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12/04/2019
Epoch-wise label attacks for robustness against label noise
The current accessibility to large medical datasets for training convolu...
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06/18/2019
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment
The interpretation of chest radiographs is an essential task for the det...
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05/15/2019
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels
Chest X-ray (CXR) is the most common X-ray examination performed in dail...
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03/12/2018
