3 citations · 4 across the 8 of their papers we have counts for
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Depth-Aware Implicit Neural Representation Priors for 3D Gravity Inversion
León Suarez-Rodriguez, Paul Goyes-Peñafiel, Javier Torres-Quintero +1
Gravimetry images subsurface density contrasts associated with geological structures, geothermal systems, and intrusive bodies. Recovering a three-dimensional density model from gr…
DIPA: Distilled Preconditioned Algorithms for Solving Imaging Inverse Problems
Romario Gualdrón-Hurtado, Roman Jacome, Leon Suarez +1
Solving imaging inverse problems has usually been addressed by designing proper prior models of the underlying signal. However, minimizing the data fidelity term poses significant…
End-to-end optimization of sparse ultrasound linear probes
Sergio Urrea, Adrian Basarab, Hervé Liebgott +1
Ultrasound imaging faces a trade-off between image quality and hardware complexity caused by dense transducers. Sparse arrays are one popular solution to mitigate this challenge. T…
GSNR: Graph Smooth Null-Space Representation for Inverse Problems
Romario Gualdrón-Hurtado, Roman Jacome, Rafael S. Suarez +1
Inverse problems in imaging are ill-posed, leading to infinitely many solutions consistent with the measurements due to the non-trivial null-space of the sensing matrix. Common ima…