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Generalizability, Domain Shift, and Localization

Generalizability, Domain Shift, and Localization

The FDA held a two-day public workshop titled, Evolving Role of Artificial Intelligence in Radiological Imaging, Feb. 25-26 on the campus of the National Institutes of Health (NIH) in Bethesda, MD.

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Selected Publications

NEW Learn to be Uncertain: Leveraging Uncertain Labels in Chest X-rays with Bayesian Neural Networks

Yang HY, Yang J, Pan Y, Cao K, Song Q, et al., Uncertainty and Robustness in Deep Visual Learning Workshop, IEEE Conference on Computer Vision and Pattern Recognition, June, 2019.

NEW Precise Diagnosis of Intracranial Hemorrhage and Subtypes Using a Three-dimensional Joint Convolutional and Recurrent Neural Network

Ye H*, Gao F* (*Equal contribution), Yin Y, Guo D, Zhao P, et al., European Radiology, March, 2019.

NEW DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction

Guo Z, Bai J, Lu Y, Wang X, Cao K, et al., International conference on Information Processing in Medical Imaging (IPMI), 2019.