| Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics S Moccia, E De Momi, S El Hadji, L S. Mattos Computer Methods and Programs in Biomedicine 158, 71–91, 2018 | 612 | 2018 |
| Deep learning based robotic tool detection and articulation estimation with spatio-temporal layers E Colleoni, S Moccia, X Du, E De Momi, D Stoyanov IEEE Robotics and Automation Letters 4 (3), 2714-2721, 2019 | 122 | 2019 |
| Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images S Moccia, R Banali, C Martini, G Muscogiuri, G Pontone, M Pepi, ... Magnetic Resonance Materials in Physics, Biology and Medicine 32, 187-195, 2019 | 113 | 2019 |
| A review on deep-learning algorithms for fetal ultrasound-image analysis MC Fiorentino, FP Villani, M Di Cosmo, E Frontoni, S Moccia Medical image analysis 83, 102629, 2023 | 112 | 2023 |
| MLOps: a taxonomy and a methodology M Testi, M Ballabio, E Frontoni, G Iannello, S Moccia, P Soda, G Vessio IEEE Access 10, 63606-63618, 2022 | 93 | 2022 |
| Deep learning applied to white light and narrow band imaging videolaryngoscopy: toward real‐time laryngeal cancer detection MA Azam, C Sampieri, A Ioppi, S Africano, A Vallin, D Mocellin, M Fragale, ... The Laryngoscope 132 (9), 1798-1806, 2022 | 92 | 2022 |
| Confident texture-based laryngeal tissue classification for early stage diagnosis support S Moccia, E De Momi, M Guarnaschelli, M Savazzi, A Laborai, L Guastini, ... Journal of Medical Imaging 4 (3), 034502-034502, 2017 | 83 | 2017 |
| Glioma biopsies Classification Using Raman Spectroscopy and Machine Learning Models on Fresh Tissue Samples M Riva, T Sciortino, R Secoli, E D’amico, S Moccia, B Fernandes, ... Cancers 13 (5), 1073, 2021 | 73 | 2021 |
| 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 | 67 | 2019 |
| Learning-based classification of informative laryngoscopic frames S Moccia, GO Vanone, E De Momi, A Laborai, L Guastini, G Peretti, ... Computer methods and programs in biomedicine 158, 21-30, 2018 | 62 | 2018 |
| Uncertainty-aware organ classification for surgical data science applications in laparoscopy S Moccia, SJ Wirkert, H Kenngott, AS Vemuri, M Apitz, B Mayer, ... IEEE Transactions on Biomedical Engineering 65 (11), 2649-2659, 2018 | 59 | 2018 |
| 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 | 53 | 2021 |
| Deep learning for automatic segmentation of oral and oropharyngeal cancer using narrow band imaging: preliminary experience in a clinical perspective A Paderno, C Piazza, F Del Bon, D Lancini, S Tanagli, A Deganello, ... Frontiers in Oncology 11, 626602, 2021 | 52 | 2021 |
| Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network M Penso, S Moccia, S Scafuri, G Muscogiuri, G Pontone, M Pepi, ... Computer Methods and Programs in Biomedicine 204, 106059, 2021 | 51 | 2021 |
| Transfer learning for informative-frame selection in laryngoscopic videos through learned features I Patrini, M Ruperti, S Moccia, LS Mattos, E Frontoni, E De Momi Medical & biological engineering & computing 58, 1225-1238, 2020 | 50 | 2020 |
| A review on advances in intra-operative imaging for surgery and therapy: imagining the operating room of the future P Zaffino, S Moccia, E De Momi, MF Spadea Annals of Biomedical Engineering 48 (8), 2171-2191, 2020 | 49 | 2020 |
| A regression framework to head-circumference delineation from US fetal images MC Fiorentino, S Moccia, M Capparuccini, S Giamberini, E Frontoni Computer methods and programs in biomedicine 198, 105771, 2021 | 46 | 2021 |
| Computer-assisted liver graft steatosis assessment via learning-based texture analysis S Moccia, LS Mattos, I Patrini, M Ruperti, N Poté, F Dondero, F Cauchy, ... International Journal of Computer Assisted Radiology and Surgery 13, 1357-1367, 2018 | 45 | 2018 |
| Physiological parameter estimation from multispectral images unleashed SJ Wirkert, AS Vemuri, HG Kenngott, S Moccia, M Götz, BFB Mayer, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 43 | 2017 |
| Use of artificial intelligence as an innovative method for liver graft macrosteatosis assessment M Cesaretti, R Brustia, C Goumard, F Cauchy, N Poté, F Dondero, ... Liver Transplantation 26 (10), 1224-1232, 2020 | 41 | 2020 |
Elena De MomiPolitecnico di MilanoCorreu electrònic verificat a polimi.it
