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Time | Item | Who | Notes |
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~5min | Welcome | ||
~10min | Lightning Talk: | Shirui Luo | The work is to explore how generative models can be applied to MRI brain images to help both accelerate the acquisition and tackle any inverse-problem tasks, such as inpainting, super-resolution, and deblurring. The work is led by CAII director Vlad Kindratenko and ECE Prof. Zhi-Pei Liang. |
~15min | Lightning Talk: Interactive visualization of variable-resolution simulation data with napari |
| Napari is a popular open source multidimensional image-viewer Python package for the interactive visualization and analysis of a wide range of image formats. Originally developed within the bio-imaging community, napari has become more of a general purpose visualization tool in large part thanks to its easily extensible plugin framework. In this presentation I'll describe my efforts to build on recent developmental support in napari for dynamic, on-demand loading of multi-dimensional image subsets in order to provide a platform for the interactive visualization and analysis of HPC-scale, variable resolution simulation data. |
~15min | Lightning Talk: | Jeff Terstriep Senior Program Manager, NCSA |