Carolin Pirkl (Preferred)
Carolin Pirkl
Technical University Munich, Computer Science
Names
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Emails
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****@tum.de
, ****@gmail.com
Personal Links
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Education & Career History
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PhD student
Technical University Munich, Computer Science (tum.de)
2017 – 2020
MS student
University Hospital, University of Munich, Radiology (med.uni-muenchen.de)
2016 – 2017
MS student
University of Munich, Physics (campus.lmu.de)
2014 – 2017
Undergrad student
University of Munich, Physics (campus.lmu.de)
2011 – 2014
Advisors, Relations & Conflicts
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Coauthor
Sebastian Endt
****@tum.de
2019 – 2020
PhD Advisor
Bjoern H. Menze
****@tum.de
2017 – 2020
PhD Advisor
Marion I. Menzel
****@ge.com
2017 – 2020
Postdoc Advisor
Pedro A. Gómez
****@tum.de
2017 – 2020
Coauthor
Ilona Lipp
****@cardiff.ac.uk
2017 – 2020
Coauthor
Guido Buonincontri
****@gmail.com
2017 – 2020
Coauthor
Miguel Molina-Romero
****@tum.de
2017 – 2020
Coauthor
Anjany Sekuboyina
****@tum.de
2017 – 2020
Coauthor
Diana Waldmannstetter
****@tum.de
2017 – 2020
Coauthor
Jonathan Dannenberg
****@tu-dortmund.de
2017 – 2020
Coauthor
Alberto Merola
****@aicura-medical.com
2017 – 2020
Coauthor
Joseph R. Whittaker
****@cardiff.ac.uk
2017 – 2020
Coauthor
Valentina Tomassini
****@cardiff.ac.uk
2017 – 2020
Coauthor
Michela Tosetti
****@fsm.unipi.it
2017 – 2020
Coauthor
Derek K. Jones
****@cardiff.ac.uk
2017 – 2020
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
deep learning, CNNs, machine learning
2017 – 2020
MRI, quantitative MRI, MR image reconstruction, signal modeling, image processing
2016 – 2020