Daniel Otero Baguer

12 papers C 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Concept Based Explanations and Class Contrasting. CoRR Rudolf Herdt, Daniel Otero Baguer
2024	J	`jnl`	Smooth Deep Saliency. CoRR Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß
2023	C	`conf`	How GAN Generators can Invert Networks in Real-Time. ACML Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maaß
2023	J	`jnl`	Model Stitching and Visualization How GAN Generators can Invert Networks in Real-Time. CoRR Rudolf Herdt, Maximilian Schmidt, Daniel Otero Baguer, Jean Le'Clerc Arrastia, Peter Maass
2022	J	`jnl`	StainCUT: Stain Normalization with Contrastive Learning. J. Imaging José Carlos Gutiérrez Menéndez, Daniel Otero Baguer, Peter Maass
2021	J	`jnl`	Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma. J. Imaging Jean Le'Clerc Arrastia, Nick Heilenkötter, Daniel Otero Baguer, Lena Hauberg-Lotte, Tobias Boskamp, Sonja Hetzer, Nicole Duschner, Jörg Schaller, Peter Maass
2021	J	`jnl`	Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC). CoRR Jean Le'Clerc Arrastia, Nick Heilenkötter, Daniel Otero Baguer, Lena Hauberg-Lotte, Tobias Boskamp, Sonja Hetzer, Nicole Duschner, Jörg Schaller, Peter Maaß
2020	—	`conf`	A Deep Prior Approach to Magnetic Particle Imaging. MLMIR@MICCAI Sören Dittmer, Tobias Kluth, Daniel Otero Baguer, Peter Maass
2020	J	`jnl`	Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods. CoRR Daniel Otero Baguer, Johannes Leuschner, Maximilian Schmidt
2020	J	`jnl`	Regularization by Architecture: A Deep Prior Approach for Inverse Problems. J. Math. Imaging Vis. Sören Dittmer, Tobias Kluth, Peter Maass, Daniel Otero Baguer
2019	J	`jnl`	The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods. CoRR Johannes Leuschner, Maximilian Schmidt, Daniel Otero Baguer, Peter Maaß
2018	J	`jnl`	Regularization by architecture: A deep prior approach for inverse problems. CoRR Sören Dittmer, Tobias Kluth, Peter Maass, Daniel Otero Baguer