Oct 2024 // journal-article
Enhancing the analysis of murine neonatal ultrasonic vocalizations: Development, evaluation, and application of different mathematical models
The Journal of the Acoustical Society of America
Rudolf Herdt; Louisa Kinzel; Johann Georg Maass; Marvin Walther; Henning Fröhlich; Tim Schubert; Peter Maass; Christian Patrick Schaaf
May 2024 // journal-article
Unsupervised Deep Feature Learning for Icequake Discrimination at Neumayer Station, Antarctica
Seismological Research Letters
Louisa Kinzel; Tanja Fromm; Vera Schlindwein; Peter Maass
Jan 2024 // journal-article
Score-Based Generative Models for PET Image Reconstruction
Machine Learning for Biomedical Imaging
Imraj RD Singh; Alexander Denker; Riccardo Barbano; Željko Kereta; Bangti Jin; Kris Thielemans; Peter Maass; Simon Arridge
Dec 2023 // journal-article
Invertible residual networks in the context of regularization theory for linear inverse problems
Inverse Problems
Clemens Arndt; Alexander Denker; Sören Dittmer; Nick Heilenkötter; Meira Iske; Tobias Kluth; Peter Maass; Judith Nickel
Oct 2023 // journal-article
Deep learning methods for partial differential equations and related parameter identification problems
Inverse Problems
Derick Nganyu Tanyu; Jianfeng Ning; Tom Freudenberg; Nick Heilenkötter; Andreas Rademacher; Uwe Iben; Peter Maass
Jun 2023 // journal-article
PatchNR: learning from very few images by patch normalizing flow regularization
Inverse Problems
Fabian Altekrüger; Alexander Denker; Paul Hagemann; Johannes Hertrich; Peter Maass; Gabriele Steidl
Dec 2022 // journal-article
Multimodal Lung Cancer Subtyping Using Deep Learning Neural Networks on Whole Slide Tissue Images and MALDI MSI
Cancers
Charlotte Janßen; Tobias Boskamp; Jean Le'Clerc Arrastia; Daniel Otero Baguer; Lena Hauberg-Lotte; Mark Kriegsmann; Katharina Kriegsmann; Georg Steinbuß; Rita Casadonte; Jörg Kriegsmann; Peter Maass
Jul 2022 // journal-article
StainCUT: Stain Normalization with Contrastive Learning
Journal of Imaging
José Carlos Gutiérrez Pérez; Daniel Otero Baguer; Peter Maass
Nov 2021 // journal-article
Conditional Invertible Neural Networks for Medical Imaging
Journal of Imaging
Alexander Denker; Maximilian Schmidt; Johannes Leuschner; Peter Maass
Apr 2021 // journal-article
Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma
Journal of Imaging
Jean Le'Clerc Arrastia; Nick Heilenkötter; Daniel Otero Baguer; Lena Hauberg-Lotte; Tobias Boskamp; Sonja Hetzer; Nicole Duschner; Jörg Schaller; Peter Maass
Mar 2021 // journal-article
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications
Journal of Imaging
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
Jan 2021 // journal-article
Error analysis for filtered back projection reconstructions in Besov spaces
Inverse Problems
M Beckmann; P Maass; J Nickel
Dec 2020 // journal-article
Joint super-resolution image reconstruction and parameter identification in imaging operator: analysis of bilinear operator equations, numerical solution, and application to magnetic particle imaging
Inverse Problems
Tobias Kluth; Christine Bathke; Ming Jiang; Peter Maass
Jul 2020 // conference-paper
Conditional Normalizing Flows for Low-Dose Computed Tomography Image Reconstruction
ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models
DOI:
2020 // journal-article
Mathematical aspects of catalyst positioning in lithium/air batteries
Inverse Problems
2020 // journal-article
Using the chemical noise background in MALDI mass spectrometry imaging for mass alignment and calibration
Analytical Chemistry
2020 // journal-article
Regularization by architecture: A deep prior approach for inverse problems
Journal of Mathematical Imaging and Vision
2019 // journal-article
Singular values for ReLU layers
IEEE Transactions on Neural Networks and Learning Systems
DOI:
2019 // book-chapter
Deep learning for trivial inverse problems
Compressed Sensing and its Applications
2019 // journal-article
Solving inverse problems using data-driven models
Acta Numerica
2019 // conference-paper
Connection Between Shock Wave Induced Indentations and Hardness By Means Of Neural Networks
22nd International Conference on Material Forming (ESAFORM 2019)
DOI:
2019 // conference-paper
On the Connection Between Adversarial Robustness and Saliency Map Interpretability
36th International Conference on Machine Learning
DOI:
2018 // journal-article
3D MALDI mass spectrometry imaging reveals specific localization of long-chain acylcarnitines within a 10-day time window of spinal cord injury
Scientific Reports
2018 // conference-paper
Improving Generalization Properties of Measured System Matrices by Using Regularized Total Least Squares Reconstruction in MPI
International Workshop on Magnetic Particle Imaging (IWMPI) - Book of Abstrcts
DOI:
2018 // conference-paper
Inverting Prediction Models in Micro Production for Process Design
5th International Conference on New Forming Technology
