no code implementations • 2 Apr 2019 • Li Yao, Jordan Prosky, Ben Covington, Kevin Lyman
This work provides a strong baseline for the problem of multi-source multi-target domain adaptation and generalization in medical imaging.
no code implementations • 1 Oct 2018 • Nithya Attaluri, Ahmed Nasir, Carolynne Powe, Harold Racz, Ben Covington, Li Yao, Jordan Prosky, Eric Poblenz, Tobi Olatunji, Kevin Lyman
Obtaining datasets labeled to facilitate model development is a challenge for most machine learning tasks.
no code implementations • 21 Mar 2018 • Li Yao, Jordan Prosky, Eric Poblenz, Ben Covington, Kevin Lyman
Diagnostic imaging often requires the simultaneous identification of a multitude of findings of varied size and appearance.
1 code implementation • 15 Dec 2017 • Jordan Prosky, Xingyou Song, Andrew Tan, Michael Zhao
In this work, we present our findings and experiments for stock-market prediction using various textual sentiment analysis tools, such as mood analysis and event extraction, as well as prediction models, such as LSTMs and specific convolutional architectures.