Hannah Dröge

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Ionizing Radiation

Image Segmentation

Top Venues

Publications

Alexander Auras, Kanchana Vaishnavi Gandikota, Hannah Dröge, Michael Moeller
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview. CoRR (2024)
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Moeller
Evaluating Adversarial Robustness of Low dose CT Recovery. CoRR (2024)
Markus Plack, Hannah Dröge, Leif Van Holland, Matthias B. Hullin
VHS: High-Resolution Iterative Stereo Matching with Visual Hull Priors. CoRR (2024)
Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell, Felix Heide, Michael Möller
Kissing to Find a Match: Efficient Low-Rank Permutation Representation. CoRR (2023)
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Möller
Evaluating Adversarial Robustness of Low dose CT Recovery. MIDL (2023)
Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, Michael Moeller
Kissing to Find a Match: Efficient Low-Rank Permutation Representation. NeurIPS (2023)
Hannah Dröge, Thomas Möllenhoff, Michael Möller
Non-Smooth Energy Dissipating Networks. ICIP (2022)
Hannah Dröge, Yuval Bahat, Felix Heide, Michael Moeller
Explorable Data Consistent CT Reconstruction. BMVC (2022)
Hannah Dröge, Baichuan Yuan, Rafael Llerena, Jesse T. Yen, Michael Möller, Andrea L. Bertozzi
Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization. J. Imaging 7 (10) (2021)
Hannah Dröge, Michael Möller
Learning or Modelling? An Analysis of Single Image Segmentation Based on Scribble Information. ICIP (2021)
Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller
Inverting Gradients - How easy is it to break privacy in federated learning? NeurIPS (2020)
Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller
Inverting Gradients - How easy is it to break privacy in federated learning? CoRR (2020)