İ. ÖKSÜZ Et Al. , "Deep learning using K-space based data augmentation for automated cardiac MR motion artefact detection," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol.11070, pp.250, 2018
ÖKSÜZ, İ. Et Al. 2018. Deep learning using K-space based data augmentation for automated cardiac MR motion artefact detection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 250.
ÖKSÜZ, İ., Ruijsink, B., Puyol-Anton, E., Bustin, A., Cruz, G., Prieto, C., ... Rueckert, D.(2018). Deep learning using K-space based data augmentation for automated cardiac MR motion artefact detection . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp.250).
ÖKSÜZ, İlkay Et Al. "Deep learning using K-space based data augmentation for automated cardiac MR motion artefact detection," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018
ÖKSÜZ, İlkay Et Al. "Deep learning using K-space based data augmentation for automated cardiac MR motion artefact detection." Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , pp.250, 2018
ÖKSÜZ, İ. Et Al. (2018) . "Deep learning using K-space based data augmentation for automated cardiac MR motion artefact detection." Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , p.250.
@conferencepaper{conferencepaper, author={İlkay Öksüz Et Al. }, title={Deep learning using K-space based data augmentation for automated cardiac MR motion artefact detection}, congress name={Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}, city={}, country={}, year={2018}, pages={250} }