2025

• Aloradi A., Gaznepoglu ÜE., Habets E., Tenbrinck D.:
  VoxATtack: A Multimodal Attack on Voice Anonymization Systems
  DOI: 10.48550/arXiv.2507.12081
• Gaznepoglu ÜE., Leschanowsky A., Aloradi A., Singh P., Tenbrinck D., Habets E., Peters N.:
  You Are What You Say: Exploiting Linguistic Content for VoicePrivacy Attacks
  26th Interspeech Conference 2025 (Rotterdam, NLD, 17. August 2025 - 21. August 2025)
  In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2025
  DOI: 10.21437/Interspeech.2025-681

2024

• Bozorgnia F., Bungert L., Tenbrinck D.:
  The Infinity Laplacian Eigenvalue Problem: Reformulation and a Numerical Scheme
  In: Journal of Scientific Computing 98 (2024), Article No.: 40
  ISSN: 0885-7474
  DOI: 10.1007/s10915-023-02425-w
  URL: https://link.springer.com/article/10.1007/s10915-023-02425-w
• Fazeny A., Tenbrinck D., Lukin K., Burger M.:
  Hypergraph p-Laplacians and Scale Spaces
  In: Journal of Mathematical Imaging and Vision (2024)
  ISSN: 0924-9907
  DOI: 10.1007/s10851-024-01183-0
  URL: https://link.springer.com/article/10.1007/s10851-024-01183-0

2023

• Fazeny A., Tenbrinck D., Burger M.:
  Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks
  International Conference on Scale Space and Variational Methods in Computer Vision (Santa Margherita di Pula, 21. May 2023 - 25. May 2023)
  In: SSVM 2023: Scale Space and Variational Methods in Computer Vision 2023
  DOI: 10.1007/978-3-031-31975-4_52
• Kabri S., Roith T., Tenbrinck D., Burger M.:
  Resolution-Invariant Image Classification Based on Fourier Neural Operators
  International Conference on Scale Space and Variational Methods in Computer Vision (Santa Margherita di Pula, 23. May 2023 - 25. May 2023)
  In: Scale Space and Variational Methods in Computer Vision 2023
  DOI: 10.1007/978-3-031-31975-4_18

2022

• Bungert L., Roith T., Tenbrinck D., Burger M.:
  A Bregman Learning Framework for Sparse Neural Networks
  In: Journal of Machine Learning Research (2022)
  ISSN: 1532-4435
  Open Access: https://www.jmlr.org/papers/v23/21-0545.html

2021

• Bergmann R., Herzog R., Silva Louzeiro M., Tenbrinck D., Vidal-Núñez J.:
  Fenchel Duality Theory and a Primal-Dual Algorithm on Riemannian Manifolds
  In: Foundations of Computational Mathematics (2021)
  ISSN: 1615-3375
  DOI: 10.1007/s10208-020-09486-5
• Bungert L., Raab R., Roith T., Schwinn L., Tenbrinck D.:
  CLIP: Cheap Lipschitz Training of Neural Networks
  International Conference on Scale Space and Variational Methods in Computer Vision
  In: Abderrahim Elmoataz, Jalal Fadili, Yvain Quéau, Julien Rabin, Loïc Simon (ed.): SSVM 2021: Scale Space and Variational Methods in Computer Vision, Cham: 2021
  DOI: 10.1007/978-3-030-75549-2_25
  URL: https://arxiv.org/abs/2103.12531
• Schwinn L., Nguyen A., Raab R., Bungert L., Tenbrinck D., Zanca D., Burger M., Eskofier B.:
  Identifying untrustworthy predictions in neural networks by geometric gradient analysis
  Conference on Uncertainty in Artificial Intelligence (UAI) (Online, 27. July 2021 - 30. July 2021)
  URL: https://arxiv.org/abs/2102.12196
• Schwinn L., Nguyen A., Raab R., Zanca D., Eskofier B., Tenbrinck D., Burger M.:
  Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks
  International Joint Conference on Neural Networks (IJCNN) (Online, 18. July 2021 - 22. July 2021)
  DOI: 10.1109/ijcnn52387.2021.9534190

2020

• Gross-Thebing S., Truszkowski L., Tenbrinck D., Sanchez-Iranzo H., Camelo C., Westerich KJ., Singh A., Maier P., Prengel J., Lange P., Huewel J., Gaede F., Sasse R., Vos BE., Betz T., Matis M., Prevedel R., Luschnig S., Diz-Munoz A., Burger M., Raz E.:
  Using migrating cells as probes to illuminate features in live embryonic tissues
  In: Science Advances 6 (2020)
  ISSN: 2375-2548
  DOI: 10.1126/sciadv.abc5546

2019

• Bungert L., Burger M., Tenbrinck D.:
  Computing Nonlinear Eigenfunctions via Gradient Flow Extinction
  SSVM 2019 (Hofgeismar, 30. June 2019 - 4. July 2019)
  DOI: 10.1007/978-3-030-22368-7_23
  URL: https://arxiv.org/abs/1902.10414

