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Synthesising Images and Labels Between MR Sequence Types with CycleGAN.

E. Kerfoot, E. Puyol-Antón, B. Ruijsink, R. Ariga, E. Zacur, P. Lamata, and J. Schnabel. DART/MIL3ID@MICCAI, volume 11795 of Lecture Notes in Computer Science, page 45-53. Springer, (2019)

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A. Laukemann

Nadine Schnabel University of Stuttgart

Benjamin Schnabel University of Stuttgart

A. Laukemann

A. Laukemann

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An evaluation of four automatic methods of segmenting the subcortical structures in the brain.K. Babalola, B. Patenaude, P. Aljabar, J. Schnabel, D. Kennedy, W. Crum, S. Smith, T. Cootes, M. Jenkinson, and D. Rueckert. NeuroImage, 47 (4): 1435-1447 (2009)Registration of 3D fetal neurosonography and MRI.M. Kuklisova-Murgasova, A. Cifor, R. Napolitano, A. Papageorghiou, G. Quaghebeur, M. Rutherford, J. Hajnal, J. Noble, and J. Schnabel. Medical Image Analysis, 17 (8): 1137-1150 (2013)Patch-based lung ventilation estimation using multi-layer supervoxels.A. Szmul, T. Matin, F. Gleeson, J. Schnabel, V. Grau, and B. Papiez. Comp. Med. Imag. and Graph., (2019)pCT derived arterial input function for improved pharmacokinetic analysis of longitudinal dceMRI for colorectal cancer.M. Enescu, M. Bhushan, E. Hill, J. Franklin, E. Anderson, R. Sharma, and J. Schnabel. Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86690L. SPIE, (2013)Overlap invariance of cumulative residual entropy measures for multimodal image alignment.N. Cahill, J. Schnabel, J. Noble, and D. Hawkes. Medical Imaging: Image Processing, volume 7259 of SPIE Proceedings, page 72590I. SPIE, (2009)Piecewise-diffeomorphic registration of 3D CT/MR pulmonary images with sliding conditions.L. Risser, M. Heinrich, T. Matin, and J. Schnabel. ISBI, page 1351-1354. IEEE, (2012)Revisiting overlap invariance in medical image alignment.N. Cahill, J. Schnabel, J. Noble, and D. Hawkes. CVPR Workshops, page 1-8. IEEE Computer Society, (2008)Breast Image Registration by Combining Finite Elements and Free-Form Deformations.A. Lee, J. Schnabel, V. Rajagopal, P. Nielsen, and M. Nash. Digital Mammography / IWDM, volume 6136 of Lecture Notes in Computer Science, page 736-743. Springer, (2010)On the Usage of GPUs for Efficient Motion Estimation in Medical Image Sequences.J. Thiyagalingam, D. Goodman, J. Schnabel, A. Trefethen, and V. Grau. Int. J. Biomedical Imaging, (2011)Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks.R. Bates, B. Irving, B. Markelc, J. Kaeppler, R. Muschel, V. Grau, and J. Schnabel. CoRR, (2017)