347 citations · 1.1k across the 34 of their papers we have counts for
5 papers · 1 filter
A Multi-channel DART Algorithm
Mathé Zeegers, Felix Lucka, Kees Joost Batenburg
Tomography deals with the reconstruction of objects from their projections, acquired along a range of angles. Discrete tomography is concerned with objects that consist of a small…
Approximate k-space models and Deep Learning for fast photoacoustic reconstruction
Andreas Hauptmann, Ben Cox, Felix Lucka +4
We present a framework for accelerated iterative reconstructions using a fast and approximate forward model that is based on k-space methods for photoacoustic tomography. The appro…
Never look back - A modified EnKF method and its application to the training of neural networks without back propagation
Eldad Haber, Felix Lucka, Lars Ruthotto
In this work, we present a new derivative-free optimization method and investigate its use for training neural networks. Our method is motivated by the Ensemble Kalman Filter (EnKF…
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease
Andreas Hauptmann, Simon Arridge, Felix Lucka +2
PURPOSE: Real-time assessment of ventricular volumes requires high acceleration factors. Residual convolutional neural networks (CNN) have shown potential for removing artifacts ca…
Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation
Felix Lucka, Nam Huynh, Marta Betcke +4
A crucial limitation of current high-resolution 3D photoacoustic tomography (PAT) devices that employ sequential scanning is their long acquisition time. In previous work, we demon…