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Krzysztof J. Geras
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Lessons from the first DBTex Challenge
Artificial Intelligence System Reduces False-Positive Findings in the Interpretation of Breast Ultrasound Exams
Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability
Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
Improving the Ability of Deep Neural Networks to Use Information From Multiple Views in Breast Cancer Screening
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
Screening Mammogram Classification with Prior Exams
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