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Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.

Z. Xu, C. Lee, M. Heinrich, M. Modat, D. Rueckert, S. Ourselin, R. Abramson, and B. Landman. IEEE Trans. Biomed. Eng., 63 (8): 1563-1572 (2016)

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Xu Xu

Xianxiang Xu

Imaging findings of cerebral schistosomiasis in ChinaX. Xu. Uni Hamburg, (2010)

Yan Xu

Untersuchungen zur Verleimung von Holz und Holzspanplatten mit UF-Leimharzen und PMDIY. Xu. TU Braunschweig, (2009)

Jianyong Xu

Other publications of authors with the same name

Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation.Y. Huo, J. Liu, Z. Xu, R. Harrigan, A. Assad, R. Abramson, and B. Landman. IEEE Trans. Biomed. Eng., 65 (2): 336-343 (2018)Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks.Y. Huo, Z. Xu, S. Bao, C. Bermudez, A. Plassard, J. Liu, Y. Yao, A. Assad, R. Abramson, and B. Landman. CoRR, (2017)Adversarial synthesis learning enables segmentation without target modality ground truth.Y. Huo, Z. Xu, S. Bao, A. Assad, R. Abramson, and B. Landman. ISBI, page 1217-1220. IEEE, (2018)Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy.R. Gao, B. Lou, Z. Xu, D. Comaniciu, and A. Kamen. CVPR, page 715-725. IEEE, (2023)COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation.H. Liu, H. Li, X. Yao, Y. Fan, D. Hu, B. Dawant, V. Nath, Z. Xu, and I. Oguz. MICCAI (2), volume 14221 of Lecture Notes in Computer Science, page 25-34. Springer, (2023)Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks.Y. Huo, Z. Xu, S. Bao, C. Bermudez, A. Plassard, J. Liu, Y. Yao, A. Assad, R. Abramson, and B. Landman. Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 1057409. SPIE, (2018)SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth.Y. Huo, Z. Xu, H. Moon, S. Bao, A. Assad, T. Moyo, M. Savona, R. Abramson, and B. Landman. CoRR, (2018)Whole abdominal wall segmentation using Augmented Active Shape Models (AASM) with multi-atlas label fusion and level set.Z. Xu, R. Baucom, R. Abramson, B. Poulose, and B. Landman. Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97840U. SPIE, (2016)Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly.Y. Huo, J. Liu, Z. Xu, R. Harrigan, A. Assad, R. Abramson, and B. Landman. Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101330A. SPIE, (2017)Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.Y. Huo, Z. Xu, S. Bao, C. Bermudez, H. Moon, P. Parvathaneni, T. Moyo, M. Savona, A. Assad, R. Abramson and 1 other author(s). IEEE Trans. Medical Imaging, 38 (5): 1185-1196 (2019)

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Disambiguation of "Xu, Zhoubing"

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Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.

Please choose a person to relate this publication to

Xu Xu

Xu Xu

Xianxiang Xu

Yan Xu

Jianyong Xu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Xu, Zhoubing"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.

Please choose a person to relate this publication to

Xu Xu

Xu Xu

Xianxiang Xu

Yan Xu

Jianyong Xu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.