Felix Lucka
Felix Lucka
Centrum Wiskunde & Informatica and Centre for Medical Image Computing, UCL
Geverifieerd e-mailadres voor cwi.nl - Homepage
Geciteerd door
Geciteerd door
Simulating transcranial direct current stimulation with a detailed anisotropic human head model
SM Rampersad, AM Janssen, F Lucka, Ü Aydin, B Lanfer, S Lew, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 22 (3 …, 2014
Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography
A Hauptmann, F Lucka, M Betcke, N Huynh, J Adler, B Cox, P Beard, ...
IEEE transactions on medical imaging 37 (6), 1382-1393, 2018
Accelerated high-resolution photoacoustic tomography via compressed sensing
S Arridge, P Beard, M Betcke, B Cox, N Huynh, F Lucka, O Ogunlade, ...
Physics in Medicine & Biology 61 (24), 8908, 2016
On the adjoint operator in photoacoustic tomography
SR Arridge, MM Betcke, BT Cox, F Lucka, BE Treeby
Inverse Problems 32 (11), 115012, 2016
Hierarchical Bayesian inference for the EEG inverse problem using realistic FE head models: depth localization and source separation for focal primary currents
F Lucka, S Pursiainen, M Burger, CH Wolters
Neuroimage 61 (4), 1364-1382, 2012
Real‐time cardiovascular MR with spatio‐temporal artifact suppression using deep learning–proof of concept in congenital heart disease
A Hauptmann, S Arridge, F Lucka, V Muthurangu, JA Steeden
Magnetic resonance in medicine 81 (2), 1143-1156, 2019
Maximum a posteriori estimates in linear inverse problems with log-concave priors are proper Bayes estimators
M Burger, F Lucka
Inverse Problems 30 (11), 114004, 2014
The role of blood vessels in high-resolution volume conductor head modeling of EEG
LDJ Fiederer, J Vorwerk, F Lucka, M Dannhauer, S Yang, M Dümpelmann, ...
NeuroImage 128, 193-208, 2016
Using reciprocity for relating the simulation of transcranial current stimulation to the EEG forward problem
S Wagner, F Lucka, J Vorwerk, CS Herrmann, G Nolte, M Burger, ...
NeuroImage 140, 163-173, 2016
The influence of sulcus width on simulated electric fields induced by transcranial magnetic stimulation
AM Janssen, SM Rampersad, F Lucka, B Lanfer, S Lew, Ü Aydin, ...
Physics in Medicine & Biology 58 (14), 4881, 2013
Complete electrode model in EEG: relationship and differences to the point electrode model
S Pursiainen, F Lucka, CH Wolters
Physics in Medicine & Biology 57 (4), 999, 2012
Fast Markov chain Monte Carlo sampling for sparse Bayesian inference in high-dimensional inverse problems using L1-type priors
F Lucka
Inverse Problems 28 (12), 125012, 2012
Sub-sampled Fabry-Perot photoacoustic scanner for fast 3D imaging
N Huynh, F Lucka, E Zhang, M Betcke, S Arridge, P Beard, B Cox
Photons Plus Ultrasound: Imaging and Sensing 2017 10064, 100641Y, 2017
Three-dimensional photoacoustic imaging and inversion for accurate quantification of chromophore distributions
M Fonseca, E Malone, F Lucka, R Ellwood, L An, S Arridge, P Beard, ...
Photons Plus Ultrasound: Imaging and Sensing 2017 10064, 1006415, 2017
Enhancing compressed sensing 4D photoacoustic tomography by simultaneous motion estimation
F Lucka, N Huynh, M Betcke, E Zhang, P Beard, B Cox, S Arridge
SIAM Journal on Imaging Sciences 11 (4), 2224-2253, 2018
Approximate k-space models and Deep Learning for fast photoacoustic reconstruction
A Hauptmann, B Cox, F Lucka, N Huynh, M Betcke, P Beard, S Arridge
International Workshop on Machine Learning for Medical Image Reconstruction …, 2018
A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging
Y Bekhti, F Lucka, J Salmon, A Gramfort
Inverse Problems 34 (8), 085010, 2018
Risk estimators for choosing regularization parameters in ill-posed problems-properties and limitations
F Lucka, K Proksch, C Brune, N Bissantz, M Burger, H Dette, F Wübbeling
Inverse Problems & Imaging 12 (5), 1121-1155, 2018
Fast Gibbs sampling for high-dimensional Bayesian inversion
F Lucka
Inverse Problems 32 (11), 115019, 2016
Never look back-A modified EnKF method and its application to the training of neural networks without back propagation
E Haber, F Lucka, L Ruthotto
arXiv preprint arXiv:1805.08034, 2018
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Artikelen 1–20