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Michael Paul Majurski, Derek Juba, Timothy Blattner, Peter Bajcsy, Walid Keyrouz
Neural Networks are trained on data, learn relationships in that data, and then are deployed to the world to operate on new data. For example, a traffic sign
Stephen J. Florczyk, Mylene H. Simon, Derek Juba, Patrick S. Pine, Sumona Sarkar, Desu Chen, Paula J. Baker, Subhadip Bodhak, Antonio Cardone, Mary C. Brady, Peter Bajcsy, Carl G. Simon Jr.
Three-dimensional (3D) cellular morphotyping is introduced for assessing and comparing the niches provided by biomaterial scaffolds. Many scaffold systems have
Derek Juba, Walid Keyrouz, Michael V. Mascagni, Mary C. Brady, Michael Mascagni
This paper describes our on-going work to accelerate ZENO, a software tool based on Monte Carlo methods (MCMs), used for computing material properties at the
Peter Bajcsy, Mylene H. Simon, Stephen J. Florczyk, Carl G. Simon Jr., Derek Juba, Mary C. Brady
We address the problem of estimating 3D segmentation performance when segmentation is applied to thousands of confocal microscopy images (z-stacks) of cells