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Applications of Deep Learning in Brain Injury Biomechanics and Spine Image Registration
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Visual Analytics for Smartphone Health Phenotyping
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Searching for Contextual Subtasks for Semantic Segmentation
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ClinicalICDBERT: Predicting Re-Admission Risk from Clinical Notes, Vital Signs and ICD Codes using BERT Models
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Synthetic Generation of Data for HCR using Image-to-Image Translation GANs
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Machine Learning Estimation of COVID-19 Social Distance Using Smartphone Sensor Data
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Sleep Duration and Quality Assessment using Smartphones
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Automatic Emotion Detection in Text Messages using Supervised Learning
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HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directional Retinex and Exposure Fusion
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Speech-based Traumatic Brain Injury (TBI) Assessment using Deep Learning Methods with Limited Labeled Data
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