Daniel Otero Baguer

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Semantic Segmentation

Regularization Methods

Top Venues

J. Math. Imaging Vis.

Publications

Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß
Smooth Deep Saliency. CoRR (2024)
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)
Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maaß
How GAN Generators can Invert Networks in Real-Time. ACML (2023)
José Carlos Gutiérrez Menéndez, Daniel Otero Baguer, Peter Maass
StainCUT: Stain Normalization with Contrastive Learning. J. Imaging 8 (7) (2022)
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)
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)
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)
Daniel Otero Baguer, Johannes Leuschner, Maximilian Schmidt
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods. CoRR (2020)
Sören Dittmer, Tobias Kluth, Daniel Otero Baguer, Peter Maass
A Deep Prior Approach to Magnetic Particle Imaging. MLMIR@MICCAI (2020)
Johannes Leuschner, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods. CoRR (2019)
Sören Dittmer, Tobias Kluth, Peter Maass, Daniel Otero Baguer
Regularization by architecture: A deep prior approach for inverse problems. CoRR (2018)