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Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.

I. Öksüz, B. Ruijsink, E. Puyol-Antón, J. Clough, G. Cruz, A. Bustin, C. Prieto, R. Botnar, D. Rueckert, J. Schnabel, and A. King. CoRR, (2018)

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A. Laukemann

Nadine Schnabel University of Stuttgart

Benjamin Schnabel University of Stuttgart

A. Laukemann

Other publications of authors with the same name

Complex Motion Modelling in Cancer Imaging.J. Schnabel. Bildverarbeitung für die Medizin, page 1-2. Springer, (2015)Correction of misaligned slices in multi-slice MR cardiac examinations by using slice-to-volume registration.A. Chandler, R. Pinder, T. Netsch, J. Schnabel, D. Hawkes, D. Hill, and R. Razavi. ISBI, page 474-477. IEEE, (2006)Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients.E. Puyol-Antón, B. Ruijsink, B. Gerber, M. Amzulescu, H. Langet, M. Craene, J. Schnabel, P. Piro, and A. King. IEEE Trans. Biomed. Engineering, 66 (4): 956-966 (2019)Non-parametric Discrete Registration with Convex Optimisation.M. Heinrich, B. Papiez, J. Schnabel, and H. Handels. WBIR, volume 8545 of Lecture Notes in Computer Science, page 51-61. Springer, (2014)VTK CISG Registration Toolkit: An Open Source Software Package for Affine and Nonrigid Registration of Single- and Multimodal 3D images.T. Hartkens, D. Rueckert, J. Schnabel, D. Hawkes, and D. Hill. Bildverarbeitung für die Medizin, volume 56 of CEUR Workshop Proceedings, page 409-412. Springer, (2002)Validation of Non-Rigid Image Registration sing Finite Element Methods: Application to Breast MR Images.J. Schnabel, C. Tanner, A. Castellano-Smith, A. Degenhard, M. Leach, D. Hose, D. Hill, and D. Hawkes. IEEE Trans. Med. Imaging, 22 (2): 238-247 (2003)Automatic Construction of Multiple-object Three-dimensional Statistical Shape Models: Application to Cardiac Modelling.A. Frangi, D. Rueckert, J. Schnabel, and W. Niessen. IEEE Trans. Med. Imaging, 21 (9): 1151-1166 (2002)Quantification of Small Cerebral Ventricular Volume Changes in Treated Growth Hormone Patients using Non-Rigid Registration.M. Holden, J. Schnabel, and D. Hill. IEEE Trans. Med. Imaging, 21 (10): 1292-1301 (2002)A New Validation Method for X-ray Mammogram Registration Algorithms Using a Projection Model of Breast X-ray Compression.J. Hipwell, C. Tanner, W. Crum, J. Schnabel, and D. Hawkes. IEEE Trans. Med. Imaging, 26 (9): 1190-1200 (2007)Phenomenological Model of Diffuse Global and Regional Atrophy Using Finite-Element Methods.O. Camara, M. Schweiger, R. Scahill, W. Crum, B. Sneller, J. Schnabel, G. Ridgway, D. Cash, D. Hill, and N. Fox. IEEE Trans. Med. Imaging, 25 (11): 1417-1430 (2006)

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Disambiguation of "Schnabel, Julia A."

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Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.

Please choose a person to relate this publication to

A. Laukemann

Nadine Schnabel University of Stuttgart

Benjamin Schnabel University of Stuttgart

A. Laukemann

A. Laukemann

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Schnabel, Julia A."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.

Please choose a person to relate this publication to

A. Laukemann

Nadine Schnabel University of Stuttgart

Benjamin Schnabel University of Stuttgart

A. Laukemann

A. Laukemann

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.