Hannah Dröge
Hannah Dröge
Verified email at - Homepage
Cited by
Cited by
Inverting gradients-how easy is it to break privacy in federated learning?
J Geiping, H Bauermeister, H Dröge, M Moeller
Advances in neural information processing systems 33, 16937-16947, 2020
Mitral valve segmentation using robust nonnegative matrix factorization
H Dröge, B Yuan, R Llerena, JT Yen, M Moeller, AL Bertozzi
Journal of imaging 7 (10), 213, 2021
Evaluating Adversarial Robustness of Low dose CT Recovery
K Vaishnavi Gandikota, P Chandramouli, H Droege, M Moeller
arXiv e-prints, arXiv: 2402.11557, 2024
Explorable Data Consistent CT Reconstruction.
H Dröge, Y Bahat, F Heide, M Möller
BMVC, 746, 2022
Non-Smooth Energy Dissipating Networks
H Dröge, T Möllenhoff, M Möller
2022 IEEE International Conference on Image Processing (ICIP), 3281-3285, 2022
Learning or Modelling? An Analysis of Single Image Segmentation Based on Scribble Information
H Dröge, M Moeller
2021 IEEE International Conference on Image Processing (ICIP), 2274-2278, 2021
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview
A Auras, KV Gandikota, H Droege, M Moeller
arXiv preprint arXiv:2402.12072, 2024
Kissing to Find a Match: Efficient Low-Rank Permutation Representation
H Dröge, Z Lähner, Y Bahat, O Martorell Nadal, F Heide, M Möller
Advances in Neural Information Processing Systems 36, 2024
The system can't perform the operation now. Try again later.
Articles 1–8