Martin Urschler

University of Auckland

  • Joined December 2018

Names

Martin Urschler (Preferred)

Emails

****@cfi.lbg.ac.at (Confirmed)
,
****@icg.tu-graz.ac.at (Confirmed)
,
****@icg.tugraz.at (Confirmed)
,
****@auckland.ac.nz (Confirmed)

Education & Career History

Lecturer
University of Auckland (auckland.ac.nz)
2019Present
 
Key Researcher
Ludwig Boltzmann Institute for Clinical Forensic Imaging (cfi.lbg.ac.at)
20152018
 
Postdoc
Graz University of Technology (icg.tugraz.at)
20082014
 
PhD student
Graz University of Technology (icg.tugraz.at)
20042007
 

Advisors, Relations & Conflicts

PhD Advisor, Co author
20042018
 
Coauthor
Chu Chengwen
20172017
 
Coauthor
20172017
 
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20172017
 
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20172017
 
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20172017
 
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20172017
 
Coauthor
20162017
 
Coauthor
Urko Sã¡nchez
20162017
 
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20162017
 
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20162017
 
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20162017
 
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20162017
 
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20162017
 
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20162017
 
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20162017
 
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20162017
 
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20162017
 
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20162017
 
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20162017
 
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20142017
 
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20112017
 
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20112017
 
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20112017
 
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20062017
 
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20162016
 
Coauthor
Mateos isaac Castro
20162016
 
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20162016
 
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20162016
 
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20162016
 
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20162016
 
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20162016
 
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20162016
 
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20152016
 
Coauthor
Vincent Lepetit
20152016
 
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20152016
 
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20152016
 
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20152016
 
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20142016
 
Coauthor
20132016
 
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20132016
 
Coauthor
Zoltã¡n Bã¡lint
20132016
 
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20062016
 
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20062016
 
Coauthor
20152015
 
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20152015
 
Coauthor
Samuel Schulter
20152015
 
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20152015
 
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20142014
 
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20142014
 
Coauthor
20112014
 
Coauthor
Julia Schnabel
20112014
 
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20112014
 
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20112014
 
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20112014
 
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20112014
 
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20112014
 
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20112014
 
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20112014
 
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20112014
 
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20112014
 
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20112014
 
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20112014
 
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20112014
 
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20112014
 
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20092014
 
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20122012
 
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20122012
 
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20082012
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
Coauthor
Gregoire Malandain
20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20112011
 
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20102010
 
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20102010
 
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20072010
 
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20092009
 
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20062007
 
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20062007
 
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20062006
 

Expertise

medical image analysis
20042019
 
computer vision
20042019