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LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images.

R. Wright, B. Khanal, A. Gómez, E. Skelton, J. Matthew, J. Hajnal, D. Rueckert, and J. Schnabel. DATRA/PIPPI@MICCAI, volume 11076 of Lecture Notes in Computer Science, page 149-159. Springer, (2018)

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A. Laukemann

Nadine Schnabel University of Stuttgart

Benjamin Schnabel University of Stuttgart

A. Laukemann

A. Laukemann

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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)Complex Motion Modelling in Cancer Imaging.J. Schnabel. Bildverarbeitung für die Medizin, page 1-2. Springer, (2015)Active shape focusing.J. Schnabel, and S. Arridge. Image Vision Comput., 17 (5-6): 419-428 (1999)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)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)Oncological image analysis.J. Brady, R. Highnam, B. Irving, and J. Schnabel. Medical Image Analysis, (2016)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)