Nick Heilenkötter

Research Associate

PhD Student Research Training Group π³
Team Deep Learning and Inverse Problems

Bibliothekstraße 5
28359 Bremen

Office: MZH 2170
Phone: +49 0421 218-63815
E-Mail: nick7@uni-bremen.de

Deep Learning
Inverse Problems
Deep Learning for Partial differential equations

TorchPhysics
Research Training Group π³ - Parameter Identification - Analysis, Algorithms, Implementations

Article

J. Le’Clerc Arrastia, N. Heilenkötter, D. Otero Baguer, L. Hauberg-Lotte, T. Boskamp, S. Hetzer, N. Duschner, J. Schaller, P. Maass.
Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma.
Journal of Imaging. 2021; 7(4):71.
DOI: 10.3390/jimaging7040071

Preprints

Derick Nganyu Tanyu, Jianfeng Ning, Tom Freudenberg, Nick Heilenkötter, Andreas Rademacher, Uwe Iben, Peter Maass
Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems

arxiv.org/abs/2212.03130

DOI: 10.48550/arXiv.2212.03130

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Nick Heilenkötter