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Pressure Injury Stage Image Classification using Cross-Shaped Window Attention Vision Transformers
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Working With What You’ve Got: Leveraging Mislabeled Datasets And Improving Imperfect Pretrained Models
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Robust Representation Learning for Context Recognition on Weakly-supervised Mobile Sensed Data with Covariate-shifts
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Neural Networks Models for Multi-Attribute Assessment of Fine Grained Wound Images
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Machine Learning Models for Parkinson's Disease Gait Assessment and Medication Adherence from Smartphone Sensor Data
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Visual Analytics for Smartphone Health Phenotyping
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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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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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Rectification of Perspective and Scale Distortion in Wound Images and Integrated Evaluation of the SmartWAnDS System
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Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Detection
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Predicting TBI by using Smartphone-sensed mobility patterns, gait and balance
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Traumatic Brain Injury (TBI) detection and bioscore generation for ailment monitoring using smartphone sensor data
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Deep Learning Anomaly Detection methods to passively detect COVID-19 from Audio
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Variational Open Set Recognition
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Let there be light... Characterizing the Effects of Adverse Lighting on Semantic Segmentation of Wound Images and Mitigation using a Deep Retinex Model
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Versatile Anomaly Detection with Outlier Preserving Distribution Mapping Autoencoders
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