All papers authored by Georg Langs
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2024
Stanislav Motyka 
,
Paul Weiser,
Beata Bachrata ,
Lukas Hingerl ,
Bernhard Strasser ,
Gilbert Hangel ,
Eva Niess ,
Fabian Niess ,
Maxim Zaitsev ,
Simon Daniel Robinson ,
Georg Langs ,
Siegfried Trattnig ,
Wolfgang Bogner
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,
Paul Weiser,
Beata Bachrata ,
Lukas Hingerl ,
Bernhard Strasser ,
Gilbert Hangel ,
Eva Niess ,
Fabian Niess ,
Maxim Zaitsev ,
Simon Daniel Robinson ,
Georg Langs ,
Siegfried Trattnig ,
Wolfgang Bogner
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2023
Ernst Schwartz ,
Karl-Heinz Nenning,
Katja Heuer ,
Nathan Jeffery ,
Ornella C. Bertrand ,
Roberto Toro,
Gregor Kasprian,
Daniela Prayer ,
Georg Langs
,
Karl-Heinz Nenning,
Katja Heuer ,
Nathan Jeffery ,
Ornella C. Bertrand ,
Roberto Toro,
Gregor Kasprian,
Daniela Prayer ,
Georg Langs
Evolution of cortical geometry and its link to function, behaviour and ecology
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2022
Thomas Roetzer-Pejrimovsky,
Anna-Christina Moser,
Baran Atli,
Clemens Christian Vogel,
Petra A. Mercea,
Romana Prihoda,
Ellen Gelpi,
Christine Haberler,
Romana Höftberger,
Johannes A. Hainfellner,
Bernhard Baumann ,
Georg Langs ,
Adelheid Woehrer
,
Georg Langs ,
Adelheid Woehrer
The Digital Brain Tumour Atlas, an open histopathology resource
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2021
Markus Wennmann ,
Thomas Hielscher,
Laurent Kintzelé,
Bjoern H. Menze ,
Georg Langs ,
Maximilian Merz,
Sandra Sauer,
Hans-Ulrich Kauczor,
Heinz-Peter Schlemmer,
Stefan Delorme ,
Hartmut Goldschmidt ,
Niels Weinhold,
Jens Hillengass,
Marc-André Weber
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,
Thomas Hielscher,
Laurent Kintzelé,
Bjoern H. Menze ,
Georg Langs ,
Maximilian Merz,
Sandra Sauer,
Hans-Ulrich Kauczor,
Heinz-Peter Schlemmer,
Stefan Delorme ,
Hartmut Goldschmidt ,
Niels Weinhold,
Jens Hillengass,
Marc-André Weber
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2020
Lucas Fidon ,
Michael Aertsen ,
Thomas Deprest ,
Doaa Emam ,
Frédéric Guffens,
Nada Mufti ,
Esther Van Elslander,
Ernst Schwartz ,
Michael Ebner ,
Daniela Prayer ,
Gregor Kasprian ,
Anna L. David ,
Andrew Melbourne ,
Sébastien Ourselin ,
Jan Deprest
and 2 other authors
,
Michael Aertsen ,
Thomas Deprest ,
Doaa Emam ,
Frédéric Guffens,
Nada Mufti ,
Esther Van Elslander,
Ernst Schwartz ,
Michael Ebner ,
Daniela Prayer ,
Gregor Kasprian ,
Anna L. David ,
Andrew Melbourne ,
Sébastien Ourselin ,
Jan Deprest
and 2 other authors
Distributionally Robust Deep Learning using Hardness Weighted Sampling
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