Prof. Dr. Andreas Weinmann
Faculty of Angewandte Natur- und Geisteswissenschaften
Visiting Address
Ignaz-Schön-Straße 11
97421 Schweinfurt
97421 Schweinfurt
Room
5.E.17
Office Hours
by appointment via email
Function(s)
Head of Lab for Algorithms for Computer Vision, Imaging and Data Analysis
Areas of Duty
Professor of Algorithms and AI
News
October 2026: MPISuperRes-PnP, a super-resolution method for magnetic particle imaging, has been published in Physics in Medicine & Biology. The code is freely available.
8 July 2026: 2nd Main-Danube Workshop on Computer Vision, Machine Learning and Applications at THWS in Schweinfurt
12 May 2026: Talk “Machine Learning and Model-Based Reconstruction in Magnetic Particle Imaging” at Campus Ignaz Schön
15 January 2026: Vladyslav Gapyak received his doctorate summa cum laude. Thesis title: “Robust and Efficient Algorithms for Image Reconstruction with Applications to Magnetic Particle Imaging”
Teaching Areas
Courses in the winter semester 2026/27
- Mathematics Bachelor of Mechanical Engineering I
Lab
Lab for Algorithms for Computer Vision, Imaging and Data Analysis
Bachelor’s and master’s theses
I supervise theses in
- computer vision
- machine learning
- imaging and inverse problems, for example magnetic particle imaging
- data analysis
If you are interested, please get in touch by email.
Publications
All publications, sorted by year. Citation counts and full texts are available on Google Scholar.
2026
- V. Gapyak, T. März, A. Weinmann. MPISuperRes-PnP: A super-resolution zero-shot plug-and-play reconstruction algorithm for magnetic particle imaging. Physics in Medicine & Biology, 71(19):195033, 2026
- T. Selig, P. Bauer, T. März, M. Storath, J. Frikel, A. Weinmann. Filter-free two-stage reconstruction for low-dose CT across regular and irregular sparse-angle sampling. Sensing and Imaging, 27(1):152, 2026
- T. R. Lenhard, A. Weinmann, T. Koch. Performance optimization of YOLO-FEDER FusionNet for robust drone detection in visually complex environments. Machine Vision and Applications, 37(6):138, 2026
- Y. Ali, J. Müller, A. Weinmann, J. Gregori. Performance of federated versus centralized learning for mammography classification across film–digital domain shift. Frontiers in Digital Health, 8:1715858, 2026
- M. Dorscht, M. Stark, N. Oberndorfer, B. Böhm, A. Weinmann, A. Dreizler et al. Atomic composition analysis of iron-based particles via single-shot LIBS and spectral fitting under fluctuating plasma conditions. Measurement Science and Technology, 37(4):045501, 2026
- M. Dorscht, N. Oberndorfer, M. Stark, B. Böhm, A. Weinmann, A. Dreizler et al. Optically accessible electrodynamic levitator for in-situ LIBS characterization of iron particles under reactive conditions. Optics Express, 34(6):9652–9668, 2026
- K. Koschnick, A. M. Ferris, M. Stark, D. Stark, J. Welzenbach, N. Winkler, A. Weinmann, C. Hess, B. J. M. Etzold, A. Drochner, T. Franken, D. Geyer, A. Dreizler. Gas-phase Raman spectroscopy for two-dimensional temperature and concentration profiling in the catalytic oxidative dehydrogenation of ethanol. Applied Catalysis A: General, 712:120767, 2026
- T. März, V. Gapyak, A. Weinmann. Higher order regularization using harmonic eigenfunctions for model-based reconstruction in magnetic particle imaging. Inverse Problems, 42(2):025002, 2026
- S. Bianchi, C. Jordan, M. Beukes, E. Hergenröther, T. März, A. Weinmann. Vision-language based object detection for wildlife camera trap data. Third Workshop on Computer Vision for Ecology (CV4E), 2026
- B. Isselmann, Y. Ali, A. Weinmann, J. Gregori. Modality-embedded set transformer pooling for multimodal prostate cancer survival prediction. IEEE CBMS 2026
- Y. Ali, J. Müller, A. Weinmann, J. Gregori. Explainable and fair federated learning with XGBoost for predicting pathological complete response in breast cancer using multicenter DCE-MRI data. Medical Imaging 2026: Computer-Aided Diagnosis, Proc. SPIE 13926, 192–198, 2026
- T. Selig, L. Groznov, T. März, M. Storath, A. Weinmann. Fine-tuning Gaussian denoisers for fluorescence microscopy image enhancement. Proc. SPIE, 2026
- V. Gapyak, T. März, A. Weinmann. Noise estimation in zero-shot plug-and-play reconstruction for 3D MPI data. Engineering Proceedings, 150(1):92, 2026
- T. Selig, T. März, M. Storath, A. Weinmann. Fine-tuning a denoiser for low-dose CT image reconstruction. Engineering Proceedings, 150(1):38, 2026
- A. Srinivasan, X. Cheng, J. Yi, A. Geng, D. Ivanova, A. Weinmann et al. Hybrid quantum–classical AI for industrial defect classification in welding images. Engineering Proceedings, 150(1):96, 2026
- T. März, V. Gapyak, A. Weinmann. MPI reconstruction using harmonic eigenfunctions. AIP Conference Proceedings, 3489(1):280060, 2026
- V. Polushko, D. Hatic, R. Rösch, T. März, M. Rauhut, A. Weinmann. Remote sensing imagery for flood detection: exploration of augmentation strategies. AIP Conference Proceedings, 3489(1):120001, 2026
- V. Gapyak, T. März, A. Weinmann. Towards addressing nanoparticle relaxation in model-based reconstruction. International Journal on Magnetic Particle Imaging, 12(1, Suppl. 1):2603021, 2026
- T. R. Lenhard, A. Weinmann, T. Koch. Beyond clear skies: synthetic seasonal and weather variations for real-world drone detection. arXiv:2608.16191, 2026
- P. Bauer, M. Schwinning, M. Siegel, A. Weinmann, H. Snoussi. Adapting a foundation model for lunar surface height estimation. arXiv:2609.02448, 2026
- D. Ruppel, H. Kutlu, K. A. Neumann, M. Knuth, P. Santos, A. Weinmann et al. Beyond reprojection error: camera calibration with 3D targets. arXiv:2608.05066, 2026
- J. M. Stürmer, J. Knack, T. Koch, A. Weinmann. Simulation code generation for fluid systems using large language models: benchmarking models and prompting strategies. arXiv:2607.29389, 2026
- V. Polushko, T. Bucher, R. Rösch, T. März, M. Rauhut, A. Weinmann. Flood mapping from RGB imagery using a vision foundation model. arXiv:2606.24120, 2026
- A. M. Pangeva, Y. Ferhi, A. Geng, A. Weinmann, D. Ivanova, A. Moghiseh. Schmidt decomposition-based methods for efficient quantum image encoding. arXiv:2606.10874, 2026
- B. Isselmann, D. Göksu, H. Neumann, A. Weinmann. Using deep learning models pretrained by self-supervised learning for protein localization. arXiv:2604.10970, 2026
- V. Gapyak, T. März, A. Weinmann. Debye relaxation in model-based multi-dimensional magnetic particle imaging. arXiv:2603.11708, 2026
- B. Isselmann, D. Göksu, A. Weinmann. Generalization of self-supervised vision transformers for protein localization across microscopy domains. arXiv:2602.05527, 2026
- P. Bauer, M. Schwinning, F. Renk, A. Weinmann, H. Snoussi. Vision-language model for accurate crater detection. arXiv:2601.07795, 2026
- T. R. Lenhard, A. Weinmann, H. Snoussi, T. Koch. Detector-augmented SAMURAI for long-duration drone tracking. arXiv:2601.04798, 2026
2025
- J. Moske, H. Kutlu, P. Groenewold, P. Santos, A. Weinmann, A. Kuijper et al. Photometric stereo for tool wear monitoring: addressing challenges of specular surfaces in sheet metal forming. Manufacturing Review, 12:29, 2025
- V. Gapyak, T. März, A. Weinmann. Fast trajectory-independent model-based reconstruction algorithm for multi-dimensional magnetic particle imaging. Physics in Medicine & Biology, 70(23):235028, 2025
- V. Gapyak, T. März, A. Weinmann. Reconstruction formulae for 3D field-free line magnetic particle imaging. SIAM Journal on Applied Mathematics, 85(4):1643–1666, 2025
- K. Koschnick, A. M. Ferris, B. Zhang, J. Lill, M. Stark, A. Weinmann, H. H. Limbach, T. Gutmann, D. Geyer, A. Dreizler. High-sensitivity gas-phase Raman spectroscopy for time-resolved in situ analysis of isotope scrambling over platinum nanocatalysts. Analytical Chemistry, 97:18117–18125, 2025
- V. Gapyak, C. E. Rentschler, T. März, A. Weinmann. An ℓ1-plug-and-play approach for MPI using a zero shot denoiser with evaluation on the 3D open MPI dataset. Physics in Medicine & Biology, 70(2):025028, 2025
