| The food recognition benchmark: Using deep learning to recognize food in images SP Mohanty, G Singhal, EA Scuccimarra, D Kebaili, H Héritier, ... Frontiers in Nutrition 9, 875143, 2022 | 23 | 2022 |
| Assessing the Quality of Simulated Food Patterns with Reduced Animal Protein Using Meal Data from NHANES 2017–2018 MF Vasiloglou, P Elortegui Pascual, EA Scuccimarra, R Plestina, ... Nutrients 15 (11), 2572, 2023 | 3 | 2023 |
| EXTS capstone project E Scuccimarra | 2 | 2018 |
| Nutritional compositions and methods for reducing inadequate nutritional intake of a paleo diet L Bazarova, PE Pascual, F Mainardi, R Plestina, E Scuccimarra US Patent App. 18/251,282, 2023 | | 2023 |
| Systems and methods for providing individualized recommendations for a healthy microbiome CJ Chou, PE Pascual, N Emami, R Plestina, E Scuccimarra, ... US Patent App. 17/996,948, 2023 | | 2023 |
| P26-024-23 Novel Methodology To Evaluate the Diet Quality of Simulated Food Patterns With Reduced Animal Protein Content: Analysis of Meal Data From NHANES 2017–2018 M Vasiloglou, PE Pascual, E Scuccimarra, R Plestina, F Mainardi, TN Mak, ... Current Developments in Nutrition 7, 2023 | | 2023 |
| Transpose Convolutions vs Resizing Images in Segmentation of Mammograms EA Scuccimarra | | |
Marcel SalathéAssociate Professor, EPFLVerified email at epfl.ch
