Peter Maass
Orcid: 0000-0003-1448-8345
According to our database1,
Peter Maass
authored at least 69 papers
between 1992 and 2024.
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Bibliography
2024
Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data.
CoRR, 2024
Enhancing the analysis of murine neonatal ultrasonic vocalizations: Development, evaluation, and application of different mathematical models.
CoRR, 2024
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024
2023
Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches.
CoRR, 2023
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems.
CoRR, 2023
CoRR, 2023
Invertible residual networks in the context of regularization theory for linear inverse problems.
CoRR, 2023
Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time.
CoRR, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the Geometric Science of Information - 6th International Conference, 2023
Proceedings of the Asian Conference on Machine Learning, 2023
2022
IEEE Trans. Computational Imaging, 2022
Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems.
CoRR, 2022
CoRR, 2022
2021
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications.
J. Imaging, 2021
Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma.
J. Imaging, 2021
CoRR, 2021
Generalization of the Change of Variables Formula with Applications to Residual Flows.
CoRR, 2021
Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC).
CoRR, 2021
2020
J. Math. Imaging Vis., 2020
Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset.
CoRR, 2020
Joint super-resolution image reconstruction and parameter identification in imaging operator: Analysis of bilinear operator equations, numerical solution, and application to magnetic particle imaging.
CoRR, 2020
CoRR, 2020
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020
2019
Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data.
CoRR, 2019
CoRR, 2019
Bioinform., 2019
Joint Bi-Modal Image Reconstruction Of Dot And Xct With An Extended Mumford-Shah Functional.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Bioinform., 2018
2016
J. Comput. Appl. Math., 2016
2015
FPGA Acceleration for Simultaneous Image Reconstruction and Segmentation based on the Mumford-Shah Regularization (Abstract Only).
Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2015
2014
Adv. Comput. Math., 2014
Proceedings of the 22nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2014
2012
IEEE Trans. Image Process., 2012
On the Importance of Mathematical Methods for Analysis of MALDI-Imaging Mass Spectrometry Data.
J. Integr. Bioinform., 2012
Sparsity reconstruction in electrical impedance tomography: An experimental evaluation.
J. Comput. Appl. Math., 2012
Proceedings of the 57. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie, 42. Jahrestagung der Gesellschaft für Informatik, Was bewegt uns in der/die Zukunft?, 2012
Proceedings of the German Conference on Bioinformatics 2012, 2012
2010
Adaptive wavelet methods and sparsity reconstruction for inverse heat conduction problems.
Adv. Comput. Math., 2010
2009
A generalized conditional gradient method and its connection to an iterative shrinkage method.
Comput. Optim. Appl., 2009
Biomarker discovery in MALDI-TOF serum protein profiles using discrete wavelet transformation.
Bioinform., 2009
2008
Signal Process., 2008
Int. J. Wavelets Multiresolution Inf. Process., 2008
A convex optimisation approach to robust observer-based H<sub>∞</sub> control design of linear parameter-varying delayed systems.
Int. J. Model. Identif. Control., 2008
2006
Proceedings of the Systems, 2006
2003
Adv. Comput. Math., 2003
2001
An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection.
Numerische Mathematik, 2001
2000
Detection and classification of material attributes-a practical application of wavelet analysis.
IEEE Trans. Signal Process., 2000
A two-layered wavelet-based algorithm for efficient lossless and lossy image compression.
IEEE Trans. Circuits Syst. Video Technol., 2000
1999
SIAM J. Sci. Comput., 1999
1997
Wavelets - theory and applications.
Pure and applied mathematics, Wiley, ISBN: 978-0-471-96792-7, 1997
1996
Int. J. Imaging Syst. Technol., 1996
1994
Wavelets - Theorie und Anwendungen.
Teubner Studienbücher Mathematik, Teubner, ISBN: 978-3-519-02094-3, 1994
1993
1992
IMPACT Comput. Sci. Eng., 1992