| MAIRA-2: Grounded Radiology Report Generation S Bannur, K Bouzid, DC Castro, A Schwaighofer, S Bond-Taylor, M Ilse, ... arXiv preprint arXiv:2406.04449, 2024 | | 2024 |
| Enabling large-scale screening of Barrett’s esophagus using weakly supervised deep learning in histopathology K Bouzid, H Sharma, S Killcoyne, DC Castro, A Schwaighofer, M Ilse, ... Nature Communications 15 (1), 2026, 2024 | | 2024 |
| RAD-DINO: Exploring Scalable Medical Image Encoders Beyond Text Supervision F Pérez-García, H Sharma, S Bond-Taylor, K Bouzid, V Salvatelli, M Ilse, ... arXiv preprint arXiv:2401.10815, 2024 | 2 | 2024 |
| RadEdit: stress-testing biomedical vision models via diffusion image editing F Pérez-García, S Bond-Taylor, PP Sanchez, B van Breugel, DC Castro, ... arXiv preprint arXiv:2312.12865, 2023 | 1 | 2023 |
| Maira-1: A specialised large multimodal model for radiology report generation SL Hyland, S Bannur, K Bouzid, DC Castro, M Ranjit, A Schwaighofer, ... arXiv preprint arXiv:2311.13668, 2023 | 17 | 2023 |
| RaVÆn: unsupervised change detection of extreme events using ML on-board satellites V Růžička, A Vaughan, D De Martini, J Fulton, V Salvatelli, C Bridges, ... Scientific reports 12 (1), 16939, 2022 | 17 | 2022 |
| Exploring the limits of synthetic creation of solar euv images via image-to-image translation V Salvatelli, LFG Dos Santos, S Bose, B Neuberg, MCM Cheung, ... The Astrophysical Journal 937 (2), 100, 2022 | 8 | 2022 |
| Smart satellites: machine learning on-board for low-latency novelty detection VÃ RÅ, A Vaughan, D De Martini, J Fulton, V Salvatelli, V Zantedeschi, ... AGU Fall Meeting 2021, 2021 | | 2021 |
| Smart satellites: machine learning on-board for low-latency novelty detection V Ruzicka, A Vaughan, D De Martini, J Fulton, V Salvatelli, V Zantedeschi, ... AGU Fall Meeting Abstracts 2021, IN45C-0471, 2021 | | 2021 |
| Self-supervised Deep Learning for Reducing Data Transmission Needs in Multi-Wavelength Space Instruments: a case study based on the Solar Dynamics Observatory. V Salvatelli, LF Guedes dos Santos, CMM Cheung, S Bose, B Neuberg, ... AGU Fall Meeting Abstracts 2021, NG41A-05, 2021 | | 2021 |
| Unsupervised change detection of extreme events using ML On-board V Růžička, A Vaughan, D De Martini, J Fulton, V Salvatelli, C Bridges, ... arXiv preprint arXiv:2111.02995, 2021 | 19 | 2021 |
| Multichannel autocalibration for the Atmospheric Imaging Assembly using machine learning LFG Dos Santos, S Bose, V Salvatelli, B Neuberg, MCM Cheung, ... Astronomy & Astrophysics 648, A53, 2021 | 12 | 2021 |
| Unbiased etl system for timed medical event prediction N Leavitt, J Rigg, O Doyle, B North, A Webber, E Ozkan, S Lee, ... US Patent App. 16/905,155, 2021 | | 2021 |
| ML pipeline for Solar Dynamics Observatory (SDO) data V Salvatelli, B Neuberg, LFG Dos Santos, S Bose, M Cheung, M Janvier, ... Zenodo, 2021 | 1 | 2021 |
| Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly instrument with Deep Learning S Bose, LFG dos Santos, V Salvatelli, B Neuberg, CMM Cheung, ... AGU Fall Meeting 2020, 2020 | | 2020 |
| Multi-Channel Auto-Calibration for the Atmospheric Imaging Assembly instrument with Deep Learning LF Guedes dos Santos, S Bose, V Salvatelli, B Neuberg, CMM Cheung, ... AGU Fall Meeting Abstracts 2020, NG004-0032, 2020 | | 2020 |
| Auto-calibration and reconstruction of SDO’s Atmospheric Imaging Assembly channels with Deep Learning CMM Cheung, LFG dos Santos, S Bose, B Neuberg, V Salvatelli, ... AGU Fall Meeting 2019, 2019 | 1 | 2019 |
| Auto-calibration and reconstruction of SDO's Atmospheric Imaging Assembly channels with Deep Learning M Jin, CMM Cheung, LF Guedes dos Santos, S Bose, B Neuberg, ... AGU Fall Meeting Abstracts 2019, NG31A-0836, 2019 | | 2019 |
| Auto-Calibration of Remote Sensing Solar Telescopes with Deep Learning B Neuberg, S Bose, V Salvatelli, LFG dos Santos, M Cheung, M Janvier, ... Workshop Machine Learning and the Physical Sciences, NeurIPS 2019, 2019 | 2 | 2019 |
| Using U-Nets to Create High-Fidelity Virtual Observations of the Solar Corona V Salvatelli, S Bose, B Neuberg, LFG dos Santos, M Cheung, M Janvier, ... Workshop Machine Learning and the Physical Sciences, NeurIPS 2019, 2019 | 7 | 2019 |
Alessandro MelchiorriFull Professor, University of Rome La Sapienza, Italy在 roma1.infn.it 的电子邮件经过验证
