| 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 | 58 | 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 | 18 | 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 |
| 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, ... Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-22, 2024 | 10 | 2024 |
| 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 |
| 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 |
| 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 |
| Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology A Thieme, A Rajamohan, B Cooper, H Groombridge, R Simister, B Wong, ... arXiv preprint arXiv:2405.05299, 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 |
