Sahiner, Berkman

Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms

Schaffter, T., Buist, D. S. M., Lee, C. I., Nikulin, Y., Ribli, D., Guan, Y., Lotter, W., Jie, Z., Du, H., Wang, S., et al. (2020) · JAMA Network Open

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 409

Data drift in medical machine learning: implications and potential remedies

Sahiner, B., Chen, W., Samala, R. K., & Petrick, N. (2023) · The British Journal of Radiology

Artificial Intelligence in Healthcare and EducationData Stream Mining Techniques

Cited by 279

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment.

Drukker, K., Chen, W., Gichoya, J. W., Gruszauskas, N. P., Kalpathy-Cramer, J., Koyejo, S., Myers, K. J., Sá, R. C., Sahiner, B., Whitney, H. M., et al. (2023) · Journal of Medical Imaging

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 149

Evaluating Imaging and Computer-aided Detection and Diagnosis Devices at the FDA

Gallas, B. D., Chan, H.-P., D’Orsi, C. J., Dodd, L. E., Giger, M. L., Gur, D., Krupinski, E. A., Metz, C. E., Myers, K. J., Obuchowski, N. A., et al. (2012) · Academic Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 81

Calibration of medical diagnostic classifier scores to the probability of disease

Chen, W., Sahiner, B., Samuelson, F., Pezeshk, A., & Petrick, N. (2018) · Statistical Methods in Medical Research

Artificial Intelligence in HealthcareImbalanced Data Classification Techniques

Cited by 29