- S. Volz, M. Storath, A. Weinmann. Degrees-of-freedom penalized piecewise regression. Information and Inference: A Journal of the IMA, 14(1):iaaf002, 2025
- V. Suessle, M. Heurich, C. T. Downs, A. Weinmann, E. Hergenröther. CNN-based flank predictor for quadruped animal species. IET Computer Vision, 19(1), 2025
- T. R. Lenhard, A. Weinmann, K. Franke, T. Koch. SynDroneVision: A synthetic dataset for image-based drone detection. WACV 2025, 7637–7647
- P. Gruner, M. Beukes, V. Suessle, M. Biber, M. Jansen, E. Hergenröther, A. Weinmann. Fine-grained visual classification of antelope species. IbPRIA 2025, 325–339
- T. Selig, P. Bauer, J. Frikel, T. März, M. Storath, A. Weinmann. Two-stage approach for low-dose and sparse-angle CT reconstruction using backprojection. Bildverarbeitung für die Medizin (BVM) 2025, 286–291
- V. Polushko, D. Hatic, R. Rösch, T. März, M. Rauhut, A. Weinmann. Flooded road detection using deep learning and street map semantics for humanitarian aid support. IGARSS 2025
- V. Polushko, T. Bucher, D. Hatic, R. Rösch, T. März, M. Rauhut, A. Weinmann. NeuenahrFlood dataset and an improved human-in-the-loop strategy for efficient flood water segmentation. Earth Resources and Environmental Remote Sensing/GIS Applications XVI, Proc. SPIE 13671, 2025
- P. Bauer, M. Schwinning, F. Renk, A. Weinmann, H. Snoussi. Small lunar crater detection using a few-shot object detection approach with Vision Transformer. 6th International Conference on Computer Vision and Information Technology (CVIT), 2025
- C. Weber, J. Seeger, B. Isselmann, J. Gregori, A. Weinmann. Investigation of domain specific pretraining of a Swin transformer to improve Alzheimer’s disease classification on three different brain imaging modalities. Medical Imaging 2025: Computer-Aided Diagnosis, Proc. SPIE 13407, 484–492, 2025
- B. Isselmann, C. Weber, J. Seeger, A. M. Wink, H. J. M. M. Mutsaerts et al. Investigation of multimodal deep-learning architectures for the classification of Alzheimer’s disease and amyloid status. Medical Imaging 2025: Computer-Aided Diagnosis, Proc. SPIE 13407, 279–286, 2025
- T. R. Lenhard, A. Weinmann, S. Jäger, E. Brucherseifer. Deploying a feedback loop-based training strategy for deep learning-based drone detection. AIP Conference Proceedings, 3182(1):060004, 2025
- V. Gapyak, T. März, A. Weinmann. Model-based reconstruction of 2D distributions from 1D multi-patch data in magnetic particle imaging. AIP Conference Proceedings, 3182(1):090010, 2025
- V. Gapyak, T. März, A. Weinmann. Methods for multi-patching in 3D field-free line magnetic particle imaging. AIP Conference Proceedings, 3315(1):310002, 2025
- J. Moske, H. Kutlu, A. Steinmeier, P. Groenewold, P. Santos, A. Kuijper et al. Inline wear detection in high-speed progressive dies using photometric stereo. MATEC Web of Conferences, 408:01031, 2025
- H. Kutlu, F. Brucker, B. Kallendrusch, K. A. Neumann, M. E. Schneider et al. Autonomous image-based scanning pipeline for 3D digitization of transparent objects using scene representation in the cultural heritage domain. International Workshop on Spatial Intelligence for Cultural Heritage, 2025
2024
- M. Storath, A. Weinmann. Smoothing splines for discontinuous signals. Journal of Computational and Graphical Statistics, 33(2):651–664, 2024
- V. Gapyak, T. März, A. Weinmann. Variational model-based reconstruction techniques for multi-patch data in magnetic particle imaging. Journal of Computational and Applied Mathematics, 451:116046, 2024
- V. Polushko, A. Jenal, J. Bongartz, I. Weber, D. Hatic, R. Rösch, T. März, M. Rauhut, A. Weinmann. BlessemFlood21: A high-resolution georeferenced dataset for advanced analysis of river flood scenarios. IEEE Access, 12:176389–176405, 2024
- K. Koschnick, A. M. Ferris, J. Lill, M. Stark, N. Winkler, A. Weinmann, A. Dreizler, D. Geyer. Dual-track spectrometer design for 1D gas-phase Raman spectroscopy. Optics Express, 32(14):24384–24405, 2024
