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Found 4 papers, 1 papers with code
A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging
This work provides a strong baseline for the problem of multi-source multi-target domain adaptation and generalization in medical imaging.
Efficient and Accurate Abnormality Mining from Radiology Reports with Customized False Positive Reduction
Obtaining datasets labeled to facilitate model development is a challenge for most machine learning tasks.
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions
Diagnostic imaging often requires the simultaneous identification of a multitude of findings of varied size and appearance.
Sentiment Predictability for Stocks
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.
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