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ORCIDJohannes Vorwerk
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2020 – today
- 2023
[i3]Malte B. Höltershinken, Pia Lange, Tim Erdbrügger, Yvonne Buschermöhle, Fabrice Wallois, Alena Buyx, Sampsa Pursiainen, Johannes Vorwerk, Christian Engwer, Carsten H. Wolters:
The Localized Subtraction Approach For EEG and MEG Forward Modeling. CoRR abs/2302.12785 (2023)- [i2]Jinlong Dong, Milana Komosar, Johannes Vorwerk, Daniel Baumgarten
, Jens Haueisen:
Scatter-based common spatial patterns - a unified spatial filtering framework. CoRR abs/2303.06019 (2023) - 2020
- [j11]Johannes Vorwerk, David McCann, Jens H. Krüger, Christopher R. Butson:
Interactive computation and visualization of deep brain stimulation effects using Duality. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(1): 3-14 (2020)
2010 – 2019
- 2019
- [j10]Andreas Horn, Ningfei Li, Till Anselm Dembek, Ari Kappel, Chadwick B. Boulay, Siobhan Ewert, Anna Tietze, Andreas Husch, Thushara Perera, Wolf-Julian Neumann, Marco Reisert, Hang Si, Robert Oostenveld, Christopher Rorden, Fang-Cheng Yeh, Qianqian Fang, Todd M. Herrington, Johannes Vorwerk, Andrea A. Kühn:
Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging. NeuroImage 184: 293-316 (2019) - [j9]Johannes Vorwerk, Anne Hanrath, Carsten H. Wolters, Lars Grasedyck:
The multipole approach for EEG forward modeling using the finite element method. NeuroImage 201 (2019) - 2017
- [j8]Christian Engwer, Johannes Vorwerk, Jakob Ludewig, Carsten H. Wolters:
A Discontinuous Galerkin Method to Solve the EEG Forward Problem Using the Subtraction Approach. SIAM J. Sci. Comput. 39(1) (2017) - [j7]Johannes Vorwerk, Christian Engwer, Sampsa Pursiainen, Carsten H. Wolters:
A Mixed Finite Element Method to Solve the EEG Forward Problem. IEEE Trans. Medical Imaging 36(4): 930-941 (2017) - 2016
- [j6]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:
The role of blood vessels in high-resolution volume conductor head modeling of EEG. NeuroImage 128: 193-208 (2016) - [j5]Sven Wagner, Felix Lucka, Johannes Vorwerk, Christoph S. Herrmann, G. Nolte, Martin Burger, Carsten H. Wolters:
Using reciprocity for relating the simulation of transcranial current stimulation to the EEG forward problem. NeuroImage 140: 163-173 (2016) - [j4]Lukas Dominique Josef Fiederer, Jacob Lahr, Johannes Vorwerk, Felix Lucka, Ad Aertsen, Carsten H. Wolters, Andreas Schulze-Bonhage, Tonio Ball:
Electrical Stimulation of the Human Cerebral Cortex by Extracranial Muscle Activity: Effect Quantification With Intracranial EEG and FEM Simulations. IEEE Trans. Biomed. Eng. 63(12): 2552-2563 (2016) - 2015
- [j3]Jae-Hyun Cho, Johannes Vorwerk, Carsten H. Wolters, Thomas R. Knösche:
Influence of the head model on EEG and MEG source connectivity analyses. NeuroImage 110: 60-77 (2015) - [j2]Martin Bauer, Sampsa Pursiainen, Johannes Vorwerk, Harald Köstler, Carsten H. Wolters:
Comparison Study for Whitney (Raviart-Thomas)-Type Source Models in Finite-Element-Method-Based EEG Forward Modeling. IEEE Trans. Biomed. Eng. 62(11): 2648-2656 (2015) - [i1]Christian Engwer, Johannes Vorwerk, Jakob Ludewig, Carsten H. Wolters:
A discontinuous Galerkin Method for the EEG Forward Problem. CoRR abs/1511.04892 (2015) - 2014
- [j1]Johannes Vorwerk, Jae-Hyun Cho, Stefan Rampp, Hajo M. Hamer, Thomas R. Knösche, Carsten H. Wolters:
A guideline for head volume conductor modeling in EEG and MEG. NeuroImage 100: 590-607 (2014)
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