Argument Search: Assessing Argument Relevance. - Martin Potthast; Lukas Gienapp; Florian Euchner; Nick Heilenkötter; Nico Weidmann; Henning Wachsmuth; Benno Stein 001; Matthias Hagen (SIGIR, 2019)

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)

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)

Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems. - Derick Nganyu Tanyu; Jianfeng Ning; Tom Freudenberg; Nick Heilenkötter; Andreas Rademacher; Uwe Iben; Peter Maass (CoRR, 2022)

Invertible residual networks in the context of regularization theory for linear inverse problems. - Clemens Arndt; Alexander Denker; Sören Dittmer; Nick Heilenkötter; Meira Iske; Tobias Kluth; Peter Maass; Judith Nickel (CoRR, 2023)

Bayesian view on the training of invertible residual networks for solving linear inverse problems. - Clemens Arndt; Sören Dittmer; Nick Heilenkötter; Meira Iske; Tobias Kluth; Judith Nickel (CoRR, 2023)

Equivariant Neural Networks for Indirect Measurements. - Matthias Beckmann; Nick Heilenkötter (SIAM J. Math. Data Sci., 2024)