Wolschewski, A., Schreiber, M., Handel, T., Ivanova, G.: Method for estimation of weather and weekday effects on activity behavior acquired using wearable sensors. 2019 IEEE Sensors Applications Symposium (SAS) Proceedings. Sophia Antipolis, 11-13.03.2019, ISBN: 978-1-5386-7713-1, Part Number: CFP19SAS-ART

Rothamaler, K. Ivaonva, G.: The HEURECA Method: Tracking Multiple Phase Coupling Dynamics on a Single Trial Basis, Journal of Neuroscience Methods: 21-JUN-2018, DOI:10.1016/j.jneumeth.2018.06.010

Handel, T., Schreiber, M., Rothmaler, K., Ivanova, G.: Data Security and Raw Data Access of Contemporary Mobile Sensor Devices. In: Lhotska L., Sukupova L., Lacković I., Ibbott G. (eds) World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol 68/1, Ch. 73, Springer Nature, Singapore, 2018, Print ISBN: 978-981-10-9034-9, Online ISBN: 978-981-10-9035-6, DOI.: 10.1007/978-981-10-9035-6_73

Handel, T., Schön, J., Rothmaler, K., Schreiber, M., Ivanova, G.: Overview Of The Technical Challenges Faced When Using Consumer Mobile Biosensors Within Telemedical Applications. International Conference on Medical Informatics and Telemedicine (Medical Informatics 2017), Czech Republic, Prague, 31/08/2017-01/09/2017.

Rothmaler, K., Nigbur, R., Ivanova, G.: New Insights into Insight: Neurophysiological Correlates of the Difference Between the Intrinsic “Aha” and the Extrinsic “Oh Yes” Moment. Neuropsychologia, ELSEVIER, Vol 95, Jan 2017, pp 204-2014, doi: 10.1016/j.neuropsychologia.2016.12.17.

Clemens Fritzsch, Jörn Hoffmann, Martin Bogdan: Separated Random Number Generators for Virtual Machines; 47. Jahrestagung der Gesellschaft für Informatik e.V. (GI), 2017

Karim Ellaithy, Martin Bogdan: Enhancements on the Modied Stochastic Synaptic Model: The Functional Heterogeneity, ICANN 2017

Carina Walter, Wolfgang Rosenstiel, Martin Bogdan, Peter Gerjets, Martin Spüler, Online EEG-Based Workload Adaptation of an Arithmetic Learning Environment, Frontiers in Human Neuroscience, 2017

Aleithe, M. and Ivanova, G.: An Architectural Model for High Performance Pattern Matching in Linked Historical Data, Lecture Notes in Business Information Processing (LNBIP) Series, Springer, 2016; Vol. 263, 2017 pp 323-331, ISBN: 978-3-319-52463-4 (print), 978-3-319-52464-1 (online).




Visualizing Topological Properties of the Search Landscape of Combinatorial Optimization Problems, Volke, Sebastian, Zeckzer Dirk, Middendorf Martin, and Gerik Scheuermann, Topological Methods in Data Analysis and Visualization IV: Theory, Algorithms, and Applications, (In Press)

Kirsten, T., Bumberger, J., Ivanova, G., Dietrich, P., Engel, C., Loeffler, M., and Kiess, W.: On Integrating Health and Environmental Data in Epidemiological Studies, Lecture Notes in Business Information Processing (LNBIP) Series, Springer, Vol. 263, 2017; pp 347-354, ISBN: 978-3-319-52463-4 (print), 978-3-319-52464-1 (online).

iDotter – an interactive dot plot viewer, Gerighausen, Daniel, Hausdorf Alrik, Zänker Sebastian, and Zeckzer Dirk , WSCG 17, Pilsen, Czech Republic, (2017)


Analyzing Histone Modifications in iPS Cells Using Tiled Binned 3D Scatter Plots, Zeckzer, Dirk, Gerighausen Daniel, and Müller Lydia , International Symposium on Big Data Visual Analytics 2016, 11/2016, Sydney, Australia, p.1–8, (2016)

Martin Spüler, Florian Grimm, Alireza Gharbaghi, Martin Bogdan, Wolfgang Rosenstiel: Prediction of Auditory and Visual P300 Brain-Computer Interface Aptitude, Advances in Neurotechnology, Electronics and Informatics, Biosystems & Biorobotics 12, 2016

