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 | 111 | 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 | 99 | 2022 |
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 | 46 | 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 | 44 | 2024 |
Hams: Driver and driving monitoring using a smartphone AU Nambi, S Bannur, I Mehta, H Kalra, A Virmani, VN Padmanabhan, ... Proceedings of the 24th annual international conference on mobile computing …, 2018 | 39 | 2018 |
Systems and methods for monitoring driver state AUNS Narashiman, VN Padmanabhan, I Mehta, S Bannur, S Gupta US Patent 10,867,195, 2020 | 36 | 2020 |
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 | 33 | 2023 |
Maira-2: Grounded radiology report generation S Bannur, K Bouzid, DC Castro, A Schwaighofer, A Thieme, ... arXiv preprint arXiv:2406.04449, 2024 | 24 | 2024 |
Insight: monitoring the state of the driver in low-light using smartphones I Janveja, A Nambi, S Bannur, S Gupta, V Padmanabhan Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 22 | 2020 |
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 | 16 | 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 | 5 | 2023 |
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 |
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 | 4 | 2024 |
COVID-19: strategies for allocation of test kits A Biswas, S Bannur, P Jain, S Merugu arXiv preprint arXiv:2004.01740, 2020 | 4 | 2020 |
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 |
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 |
MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models H Sharma, V Salvatelli, S Srivastav, K Bouzid, S Bannur, DC Castro, ... arXiv preprint arXiv:2411.11362, 2024 | 2 | 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, ... ACM Transactions on Computer-Human Interaction, 2024 | 2 | 2024 |
MS-CXR: Making the most of text semantics to improve biomedical vision-language processing (version 0.1), 2022 B Boecking, N Usuyama, S Bannur, DC de Castro, A Schwaighofer, ... URL https://physionet. org/content/ms-cxr/0.1, 0 | 2 | |