Nick Heilenkötter
Orcid: 0000-0001-7693-8618
According to our database1,
Nick Heilenkötter
authored at least 7 papers
between 2019 and 2024.
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Bibliography
2024
2023
Bayesian view on the training of invertible residual networks for solving linear inverse problems.
CoRR, 2023
Invertible residual networks in the context of regularization theory for linear inverse problems.
CoRR, 2023
2022
Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems.
CoRR, 2022
2021
Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma.
J. Imaging, 2021
Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC).
CoRR, 2021
2019
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019