Dr. Daniel Tenbrinck

Prof. Dr. Daniel Tenbrinck, Akad. Rat

Akademischer Rat

Department of Data Science (DDS)
Professur im Themenfeld Data Science

Raum 04.376
Cauerstr. 11
91058 Erlangen

Lebenslauf

Grundwehrdienst bei der Luftwaffe, Budel (Niederlande), 2004-2005.
Studium in Informatik mit Nebenfach Mathematik an der Westfälischen Wilhelms-Universität (WWU) Münster, 2005-2009, Diplom 2009.
Doktor der Naturwissenschaften in Informatik an der WWU Münster, 2013.
Wissenschaftlicher Mitarbeiter und Postdoc im SFB 656 „Molekulare Bildgebung“ an der WWU Münster, 2009-2013.
Postdoc an der École Nationale Ecole Nationale Supérieure d’Ingénieurs de Caen (ENSICAEN), Frankreich, 2014.
Postdoc am Institut für Angewandte Mathematik, Prof. Burger, WWU Münster, 2014-2018.
Postdoc am Lehrstuhl für Angewandte Mathematik, Prof. Burger, FAU Erlangen-Nürnberg, 2018-2019.
Akademischer Rat auf Zeit am Lehrstuhl für Angewandte Mathematik, Prof. Burger, FAU Erlangen-Nürnberg, seit 2019.

Publikationen

Bozorgnia F., Bungert L., Tenbrinck D.:
The Infinity Laplacian Eigenvalue Problem: Reformulation and a Numerical Scheme
In: Journal of Scientific Computing 98 (2024), Art.Nr.: 40
ISSN: 0885-7474
DOI: 10.1007/s10915-023-02425-w
URL: https://link.springer.com/article/10.1007/s10915-023-02425-w
BibTeX: Download
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
BibTeX: Download

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, 21-05-2023 - 25-05-2023)
In: SSVM 2023: Scale Space and Variational Methods in Computer Vision 2023
DOI: 10.1007/978-3-031-31975-4_52
BibTeX: Download
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, 23-05-2023 - 25-05-2023)
In: Scale Space and Variational Methods in Computer Vision 2023
DOI: 10.1007/978-3-031-31975-4_18
BibTeX: Download

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
BibTeX: Download

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
BibTeX: Download
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 (Hrsg.): 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
BibTeX: Download
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, 27-07-2021 - 30-07-2021)
URL: https://arxiv.org/abs/2102.12196
BibTeX: Download
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, 18-07-2021 - 22-07-2021)
DOI: 10.1109/ijcnn52387.2021.9534190
BibTeX: Download

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
BibTeX: Download

Bungert L., Burger M., Tenbrinck D.:
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction
SSVM 2019 (Hofgeismar, 30-06-2019 - 04-07-2019)
DOI: 10.1007/978-3-030-22368-7_23
URL: https://arxiv.org/abs/1902.10414
BibTeX: Download

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
BibTeX: Download

Bergmann R., Tenbrinck D.:
Nonlocal Inpainting of Manifold-Valued Data on Finite Weighted Graphs
International Conference on Geometric Science of Information (Mines ParisTech, Paris, 07-11-2017 - 09-11-2017)
URL: https://arxiv.org/abs/1704.06424
BibTeX: Download

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

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), S. 2412-2451
ISSN: 1936-4954
DOI: 10.1137/15M1022793
BibTeX: Download
Tenbrinck D., Jiang X.:
Image Segmentation with Arbitrary Noise Models by Solving Minimal Surface Problems
In: Pattern Recognition 48 (2015), S. 3293-3309
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2015.01.006
BibTeX: Download
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)
BibTeX: Download

Burger M., Modersitzki J., Tenbrinck D.:
Mathematical methods in biomedical imaging
In: GAMM-Mitteilungen 37 (2014), S. 154-183
ISSN: 0936-7195
DOI: 10.1002/gamm.201410008
BibTeX: Download
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
BibTeX: Download
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), S. 231-240
ISSN: 0302-9743
DOI: 10.1007/978-3-319-08554-8_24
BibTeX: Download
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), S. 2-12
ISSN: 0169-2607
DOI: 10.1016/j.cmpb.2014.06.015
BibTeX: Download

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, 27-08-2013 - 29-08-2013)
BibTeX: Download
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), S. 179-209
ISSN: 0924-9907
DOI: 10.1007/s10851-013-0419-6
BibTeX: Download
Tenbrinck D.:
Variational Methods for Medical Ultrasound Imaging (Dissertation, 2013)
URL: https://www.datascience.nat.fau.eu/files/2023/11/dissertation_tenbrinck.pdf
BibTeX: Download
Tenbrinck D., Jiang X.:
Discriminant Analysis Based Level Set Segmentation for Ultrasound Imaging
International Conference on Computer Analysis of Images and Patterns (York, 27-08-2013 - 29-08-2013)
BibTeX: Download
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), S. 138-150
ISSN: 0924-9907
DOI: 10.1007/s10851-012-0398-z
BibTeX: Download
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
BibTeX: Download

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
BibTeX: Download

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, 29-08-2011 - 31-08-2011)
BibTeX: Download

Lehrveranstaltungen

Keine passenden Datensätze gefunden.

Prof. Dr. Daniel Tenbrinck, Akad. Rat

Lebenslauf

Publikationen

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

Lehrveranstaltungen