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Kong, Jun, Emory University
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Computational Image Processing and Deep Learning with Multi-Model Biomedical Image Data
Efficient Solvers for Nonlinear Problems in Imaging
Truncated Singular Value Decomposition Approximation for Structured Matrices via Krone...
Machine Learning Methods in Large Scale Neuroimaging Study
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Year
Fall 2017
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Fall 2022
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Spring 2018
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Summer 2018
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School
Laney Graduate School
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Department
Computer Science and Informatics
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Biostatistics
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Mathematics
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Ph.D.
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Dissertation
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Applied Mathematics
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Computer Science
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Biology, Bioinformatics
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Statistics
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Committee
Kong, Jun, Emory University
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4
Nagy, James, Emory University
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Ruthotto, Lars, Emory University
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Banerjee, Imon , Emory University
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Ettinger, Bree, Emory University
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inverse problems
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Biomedical image analysis
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Deep learning
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Gauss-Newton
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Image segmentation
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