Nori, Aditya

Artificial intelligence in healthcare: transforming the practice of medicine

Bajwa, J., Munir, U., Nori, A., & Williams, B. (2021) · Future Healthcare Journal

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 1,856

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

Autofocus Layer for Semantic Segmentation

Qin, Y., Kamnitsas, K., Ancha, S., Nanavati, J., Cottrell, G., Criminisi, A., & Nori, A. (2018) · arXiv

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 135

Autofocus Layer for Semantic Segmentation

Qin, Y., Kamnitsas, K., Ancha, S., Nanavati, J., Cottrell, G., Criminisi, A., & Nori, A. (2018) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 135

A machine learning approach to understanding patterns of engagement with internet-delivered mental health interventions

Chien, I., Enrique, A., Palacios, J., Regan, T., Keegan, D., Carter, D., Tschiatschek, S., Nori, A., Thieme, A., Richards, D., et al. (2020) · JAMA Network Open

Digital Mental Health InterventionsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 111