Nick Heilenkötter

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Semantic Segmentation

Top Venues

SIAM J. Math. Data Sci.

Publications

Matthias Beckmann, Nick Heilenkötter
Equivariant Neural Networks for Indirect Measurements. SIAM J. Math. Data Sci. 6 (3) (2024)
Matthias Beckmann, Nick Heilenkötter
Equivariant Neural Networks for Indirect Measurements. CoRR (2023)
Clemens Arndt, Sören Dittmer, Nick Heilenkötter, Meira Iske, Tobias Kluth, Judith Nickel
Bayesian view on the training of invertible residual networks for solving linear inverse problems. CoRR (2023)
Clemens Arndt, Alexander Denker, Sören Dittmer, Nick Heilenkötter, Meira Iske, Tobias Kluth, Peter Maass, Judith Nickel
Invertible residual networks in the context of regularization theory for linear inverse problems. CoRR (2023)
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. CoRR (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)
Martin Potthast, Lukas Gienapp, Florian Euchner, Nick Heilenkötter, Nico Weidmann, Henning Wachsmuth, Benno Stein, Matthias Hagen
Argument Search: Assessing Argument Relevance. SIGIR (2019)