Hierarchical Bayesian inference for the EEG inverse problem using realistic FE head models: Depth localization and source separation for focal primary currents. - Felix Lucka; Sampsa Pursiainen; Martin Burger 001; Carsten H. Wolters (NeuroImage, 2012)

The role of blood vessels in high-resolution volume conductor head modeling of EEG. - Lukas Dominique Josef Fiederer; Johannes Vorwerk; Felix Lucka; Moritz Dannhauer; Shan Yang; Matthias Dümpelmann; Andreas Schulze-Bonhage; Ad Aertsen; Oliver Speck; Carsten H. Wolters; Tonio Ball (NeuroImage, 2016)

Using reciprocity for relating the simulation of transcranial current stimulation to the EEG forward problem. - Sven Wagner; Felix Lucka; Johannes Vorwerk; Christoph S. Herrmann; G. Nolte; Martin Burger 001; Carsten H. Wolters (NeuroImage, 2016)

Electrical Stimulation of the Human Cerebral Cortex by Extracranial Muscle Activity: Effect Quantification With Intracranial EEG and FEM Simulations. - Lukas Dominique Josef Fiederer; Jacob Lahr; Johannes Vorwerk; Felix Lucka; Ad Aertsen; Carsten H. Wolters; Andreas Schulze-Bonhage; Tonio Ball (IEEE Trans. Biomed. Eng., 2016)

Model based learning for accelerated, limited-view 3D photoacoustic tomography. - Andreas Hauptmann; Felix Lucka; Marta M. Betcke; Nam Huynh; Ben T. Cox; Paul C. Beard; Sébastien Ourselin; Simon R. Arridge (CoRR, 2017)

A Multi-channel DART Algorithm. - Mathé T. Zeegers; Felix Lucka; Kees Joost Batenburg (IWCIA, 2018)

Approximate k-Space Models and Deep Learning for Fast Photoacoustic Reconstruction. - Andreas Hauptmann; Ben T. Cox; Felix Lucka; Nam Huynh; Marta M. Betcke; Paul C. Beard; Simon R. Arridge (MLMIR@MICCAI, 2018)

Real-time Cardiovascular MR with Spatio-temporal De-aliasing using Deep Learning - Proof of Concept in Congenital Heart Disease. - Andreas Hauptmann; Simon R. Arridge; Felix Lucka; Vivek Muthurangu; Jennifer Anne Steeden (CoRR, 2018)

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 (CoRR, 2018)

Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation. - Felix Lucka; Nam Huynh; Marta M. Betcke; Edward Zhang 001; Paul C. Beard; Ben T. Cox; Simon R. Arridge (SIAM J. Imaging Sci., 2018)

Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography. - Andreas Hauptmann; Felix Lucka; Marta M. Betcke; Nam Huynh; Jonas Adler; Ben T. Cox; Paul C. Beard; Sébastien Ourselin; Simon R. Arridge (IEEE Trans. Medical Imaging, 2018)

A Cone-Beam X-Ray CT Data Collection Designed for Machine Learning. - Henri Der Sarkissian; Felix Lucka; Maureen van Eijnatten; Giulia Colacicco; Sophia Bethany Coban; Kees Joost Batenburg (CoRR, 2019)

Improved EEG source localization with Bayesian uncertainty modelling of unknown skull conductivity. - Ville Rimpiläinen; Alexandra Koulouri; Felix Lucka; Jari P. Kaipio; Carsten H. Wolters (NeuroImage, 2019)

Atomic Super-Resolution Tomography. - Poulami Somanya Ganguly; Felix Lucka; Hermen Jan Hupkes; Kees Joost Batenburg (IWCIA, 2020)

Refraction-corrected ray-based inversion for three-dimensional ultrasound tomography of the breast. - Ashkan Javaherian; Felix Lucka; Ben T. Cox (CoRR, 2020)

Fast ultrasonic imaging using end-to-end deep learning. - Georgios Pilikos; Lars Horchens; Kees Joost Batenburg; Tristan van Leeuwen; Felix Lucka (CoRR, 2020)

Deep data compression for approximate ultrasonic image formation. - Georgios Pilikos; Lars Horchens; Kees Joost Batenburg; Tristan van Leeuwen; Felix Lucka (CoRR, 2020)

Photoacoustic Reconstruction Using Sparsity in Curvelet Frame. - Bolin Pan; Simon R. Arridge; Felix Lucka; Ben T. Cox; Nam Huynh; Paul C. Beard; Edward Z. Zhang; Marta M. Betcke (CoRR, 2020)

Explorative Imaging and Its Implementation at the FleX-ray Laboratory. - Sophia Bethany Coban; Felix Lucka; Willem Jan Palenstijn; Denis Van Loo; Kees Joost Batenburg (J. Imaging, 2020)