- J. Lill, M. Stark, R. Schultheis, A. Weinmann, A. Dreizler, D. Geyer. Towards non-intrusive, quantitative N2O Raman measurements in ammonia flames. Proceedings of the Combustion Institute, 40(1–4):105458, 2024
- T. R. Lenhard, A. Weinmann, S. Jäger, T. Koch. YOLO-FEDER FusionNet: A novel deep learning architecture for drone detection. ICIP 2024, 2299–2305
- V. Polushko, A. Jenal, J. Bongartz, I. Weber, D. Hatic, R. Rösch, T. März, M. Rauhut, A. Weinmann. BlessemFlood21: Advancing flood analysis with a high-resolution georeferenced dataset for humanitarian aid support. IGARSS 2024
- R. Horst, D. Hagens, E. Hergenröther, A. Weinmann. Real time state detection of a foosball game using CNN-based computer vision. Science and Information Conference (SAI) 2024, 343–354
- C. Weber, J. Seeger, B. Isselmann, M. Günther, A. Weinmann, J. Gregori. Application of Swin Transformer for Alzheimer’s disease classification on structural MRI and FDG-PET brain scans using ADNI data. 2024
- T. März, V. Gapyak, A. Weinmann. A flexible model-based regularized reconstruction approach for magnetic particle imaging. AIP Conference Proceedings, 3094(1):440001, 2024
- V. Gapyak, T. März, A. Weinmann. Quality-enhancing techniques for a two-stage model-based approach for magnetic particle imaging. AIP Conference Proceedings, 3094(1):440002, 2024
- M. Storath, A. Weinmann. Solving higher-order Mumford-Shah models. AIP Conference Proceedings, 3094(1):440006, 2024
- V. Gapyak, C. Rentschler, T. März, A. Weinmann. A zero-shot L1-plug-and-play approach for system-matrix-based MPI. International Journal on Magnetic Particle Imaging, 10(1, Suppl. 1), 2024
- M. Doell, D. Kuehn, V. Suessle, M. J. Burnett, C. T. Downs, A. Weinmann et al. Automated bioacoustic monitoring for South African bird species on unlabeled data. arXiv:2406.13579, 2024
- D. Hagens, J. M. Knaup, E. Hergenröther, A. Weinmann. CNN-based game state detection for a foosball table. arXiv:2404.05357, 2024
2023
- T. R. Dieter, A. Weinmann, S. Jäger, E. Brucherseifer. Quantifying the simulation–reality gap for deep learning-based drone detection. Electronics, 12(10):2197, 2023
- V. Suessle, M. Arandjelovic, A. K. Kalan, A. Agbor, C. Boesch, G. Brazzola, T. Deschner, P. Dieguez, A.-C. Granjon, H. Kuehl, A. Landsmann, J. Lapuente, N. Maldonado, A. Meier, Z. Rockaiova, E. G. Wessling, R. M. Wittig, C. T. Downs, A. Weinmann, E. Hergenröther. Automatic individual identification of patterned solitary species based on unlabeled video data. Journal of WSCG, 31(1–2):1–10, 2023
- T. Dieter, A. Weinmann, E. Brucherseifer. Generating synthetic data for deep learning-based drone detection. AIP Conference Proceedings, 2939(1):030007, 2023
- T. März, V. Gapyak, A. Weinmann. A two-stage model-based regularized reconstruction approach for magnetic particle imaging. AIP Conference Proceedings, 2939(1):100008, 2023
2022
- V. Gapyak, T. März, A. Weinmann. Quality-enhancing techniques for model-based reconstruction in magnetic particle imaging. Mathematics, 10(18):3278, 2022
- K. Dieter, K. Koschnick, J. Lill, G. Magnotti, A. Weinmann, A. Dreizler, D. Geyer. Development of a Raman spectrometer for the characterization of gaseous hydrocarbons at high temperatures. Journal of Quantitative Spectroscopy and Radiative Transfer, 277:107978, 2022
- C. Schmidt, P. Fuchs, A. Weinmann. Object identification on CT data via 3D optical character recognition. International Conference on NDE 4.0, 2022
2021
- U. Reif, A. Weinmann. Clothoid fitting and geometric Hermite subdivision. Advances in Computational Mathematics, 47(4):50, 2021
- 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, 21(3):649–694, 2021
- L. Kiefer, S. Petra, M. Storath, A. Weinmann. Multi-channel Potts-based reconstruction for multi-spectral computed tomography. Inverse Problems, 37(4):045004, 2021
- M. Storath, A. Weinmann. Variational regularization of inverse problems for manifold-valued data. Information and Inference: A Journal of the IMA, 10:195–230, 2021
2020
