Jungkyu Park

Latest

• 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
• The Evolution of Shared Concepts in Changing Populations