Abstract #3563

MicroLearn: Framework for machine learning, reconstruction, optimization and microstructure modeling

Shreyas Fadnavis¹, Marco Reisert², Hamza Farooq³, Maryam Afzali⁴, Cheng Hu⁵, Bago Amirbekian⁶, and Eleftherios Garyfallidis¹

¹Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN, United States, ²University Medical Center Freiburg, Freiburg, Germany, ³The University of Minnesota Twin Cities, Minneapolis, MN, United States, ⁴Cardiff University, Cardiff, United Kingdom, ⁵Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, IN, United States, ⁶Databricks, San Francisco, CA, United States

MicroLearn is a Machine Learning and Model Fitting framework that enables modular construction of multi-compartment microstructure models in crossings with fast and accurate parameter estimation.

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