Daniel Otero Baguer

According to our database, Daniel Otero Baguer authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Smooth Deep Saliency.

Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß

CoRR, 2024

2023

Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time.

Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maass

CoRR, 2023

How GAN Generators can Invert Networks in Real-Time.

Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maaß

Proceedings of the Asian Conference on Machine Learning, 2023

2022

StainCUT: Stain Normalization with Contrastive Learning.

José Carlos Gutiérrez Menéndez, Daniel Otero Baguer, Peter Maass

J. Imaging, 2022

2021

Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma.

Jean Le'Clerc Arrastia, Nick Heilenkötter, Daniel Otero Baguer, Lena Hauberg-Lotte, Tobias Boskamp, Sonja Hetzer, Nicole Duschner, Jörg Schaller, Peter Maass

J. Imaging, 2021

Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC).

Jean Le'Clerc Arrastia, Nick Heilenkötter, Daniel Otero Baguer, Lena Hauberg-Lotte, Tobias Boskamp, Sonja Hetzer, Nicole Duschner, Jörg Schaller, Peter Maaß

CoRR, 2021

2020

Regularization by Architecture: A Deep Prior Approach for Inverse Problems.

Sören Dittmer, Tobias Kluth, Peter Maass, Daniel Otero Baguer

J. Math. Imaging Vis., 2020

Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods.

Daniel Otero Baguer, Johannes Leuschner, Maximilian Schmidt

CoRR, 2020

A Deep Prior Approach to Magnetic Particle Imaging.

Sören Dittmer, Tobias Kluth, Daniel Otero Baguer, Peter Maass

Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

2019

The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods.

Johannes Leuschner, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß

CoRR, 2019