Cosmin I. Bercea (Preferred)
, Cosmin Ionut Bercea
, Cosmin Bercea
Cosmin I. Bercea
Technische Universität München
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@web.de
, ****@fau.de
, ****@siemens-healthineers.com
, ****@tum.de
, ****@helmholtz-muenchen.de
Personal Links
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Education & Career History
Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.
PhD student
Technische Universität München (tum.de)
2020 – Present
Research Intern
Siemens Healthineers (siemens-healthineers.com)
2017 – 2018
MS student
Friedrich-Alexander Universität Erlangen Nürnberg (fau.de)
2015 – 2018
Research Assistant
Fraunhofer IIS (fraunhofer.de)
2016 – 2017
Research Intern
Computer Vision Center, Universitat Autònoma de Barcelona (cvc.uab.es)
2016 – 2016
Undergrad student
Friedrich-Alexander Universität Erlangen Nürnberg (fau.de)
2011 – 2015
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
PhD Advisor
Julia Schnabel
****@tum.de
2021 – Present
Supervisor
Olivier Pauly
****@siemens-healthineers.com
2017 – 2018
Supervisor
Florin C. Ghesu
****@siemens-healthineers.com
2017 – 2018
Supervisor
Andreas Maier
****@fau.de
2017 – 2018
Supervisor
Christopher Mutschler
****@iis.fraunhofer.de
2013 – 2017
Supervisor
Petia Radeva
****@ub.edu
2016 – 2016
Supervisor
Mariella Dimiccoli
****@cvc.uab.es
2016 – 2016
Supervisor
Thomas Köhler
****@fau.de
2015 – 2016
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
Interpretable Machine Learning in Medical Image Analysis
2020 – Present
Deep Learning: Autonomous driving
2018 – 2020
Deep Learning: Medical Image Analysis; Semantic Segmentation
2017 – 2018
Deep Learning: Self localization for VR
2016 – 2017
Deep Learning; Ego-centric activity recognition
2016 – 2016
Image Processing; Superresolution
2015 – 2016
Complex Event Processing; Image Processing
2013 – 2015