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Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks.

Y. Zhao, S. Liao, Y. Guo, L. Zhao, Z. Yan, S. Hong, G. Hermosillo, T. Liu, X. Zhou, and Y. Zhan. MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 286-294. Springer, (2018)

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Zhan Kang

Zhan Gao

Renya Zhan

Beibei Zhan

Xiaoying Zhan

Other publications of authors with the same name

Auto-alignment of Knee MR Scout Scans through Redundant, Adaptive and Hierarchical Anatomy Detection.Y. Zhan, M. Dewan, and X. Zhou. IPMI, volume 6801 of Lecture Notes in Computer Science, page 111-122. Springer, (2011)Automatic lumbar spine measurement in CT images.Y. Mao, D. Zheng, S. Liao, Z. Peng, R. Yan, J. Liu, Z. Dong, L. Gong, X. Zhou, Y. Zhan and 1 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013446. SPIE, (2017)Increasing Efficiency of SVM by Adaptively Penalizing Outliers.Y. Zhan, and D. Shen. EMMCVPR, volume 3757 of Lecture Notes in Computer Science, page 539-551. Springer, (2005)Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF).Z. Fang, Y. Chen, M. Liu, Y. Zhan, W. Lin, and D. Shen. MLMI@MICCAI, volume 11046 of Lecture Notes in Computer Science, page 398-405. Springer, (2018)Saliency-based rotation invariant descriptor for wrist detection in whole body CT images.M. Gao, Y. Zhan, G. Valadez, Y. Shinagawa, D. Metaxas, and X. Zhou. ISBI, page 117-120. IEEE, (2014)Sparse shape composition: A new framework for shape prior modeling.S. Zhang, Y. Zhan, M. Dewan, J. Huang, D. Metaxas, and X. Zhou. CVPR, page 1025-1032. IEEE Computer Society, (2011)Brain PET Attenuation Correction without CT: An Investigation.M. Dewan, Y. Zhan, G. Hermosillo, B. Jian, and X. Zhou. PRNI, page 110-113. IEEE, (2013)Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease.G. Mu, Y. Ma, M. Han, Y. Zhan, X. Zhou, and Y. Gao. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109500X. SPIE, (2019)Identification of Water and Fat Images in Dixon MRI Using Aggregated Patch-Based Convolutional Neural Networks.L. Zhao, Y. Zhan, D. Nickel, M. Fenchel, B. Kiefer, and X. Zhou. Patch-MI@MICCAI, volume 9993 of Lecture Notes in Computer Science, page 125-132. (2016)Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans.X. Xu, Y. Wei, J. Zheng, Z. Ding, Y. Zhan, X. Zhou, Z. Xue, F. Shi, and D. Shen. ISBI, page 1-4. IEEE, (2023)

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Disambiguation of "Zhan, Yiqiang"

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Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks.

Please choose a person to relate this publication to

Zhan Kang

Zhan Gao

Renya Zhan

Beibei Zhan

Xiaoying Zhan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhan, Yiqiang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks.

Please choose a person to relate this publication to

Zhan Kang

Zhan Gao

Renya Zhan

Beibei Zhan

Xiaoying Zhan

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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Chicago
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Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks.