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#machine learning Preprint Oct 2026

A hybrid CNN-adjoint optimization framework for reconstruction of viscoelastic tissue properties in magnetic resonance elastography

Magnetic resonance elastography (MRE) is a noninvasive imaging modality for quantifying the viscoelastic properties of soft tissues from shear wave propagation. Recovering the complex-valued shear modulus from measured displacement fields leads to a severely ill-posed inverse problem, particularly in the presence of no...

Anwesa Dey, J. Rudi, E. Cherkaev · 0 citations
Open access Jul 2025

ORCHA: A performance portability system for extreme heterogeneity

The core design goal is to let users decide the application’s hardware mapping and orchestration by editing only the high-level recipe—without modifying the maintained source code or binding the application to a particular runtime system.

Youngjun Lee, Klaus Weide, Wesley Kwiecinski et al. · 1 citation

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