research
∙
11/12/2021
Explaining medical AI performance disparities across sites with confounder Shapley value analysis
Medical AI algorithms can often experience degraded performance when eva...
share
research
∙
05/29/2020
Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms
Data scarcity and class imbalance are two fundamental challenges in many...
research
∙
12/23/2019
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach
Breast cancer remains a global challenge, causing over 1 million deaths ...
research
∙
11/01/2019
Validation of a deep learning mammography model in a population with low screening rates
A key promise of AI applications in healthcare is in increasing access t...
research
∙
01/09/2019
Do You See What I See? Detecting Hidden Streaming Cameras Through Similarity of Simultaneous Observation
Small, low-cost, wireless cameras are becoming increasingly commonplace ...
research
∙
12/23/2018
Mixed Membership Recurrent Neural Networks
Models for sequential data such as the recurrent neural network (RNN) of...
research
∙
07/21/2018
Conditional Infilling GANs for Data Augmentation in Mammogram Classification
Deep learning approaches to breast cancer detection in mammograms have r...
research
∙
03/06/2018
