13 citations · 13 across the 1 of their papers we have counts for
4 papers
A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging
Li Yao, Jordan Prosky, Ben Covington +1
This work provides a strong baseline for the problem of multi-source multi-target domain adaptation and generalization in medical imaging. Using a diverse collection of ten chest X…
Efficient and Accurate Abnormality Mining from Radiology Reports with Customized False Positive Reduction
Nithya Attaluri, Ahmed Nasir, Carolynne Powe +7
Obtaining datasets labeled to facilitate model development is a challenge for most machine learning tasks. The difficulty is heightened for medical imaging, where data itself is li…
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions
Li Yao, Jordan Prosky, Eric Poblenz +2
Diagnostic imaging often requires the simultaneous identification of a multitude of findings of varied size and appearance. Beyond global indication of said findings, the predictio…
Sentiment Predictability for Stocks
Jordan Prosky, Xingyou Song, Andrew Tan +1
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 wel…