| Connectivity predicts deep brain stimulation outcome in P arkinson disease A Horn, M Reich, J Vorwerk, N Li, G Wenzel, Q Fang, T Schmitz‐Hübsch, ... Annals of neurology 82 (1), 67-78, 2017 | 205 | 2017 |
| A guideline for head volume conductor modeling in EEG and MEG J Vorwerk, JH Cho, S Rampp, H Hamer, TR Knösche, CH Wolters NeuroImage 100, 590-607, 2014 | 172 | 2014 |
| Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging A Horn, N Li, TA Dembek, A Kappel, C Boulay, S Ewert, A Tietze, A Husch, ... Neuroimage 184, 293-316, 2019 | 162 | 2019 |
| Investigation of tDCS volume conduction effects in a highly realistic head model S Wagner, SM Rampersad, Ü Aydin, J Vorwerk, TF Oostendorp, T Neuling, ... Journal of neural engineering 11 (1), 016002, 2013 | 123 | 2013 |
| Combining EEG and MEG for the reconstruction of epileptic activity using a calibrated realistic volume conductor model Ü Aydin, J Vorwerk, P Küpper, M Heers, H Kugel, A Galka, L Hamid, ... PLoS One 9 (3), e93154, 2014 | 73 | 2014 |
| Combined EEG/MEG can outperform single modality EEG or MEG source reconstruction in presurgical epilepsy diagnosis Ü Aydin, J Vorwerk, M Dümpelmann, P Küpper, H Kugel, M Heers, ... PloS one 10 (3), e0118753, 2015 | 71 | 2015 |
| Influence of the head model on EEG and MEG source connectivity analyses JH Cho, J Vorwerk, CH Wolters, TR Knösche Neuroimage 110, 60-77, 2015 | 69 | 2015 |
| Influence of the head model on EEG and MEG source connectivity analyses JH Cho, J Vorwerk, CH Wolters, TR Knösche Neuroimage 110, 60-77, 2015 | 69 | 2015 |
| Influence of the head model on EEG and MEG source connectivity analyses JH Cho, J Vorwerk, CH Wolters, TR Knösche Neuroimage 110, 60-77, 2015 | 69 | 2015 |
| Comparison of boundary element and finite element approaches to the EEG forward problem J Vorwerk, M Clerc, M Burger, CH Wolters Biomedical Engineering/Biomedizinische Technik 57 (SI-1 Track-O), 795-798, 2012 | 58 | 2012 |
| The FieldTrip-SimBio pipeline for EEG forward solutions J Vorwerk, R Oostenveld, MC Piastra, L Magyari, CH Wolters Biomedical engineering online 17 (1), 37, 2018 | 44 | 2018 |
| Optimized programming algorithm for cylindrical and directional deep brain stimulation electrodes DN Anderson, B Osting, J Vorwerk, AD Dorval, CR Butson Journal of neural engineering 15 (2), 026005, 2018 | 43 | 2018 |
| A discontinuous Galerkin method to solve the EEG forward problem using the subtraction approach C Engwer, J Vorwerk, J Ludewig, CH Wolters SIAM Journal on Scientific Computing 39 (1), B138-B164, 2017 | 40 | 2017 |
| Anodic stimulation misunderstood: preferential activation of fiber orientations with anodic waveforms in deep brain stimulation DN Anderson, G Duffley, J Vorwerk, AD Dorval, CR Butson Journal of neural engineering 16 (1), 016026, 2019 | 37 | 2019 |
| 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 | 35 | 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 | 30 | 2016 |
| A mixed finite element method to solve the EEG forward problem J Vorwerk, C Engwer, S Pursiainen, CH Wolters IEEE transactions on medical imaging 36 (4), 930-941, 2016 | 24 | 2016 |
| The discontinuous Galerkin finite element method for solving the MEG and the combined MEG/EEG forward problem MC Piastra, A Nüßing, J Vorwerk, H Bornfleth, R Oostenveld, C Engwer, ... Frontiers in Neuroscience 12, 30, 2018 | 22 | 2018 |
| Comparison study for Whitney (Raviart–Thomas)-type source models in finite-element-method-based EEG forward modeling M Bauer, S Pursiainen, J Vorwerk, H Köstler, CH Wolters IEEE Transactions on Biomedical Engineering 62 (11), 2648-2656, 2015 | 22 | 2015 |
| Comparison of numerical approaches to the EEG forward problem J Vorwerk Westfälische Wilhelms-Universität Münster, 2011 | 20 | 2011 |
