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Stefan Bauer

Helmholtz Zentrum München(DE)

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213

Papers

13.6K

Citations

36

h-index

78

i10-index

Stefan Bauer is an academic researcher from Helmholtz Zentrum München. The author has contributed to research in topics: Generative Adversarial Networks and Image Synthesis & Medical Image Segmentation Techniques & Adversarial Robustness in Machine Learning. The author has an h-index of 36, co-authored 182 publications.

ORCID: 0000-0003-1712-060X

Research Topics

Generative Adversarial Networks and Image Synthesis Medical Image Segmentation Techniques Adversarial Robustness in Machine Learning Domain Adaptation and Few-Shot Learning Gaussian Processes and Bayesian Inference

Papers by this author

works

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

2014 · IEEE Transactions on Medical Imaging · 6,268 citations

https://doi.org/10.1109/tmi.2014.2377694

Bjoern Menze András Jakab Stefan Bauer Jayashree Kalpathy–Cramer

Toward Causal Representation Learning

2021 · Proceedings of the IEEE · 953 citations

https://doi.org/10.1109/jproc.2021.3058954

Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke

Prevention is better than cure! Designing information security awareness programs to overcome users' non-compliance with information security policies in banks

2017 · Computers & Security · 118 citations

https://doi.org/10.1016/j.cose.2017.04.009

Stefan Bauer Edward Bernroider Katharina Chudzikowski

Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry

2016 · Scientific Reports · 111 citations

https://doi.org/10.1038/srep23376

Raphael Meier Urspeter Knecht Tina Loosli Stefan Bauer

Clinical Predictive Models for COVID-19: Systematic Study

2020 · Journal of Medical Internet Research · 105 citations

https://doi.org/10.2196/21439

Patrick Schwab August DuMont Schütte Benedikt Dietz Stefan Bauer

Rapid and reversible control of human metabolism by individual sleep states

2021 · Cell Reports · 52 citations

https://doi.org/10.1016/j.celrep.2021.109903

Nora Nowak Thomas Gaisl Djordje Miladinovic Ričards Marcinkevičs

Research topics

topics

Generative Adversarial Networks and Image Synthesis

Medical Image Segmentation Techniques

Adversarial Robustness in Machine Learning

Domain Adaptation and Few-Shot Learning

Gaussian Processes and Bayesian Inference

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