Lehman, Constance

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

Yala, A., Lehman, C., Schuster, T., Portnoi, T., & Barzilay, R. (2019) · Radiology

Digital Radiography and Breast ImagingAI in cancer detection

Cited by 758

Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection

Lehman, C. D., Wellman, R. D., Buist, D. S. M., Kerlikowske, K., Tosteson, A. N. A., & Miglioretti, D. L. (2015) · JAMA Internal Medicine

Digital Radiography and Breast ImagingAI in cancer detection

Cited by 678

Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation

Lehman, C. D., Yala, A., Schuster, T., Dontchos, B., Bahl, M., Swanson, K., & Barzilay, R. (2019) · Radiology

Digital Radiography and Breast ImagingAI in cancer detection

Cited by 294

Toward robust mammography-based models for breast cancer risk

Yala, A., Mikhael, P. G., Strand, F., Lin, G., Smith, K., Wan, Y.-L., Lamb, L., Hughes, K., Lehman, C., & Barzilay, R. (2021) · Science Translational Medicine

Digital Radiography and Breast ImagingAI in cancer detection

Cited by 287

A Deep Learning Model to Triage Screening Mammograms: A Simulation Study

Yala, A., Schuster, T., Miles, R., Barzilay, R., & Lehman, C. (2019) · Radiology

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 210

Multi-institutional validation of a mammography-based breast cancer risk model

Yala, A., Mikhael, P. G., Strand, F., Lin, G., Satuluru, S., Kim, T., Banerjee, I., Gichoya, J., Trivedi, H., Lehman, C. D., et al. (2022) · Journal of Clinical Oncology

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 204

Optimizing risk-based breast cancer screening policies with reinforcement learning

Yala, A., Mikhael, P. G., Lehman, C., Lin, G., Strand, F., Wan, Y.-L., Hughes, K., Satuluru, S., Kim, T., Banerjee, I., et al. (2022) · Nature Medicine

AI in cancer detectionGlobal Cancer Incidence and Screening

Cited by 103

National Cancer Institute Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation

Kang, J., Thompson, R. F., Aneja, S., Lehman, C., Trister, A., Zou, J., Obcemea, C., & El Naqa, I. (2021) · Practical Radiation Oncology

Artificial Intelligence in Healthcare and EducationAdvances in Oncology and Radiotherapy

Cited by 30