59 citations · 98 across the 10 of their papers we have counts for
6 papers
Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling
Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung +1
Personalised 3D vascular models are valuable for diagnosis, prognosis and treatment planning in patients with cardiovascular disease. Traditionally, such models have been construct…
Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning
Nathan Blanken, Jelmer M. Wolterink, Hervé Delingette +3
Recently, super-resolution ultrasound imaging with ultrasound localization microscopy (ULM) has received much attention. However, ULM relies on low concentrations of microbubbles i…
Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors
Dieuwertje Alblas, Christoph Brune, Jelmer M. Wolterink
Carotid artery vessel wall thickness measurement is an essential step in the monitoring of patients with atherosclerosis. This requires accurate segmentation of the vessel wall, i.…
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…
Directional Sinogram Inpainting for Limited Angle Tomography
Robert Tovey, Martin Benning, Christoph Brune +5
In this paper we propose a new joint model for the reconstruction of tomography data under limited angle sampling regimes. In many applications of Tomography, e.g. Electron Microsc…