- L. Kiefer, M. Storath, A. Weinmann. PALMS image partitioning – a new parallel algorithm for the piecewise affine-linear Mumford-Shah model. Image Processing On Line, 10:124–149, 2020
- 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, 13(4):2307–2360, 2020
- M. Storath, A. Weinmann. Wavelet sparse regularization for manifold-valued data. Multiscale Modeling and Simulation, 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, 2020
- P. Grohs, M. Holler, A. Weinmann (eds.). Handbook of Variational Methods for Nonlinear Geometric Data. Springer Nature, 2020
- M. Holler, A. Weinmann. Non-smooth variational regularization for processing manifold-valued data. In: Handbook of Variational Methods for Nonlinear Geometric Data, 51–93, 2020
- M. Baust, A. Weinmann. Manifold-valued data in medical imaging applications. In: Handbook of Variational Methods for Nonlinear Geometric Data, 613–647, 2020
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
- L. Kiefer, S. Petra, M. Storath, A. Weinmann. Direct MRI segmentation from k-space data by iterative Potts minimization. SSVM 2019, 406–418
2018
- 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
- 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
- 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
- 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
- A. Weinmann. Variational Methods for the Reconstruction of Signals with Discontinuities. Habilitation thesis, Osnabrück University, 2018
2017
- M. Storath, D. Rickert, M. Unser, A. Weinmann. Fast segmentation from blurred data in 3D fluorescence microscopy. IEEE Transactions on Image Processing, 26(10):4856–4870, 2017
- M. Storath, A. Weinmann, M. Unser. Jump-penalized least absolute values estimation of scalar or circle-valued signals. Information and Inference: A Journal of the IMA, 6(3):225–245, 2017
- M. Storath, C. Brandt, M. Hofmann, T. Knopp, J. Salamon, A. Weber, A. Weinmann. Edge preserving and noise reducing reconstruction for magnetic particle imaging. IEEE Transactions on Medical Imaging, 36(1):74–85, 2017
2016
- T. März, A. Weinmann. Model-based reconstruction for magnetic particle imaging in 2D and 3D. Inverse Problems and Imaging, 10(4):1087–1110, 2016
- A. Stefanoiu, A. Weinmann, M. Storath, N. Navab, M. Baust. Joint segmentation and shape regularization with a generalized forward backward algorithm. IEEE Transactions on Image Processing, 25(7):3384–3394, 2016
- M. Baust, A. Weinmann, M. Wieczorek, T. Lasser, M. Storath, N. Navab. Combined tensor fitting and TV regularization in diffusion tensor imaging based on a Riemannian manifold approach. IEEE Transactions on Medical Imaging, 35(8):1972–1989, 2016
- M. Bačák, R. Bergmann, G. Steidl, A. Weinmann. A second order non-smooth variational model for restoring manifold-valued images. SIAM Journal on Scientific Computing, 38(1):A567–A597, 2016
- M. Storath, A. Weinmann, M. Unser. Exact algorithms for L1-TV regularization of real-valued or circle-valued signals. SIAM Journal on Scientific Computing, 38(1):A614–A630, 2016
- R. Bergmann, A. Weinmann. A second order TV-type approach for inpainting and denoising higher dimensional combined cyclic and vector space data. Journal of Mathematical Imaging and Vision, 55(3):401–427, 2016
- A. Weinmann, L. Demaret, M. Storath. Mumford-Shah and Potts regularization for manifold-valued data. Journal of Mathematical Imaging and Vision, 55(3):428–445, 2016
2015
- K. Hohm, M. Storath, A. Weinmann. An algorithmic framework for Mumford-Shah regularization of inverse problems in imaging. Inverse Problems, 31(11):115011, 2015 (Highlight 2015 of Inverse Problems)
- A. Weinmann, M. Storath. Iterative Potts and Blake-Zisserman minimization for the recovery of functions with discontinuities from indirect measurements. Proceedings of the Royal Society A, 471(2176):20140638, 2015
- A. Weinmann, M. Storath, L. Demaret. The L1-Potts functional for robust jump-sparse reconstruction. SIAM Journal on Numerical Analysis, 53(1):644–673, 2015
