| Making the most of text semantics to improve biomedical vision–language processing B Boecking, N Usuyama, S Bannur, DC Castro, A Schwaighofer, S Hyland, ... European conference on computer vision, 1-21, 2022 | 259 | 2022 |
| 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 | 114 | 2023 |
| Active label cleaning for improved dataset quality under resource constraints M Bernhardt, DC Castro, R Tanno, A Schwaighofer, KC Tezcan, ... Nature communications 13 (1), 1161, 2022 | 100 | 2022 |
| Machine learning for auto-segmentation in radiotherapy planning K Harrison, H Pullen, C Welsh, O Oktay, J Alvarez-Valle, R Jena Clinical Oncology 34 (2), 74-88, 2022 | 97 | 2022 |
| Evaluation of deep learning to augment image-guided radiotherapy for head and neck and prostate cancers O Oktay, J Nanavati, A Schwaighofer, D Carter, M Bristow, R Tanno, ... JAMA network open 3 (11), e2027426, 2020 | 69 | 2020 |
| 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 | 45 | 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 2024 CHI Conference on Human Factors in Computing Systems …, 2024 | 44 | 2024 |
| 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 | 32 | 2023 |
| Maira-2: Grounded radiology report generation S Bannur, K Bouzid, DC Castro, A Schwaighofer, A Thieme, ... arXiv preprint arXiv:2406.04449, 2024 | 27 | 2024 |
| Addressing the exorbitant cost of labeling medical images with active learning S Rahimi, O Oktay, J Alvarez-Valle, S Bharadwaj International Conference on Machine Learning in Medical Imaging and Analysis 1, 2021 | 17 | 2021 |
| 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 | 15 | 2024 |
| Secure medical image analysis with cryptflow J Alvarez-Valle, P Bhatu, N Chandran, D Gupta, A Nori, A Rastogi, ... arXiv preprint arXiv:2012.05064, 2020 | 12 | 2020 |
| MS-CXR: Making the most of text semantics to improve biomedical vision-language processing B Boecking, N Usuyama, S Bannur, DC de Castro, A Schwaighofer, ... URL: http://dx. doi. org/10.13026/b90j-vb87, 2022 | 7 | 2022 |
| RadEdit: stress-testing biomedical vision models via diffusion image editing F Pérez-García, S Bond-Taylor, PP Sanchez, B van Breugel, DC Castro, ... European Conference on Computer Vision, 358-376, 2024 | 6 | 2024 |
| Compositional zero-shot domain transfer with text-to-text models F Liu, Q Liu, S Bannur, F Pérez-García, N Usuyama, S Zhang, T Naumann, ... Transactions of the Association for Computational Linguistics 11, 1097-1113, 2023 | 6 | 2023 |
| MAIRA at RRG24: A specialised large multimodal model for radiology report generation S Srivastav, M Ranjit, F Pérez-García, K Bouzid, S Bannur, DC Castro, ... Proceedings of the 23rd Workshop on Biomedical Natural Language Processing …, 2024 | 5 | 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 | 5 | 2024 |
| Medimageinsight: An open-source embedding model for general domain medical imaging NCF Codella, Y Jin, S Jain, Y Gu, HH Lee, AB Abacha, ... arXiv preprint arXiv:2410.06542, 2024 | 4 | 2024 |
| Production-level open source privacy preserving inference in medical imaging A Soin, P Bhatu, R Takhar, N Chandran, D Gupta, J Alvarez-Valle, ... CoRR, abs/2107.10230, 2021 | 4 | 2021 |
| 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 |
