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Found 6 papers, 4 papers with code
j-Wave: An open-source differentiable wave simulator
We present an open-source differentiable acoustic simulator, j-Wave, which can solve time-varying and time-harmonic acoustic problems.
A research framework for writing differentiable PDE discretizations in JAX
Differentiable simulators are an emerging concept with applications in several fields, from reinforcement learning to optimal control.
Unsupervised Knowledge-Transfer for Learned Image Reconstruction
Deep learning-based image reconstruction approaches have demonstrated impressive empirical performance in many imaging modalities.
Photoacoustic Reconstruction Using Sparsity in Curvelet Frame: Image versus Data Domain
We derive a one-to-one map between wavefront directions in image and data spaces in PAT which suggests near equivalence between the recovery of the initial pressure and PAT data from compressed/subsampled measurements when assuming sparsity in Curvelet frame.
A Helmholtz equation solver using unsupervised learning: Application to transcranial ultrasound
Transcranial ultrasound therapy is increasingly used for the non-invasive treatment of brain disorders.
Numerical Methods for Coupled Reconstruction and Registration in Digital Breast Tomosynthesis
We evaluate our methods using various computational digital phantoms, uncompressed breast MR images, and in-vivo DBT simulations.
