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Deep Learning Metrology in Industrial 4.0
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Analytical Methods and Deep Priors on X-ray Ptychography, Computed Tomography, and Computed Laminography
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Utilizing Literature to Characterize Materials from Images
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Development of Informatics Methods for Analysis of Complex Gene Regulation and Transcriptome Diversity Data in Cancer
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Fisher Score-Based Concept Drift Monitoring and Diagnosis with Applications to Microstructure Nonstationarity Analysis and Deep Learning Segmentation for Multiphase Materials
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Scalable Parallelization Strategy for Large-Scale Deep Learning
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Towards Understanding Deep Learning via Statistical Physics
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Deep Perceptual Losses and Self-supervised Fine-tuning for Image and Video Super-resolution
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Interphase Modeling and Data Analytical Approaches for Polymer Nanocomposites Design
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