All papers authored by Tobias Kober
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2021
Florian Schmaranzer 
,
Onur Afacan ,
Till D. Lerch,
Young-Jo Kim ,
Klaus A. Siebenrock,
Michael Ith ,
Jennifer L. Cullmann,
Tobias Kober ,
Markus Klarhoefer,
Moritz Tannast ,
Sarah D. Bixby ,
Eduardo N. Novais ,
Bernd Jung
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,
Onur Afacan ,
Till D. Lerch,
Young-Jo Kim ,
Klaus A. Siebenrock,
Michael Ith ,
Jennifer L. Cullmann,
Tobias Kober ,
Markus Klarhoefer,
Moritz Tannast ,
Sarah D. Bixby ,
Eduardo N. Novais ,
Bernd Jung
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2020
Davide Piccini ,
Robin Demesmaeker ,
John Heerfordt ,
Jérôme Yerly ,
Lorenzo Di Sopra,
Pier Giorgio Masci ,
Juerg Schwitter ,
Dimitri Van De Ville ,
Jonas Richiardi ,
Tobias Kober ,
Matthias Stuber
,
Robin Demesmaeker ,
John Heerfordt ,
Jérôme Yerly ,
Lorenzo Di Sopra,
Pier Giorgio Masci ,
Juerg Schwitter ,
Dimitri Van De Ville ,
Jonas Richiardi ,
Tobias Kober ,
Matthias Stuber
Deep Learning to Automate Reference-Free Image Quality Assessment of Whole-Heart MR Images
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Emilie Mussard ,
Tom Hilbert ,
Christoph Forman ,
Reto Meuli,
Jean‐Philippe Thiran,
Tobias Kober
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,
Tom Hilbert ,
Christoph Forman ,
Reto Meuli,
Jean‐Philippe Thiran,
Tobias Kober
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Pietro Maggi ,
Mário João Fartaria,
João Jorge,
Francesco La Rosa ,
Martina Absinta ,
Pascal Sati,
Reto Meuli,
Renaud Du Pasquier ,
Daniel S. Reich ,
Meritxell Bach Cuadra,
Cristina Granziera,
Jonas Richiardi,
Tobias Kober
,
Mário João Fartaria,
João Jorge,
Francesco La Rosa ,
Martina Absinta ,
Pascal Sati,
Reto Meuli,
Renaud Du Pasquier ,
Daniel S. Reich ,
Meritxell Bach Cuadra,
Cristina Granziera,
Jonas Richiardi,
Tobias Kober
CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis
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2016
Pavel Falkovskiy,
Daniel Brenner,
Thorsten Feiweier,
Stephan Kannengiesser,
Bénédicte Maréchal,
Tobias Kober ,
Alexis Roche,
Kaely Thostenson,
Reto Meuli ,
Denise Reyes,
Tony Stoecker,
Matt A. Bernstein ,
Jean-Philippe Thiran,
Gunnar Krueger
,
Alexis Roche,
Kaely Thostenson,
Reto Meuli ,
Denise Reyes,
Tony Stoecker,
Matt A. Bernstein ,
Jean-Philippe Thiran,
Gunnar Krueger
Comparison of accelerated T1-weighted whole-brain structural-imaging protocols
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