M. Kleineberg, M. Fey and F. Weichert, "Adversarial Generation of Continuous Implicit Shape Representations" in Eurographics, 2020.

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K. Wüstefeld and F. Weichert, "An Automated Rapid Test for Viral Nanoparticles Based on Spatiotemporal Deep Learning" , IEEE Sensors, pp. 1-4, 2020.

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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+), 2020.

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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.

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and G. Müller, "Generating Cuneiform Signs with Cycle-Consistent Adversarial Networks" , International Workshop on Historical Document Imaging and Processing (HIP19) , pp. 19-24, 2019.

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.

doi.org/10.3390/s19194138

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.

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.

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.

10.3390/s18072194

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.

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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.

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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.

10.3390/ijgi7070258

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.

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.

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.

10.3390/s17020244

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.

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.

H. Müller and F. Weichert, Vorkurs Informatik - Der Einstieg ins Informatikstudium (2017). .... 5 Springer Vieweg, 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.

10.3390/informatics4040044

A. Böckenkamp, F. Weichert, J. Stenzel and D. Lünsch, "Towards Autonomously Navigating and Cooperating Vehicles in Cyber-Physical Production Systems" , ML4CPS - Machine Learning for Cyber Physical Systems and Industry 4.0, pp. 111-121, 2016.

10.1007/978-3-662-48838-6_14

S. Skibinski, F. Weichert and H. Müller, "Selected Aspects Important from the Applied Point of View to the Fusion of Collective Vehicle Data" , IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems - MFI 2016, pp. 148-155, 2016.

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.

S. Skibinski, F. Weichert and H. Müller, "Parametric Fusion of Complex Landmark Observations Present Within the Road Network by Utilizing Bundle-Adjustment-based Full-SLAM" , International Conference of Information Fusion, FUSION 2016, pp. 917-926, 2016.