Peter Maass

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 39

Top Topics

Image Reconstruction

Inverse Problems

Factorization Method

Negative Matrix Factorization

Top Venues

Adv. Comput. Math.

Publications

Rudolf Herdt, Louisa Kinzel, Johann Georg Maaß, Marvin Walther, Henning Fröhlich, Tim Schubert, Peter Maass, Christian Patrick Schaaf
Enhancing the analysis of murine neonatal ultrasonic vocalizations: Development, evaluation, and application of different mathematical models. CoRR (2024)
Alexander Denker, Zeljko Kereta, Imraj RD Singh, Tom Freudenberg, Tobias Kluth, Peter Maass, Simon R. Arridge
Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data. CoRR (2024)
Rudolf Herdt, Peter Maass
Visualize and Paint GAN Activations. CoRR (2024)
Imraj RD Singh, Alexander Denker, Riccardo Barbano, Zeljko Kereta, Bangti Jin, Kris Thielemans, Peter Maass, Simon R. Arridge
Score-Based Generative Models for PET Image Reconstruction. CoRR (2023)
Marco Nittscher, Michael Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass
SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction. CoRR (2023)
Derick Nganyu Tanyu, Isabel Michel, Andreas Rademacher, Jörg Kuhnert, Peter Maass
Parameter Identification by Deep Learning of a Material Model for Granular Media. CoRR (2023)
Derick Nganyu Tanyu, Jianfeng Ning, Andreas Hauptmann, Bangti Jin, Peter Maass
Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches. CoRR (2023)
Marco Nittscher, Michael Falk Lameter, Riccardo Barbano, Johannes Leuschner, Bangti Jin, Peter Maass
SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction. MIDL (2023)
Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maass
Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time. CoRR (2023)
Clemens Arndt, Alexander Denker, Sören Dittmer, Nick Heilenkötter, Meira Iske, Tobias Kluth, Peter Maass, Judith Nickel
Invertible residual networks in the context of regularization theory for linear inverse problems. CoRR (2023)
Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon Arrdige, Peter Maass, Bangti Jin, Jong Chul Ye
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems. CoRR (2023)
Derick Nganyu Tanyu, Jianfeng Ning, Tom Freudenberg, Nick Heilenkötter, Andreas Rademacher, Uwe Iben, Peter Maass
Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems. CoRR (2022)
Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maass, Bangti Jin
An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction. IEEE Trans. Computational Imaging 8 (2022)
José Carlos Gutiérrez Menéndez, Daniel Otero Baguer, Peter Maass
StainCUT: Stain Normalization with Contrastive Learning. J. Imaging 8 (7) (2022)
Sören Dittmer, David Erzmann, Henrik Harms, Peter Maass
SELTO: Sample-Efficient Learned Topology Optimization. CoRR (2022)
Fabian Altekrüger, Alexander Denker, Paul Hagemann, Johannes Hertrich, Peter Maass, Gabriele Steidl
PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization. CoRR (2022)
Pascal Fernsel, Peter Maass
Regularized Orthogonal Nonnegative Matrix Factorization and K-means Clustering. CoRR (2021)
Johannes Leuschner, Maximilian Schmidt, Poulami Somanya Ganguly, Vladyslav Andriiashen, Sophia Bethany Coban, Alexander Denker, Dominik Bauer, Amir Hadjifaradji, Kees Joost Batenburg, Peter Maass, Maureen van Eijnatten
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications. J. Imaging 7 (3) (2021)
Jean Le'Clerc Arrastia, Nick Heilenkötter, Daniel Otero Baguer, Lena Hauberg-Lotte, Tobias Boskamp, Sonja Hetzer, Nicole Duschner, Jörg Schaller, Peter Maass
Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma. J. Imaging 7 (4) (2021)
Alexander Denker, Maximilian Schmidt, Johannes Leuschner, Peter Maass
Conditional Invertible Neural Networks for Medical Imaging. J. Imaging 7 (11) (2021)
Sören Dittmer, Tobias Kluth, Peter Maass, Daniel Otero Baguer
Regularization by Architecture: A Deep Prior Approach for Inverse Problems. J. Math. Imaging Vis. 62 (3) (2020)
Sören Dittmer, Tobias Kluth, Mads Thorstein Roar Henriksen, Peter Maass
Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset. CoRR (2020)
Sören Dittmer, Carola-Bibiane Schönlieb, Peter Maass
Ground Truth Free Denoising by Optimal Transport. CoRR (2020)
Tobias Kluth, Christine Bathke, Ming Jiang, Peter Maass
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)
Matthias Beckmann, Peter Maass, Judith Nickel
Error analysis for filtered back projection reconstructions in Besov spaces. CoRR (2020)
Sören Dittmer, Tobias Kluth, Daniel Otero Baguer, Peter Maass
A Deep Prior Approach to Magnetic Particle Imaging. MLMIR@MICCAI (2020)
Sören Dittmer, Emily J. King, Peter Maass
Singular Values for ReLU Layers. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Christian Etmann, Sebastian Lunz, Peter Maass, Carola-Bibiane Schönlieb
On the Connection Between Adversarial Robustness and Saliency Map Interpretability. CoRR (2019)
Christian Etmann, Maximilian Schmidt, Jens Behrmann, Tobias Boskamp, Lena Hauberg-Lotte, Annette Peter, Rita Casadonte, Jörg Kriegsmann, Peter Maass
Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data. CoRR (2019)
Di He, Ming Jiang, Alfred K. Louis, Peter Maass, Thomas Page
Joint Bi-Modal Image Reconstruction Of Dot And Xct With An Extended Mumford-Shah Functional. ISBI (2019)
Simon R. Arridge, Peter Maass, Ozan Öktem, Carola-Bibiane Schönlieb
Solving inverse problems using data-driven models. Acta Numer. 28 (2019)
Sören Dittmer, Peter Maass
A Projectional Ansatz to Reconstruction. CoRR (2019)
Johannes Leuschner, Maximilian Schmidt, Pascal Fernsel, Delf Lachmund, Tobias Boskamp, Peter Maass
Supervised non-negative matrix factorization methods for MALDI imaging applications. Bioinform. 35 (11) (2019)
Christian Etmann, Sebastian Lunz, Peter Maass, Carola Schönlieb
On the Connection Between Adversarial Robustness and Saliency Map Interpretability. ICML (2019)
Sören Dittmer, Emily J. King, Peter Maass
Singular Values for ReLU Layers. CoRR (2018)
Pascal Fernsel, Peter Maass
A Survey on Surrogate Approaches to Non-negative Matrix Factorization. CoRR (2018)
Sören Dittmer, Tobias Kluth, Peter Maass, Daniel Otero Baguer
Regularization by architecture: A deep prior approach for inverse problems. CoRR (2018)
Jens Behrmann, Christian Etmann, Tobias Boskamp, Rita Casadonte, Jörg Kriegsmann, Peter Maass
Deep Learning for Tumor Classification in Imaging Mass Spectrometry. CoRR (2017)
Pham Quy Muoi, Dinh Nho Hào, Peter Maass, Michael Pidcock
Descent gradient methods for nonsmooth minimization problems in ill-posed problems. J. Comput. Appl. Math. 298 (2016)
Peter Maass, Chen Sagiv, Hans-Georg Stark, Bruno Torrésani
Signal representation, uncertainty principles and localization measures. Adv. Comput. Math. 40 (3) (2014)
Jan Hendrik Kobarg, Peter Maass, Janina Oetjen, Oren Tropp, Eyal Hirsch, Chen Sagiv, Mohammad Golbabaee, Pierre Vandergheynst
Numerical experiments with MALDI Imaging data. Adv. Comput. Math. 40 (3) (2014)
