Castro, Daniel C.

Causality matters in medical imaging

Castro, D. C., Walker, I., & Glocker, B. (2020) · Nature Communications

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 364

Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing

Boecking, B., Usuyama, N., Bannur, S., Castro, D. C., Schwaighofer, A., Hyland, S., Wetscherek, M., Naumann, T., Nori, A., Alvarez-Valle, J., et al. (2022) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 317

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing

Bannur, S., Hyland, S., Liu, Q., Pérez-García, F., Ilse, M., Castro, D. C., Boecking, B., Sharma, H., Bouzid, K., Thieme, A., et al. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 227

Exploring scalable medical image encoders beyond text supervision

Pérez-García, F., Sharma, H., Bond-Taylor, S., Bouzid, K., Salvatelli, V., Ilse, M., Bannur, S., Castro, D. C., Schwaighofer, A., Lungren, M. P., et al. (2025) · Nature Machine Intelligence

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 115

Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects

Glocker, B., Robinson, R., Castro, D. C., Dou, Q., & Konukoglu, E. (2019) · arXiv

Advanced MRI Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 74

MAIRA-2: Grounded Radiology Report Generation

Bannur, S., Bouzid, K., Castro, D. C., Schwaighofer, A., Thieme, A., Bond-Taylor, S., Ilse, M., Pérez-García, F., Salvatelli, V., Sharma, H., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 19

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology

Thieme, A., Rajamohan, A., Cooper, B., Groombridge, H., Simister, R., Wong, B., Woznitza, N., Pinnock, M. A., Wetscherek, M. T., Morrison, C., et al. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 10