Active Learning for automated reference-free MR image quality assessment: descreasing the number of required training samples by reduction of intra-batch redundancy
%0 Conference Paper
%1 Liebgott2018ISMRM
%A Liebgott, Annika
%A Boborzi, Damian
%A Gatidis, Sergios
%A Schick, Fritz
%A Nikolaou, Konstantin
%A Yang, Bin
%A Küstner, Thomas
%B Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM)
%C Paris, France
%D 2018
%K iqa myown
%T Active Learning for automated reference-free MR image quality assessment: descreasing the number of required training samples by reduction of intra-batch redundancy
@inproceedings{Liebgott2018ISMRM,
added-at = {2018-02-04T22:24:16.000+0100},
address = {Paris, France},
author = {Liebgott, Annika and Boborzi, Damian and Gatidis, Sergios and Schick, Fritz and Nikolaou, Konstantin and Yang, Bin and K\"ustner, Thomas},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2fa3c20e579f662ca7a7de600abfec4ed/thomaskuestner},
booktitle = {Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM)},
interhash = {682e394fb3e8d0c6676ea4ef5b3d2231},
intrahash = {fa3c20e579f662ca7a7de600abfec4ed},
keywords = {iqa myown},
month = jun,
timestamp = {2018-02-04T21:24:16.000+0100},
title = {{Active Learning for automated reference-free MR image quality assessment: descreasing the number of required training samples by reduction of intra-batch redundancy}},
year = 2018
}
