Peter Maaß

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 9

Top Topics

Tumor Classification

Weakly Supervised

Image Reconstruction

Top Venues

Publications

Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß
Smooth Deep Saliency. CoRR (2024)
David Erzmann, Sören Dittmer, Henrik Harms, Peter Maaß
DL4TO : A Deep Learning Library for Sample-Efficient Topology Optimization. GSI (1) (2023)
Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maaß
How GAN Generators can Invert Networks in Real-Time. ACML (2023)
Niklas Koenen, Marvin N. Wright, Peter Maaß, Jens Behrmann
Generalization of the Change of Variables Formula with Applications to Residual Flows. CoRR (2021)
Riccardo Barbano, Johannes Leuschner, Maximilian Schmidt, Alexander Denker, Andreas Hauptmann, Peter Maaß, Bangti Jin
Is Deep Image Prior in Need of a Good Education? CoRR (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 (BCC). CoRR (2021)
Johannes Leuschner, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods. CoRR (2019)
Jens Behrmann, Christian Etmann, Tobias Boskamp, Rita Casadonte, Jörg Kriegsmann, Peter Maaß
Deep learning for tumor classification in imaging mass spectrometry. Bioinform. 34 (7) (2018)
Jens Behrmann, Sören Dittmer, Pascal Fernsel, Peter Maaß
Analysis of Invariance and Robustness via Invertibility of ReLU-Networks. CoRR (2018)
Wentai Zhang, Li Shen, Thomas Page, Guojie Luo, Peng Li, Peter Maaß, Ming Jiang, Jason Cong
FPGA Acceleration for Simultaneous Image Reconstruction and Segmentation based on the Mumford-Shah Regularization (Abstract Only). FPGA (2015)
Peter Maaß, Sergei V. Pereverzev, Ronny Ramlau, Sergei G. Solodky
An adaptive discretization for Tikhonov-Phillips regularization with a posteriori parameter selection. Numerische Mathematik 87 (3) (2001)