59 citations · 91 across the 4 of their papers we have counts for
4 papers
Data-consistent neural networks for solving nonlinear inverse problems
Yoeri E. Boink, Markus Haltmeier, Sean Holman +1
Data assisted reconstruction algorithms, incorporating trained neural networks, are a novel paradigm for solving inverse problems. One approach is to first apply a classical recons…
Learned SVD: solving inverse problems via hybrid autoencoding
Yoeri E. Boink, Christoph Brune
Our world is full of physics-driven data where effective mappings between data manifolds are desired. There is an increasing demand for understanding combined model-based and data-…
A Partially Learned Algorithm for Joint Photoacoustic Reconstruction and Segmentation
Yoeri E. Boink, Srirang Manohar, Christoph Brune
In an inhomogeneously illuminated photoacoustic image, important information like vascular geometry is not readily available when only the initial pressure is reconstructed. To obt…
A Framework for Directional and Higher-Order Reconstruction in Photoacoustic Tomography
Yoeri E. Boink, Marinus J. Lagerwerf, Wiendelt Steenbergen +3
Photoacoustic tomography is a hybrid imaging technique that combines high optical tissue contrast with high ultrasound resolution. Direct reconstruction methods such as filtered ba…