On the Foundations of Physical Unclonable Functions. - Ulrich Rührmair; Jan Sölter; Frank Sehnke (IACR Cryptol. ePrint Arch., 2009)

Policy Gradients for Cryptanalysis. - Frank Sehnke; Christian Osendorfer; Jan Sölter; Jürgen Schmidhuber; Ulrich Rührmair (ICANN (3), 2010)

Modeling Attacks on Physical Unclonable Functions. - Ulrich Rührmair; Frank Sehnke; Jan Sölter; Gideon Dror; Srinivas Devadas; Jürgen Schmidhuber (IACR Cryptol. ePrint Arch., 2010)

Power and Timing Side Channels for PUFs and their Efficient Exploitation. - Ulrich Rührmair; Xiaolin Xu 001; Jan Sölter; Ahmed Mahmoud; Farinaz Koushanfar; Wayne P. Burleson (IACR Cryptol. ePrint Arch., 2013)

PUF Modeling Attacks on Simulated and Silicon Data. - Ulrich Rührmair; Jan Sölter; Frank Sehnke; Xiaolin Xu 001; Ahmed Mahmoud; Vera Stoyanova; Gideon Dror; Jürgen Schmidhuber; Wayne P. Burleson; Srinivas Devadas (IEEE Trans. Inf. Forensics Secur., 2013)

Efficient Power and Timing Side Channels for Physical Unclonable Functions. - Ulrich Rührmair; Xiaolin Xu 001; Jan Sölter; Ahmed Mahmoud; Mehrdad Majzoobi; Farinaz Koushanfar; Wayne P. Burleson (CHES, 2014)

PUF modeling attacks: An introduction and overview. - Ulrich Rührmair; Jan Sölter (DATE, 2014)

Automatic segmentation of odor maps in the mouse olfactory bulb using regularized non-negative matrix factorization. - Jan Sölter; Jan Schumacher; Hartwig Spors; Michael Schmuker (NeuroImage, 2014)

Erratum to "Automatic segmentation of odour maps in the mouse olfactory bulb using regularized non-negative matrix factorization" [NeuroImage 98 (2014) 279-288]. - Jan Sölter; Jan Schumacher; Hartwig Spors; Michael Schmuker (NeuroImage, 2015)

On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets. - Beatriz Garcia Santa Cruz; Jan Sölter; Matías Nicolás Bossa; Andreas Dominik Husch (CoRR, 2020)

Public Covid-19 X-ray datasets and their impact on model bias - A systematic review of a significant problem. - Beatriz Garcia Santa Cruz; Matías Nicolás Bossa; Jan Sölter; Andreas Dominik Husch (Medical Image Anal., 2021)

Abstract: The Importance of Dataset Choice Lessons Learned from COVID-19 X-ray Imaging Models. - Beatriz Garcia Santa Cruz; Matías Nicolás Bossa; Jan Sölter; Frank Hertel; Andreas Husch (Bildverarbeitung für die Medizin, 2022)

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. - Holger R. Roth; Ziyue Xu 001; Carlos Tor-Díez; Ramon Sánchez-Jacob; Jonathan Zember; Jose Molto; Wenqi Li 001; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Dong Yang 005; Ahmed Harouni; et al. (Medical Image Anal., 2022)