Wissenschaftliche Publikationen

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T. Harweg, D. Bachmann and F. Weichert, "Agent-based Simulation of Pedestrian Dynamics for Exposure Time Estimationin Epidemic Risk Assessment" , Journal of Public Health (accepted for publication), 2021.


M. Kleineberg, M. Fey and F. Weichert, "Adversarial Generation of Continuous Implicit Shape Representations" in Eurographics, 2020.
 PDF Link
K. Wüstefeld and F. Weichert, "An Automated Rapid Test for Viral Nanoparticles Based on Spatiotemporal Deep Learning" , IEEE Sensors, pp. 1-4, 2020.
 PDF Link 10.1109/SENSORS47125.2020.9278935
T. Harweg, A. Peter, D. Bachmann and F. Weichert, CNN-Based Deep Architecture for Health Monitoring of Civil and Industrial Structures using UAVs: 6th International Electronic Conference on Sensors and Applications.
 PDF https://doi.org/10.3390/ecsa-6-06640
M. Fey, J. Yuen and F. Weichert, "Hierarchical Inter-Message Passing for Learning on Molecular Graphs" in ICML Graph Representation Learning and Beyond (GRL+) (accepted for publication), 2020.
 PDF Link
M. D. Jedrusiak and F. Weichert, "A Deep Learning Approach for Denoising Air-Coupled Ultrasonic Responds Data" , International Journal of Artificial Intelligence and Applications (IJAIA), vol. 11, no. 4, pp. 15-28, 2020.
 PDF Link


G. Rinkenauer, T. Plewan, D. Bachmann and F. Weichert, "Vergleich von virtuellen Interaktionssystemen mit einer realen Situation" , Arbeit interdisziplinär analysieren - bewerten - gestalten: 65. Kongress der Gesellschaft für Arbeitswissenschaft, vol. 6, pp. 1-6, 2019.
M. Yayla, A. Toma, J. E. Lenssen, J. Chen, F. Weichert and K. Chen, "Resource-efficient Nanoparticle Classification Using Frequency Domain Analysis" , Bildverarbeitung für die Medizin, pp. 339-344, 2019.
M. Yayla, A. Toma, K. Chen, J. E. Lenssen, V. Shpacovitch, R. Hergenröder, F. Weichert and J. Chen, "Nanoparticle Classification Using Frequency Domain Analysis on Resource-Limited Platforms" , Sensors, Special Issue Surface Plasmon Resonance (SPR)-Based Sensors and Their Biological Applications, vol. 19, pp. 1-15, 2019.
E. Rusakov, K. Brandenbusch, D. Fisseler, T. Somel, G. A. Fink, F. Weichert and G. Müller, "Generating Cuneiform Signs with Cycle-Consistent Adversarial Networks" , International Workshop on Historical Document Imaging and Processing (HIP19) , pp. 19-24, 2019.
J. Deuse, L. Stankiewicz, R. Zwinkau and F. Weichert, "Automatic generation of methods-time measurement analyses for assembly tasks from motion capture data using convolutional neuronal networks - A proof of concept" , Advances in Human Factors and Systems Interaction (AHFE 2019), Advances in Intelligent Systems and Computing, vol. 959, pp. 141-150, 2019.


D. Bachmann, F. Bökler, J. Kopec, K. Popp, B. Schwarze and F. Weichert, "Multi-Objective Optimisation based Planning of Power-Line Grid Expansions" , ISPRS International Journal of Geo-Information, vol. 7, pp. 1-22, 2018.
J. E. Lenssen, A. Toma, A. Seebold, V. Shpacovitch, P. Libuschewski, F. Weichert, J. Chen and R. Hergenröder, "Real-Time Low SNR Signal Processing for Nanoparticle Analysis with Deep Neural Networks" , 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), vol. 4 (BIOSIGNALS), pp. 36-47, 2018.
N. Kriege, M. Fey, D. Fisseler, P. Mutzel and F. Weichert, "Recognizing Cuneiform Signs Using Graph Based Methods" in International Workshop on Cost-Sensitive Learning (COST), 2018.
D. Bachmann, F. Weichert and G. Rinkenauer, "Review of three-dimensional Human-Computer Interaction with Focus on the Leap Motion Controller" , Sensors, vol. 18, pp. 1-39, 2018.
M. Fey, J. E. Lenssen, F. Weichert and H. Müller, "SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels" in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. pp. 869-877.


J. E. Lenssen, V. Shpacovitch and F. Weichert, "Real-time Virus Size Classification using Surface Plasmon Resonance and Convolutional Neural Networks" , Bildverarbeitung für die Medizin 2017, pp. 98-103, 2017.
D. Fisseler, G. Müller and F. Weichert, "Web-Based Scientific Exploration and Analysis of 3D Scanned Cuneiform Datasets for Collaborative Research" , Informatics, vol. 4, pp. 1-16, 2017.
H. Müller and F. Weichert, Vorkurs Informatik - Der Einstieg ins Informatikstudium (2017). .... 5 Springer Vieweg, 2017.
G. Rinkenauer, A. Böckenkamp and F. Weichert, "Man-Robot Collaboration in the Context of Industry 4.0: Approach-Avoidance Tendencies as an Indicator for the Affective Quality of Interaction?" , Advances in Ergonomic Design of Systems, Products and Processes: Proceedings of the Annual Meeting of GfA 2016, pp. 335-348, 2017.
A. Böckenkamp, C. Mertens, C. Prasse, J. Stenzel and F. Weichert, "A Versatile and Scalable Production Planning and Control System for Small Batch Series" , Industrial Internet of Things: Cybermanufacturing Systems, Springer, pp. 541-559, 2017.
V. Shpacovitch, I. Sidorenko, J. E. Lenssen, V. Temchura, F. Weichert, H. Müller, K. Überla, A. Zybin, A. Schramm and R. Hergenröder, "Application of the PAMONO-sensor for Quantification of Microvesicles and Determination of Nano-particle Size Distribution" , Sensors, vol. 17, pp. 1-14, 2017.
J. E. Lenssen, V. Shpacovitch, D. Siedhoff, P. Libuschewski, R. Hergenröder and F. Weichert, "A Review of Nano-Particle Analysis with the PAMONO-Sensor" , Biosensors: Advances and Reviews, IFSA Publishing, pp. 81-100, 2017.


M. Wagner, B. Vicinus, S. Muthra, T. Richards, R. Linder, V. O. Frick, A. Groh, C. Rubie and F. Weichert, "Text Mining, A Race Against Time? An Attempt to Quantify Possible Variations in Text Corpora of Medical Publications Throughout the Years" , Computers in Biology and Medicine, vol. 73, pp. 173-185, 2016.
A. Böckenkamp, F. Weichert and C. Prasse, "A Robust, Real-time Capable Framework for Fully Automated Order Picking of Pouch-parceled Goods" , LNNS, Proceedings of SAI Intelligent Systems Conference (IntelliSys), pp. 78-102, 2016.