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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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René Heusler University of Stuttgart

Moritz René Schäfer University of Stuttgart

Rene Rehwagen University of Stuttgart

Dr. -Ing. Rene Laufer University of Stuttgart

Rene Nagel University of Stuttgart

Other publications of authors with the same name

Advanced Respiratory Motion Compensation for Coronary MR Angiography.M. Henningsson, and R. Botnar. Sensors, 13 (6): 6882-6899 (2013)Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction.I. Öksüz, J. Clough, A. Bustin, G. Cruz, C. Prieto, R. Botnar, D. Rueckert, J. Schnabel, and A. King. MLMIR@MICCAI, volume 11074 of Lecture Notes in Computer Science, page 21-29. Springer, (2018)An Integrated Software Application for Non-invasive Assessment of Local Aortic Haemodynamic Parameters.M. Florkow, J. Harana, A. van Engelen, T. Schneider, I. Rafiq, H. de Bliek, J. Alastruey, and R. Botnar. MIUA, volume 90 of Procedia Computer Science, page 2-8. Elsevier, (2016)Dual-phase whole-heart imaging using image navigation in congenital heart disease.D. Moyé, T. Hussain, R. Botnar, A. Tandon, G. Greil, A. Dyer, and M. Henningsson. BMC Medical Imaging, 18 (1): 36:1-36:11 (2018)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 1 other author(s). CoRR, (2018)Magnetic Resonance Fingerprinting using Recurrent Neural Networks.I. Öksüz, G. Cruz, J. Clough, A. Bustin, N. Fuin, R. Botnar, C. Prieto, A. King, and J. Schnabel. CoRR, (2018)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 1 other author(s). Medical Image Analysis, (2019)A Digital Preclinical PET/MRI Insert and Initial Results.B. Weissler, P. Gebhardt, P. Dueppenbecker, J. Wehner, D. Schug, C. Lerche, B. Goldschmidt, A. Salomon, I. Verel, E. Heijman and 5 other author(s). IEEE Trans. Med. Imaging, 34 (11): 2258-2270 (2015)A Self-Normalization Reconstruction Technique for PET Scans Using the Positron Emission Data.A. Salomon, B. Goldschmidt, R. Botnar, F. Kiessling, and V. Schulz. IEEE Trans. Med. Imaging, 31 (12): 2234-2240 (2012)Evaluating Classifiers for Atherosclerotic Plaque Component Segmentation in MRI.A. van Engelen, M. de Bruijne, T. Schneider, A. van Dijk, M. Kooi, J. Hendrikse, A. Nederveen, W. Niessen, and R. Botnar. MIUA, volume 723 of Communications in Computer and Information Science, page 156-168. Springer, (2017)

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Disambiguation of "Botnar, René M."

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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

René Heusler University of Stuttgart

Moritz René Schäfer University of Stuttgart

Rene Rehwagen University of Stuttgart

Dr. -Ing. Rene Laufer University of Stuttgart

Rene Nagel University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Botnar, René M."

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

René Heusler University of Stuttgart

Moritz René Schäfer University of Stuttgart

Rene Rehwagen University of Stuttgart

Dr. -Ing. Rene Laufer University of Stuttgart

Rene Nagel University of Stuttgart

Other publications of authors with the same name

Disambiguation

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