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)
Cauerstr. 11
91058 Erlangen
- Phone number: +49 9131 85-67233
- Fax number: +49 9131 85-67225
- Email: daniel.tenbrinck@fau.de
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
2022
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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
2021
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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 - , , , , :
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
BibTeX: Download - , , , , , , , :
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 - , , , , , , :
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks
International Joint Conference on Neural Networks (IJCNN) (Online, 18-07-2021 - 22-07-2021)
BibTeX: Download
2020
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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
2019
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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
2018
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A Graph Framework for Manifold-valued Data
In: Siam Journal on Imaging Sciences 11 (2018)
ISSN: 1936-4954
DOI: 10.1137/17M1118567
BibTeX: Download
2017
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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
2016
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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
2015
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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 - , :
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 - , , :
Solving Minimal Surface Problems on Surfaces and Point Clouds
International Conference on Scale Space and Variational Methods in Computer Vision (Bordeaux)
BibTeX: Download
2014
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Mathematical methods in biomedical imaging
In: GAMM-Mitteilungen 37 (2014), p. 154-183
ISSN: 0936-7195
DOI: 10.1002/gamm.201410008
BibTeX: Download - , , , :
Software Phantom with Realistic Speckle Modeling for Validation of Image Analysis Methods in Echocardiography
SPIE Medical Imaging 2014: Ultrasonic Imaging and Tomography
BibTeX: Download - , , , :
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 - , , , :
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
2013
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Biomedical Imaging: A Computer Vision Perspective
International Conference on Computer Analysis of Images and Patterns (York, 27-08-2013 - 29-08-2013)
BibTeX: Download - , , , :
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 - :
Variational Methods for Medical Ultrasound Imaging (Dissertation, 2013)
URL: http://cvpr.uni-muenster.de/organisation/tenbrinck-diss.pdf
BibTeX: Download - , :
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 - , , , , :
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 - , , , :
Regional Classification of Left Ventricular Wall in Small Animal Ultrasound Imaging
International Conference on Biomedical Informatics and Technology
BibTeX: Download
2012
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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
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, 29-08-2011 - 31-08-2011)
BibTeX: Download
Teaching
Exercise (UE)
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Übungen zur Einführung in die Numerik
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Matlab-Kurs zur Einführung in die Numerik
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Matlab-Kurs zur Einführung in die Numerik
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Matlab-Kurs zur Einführung in die Numerik
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Matlab-Kurs zur Einführung in die Numerik
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Matlab-Kurs zur Einführung in die Numerik
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Tutorium zur Einführung in die Numerik
Lecture (VORL)
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Einführung in die Numerik (= Numerische Mathematik)
Die Vorlesung findet in Präsenz statt, wenn nötig wird auf Online-Lehre ausgewichen.
Die Module Analysis, Lineare Algebra, MATLAB-Kenntnisse.
Empfohlen wird die Teilnahme am MATLAB-Kurs Einführung in Matlab/Octave.Geeignet als Wahlpflichtmodul für Angewandte Mathematik (AMLA). Die Anmeldung erfolgt über StudOn.