| Automating cell counting in fluorescent microscopy through deep learning with c-ResUnet R Morelli, L Clissa, R Amici, M Cerri, T Hitrec, M Luppi, L Rinaldi, ... Scientific Reports 11 (1), 22920, 2021 | 26 | 2021 |
| Distributed workflows with Jupyter I Colonnelli, M Aldinucci, B Cantalupo, L Padovani, S Rabellino, ... Future Generation Computer Systems 128, 282-298, 2022 | 12 | 2022 |
| Fluorescent neuronal cells v2 L Clissa, A Occhinegro, E Piscitiello, L Taddei, A Macaluso, R Morelli, ... University of Bologna, 2024 | 4 | 2024 |
| Automatic cell counting in flourescent microscopy using deep learning R Morelli, L Clissa, M Dalla, M Luppi, L Rinaldi, A Zoccoli arXiv preprint arXiv:2103.01141, 2021 | 3 | 2021 |
| Fluorescent Neuronal Cells v2: multi-task, multi-format annotations for deep learning in microscopy L Clissa, A Macaluso, R Morelli, A Occhinegro, E Piscitiello, L Taddei, ... Scientific Data 11 (1), 184, 2024 | 1 | 2024 |
| Structural shape reconstruction of non-linear systems via Variational Autoencoders R Cumbo, R Morelli, A Kumar, A Nicolosi | 1 | 2023 |
| Improve target detection on hyperspectral aerial images using simulated atmosphere conditions R Di Carlo, R Morelli, N Alessandro Image and Signal Processing for Remote Sensing XXIX; SPIE Remote Sensing …, 2023 | | 2023 |
| Supervised and weakly supervised counting-by-segmentation: the fluorescent microscopy use case R Morelli alma, 2023 | | 2023 |
| System Identification Via Auto-Encoders: A Comparison Between Data-Driven and Physics-Informed Solutions R CUMBO, R MORELLI, A NICOLOSI, A KUMAR STRUCTURAL HEALTH MONITORING 2023, 2023 | | 2023 |
| HyperHound: a Framework for Hyperspectral Image Analysis and Target Detection using Deep Learning Models R Di Carlo, R Morelli, A Nicolosi Ital-IA, 2023 | | 2023 |
| Progetto LiGen: piattaforma user-friendly di creazione e sottomissione di job su sistemi HPC MT Andrea Beccari, Domiziana Catalano, Roberto Morelli https://www.ital-ia2022.it/articoli/documenti/med/Ital-IA22_paper_199.pdf, 2022 | | 2022 |
| Benchmarking AyraDB Next-Generation Database on Davinci-1 Super-Computer C Cavazzoni, C Francalanci, P Giacomazzi, N Magini, R Morelli, ... | | 2022 |
| Studio dell’emissione per effetto di campo di una matrice di nanotubi di carbonio multi-wall M Cuffiani, R Morelli, DF Odorici | | |
| APPLICAZIONI DEL MACHINE LEARNING ALLA FISICA DELLE ALTE ENERGIE A Cervelli, R Morelli, SF Antonio | | |