Sierra platinum: a fast and robust peak-caller for replicated ChIP-seq experiments with visual quality-control and -steering, Müller, Lydia, Gerighausen Daniel, Farman Mariam, and Zeckzer Dirk , BMC Bioinformatics, 09/2016, Volume 17, Issue 1, p.1–13, (2016)


An Improved Decomposition and Drawing Process for Optimal Topological Visualization of Directed Graphs, Abuthawabeh, Ala, and Zeckzer Dirk , 31st Spring Conference on Computer Graphics, 04/2015, Smolenice Castle, Slovakia, (2015)

Heideklang, R., Shokouhi, P.: Multi-sensor image fusion at signal level for improved near-surface crack detection, NDT & E Internationalv Elsevier, 2015. doi:10.1016/j.ndteint.2014.12.008

Rothmaler, K. and Ivanova, G.: Tracking Multiple Phase Coupling Dynamics on a Single Trial Basis, 6th European Conference of the International Federation for Medical and Biological Engineering, IFMBE Proceedings 45, pp 942-946; DOI: 10.1007/978-3-319-11128-5_234, Springer International Publishing Switzerland 2015, ISSN 1680-0737, ISBN 978-3-319-11127-8.

Ivanova, G., Handel, T., Seibold, C., Perkunder, H., Schreiber, M.: The Evolution of Neural Processes within the Scope of Multimodal Network Analysis, BMS 2015, Preprints of the 9th IFAC Symposium on Biological and Medical Systems The International Federation of Automatic Control Berlin, Germany, Aug. 31 – Sept. 2, 2015.

Ivanova, G. and Kutin, P.: Multivariate Spatial Analysis of Cognitive Signals Based on Selected Intrinsic Mode Functions, 6th European Conference of the International Federation for Medical and Biological Engineering, IFMBE Proceedings 45, pp. 50-53; DOI: 10.1007/978-3-319-11128-5_13, Springer International Publishing Switzerland 2015, ISSN 1680-0737, ISBN 978-3-319-11127-8.

Perkunder, H. and Ivanova, G.: Fusion of Functional and Structural Brain Networks Using Graph Modeling with Intermediate Nodes, 6th European Conference of the International Federation for Medical and Biological Engineering, IFMBE Proceedings 45, pp. 248-251; DOI: 10.1007/978-3-319-11128-5_62, Springer International Publishing Switzerland 2015, ISSN 1680-0737, ISBN 978-3-319-11127-8.


M. Bogdan, D. Brugger, W. Rosenstiel, B. Speiser: Estimation of diffusion coefficients from voltammetric signals by support vector and gaussian process regression, Journal of Cheminformatics 6:30,  2014

T. Schmid, D. Günzel, M. Bogdan: Automated Quantification of the Relation between Resistor-Capacitor Subcircuits from an Impedance Spectrum, Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, pp. 141-148, 2014

K. El-Laithy, M. Bogdan: Synaptic energy drives the information processing mechanisms in spiking neural networks. Mathematical Biosciences and Engineering 11(2), 2014


Pauen, K., Ivanova G.: Circular correlation coefficients versus the phase-locking-value, In: Biomedical Engineering / Biomedizinische Technik, Vol.: 58, September 2013, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: 10.1515/bmt-2013-4162.

Franke, R., Ivanova, G.: FALCON or how to compute measures time efficiently on dynamically evolving dense complex networks?, Journal of Biomedical Informatics, Elsevier, 2013, doi: 10.1016/j.jbi.2013.09.005.

Pauen K., Ivanova G., Multiple circular-circular correlation coefficients for the quantification of phase synchronization processes in the brain, In: Biomedical Engineering, Vol. 58, Issue 2, February 2013, pp. 141-155, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: 10.1515/bmt-2012-0025.

Ivanova, G., Pauen, K., Heideklang, R., Katsarska, I.: New Methodical Developments for Dynamic Analysis in Time-Frequency Domain, Workshop Biomedical Image and Signal Computing, GMDS 2013, Workshop Biomedical Image and Signal Computing 2013, GMDS 2013, Abstract band ISBN 978-3-86386-537-5 pp. 557-558.

T. Schmid, M. Bogdan, D. Günzel: Discerning Apical and Basolateral Properties of HT-29/B6 and IPEC-J2 Cell Layers by Impedance Spectroscopy, Mathematical Modeling and Machine Learning, PLoS ONE 8(7): e62913, 2013