2018

• Bergmann R., Tenbrinck D.:
  A Graph Framework for Manifold-valued Data
  In: Siam Journal on Imaging Sciences 11 (2018)
  ISSN: 1936-4954
  DOI: 10.1137/17M1118567

2017

• Bergmann R., Tenbrinck D.:
  Nonlocal Inpainting of Manifold-Valued Data on Finite Weighted Graphs
  International Conference on Geometric Science of Information (Mines ParisTech, Paris, 7. November 2017 - 9. November 2017)
  URL: https://arxiv.org/abs/1704.06424

2016

• Tenbrinck D., Jiang X.:
  Image segmentation with physical noise models
  In: Ayman El-Baz, Xiaoyi Jiang, Jasjit S. Suri (ed.): Biomedical Image Segmentation Advances and Trends, CRC Press, 2016, p. 461-484

2015

• Elmoataz A., Toutain M., Tenbrinck D.:
  On the p-Laplacian and ∞-Laplacian on Graphs with Applications in Image and Data Processing
  In: Siam Journal on Imaging Sciences 8 (2015), p. 2412-2451
  ISSN: 1936-4954
  DOI: 10.1137/15M1022793
• Tenbrinck D., Jiang X.:
  Image Segmentation with Arbitrary Noise Models by Solving Minimal Surface Problems
  In: Pattern Recognition 48 (2015), p. 3293-3309
  ISSN: 0031-3203
  DOI: 10.1016/j.patcog.2015.01.006
• Tenbrinck D., Lozes F., Elmoataz A.:
  Solving Minimal Surface Problems on Surfaces and Point Clouds
  International Conference on Scale Space and Variational Methods in Computer Vision (Bordeaux)

2014

• Burger M., Modersitzki J., Tenbrinck D.:
  Mathematical methods in biomedical imaging
  In: GAMM-Mitteilungen 37 (2014), p. 154-183
  ISSN: 0936-7195
  DOI: 10.1002/gamm.201410008
• Law Y., Tenbrinck D., Jiang X., Kuhlen T.:
  Software Phantom with Realistic Speckle Modeling for Validation of Image Analysis Methods in Echocardiography
  SPIE Medical Imaging 2014: Ultrasonic Imaging and Tomography
• Suhr S., Tenbrinck D., Burger M., Modersitzki J.:
  Registration of noisy images via maximum a-posteriori estimation
  In: Lecture Notes in Computer Science 8545 LNCS (2014), p. 231-240
  ISSN: 0302-9743
  DOI: 10.1007/978-3-319-08554-8_24
• Ungru K., Tenbrinck D., Jiang X., Stypmann J.:
  Automatic Classification of Left Ventricular Wall Segments in Small Animal Ultrasound Imaging
  In: Computer Methods and Programs in Biomedicine 117 (2014), p. 2-12
  ISSN: 0169-2607
  DOI: 10.1016/j.cmpb.2014.06.015

2013

• Jiang X., Dawood M., Gigengack F., Risse B., Schmid S., Tenbrinck D., Schäfers KP.:
  Biomedical Imaging: A Computer Vision Perspective
  International Conference on Computer Analysis of Images and Patterns (York, 27. August 2013 - 29. August 2013)
• Sawatzky A., Tenbrinck D., Jiang X., Burger M.:
  A Variational Framework for Region-Based Segmentation Incorporating Physical Noise Models
  In: Journal of Mathematical Imaging and Vision 47 (2013), p. 179-209
  ISSN: 0924-9907
  DOI: 10.1007/s10851-013-0419-6
• Tenbrinck D.:
  Variational Methods for Medical Ultrasound Imaging (Dissertation, 2013)
  URL: https://www.datascience.nat.fau.eu/files/2023/11/dissertation_tenbrinck.pdf
• Tenbrinck D., Jiang X.:
  Discriminant Analysis Based Level Set Segmentation for Ultrasound Imaging
  International Conference on Computer Analysis of Images and Patterns (York, 27. August 2013 - 29. August 2013)
• Tenbrinck D., Schmid S., Jiang X., Schaefers K., Stypmann J.:
  Histogram-based Optical Flow for Motion Estimation in Ultrasound Imaging
  In: Journal of Mathematical Imaging and Vision 47 (2013), p. 138-150
  ISSN: 0924-9907
  DOI: 10.1007/s10851-012-0398-z
• Tenbrinck D., Ungru K., Jiang X., Stypmann J.:
  Regional Classification of Left Ventricular Wall in Small Animal Ultrasound Imaging
  International Conference on Biomedical Informatics and Technology

2012

• Tenbrinck D., Sawatzky A., Jiang X., Burger M., Haffner W., Willems P., Paul M., Stypmann J.:
  Impact of physical noise modeling on image segmentation in echocardiography
  3rd Eurographics Workshop on VisualComputing in Biology and Medicine, EG VCBM 2012 (Norrkoping, swe)
  DOI: 10.2312/VCBM/VCBM12/033-040

2011

• Schmid S, Tenbrinck D, Jiang X, Schäfers K, Tiemann K, Stypmann J:
  Histogram-Based Optical Flow for Functional Imaging in Echocardiography
  International Conference on Computer Analysis of Images and Patterns (Sevilla, 29. August 2011 - 31. August 2011)