110 citations · 208 across the 8 of their papers we have counts for
4 papers · 1 filter
Towards generative adversarial networks as a new paradigm for radiology education
Samuel G. Finlayson, Hyunkwang Lee, Isaac S. Kohane +1
Medical students and radiology trainees typically view thousands of images in order to "train their eye" to detect the subtle visual patterns necessary for diagnosis. Nevertheless,…
Privacy-Preserving Distributed Deep Learning for Clinical Data
Brett K. Beaulieu-Jones, William Yuan, Samuel G. Finlayson +1
Deep learning with medical data often requires larger samples sizes than are available at single providers. While data sharing among institutions is desirable to train more accurat…
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
Natalia Antropova, Andrew L. Beam, Brett K. Beaulieu-Jones +15
This volume represents the accepted submissions from the Machine Learning for Health (ML4H) workshop at the conference on Neural Information Processing Systems (NeurIPS) 2018, held…
Adversarial Attacks Against Medical Deep Learning Systems
Samuel G. Finlayson, Hyung Won Chung, Isaac S. Kohane +1
The discovery of adversarial examples has raised concerns about the practical deployment of deep learning systems. In this paper, we demonstrate that adversarial examples are capab…