Professoren und Lehrkräfte
Prof. Dr. Martin Storath
Besucheranschrift
Ignaz-Schön-Straße 11
97421 Schweinfurt
97421 Schweinfurt
Raum
1.E.43
Sprechstunden
Vorlesungszeit: Di. 10:00 - 11:00 oder nach Vereinbarung
Vorlesungsfreie Zeit: Nach Vereinbarung
Derzeit nur virtuelle Sprechstunden, bitte per Email anmelden!
Funktion(en)
Leiter Labor für mathematische Methoden für Computer Vision u. maschinelles Lernen
Aufgabenbereich(e)
Studiengangsleitung Zertifikatslehrgang Data Science Specialist
Aktuelles
News
- Der neue Zertifikatslehrgang Data Science Specialist startet im Oktober 2020 am Campus Weiterbildung der FHWS
- Der MINT-Brückenkurs Brücken schlagen: Von der Schulmathematik zur Hochschulmathematik ist nun an der Virtuellen Hochschule Bayern belegbar
- Das Zertifikat Hochschullehre Bayern wurde erfolgreich abgeschlossen
Lehrgebiete
Teaching
- Linear Algebra for Mathematicians
- Optimization for Mathematicians
- Mathematics for Electrical Engineering
- Mathematics for Mechanical Engineering
Lab
Lab for Mathematical Methods in Computer Vision and Machine Learning
Publikationen
Recent Publications
- M. Storath, A. Weinmann. Variational regularization of inverse problems for manifold-valued data. Information and Inference: A Journal of the IMA, 2021
- L. Kiefer, S. Petra, M. Storath, A. Weinmann. Multi-channel Potts-based reconstruction for multi-spectral computed tomography. Inverse Problems, 2021
- L. Kiefer, M. Storath, A. Weinmann. An algorithm for second order Mumford-Shah models based on a Taylor jet formulation. SIAM Journal on Imaging Sciences, 2020
- L. Kiefer, M. Storath, A. Weinmann. PALMS Image Partitioning - A New Parallel Algorithm for the Piecewise Affine-Linear Mumford-Shah Model. Image Processing Online, 2020
- L. Kiefer, M. Storath, A. Weinmann. Iterative Potts minimization for the recovery of signals with discontinuities from indirect measurements -- the multivariate case. Foundations of Computational Mathematics, 2020
- M. Storath, A. Weinmann. Wavelet sparse regularization for manifold-valued data. Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, 18(2):674–706, 2020
- L. Kiefer, M. Storath, A. Weinmann. An efficient algorithm for the piecewise affine-linear Mumford-Shah model based on a Taylor jet splitting. IEEE Transactions on Image Processing, 29:921–933, 2019
- M. Storath, L. Kiefer, A. Weinmann. Smoothing for signals with discontinuities using higher order Mumford-Shah models. Numerische Mathematik, 143(2):423-460, 2019
- M. Esposito, C. Hennersperger, R. Göbl, L. Demaret, M. Storath, N. Navab, M. Baust, A. Weinmann. Total variation regularization of pose signals with an application to 3D freehand ultrasound. IEEE Transactions on Medical Imaging, 38(10):2245–2258, 2019
- A. Bendinger, C. Debus, C. Glowa, C. Karger, J. Peter, M. Storath. Bolus arrival time estimation in dynamic contrast-enhanced MRI of small animals based on spline models. Physics in Medicine and Biology, 64(4):045003, 2019
- D. Fortun, M. Storath, D. Rickert, A. Weinmann, M. Unser. Fast piecewise-affine motion estimation without segmentation. IEEE Transactions on Image Processing, 27(11):5612–5624, 2018
- L. Kiefer, S. Petra, M. Storath, A. Weinmann. Direct MRI segmentation from k-space data by iterative Potts minimization. International Conference on Scale Space and Variational Methods (SSVM), 2019
- M. Weiler, F. Hamprecht, M. Storath. Learning steerable filters for rotation equivariant CNNs. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 849–858, 2018
- K. Bredies, M. Holler, M. Storath, A. Weinmann. Total generalized variation for manifold-valued data. SIAM Journal on Imaging Sciences, 11(3):1785–1848, 2018
- W. Erb, A. Weinmann, M. Ahlborg, C. Brandt, G. Bringout, T. Buzug, J. Frikel, C. Kaethner, T. Knopp, T. März, M. Möddel, M. Storath, A. Weber. Mathematical Analysis of the 1D Model and Reconstruction Schemes for Magnetic Particle Imaging. Inverse Problems, 34(5):055012, 2018
- M. Kiechle, M. Storath, A. Weinmann, M. Kleinsteuber. Model-based learning of local image features for unsupervised texture segmentation. IEEE Transactions on Image Processing, 27(4):1994–2007, 2018
- M. Storath, A. Weinmann. Fast median filtering for phase or orientation data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(3):639–652, 2018
Full list here: Google Scholar
Open Source Software
- Pottslab - Multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)
- DCEBE - Estimation of bolus arrival times for DCE-MRI signals
- CircleMedianFilter - Fast median filter for circle-valued data, for example signals or images describing phase or orientation
- L1TV - Denoising/reconstruction of piecewise constant signals using the L1TV model
- MumfordShah2D - Algorithms for edge preserving smoothing based on the Mumford-Shah model
- PALMS Image Partitioning - A New Parallel Algorithm for the Piecewise Affine-Linear Mumford-Shah Model
Vita
Short CV
- Since 2018: Professor of Mathematics, Hochschule Würzburg-Schweinfurt
- 2016 - 2018: Researcher at the Image Analysis and Learning Group, Universität Heidelberg
- 2013 - 2016: Researcher at the Biomedical Imaging Group, EPFL in Lausanne
- 2013: PhD in Applied Mathematics, TU München
- 2010 - 2013: Researcher at Helmholtz Zentrum München GmbH
- 2008 - 2010: Scientific assistant, TU München
- 2009 Honors degree in Technology Management, TU München and LMU München
- 2008 Diplom in Mathematics with Computer Science, TU München