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A Deep Semantic Segmentation Framework for Digitizing Paper Electrocardiograms with Data Augmentation using a Diffusion Model
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Pressure Injury Stage Image Classification using Cross-Shaped Window Attention Vision Transformers
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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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Alcogait Gamification
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Socialoscope: Sensing User Loneliness and Its Interactions with Personality Traits
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Investigating Gyroscope Sway Features, Normalization, and Personalization in Detecting Intoxication in Smartphone Users
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A Comprehensive Comparative Performance Evaluation of Signal Processing Features in Detecting Alcohol Consumption from Gait Data
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