| Learning to exploit temporal structure for biomedical vision-language processing S Bannur, S Hyland, Q Liu, F Perez-Garcia, M Ilse, DC Castro, B Boecking, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 44 | 2023 |
| Exploring the Boundaries of GPT-4 in Radiology Q Liu, S Hyland, S Bannur, K Bouzid, DC Castro, MT Wetscherek, R Tinn, ... arXiv preprint arXiv:2310.14573, 2023 | 10 | 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 | 6 | 2023 |
| MS-CXR-T: Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing S Bannur, S Hyland, Q Liu, F Pérez-García, M Ilse, DC de Castro, ... PhysioNet, 2023 | 3 | 2023 |
| Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology N Yildirim, H Richardson, MT Wetscherek, J Bajwa, J Jacob, MA Pinnock, ... arXiv preprint arXiv:2402.14252, 2024 | 1 | 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 | 1 | 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 |
