Nori, Aditya

DeepMedic for Brain Tumor Segmentation

Kamnitsas, K., Ferrante, E., Parisot, S., Ledig, C., Nori, A. V., Criminisi, A., Rueckert, D., & Glocker, B. (2016) · Lecture Notes in Computer Science

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 346

FairSquare: probabilistic verification of program fairness

Albarghouthi, A., D'Antoni, L., Drews, S., & Nori, A. V. (2017) · Proceedings of the ACM on Programming Languages

Logic, programming, and type systemsFormal Methods in Verification

Cited by 94

Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology

Yildirim, N., Richardson, H., Wetscherek, M. T., Bajwa, J., Jacob, J., Pinnock, M. A., Harris, S., Coelho De Castro, D., Bannur, S., Hyland, S., et al. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 82

Foundation Models in Healthcare: Opportunities, Risks & Strategies Forward

Thieme, A., Nori, A., Ghassemi, M., Bommasani, R., Andersen, T. O., & Luger, E. (2023) · Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 25

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