Peng Li, Thomas Page, Guojie Luo, Wentai Zhang, Pei Wang, Peng Zhang, Peter Maass, Ming Jiang, Jason Cong
FPGA Acceleration for Simultaneous Medical Image Reconstruction and Segmentation. FCCM (2014)
Matthias Gehre, Tobias Kluth, Antti Lipponen, Bangti Jin, Aku Seppänen, Jari P. Kaipio, Peter Maass
Sparsity reconstruction in electrical impedance tomography: An experimental evaluation. J. Comput. Appl. Math. 236 (8) (2012)
Herbert Thiele, Dennis Trede, Stefan Heldmann, Theodore Alexandrov, Bernd Fischer, Peter Maass
3D Visualisierung von Organismen. GI-Jahrestagung (2012)
Dennis Trede, Jan Hendrik Kobarg, Janina Oetjen, Herbert Thiele, Peter Maass, Theodore Alexandrov
On the Importance of Mathematical Methods for Analysis of MALDI-Imaging Mass Spectrometry Data. J. Integr. Bioinform. 9 (1) (2012)
Dennis Trede, Theodore Alexandrov, Chen Sagiv, Peter Maass
Magnification of Label Maps With a Topology-Preserving Level-Set Method. IEEE Trans. Image Process. 21 (9) (2012)
Ilya Chernyavsky, Theodore Alexandrov, Peter Maass, Sergey I. Nikolenko
A Two-Step Soft Segmentation Procedure for MALDI Imaging Mass Spectrometry Data. GCB (2012)
Thomas Bonesky, Stephan Dahlke, Peter Maass, Thorsten Raasch
Adaptive wavelet methods and sparsity reconstruction for inverse heat conduction problems. Adv. Comput. Math. 33 (4) (2010)
Kristian Bredies, Dirk A. Lorenz, Peter Maass
A generalized conditional gradient method and its connection to an iterative shrinkage method. Comput. Optim. Appl. 42 (2) (2009)
Theodore Alexandrov, Jens Decker, Bart J. A. Mertens, André M. Deelder, Rob A. E. M. Tollenaar, Peter Maass, Herbert Thiele
Biomarker discovery in MALDI-TOF serum protein profiles using discrete wavelet transformation. Bioinform. 25 (5) (2009)
Hamid Reza Karimi, Peter Maass
control design of linear parameter-varying delayed systems. Int. J. Model. Identif. Control. 4 (3) (2008)
Ludger Prünte, Peter Maass, Henning Thielemann
Condition monitoring of linear guideways using a matched wavelet approach. Signal Process. 88 (7) (2008)
Stephan Dahlke, Gitta Kutyniok, Peter Maass, Chen Sagiv, Hans-Georg Stark, Gerd Teschke
The Uncertainty Principle Associated with the Continuous Shearlet Transform. Int. J. Wavelets Multiresolution Inf. Process. 6 (2) (2008)
Kristian Bredies, Dirk A. Lorenz, Peter Maass
An Optimal Control Problem in Medical Image Processing. Systems, Control, Modeling and Optimization (2006)
Stephan Dahlke, Peter Maass, Gerd Teschke
Reconstruction of Wideband Reflectivity Densities by Wavelet Transforms. Adv. Comput. Math. 18 (2-4) (2003)
Peter Maass, Gerd Teschke, Werner Willmann, Günter Wollmann
Detection and classification of material attributes-a practical application of wavelet analysis. IEEE Trans. Signal Process. 48 (8) (2000)
Detlev Marpe, Gabi Blattermann, Jens Ricke, Peter Maass
A two-layered wavelet-based algorithm for efficient lossless and lossy image compression. IEEE Trans. Circuits Syst. Video Technol. 10 (7) (2000)
Andreas Frommer, Peter Maass
Fast CG-Based Methods for Tikhonov-Phillips Regularization. SIAM J. Sci. Comput. 20 (5) (1999)
Peter Maass, Ronny Ramlau
Wavelet-accelerated regularization methods for hyperthermia treatment planning. Int. J. Imaging Syst. Technol. 7 (3) (1996)
Alfred K. Louis, Peter Maass
Contour reconstruction in 3-D X-ray CT. IEEE Trans. Medical Imaging 12 (4) (1993)
Peter Maass, Wolfgang Treimer, U. Feye-Treimer
Tomographic methods for 2D reconstruction with the double crystal diffractometer. IMPACT Comput. Sci. Eng. 4 (3) (1992)