Dr. Daniel Tenbrinck

Dr. Daniel Tenbrinck (Akad. Rat)

Dr. Daniel Tenbrinck, Akad. Rat

Department of Mathematics
Chair of Applied Mathematics (Modeling and Numerics) (Prof. Dr. Burger)

Room 04.345
Cauerstr. 11
91058 Erlangen

Résumé

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.

Publications

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

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 (ed.): Biomedical Image Segmentation
Advances and Trends, CRC Press, 2016, p. 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), p. 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), p. 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), p. 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), p. 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), p. 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), p. 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: http://cvpr.uni-muenster.de/organisation/tenbrinck-diss.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), p. 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

Teaching

Arbeitsgemeinschaft (AG)

AG Mathematics of Deep Learning
- Tue 12:00-14:00, Room Zoom-Meeting

Hauptseminar (HS)

Bachelorseminar "Mathematische Modellierung und Datenanalyse"
- Time and place on appointment

Masterseminar (MAS)

Masterseminar "Mathematische Modellierung und Datenanalyse"
- Time and place on appointment

Übung (UE)

Übungen zu Mathematik für Physikstudierende B
- Thu 16:00-18:00, Room Zoom-Meeting
- Wed 8:00-10:00, Room Zoom-Meeting
- Thu 16:00-18:00, Room Zoom-Meeting
Übungen zu Mathematik für Data Science 2
- Thu 12:00-14:00, Room Zoom-Meeting
- Thu 14:00-16:00, Room Zoom-Meeting
Tafelübung zu Mathematik für Data Science 2
- Fri 12:00-14:00, Room Zoom-Webinar
Tafelübung zu Mathematik für Physikstudierende B
- Fri 12:00-14:00, Room Zoom-Webinar

Vorlesung (VORL)

Mathematical Data Science 1
- Thu 8:00-10:00, Room H13
Mathematik für Data Science 2
- Mon 12:15-14:00
- Wed 12:15-14:00
- Mon 12:15-14:00, Room Zoom-Webinar
- Wed 12:15-14:00, Room Zoom-Webinar
Mathematik für Physikstudierende B
- Mon 12:15-14:00
- Wed 12:15-14:00
- Mon 12:15-14:00, Room Zoom-Webinar
- Wed 12:15-14:00, Room Zoom-Webinar

Tutorium (TUT)

Practical Session to Mathematical Data Science 1
- Wed 9:00-10:00, Room Praktikum 1 - PC-Pool / 00.325-128

Dr. Daniel Tenbrinck, Akad. Rat

Résumé

Publications

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

Teaching

Arbeitsgemeinschaft (AG)

Hauptseminar (HS)

Masterseminar (MAS)

Übung (UE)

Vorlesung (VORL)

Tutorium (TUT)