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GRU-TV: Time- and velocity-aware GRU for patient representation on multivariate clinical time-series data
In this study, we propose a time- and velocity-aware gated recurrent unit model (GRU-TV) for patient representation learning of clinical multivariate time-series data in a time-continuous manner.
Chronological age estimation of lateral cephalometric radiographs with deep learning
Besides, our model is trained in each area with a high contribution to age estimation in LC images, so the effect of these different areas on the age estimation task was verified.
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