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Establishing spatial correspondence for the analysis of images from highly deforming anatomy.

D. Hawkes, T. Mertzanidou, J. Hipwell, D. Atkinson, H. Roth, T. Hampshire, and J. McClelland. EMBC, page 3732-3735. IEEE, (2012)

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Univ. -Prof. Dr. -Ing. Holger Steeb University of Stuttgart

Dr. Holger Jakob University of Stuttgart

Holger Sauter University of Stuttgart

Dr. -Ing. Holger Röseler University of Stuttgart

Dr. Holger Dietrich University of Stuttgart

Other publications of authors with the same name

Endoluminal surface registration for CT colonography using haustral fold matching.T. Hampshire, H. Roth, E. Helbren, A. Plumb, D. Boone, G. Slabaugh, S. Halligan, and D. Hawkes. Medical Image Analysis, 17 (8): 946-958 (2013)Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks.H. Roth, M. Oda, N. Shimizu, H. Oda, Y. Hayashi, T. Kitasaka, M. Fujiwara, K. Misawa, and K. Mori. CoRR, (2017)4D CNN for semantic segmentation of cardiac volumetric sequences.A. Myronenko, D. Yang, V. Buch, D. Xu, A. Ihsani, S. Doyle, M. Michalski, N. Tenenholtz, and H. Roth. CoRR, (2019)Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method.T. Hampshire, H. Roth, D. Boone, G. Slabaugh, S. Halligan, and D. Hawkes. Abdominal Imaging, volume 7601 of Lecture Notes in Computer Science, page 1-9. Springer, (2012)Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model.T. Hampshire, H. Roth, M. Hu, D. Boone, G. Slabaugh, S. Punwani, S. Halligan, and D. Hawkes. MICCAI (1), volume 6891 of Lecture Notes in Computer Science, page 508-515. Springer, (2011)Spatial Correspondence between Prone and Supine CT Colonography Images: Creating a Reference Standard.T. Hampshire, E. Helbren, A. Plumb, H. Roth, S. Halligan, and D. Hawkes. Abdominal Imaging, volume 8198 of Lecture Notes in Computer Science, page 39-45. Springer, (2013)Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography.H. Roth, T. Hampshire, J. McClelland, M. Hu, D. Boone, G. Slabaugh, S. Halligan, and D. Hawkes. Abdominal Imaging, volume 7029 of Lecture Notes in Computer Science, page 1-7. Springer, (2011)Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks.H. Roth, M. Oda, N. Shimizu, H. Oda, Y. Hayashi, T. Kitasaka, M. Fujiwara, K. Misawa, and K. Mori. Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 105740B. SPIE, (2018)Establishing spatial correspondence for the analysis of images from highly deforming anatomy.D. Hawkes, T. Mertzanidou, J. Hipwell, D. Atkinson, H. Roth, T. Hampshire, and J. McClelland. EMBC, page 3732-3735. IEEE, (2012)Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images.A. Hatamizadeh, V. Nath, Y. Tang, D. Yang, H. Roth, and D. Xu. CoRR, (2022)

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Disambiguation of "Roth, Holger"

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Establishing spatial correspondence for the analysis of images from highly deforming anatomy.

Please choose a person to relate this publication to

Univ. -Prof. Dr. -Ing. Holger Steeb University of Stuttgart

Dr. Holger Jakob University of Stuttgart

Holger Sauter University of Stuttgart

Dr. -Ing. Holger Röseler University of Stuttgart

Dr. Holger Dietrich University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Roth, Holger"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Establishing spatial correspondence for the analysis of images from highly deforming anatomy.

Please choose a person to relate this publication to

Univ. -Prof. Dr. -Ing. Holger Steeb University of Stuttgart

Dr. Holger Jakob University of Stuttgart

Holger Sauter University of Stuttgart

Dr. -Ing. Holger Röseler University of Stuttgart

Dr. Holger Dietrich University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
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Establishing spatial correspondence for the analysis of images from highly deforming anatomy.