, A. S.; Apitz, M.; Mayer, B.; De Momi, E.; Mattos, L. S.; Maier-Hein, L.
Deep Learning Based Robotic Tool Detection and Articulation Estimation with Spatio-Temporal Layers
2019-01-01 Colleoni, E.; Moccia, S.; Du, X.; De Momi, E.; Stoyanov, D.
Brain-vascular segmentation for SEEG planning via a 3D fully-convolutional neural network
2019-01-01 Hadji, S. E.; Moccia, S.; Scorza, D.; Rizzi, M.; Cardinale, F.; Baselli, G.; Momi, E. D.
Sharing health data among general practitioners: The Nu.Sa. project
2019-01-01 Frontoni, E.; Mancini, A.; Baldi, M.; Paolanti, M.; Moccia, S.; Zingaretti, P.; Landro, V.; Misericordia, P.
Preterm infants' limb-pose estimation from depth images using convolutional neural networks
2019-01-01 Moccia, S.; Migliorelli, L.; Pietrini, R.; Frontoni, E.
Learning-based screening of endothelial dysfunction from photoplethysmographic signals
2019-01-01 Calamanti, C.; Moccia, S.; Migliorelli, L.; Paolanti, M.; Frontoni, E.
A Learning Approach for Informative-Frame Selection in US Rheumatology Images
2019-01-01 Fiorentino, M. C.; Moccia, S.; Cipolletta, E.; Filippucci, E.; Frontoni, E.
Automatic speech analysis to early detect functional cognitive decline in elderly population
2019-01-01 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.
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.
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.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Automatic workflow for narrow-band laryngeal video stitching | 1-gen-2016 | Moccia, S.; Penza, V.; Vanone, G. O.; De Momi, E.; Mattos, L. S. | |
| Safe electrode trajectory planning in SEEG via MIP-based vessel segmentation | 1-gen-2017 | Scorza, D.; Moccia, S.; De Luca, G.; Plaino, L.; Cardinale, F.; Mattos, L. S.; Kabongo, L.; De Momi, E. | |
| Confident texture-based laryngeal tissue classification for early stage diagnosis support | 1-gen-2017 | Moccia, S.; De Momi, E.; Guarnaschelli, M.; Savazzi, M.; Laborai, A.; Guastini, L.; Peretti, G.; Mattos, L. S. | |
| Physiological parameter estimation from multispectral images unleashed | 1-gen-2017 | Wirkert, S. J.; Vemuri, A. S.; Kenngott, H. G.; Moccia, S.; Gotz, M.; Mayer, B. F. B.; Maier-Hein, K. H.; Elson, D. S.; Maier-Hein, L. | |
| 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. | |
| Toward Improving Safety in Neurosurgery with an Active Handheld Instrument | 1-gen-2018 | Moccia, S.; Foti, S.; Routray, A.; Prudente, F.; Perin, A.; Sekula, R. F.; Mattos, L. S.; Balzer, J. R.; Fellows-Mayle, W.; De Momi, E.; Riviere, C. N. | |
| Learning-based classification of informative laryngoscopic frames | 1-gen-2018 | Moccia, S.; Vanone, G. O.; Momi, E. D.; Laborai, A.; Guastini, L.; Peretti, G.; Mattos, L. S. | |
| 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. | |
| 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. | |
| EndoAbS dataset: Endoscopic abdominal stereo image dataset for benchmarking 3D stereo reconstruction algorithms | 1-gen-2018 | Penza, V.; Ciullo, A. S.; Moccia, S.; Mattos, L. S.; De Momi, E. | |
| Uncertainty-aware organ classification for surgical data science applications in laparoscopy | 1-gen-2018 | Moccia, S.; Wirkert, S. J.; Kenngott, H.; Vemuri, A. S.; Apitz, M.; Mayer, B.; De Momi, E.; Mattos, L. S.; Maier-Hein, L. | |
| Deep Learning Based Robotic Tool Detection and Articulation Estimation with Spatio-Temporal Layers | 1-gen-2019 | Colleoni, E.; Moccia, S.; Du, X.; De Momi, E.; Stoyanov, D. | |
| 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. | |
| Sharing health data among general practitioners: The Nu.Sa. project | 1-gen-2019 | Frontoni, E.; Mancini, A.; Baldi, M.; Paolanti, M.; Moccia, S.; Zingaretti, P.; Landro, V.; Misericordia, P. | |
| Preterm infants' limb-pose estimation from depth images using convolutional neural networks | 1-gen-2019 | Moccia, S.; Migliorelli, L.; Pietrini, R.; Frontoni, E. | |
| Learning-based screening of endothelial dysfunction from photoplethysmographic signals | 1-gen-2019 | Calamanti, C.; Moccia, S.; Migliorelli, L.; Paolanti, M.; Frontoni, E. | |
| A Learning Approach for Informative-Frame Selection in US Rheumatology Images | 1-gen-2019 | Fiorentino, M. C.; Moccia, S.; Cipolletta, E.; Filippucci, E.; Frontoni, E. | |
| 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. | |
| 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. | |
| 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. |
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