Harmon, Stephanie

Federated learning for predicting clinical outcomes in patients with COVID-19

Dayan, I., Roth, H. R., Zhong, A., Harouni, A., Gentili, A., Abidin, A. Z., Liu, A., Costa, A. B., Wood, B. J., Tsai, C.-S., et al. (2021) · Nature Medicine

Machine Learning in HealthcareCOVID-19 diagnosis using AI

Cited by 842

Artificial intelligence for the detection of COVID-19 pneumonia on chest ct using multinational datasets

Harmon, S. A., Sanford, T. H., Xu, S., Turkbey, E. B., Roth, H., Xu, Z., Yang, D., Myronenko, A., Anderson, V., Amalou, A., et al. (2020) · Nature Communications

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 587

Federated learning improves site performance in multicenter deep learning without data sharing

Sarma, K. V., Harmon, S., Sanford, T., Roth, H. R., Xu, Z., Tetreault, J., Xu, D., Flores, M. G., Raman, A. G., Kulkarni, R., et al. (2021) · Journal of the American Medical Informatics Association

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 242

The future of multimodal artificial intelligence models for integrating imaging and clinical metadata: A narrative review

Simon, B. D., Ozyoruk, K. B., Gelikman, D. G., Harmon, S. A., & Türkbey, B. (2024) · Diagnostic and Interventional Radiology

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 73

Predicting the tumor microenvironment composition and immunotherapy response in non-small cell lung cancer from digital histopathology images

Patkar, S., Chen, A., Basnet, A., Bixby, A., Rajendran, R., Chernet, R., Faso, S., Kumar, P. A., Desai, D., El-Zammar, O., et al. (2024) · npj Precision Oncology

AI in cancer detectionCancer Immunotherapy and Biomarkers

Cited by 41

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation

Zhang, L., Wang, X., Yang, D., Sanford, T., Harmon, S., Turkbey, B., Roth, H., Myronenko, A., Xu, D., & Xu, Z. (2019) · arXiv

Domain Adaptation and Few-Shot LearningMedical Image Segmentation Techniques

Cited by 36

The Low Rate of Adherence to Checklist for Artificial Intelligence in Medical Imaging Criteria Among Published Prostate MRI Artificial Intelligence Algorithms

Belue, M. J., Harmon, S. A., Lay, N. S., Daryanani, A., Phelps, T. E., Choyke, P. L., & Turkbey, B. (2023) · Journal of the American College of Radiology

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 27