Search Results for author: Jun Yamasaki

Found 2 papers, 0 papers with code

MRI-MECH: Mechanics-informed MRI to estimate esophageal health

no code implementations15 Sep 2022 Sourav Halder, Ethan M. Johnson, Jun Yamasaki, Peter J. Kahrilas, Michael Markl, John E. Pandolfino, Neelesh A. Patankar

Dynamic magnetic resonance imaging (MRI) is a popular medical imaging technique to generate image sequences of the flow of a contrast material inside tissues and organs.

Esophageal virtual disease landscape using mechanics-informed machine learning

no code implementations19 Nov 2021 Sourav Halder, Jun Yamasaki, Shashank Acharya, Wenjun Kou, Guy Elisha, Dustin A. Carlson, Peter J. Kahrilas, John E. Pandolfino, Neelesh A. Patankar

In this work, we present a hybrid framework that combines fluid mechanics and machine learning to identify the underlying physics of the various esophageal disorders and maps them onto a parameter space which we call the virtual disease landscape (VDL).

BIG-bench Machine Learning

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