347 citations · 1.1k across the 38 of their papers we have counts for
44 papers
Score-Based Generative Models for PET Image Reconstruction
Imraj RD Singh, Alexander Denker, Riccardo Barbano +5
Score-based generative models have demonstrated highly promising results for medical image reconstruction tasks in magnetic resonance imaging or computed tomography. However, their…
A Learned Born Series for Highly-Scattering Media
Antonio Stanziola, Simon Arridge, Ben T. Cox +1
A new method for solving the wave equation is presented, called the learned Born series (LBS), which is derived from a convergent Born Series but its components are found through t…
Unsupervised denoising for sparse multi-spectral computed tomography
Satu I. Inkinen, Mikael A. K. Brix, Miika T. Nieminen +2
Multi-energy computed tomography (CT) with photon counting detectors (PCDs) enables spectral imaging as PCDs can assign the incoming photons to specific energy channels. However, P…
j-Wave: An open-source differentiable wave simulator
Antonio Stanziola, Simon R. Arridge, Ben T. Cox +1
We present an open-source differentiable acoustic simulator, j-Wave, which can solve time-varying and time-harmonic acoustic problems. It supports automatic differentiation, which…
FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation
Olivier Jaubert, Javier Montalt-Tordera, James Brown +4
Purpose: Real-time monitoring of cardiac output (CO) requires low latency reconstruction and segmentation of real-time phase contrast MR (PCMR), which has previously been difficult…
Phase-insensitive versus phase-sensitive ultrasound absorption tomography in the frequency domain
Santeri Kaupinmäki, Ben Cox, Simon Arridge
The sensitivity of phase-sensitive detectors, such as piezoelectric detectors, becomes increasingly directional as the detector element size increases. In contrast, pyroelectric se…