- M. Storath, A. Weinmann, J. Frikel, M. Unser. Joint image reconstruction and segmentation using the Potts model. Inverse Problems, 31(2):025003, 2015 (Highlight 2015 of Inverse Problems)
- M. Wieczorek, J. Vogel, A. Weinmann, C. Jud, F. Schaff, M. Storath, F. Pfeiffer et al. Total variation regularization for X-ray tensor tomography. Fully3D 2015
- M. Baust, L. Demaret, M. Storath, N. Navab, A. Weinmann. Total variation regularization of shape signals. CVPR 2015
- R. Bergmann, A. Weinmann. Inpainting of cyclic data using first and second order differences. EMMCVPR 2015, 155–168
2014 and before
- R. Bergmann, F. Laus, G. Steidl, A. Weinmann. Second order differences of cyclic data and applications in variational denoising. SIAM Journal on Imaging Sciences, 7(4):2916–2953, 2014
- A. Weinmann, L. Demaret, M. Storath. Total variation regularization for manifold-valued data. SIAM Journal on Imaging Sciences, 7(4):2226–2257, 2014
- M. Storath, A. Weinmann. Fast partitioning of vector-valued images. SIAM Journal on Imaging Sciences, 7(3):1826–1852, 2014
- M. Storath, A. Weinmann, L. Demaret. Jump-sparse and sparse recovery using Potts functionals. IEEE Transactions on Signal Processing, 62(14):3654–3666, 2014
- M. Storath, A. Weinmann, M. Unser. Unsupervised texture segmentation using monogenic curvelets and the Potts model. ICIP 2014, 4348–4352
- A. Weinmann. Interpolatory multiscale representation for functions between manifolds. SIAM Journal on Mathematical Analysis, 44(1):162–191, 2012
- A. Weinmann. Subdivision schemes with general dilation in the geometric and nonlinear setting. Journal of Approximation Theory, 164(1):105–137, 2012
- J. Wallner, E. Nava Yazdani, A. Weinmann. Convergence and smoothness analysis of subdivision rules in Riemannian and symmetric spaces. Advances in Computational Mathematics, 34(2):201–218, 2011
- A. Weinmann, R. Lasser. Lipschitz spaces with respect to Jacobi translation. Mathematische Nachrichten, 284(17–18):2312–2326, 2011
- A. Weinmann. Nonlinear subdivision schemes on irregular meshes. Constructive Approximation, 31(3):395–415, 2010
- A. Weinmann. Analysis of nonlinear geometric subdivision schemes on polyhedral meshes. PhD thesis, Graz University of Technology, 2010
Open-Source-Software
MPISuperRes-PnP: Super-Resolution-Rekonstruktion für Magnetic Particle Imaging mit einem Zero-Shot-Plug-and-Play-Ansatz (mit V. Gapyak und T. März)
Pottslab: Mehrklassen-Bildsegmentierung für Grau-, Farb- und Mehrkanalbilder mit dem Potts-Modell (mit M. Storath)
CircleMedianFilter: Schneller Medianfilter für kreiswertige Daten wie Phasen- oder Orientierungsbilder (mit M. Storath)
L1TV: Entrauschen und Rekonstruktion stückweise konstanter Signale mit dem L1-TV-Modell (mit M. Storath)
MumfordShah2D: Kantenerhaltende Glättung auf Basis des Mumford-Shah-Modells (mit M. Storath)
PALMS: Parallele Bildzerlegung mit dem stückweise affin-linearen Mumford-Shah-Modell, als Online-Demo (mit L. Kiefer und M. Storath)
Career
Since 2025: Research professorship “Algorithmics in AI”, Technical University of Applied Sciences Würzburg-Schweinfurt (THWS)
2018: Habilitation, Osnabrück University: “Variational Methods for the Reconstruction of Signals with Discontinuities”
2015–2025: Professor of Mathematics and Image Processing, Darmstadt University of Applied Sciences; established the research group Algorithms for Computer Vision, Imaging and Data Analysis
2011–2016: Researcher at Helmholtz Zentrum München and the Technical University of Munich
2010: Doctorate (Dr. rer. nat.), Graz University of Technology: “Analysis of nonlinear geometric subdivision schemes on polyhedral meshes”
2007–2011: University assistant at the Institute of Geometry, Graz University of Technology
2007: Technical Risk Management, Siemens Corporate Technology, Munich
2006: Diploma in Mathematics with a minor in Computer Science, Technical University of Munich
Additional Information
Further information
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