Felix Lucka
TitleCited byYear
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
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
On the adjoint operator in photoacoustic tomography
SR Arridge, MM Betcke, BT Cox, F Lucka, BE Treeby
Inverse Problems 32 (11), 115012, 2016
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
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
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
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
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
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
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
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
Fast Gibbs sampling for high-dimensional Bayesian inversion
F Lucka
Inverse Problems 32 (11), 115019, 2016
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
Bayesian Inversion in Biomedical Imaging
F Lucka
University of Münster, Germany, 2015
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
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
Electrical stimulation of the human cerebral cortex by extracranial muscle activity: Effect quantification with intracranial EEG and FEM simulations
LDJ Fiederer, J Lahr, J Vorwerk, F Lucka, A Aertsen, CH Wolters, ...
IEEE Transactions on Biomedical Engineering 63 (12), 2552-2563, 2016
Hierarchical Bayesian Approaches to the Inverse Problem of EEG/MEG Current Density Reconstruction
F Lucka, M Burger, PDDC Wolters
Diploma thesis in Mathematics, Univer sity of Münster, 2011
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Articles 1–20