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arXiv · 1911.05218

Applications and Challenges of Machine Learning to Enable Realistic Cellular Simulations

Ritvik Vasan·Meagan P. Rowan·Christopher T. Lee·Gregory R. Johnson·Padmini Rangamani·Michael Holst
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Abstract

In this perspective, we examine three key aspects of an end-to-end pipeline for realistic cellular simulations: reconstruction and segmentation of cellular structures; generation of cellular structures; and mesh generation, simulation, and data analysis. We highlight some of the relevant prior work in these distinct but overlapping areas, with a particular emphasis on current use of machine learning technologies, as well as on future opportunities.

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Ritvik Vasan, Meagan P. Rowan, Christopher T. Lee, Gregory R. Johnson, Padmini Rangamani, Michael Holst. 2019-11-13. Applications and Challenges of Machine Learning to Enable Realistic Cellular Simulations. https://arxiv.org/abs/1911.05218

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