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Lowering Bone Stress Injury Risk by Understanding Loading Angle, Bone Strength, and Training Load
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Applications of Deep Learning in Brain Injury Biomechanics and Spine Image Registration
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Sampling Enhanced Reverse Correlation for the Reconstruction of Latent Representations
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Applications of Machine Learning in Real-time Brain Tissue Strain Estimation
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Advanced Imaging in Neuro-Interventional Surgery
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Defining the Multiscale Relationship between Subject-Specific Bone Strain and Structural Adaptation in the Distal Radius of Women
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Deep Transfer Learning Applied to Time-series Classification for Predicting Heart Failure Worsening Using Electrocardiography
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Machine Learning Pipelines for Deconvolution of Cellular and Subcellular Heterogeneity from Cell Imaging
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Specially Shaped Optical Fiber Probes: Understanding and Their Applications in Integrated Photonics, Sensing, and Microfluidics
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Development of automated analysis methods for identifying behavioral and neural plasticity in sleep and learning in C. elegans
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