Daniel Otero Baguer

PhD. student

University of Bremen

Biography

I am a PhD. student at the Center for Industrial Mathematics (ZeTeM) in the University of Bremen. I got a Diplom in Computer Science at the University of Havana in 2015. My research interests include deep learning, inverse problems and applications in medical imaging.

Interests

Deep Learning
Inverse Problems
Applied Mathematics
Medical Imaging

Education

Diplom in Computer Science, 2015
University of Havana

Experience

Course on Deep Learning for Inverse Problems

Nov 2019 – Nov 2019 Marseille

Hands-on sessions with Python and PyTorch: https://oterobaguer.github.io/marseille-course/

Accomplishments

Recent Posts

Projects

Recent & Upcoming Talks

Jul 12, 2019 12:00 AM Grenoble, France

Invited talk: Deep Prior Networks with Applications to Computed Tomography and Magnetic Particle Imaging

Mar 23, 2018 12:00 AM Hanoi, Vietnam

Contributed talk: Inverse Problems in designing new structural materials

Mar 23, 2018 12:00 AM Stockholm, Sweden

Contributed talk: Regularization by architecture: A deep prior approach for inverse problems

Recent Publications

Tobias Czotscher, Daniel Otero Baguer, Frank Vollertsen, Iwona Piotrowska-Kurczewski, Peter Maass (2019). Connection Between Shock Wave Induced Indentations And Hardness By Means Of Neural Networks. ESAFORM 2019.

Soeren Dittmer, Tobias Kluth, Peter Maass, Daniel Otero Baguer (2018). Regularization by architecture: A deep prior approach for inverse problems. arXiv.

Daniel Otero Baguer, Iwona Piotrowska-Kurczewski, Peter Maass (2018). Inverse Problems in designing new structural materials. HPSC 2018.