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.
Learning-based screening of endothelial dysfunction from photoplethysmographic signals
2019-01-01 Calamanti, C.; Moccia, S.; Migliorelli, L.; Paolanti, M.; 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.
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.
Preterm Infants' Pose Estimation with Spatio-Temporal Features
2020-01-01 Moccia, S.; Migliorelli, L.; Carnielli, V.; Frontoni, E.
Learned and handcrafted features for early-stage laryngeal SCC diagnosis
2019-01-01 Araujo, T.; Santos, C. P.; De Momi, E.; 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 regression framework to head-circumference delineation from US fetal images
2021-01-01 Fiorentino, M. C.; Moccia, S.; Capparuccini, M.; Giamberini, S.; Frontoni, E.
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.
Benchmarking experience to improve paediatric healthcare: listening to the voices of families from two European Children’s University Hospitals
2021-01-01 Corazza, Ilaria
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.
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.
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.
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.
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.
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.
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.
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.
The babyPose dataset
2020-01-01 Migliorelli, L.; Moccia, S.; Pietrini, R.; Carnielli, V. P.; Frontoni, E.
Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images
2019-01-01 Moccia, S.; Banali, R.; Martini, C.; Muscogiuri, G.; Pontone, G.; Pepi, M.; Caiani, E. G.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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. | |
| Learning-based screening of endothelial dysfunction from photoplethysmographic signals | 1-gen-2019 | Calamanti, C.; Moccia, S.; Migliorelli, L.; Paolanti, M.; 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. | |
| 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. | |
| Preterm Infants' Pose Estimation with Spatio-Temporal Features | 1-gen-2020 | Moccia, S.; Migliorelli, L.; Carnielli, V.; Frontoni, E. | |
| Learned and handcrafted features for early-stage laryngeal SCC diagnosis | 1-gen-2019 | Araujo, T.; Santos, C. P.; De Momi, E.; 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 regression framework to head-circumference delineation from US fetal images | 1-gen-2021 | Fiorentino, M. C.; Moccia, S.; Capparuccini, M.; Giamberini, S.; 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. | |
| Benchmarking experience to improve paediatric healthcare: listening to the voices of families from two European Children’s University Hospitals | 1-gen-2021 | Corazza, Ilaria | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| The babyPose dataset | 1-gen-2020 | Migliorelli, L.; Moccia, S.; Pietrini, R.; Carnielli, V. P.; Frontoni, E. | |
| Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images | 1-gen-2019 | Moccia, S.; Banali, R.; Martini, C.; Muscogiuri, G.; Pontone, G.; Pepi, M.; Caiani, E. G. |
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