| 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 | 129 | 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 | 64 | 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-e2027426, 2020 | 64 | 2020 |
| 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 | 53 | 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 | 50 | 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 | 12 | 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 | 12 | 2023 |
| 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 | 10 | 2020 |
| 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 | 8 | 2021 |
| 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 | 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 |
| 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 | 3 | 2023 |
| Hierarchical analysis of visual COVID-19 features from chest radiographs S Bannur, O Oktay, M Bernhardt, A Schwaighofer, R Jena, B Nushi, ... arXiv preprint arXiv:2107.06618, 2021 | 3 | 2021 |
| Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query HH Lee, A Santamaria-Pang, J Merkow, O Oktay, F Pérez-García, ... arXiv preprint arXiv:2305.05598, 2023 | 2 | 2023 |
| Transmisión de datos por la red eléctrica JÁ Valle, VG González, DG Fernández, GGM Hernández, DR Fernández, ... Disponible online: http://www. victorgarcia. org/files/PLC-v2. 0RC. pdf …, 0 | 2 | |
| 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 |
| 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 |
| Multi-institution encrypted medical imaging AI validation without data sharing A Soin, P Bhatu, R Takhar, N Chandran, D Gupta, J Alvarez-Valle, ... arXiv preprint arXiv:2107.10230, 2021 | 1 | 2021 |
| 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 |
