Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Computer science, Artificial intelligence, Convolutional neural network, Artificial neural network, Classifier (UML), and Deep learning.
Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
RIP1 Kinase Drives Macrophage-Mediated Adaptive Immune Tolerance in Pancreatic Cancer
Breast Density Classification with Deep Convolutional Neural Networks