Author

Anwesa Dey

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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

#machine learning Preprint Oct 2026

Initial condition recovery in nonlinear damped viscous photoacoustic tomography using a convolutional neural network-guided gradient-free optimization framework

This work investigates the inverse problem of recovering the initial pressure distribution from boundary measurements in the presence of nonlinear acoustic propagation and viscous attenuation effects and develops a hybrid reconstruction framework that combines a convolutional neural network with a gradient-free optimiz...

Madhu Gupta, Anwesa Dey, Prapti Tala et al. · 0 citations