Akshay Pai

University of Copenhagen

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Akshay Pai

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.

****@di.ku.dk
,
****@biomediq.com

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
University of Copenhagen (diku.dk)
Present
 
Postdoc
University of Copenhagen (diku.dk)
Present
 
Post Doc
University of Copenhagen ( )
2015Present
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Advisor
Mads Nielsen
****@diku.dk
Present
Coauthor
Erik Dam
****@di.ku.dk
Present
Coauthor
Mathias Perslev
****@perslev.com
2018Present
 
Coauthor
Mathias Perslev
****@alumni.ku.dk
2018Present
 
Coauthor
Rakãªt lars Lau
****@di.ku.dk
20162016
 
Coauthor
Line Kuhnel
****@di.ku.dk
20162016
 
Coauthor
Rakãªt lars Lau
****@diku.dk
20162016
 
Coauthor
Raket lars Lau
****@math.ku.dk
20162016
 
Coauthor
Stefan Sommer
****@diku.dk
20142016
 
Coauthor
Stefan Sommer
****@di.ku.dk
20142016
 
Coauthor
Stefan Sommer
****@ee.ethz.ch
20142016
 
Coauthor
Sune Darkner
****@di.ku.dk
20132016
 
Coauthor
Jon Sporring
****@di.ku.dk
20132016
 
Coauthor
Lauge Sã¸rensen
****@diku.dk
20132016
 
Coauthor
Sune Darkner
****@diku.dk
20132016
 
Coauthor
Martin Lillholm
****@biomediq.com
20132013
 

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

medical image analysis
Present
 
medical image registration
Present
 
Generative adversarial networks
Present
 
Deep learning
Present