Emulation of X-ray Light-Field Cameras. - Nicola Viganò; Felix Lucka; Ombeline de La Rochefoucauld; Sophia Bethany Coban; Robert van Liere; Marta Fajardo; Philippe Zeitoun; Kees Joost Batenburg (J. Imaging, 2020)

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning. - Maureen van Eijnatten; Leonardo Rundo; Kees Joost Batenburg; Felix Lucka; Emma Beddowes; Carlos Caldas; Ferdia A. Gallagher; Evis Sala; Carola-Bibiane Schönlieb; Ramona Woitek (Comput. Methods Programs Biomed., 2021)

Comparison of convolutional neural network training strategies for cone-beam CT image segmentation. - Jordi Minnema; Jan Wolff; Juha Koivisto; Felix Lucka; Kees Joost Batenburg; Tymour Forouzanfar; Maureen van Eijnatten (Comput. Methods Programs Biomed., 2021)

High Resolution 3D Ultrasonic Breast Imaging by Time-Domain Full Waveform Inversion. - Felix Lucka; Mailyn Pérez-Liva; Bradley E. Treeby; Ben T. Cox (CoRR, 2021)

Deep Learning for Multi-View Ultrasonic Image Fusion. - Georgios Pilikos; Lars Horchens; Tristan van Leeuwen; Felix Lucka (CoRR, 2021)

Single Plane-Wave Imaging using Physics-Based Deep Learning. - Georgios Pilikos; Chris L. de Korte; Tristan van Leeuwen; Felix Lucka (CoRR, 2021)

Photoacoustic Reconstruction Using Sparsity in Curvelet Frame: Image Versus Data Domain. - Bolin Pan; Simon R. Arridge; Felix Lucka; Ben T. Cox; Nam Huynh; Paul C. Beard; Edward Z. Zhang; Marta M. Betcke (IEEE Trans. Computational Imaging, 2021)

SparseAlign: A Super-Resolution Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography. - Poulami Somanya Ganguly; Felix Lucka; Holger Kohr; Erik Franken; Hermen Jan Hupkes; Kees Joost Batenburg (CoRR, 2022)

Effects of awareness and task relevance on neurocomputational models of mismatch negativity generation. - Insa Schlossmacher; Felix Lucka; Antje Peters; Maximilian Bruchmann; Thomas Straube (NeuroImage, 2022)

SparseAlign: A Grid-Free Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography. - Poulami Somanya Ganguly; Felix Lucka; Holger Kohr; Erik Franken; Hermen Jan Hupkes; Kees Joost Batenburg (IEEE Trans. Computational Imaging, 2022)

2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning. - Maximilian B. Kiss; Sophia Bethany Coban; Kees Joost Batenburg; Tristan van Leeuwen; Felix Lucka (CoRR, 2023)

Mitigating the Limited View Problem in Photoacoustic Tomography for a Planar Detection Geometry by Regularized Iterative Reconstruction. - Jiaqi Zhu; Nam Huynh; Olumide Ogunlade; Rehman Ansari; Felix Lucka; Ben T. Cox; Paul C. Beard (IEEE Trans. Medical Imaging, 2023)

Experimental Validation of Ultrasound Beamforming with End-to-End Deep Learning for Single Plane Wave Imaging. - Ryan A. L. Schoop; Gijs A. G. M. Hendriks; Tristan van Leeuwen; Chris L. de Korte; Felix Lucka (CoRR, 2024)

Learned denoising with simulated and experimental low-dose CT data. - Maximilian B. Kiss; Ander Biguri; Carola-Bibiane Schönlieb; Kees Joost Batenburg; Felix Lucka (CoRR, 2024)

Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models. - Ezgi Demircan-Tureyen; Felix Lucka; Tristan van Leeuwen (CoRR, 2024)

Benchmarking learned algorithms for computed tomography image reconstruction tasks. - Maximilian B. Kiss; Ander Biguri; Zakhar Shumaylov; Ferdia Sherry; Kees Joost Batenburg; Carola-Bibiane Schönlieb; Felix Lucka (CoRR, 2024)

Task-Adaptive Angle Selection for Computed Tomography-Based Defect Detection. - Tianyuan Wang; Virginia Florian; Richard Schielein; Christian Kretzer; Stefan Kasperl; Felix Lucka; Tristan van Leeuwen (J. Imaging, 2024)

Single-Shot Tomography of Discrete Dynamic Objects. - Ajinkya Kadu; Felix Lucka; Kees Joost Batenburg (IEEE Trans. Computational Imaging, 2024)

Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning. - Tianyuan Wang; Felix Lucka; Tristan van Leeuwen (IEEE Trans. Computational Imaging, 2024)