347 citations · 1.1k across the 34 of their papers we have counts for
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Benchmarking learned algorithms for computed tomography image reconstruction tasks
Maximilian B. Kiss, Ander Biguri, Zakhar Shumaylov +4
Computed tomography (CT) is a widely used non-invasive diagnostic method in various fields, and recent advances in deep learning have led to significant progress in CT image recons…
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models
Ezgi Demircan-Tureyen, Felix Lucka, Tristan van Leeuwen
Recent works demonstrate the effectiveness of diffusion models as unsupervised solvers for inverse imaging problems. Sparse-view computed tomography (CT) has greatly benefited from…
Learned denoising with simulated and experimental low-dose CT data
Maximilian B. Kiss, Ander Biguri, Carola-Bibiane Schönlieb +2
Like in many other research fields, recent developments in computational imaging have focused on developing machine learning (ML) approaches to tackle its main challenges. To impro…
Existence of solutions to k-Wave models of nonlinear ultrasound propagation in biological tissue
Ben Cox, Barbara Kaltenbacher, Vanja Nikolić +1
We investigate models for nonlinear ultrasound propagation in soft biological tissue based on the one that serves as the core for the software package k-Wave. The systems are solve…
Experimental Validation of Ultrasound Beamforming with End-to-End Deep Learning for Single Plane Wave Imaging
Ryan A. L. Schoop, Gijs Hendriks, Tristan van Leeuwen +2
Ultrafast ultrasound imaging insonifies a medium with one or a combination of a few plane waves at different beam-steered angles instead of many focused waves. It can achieve much…