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Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging.

J. Jeong, Y. Lei, K. Xu, T. Liu, H. Shim, W. Curran, H. Shu, and X. Yang. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)

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Yu-Shu Kuo

Shu-Shyang Kuo

Shu-hui Wu

Yen-Twu Kuo

Ming-fong Kuo

Other publications of authors with the same name

Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging.J. Jeong, Y. Lei, K. Xu, T. Liu, H. Shim, W. Curran, H. Shu, and X. Yang. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)MRI-based synthetic CT generation using deep convolutional neural network.Y. Lei, T. Wang, Y. Liu, K. Higgins, S. Tian, T. Liu, H. Mao, H. Shim, W. Curran, H. Shu and 1 other author(s). Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109492T. SPIE, (2019)Automatic brain arteriovenous malformations segmentation on contrast CT images using combined region proposal network and V-Net.Y. Fu, Y. Lei, T. Wang, X. Jiang, W. Curran, T. Liu, H. Shu, and X. Yang. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Pseudo CT Estimation using Patch-based Joint Dictionary Learning.Y. Lei, H. Shu, S. Tian, T. Wang, T. Liu, H. Mao, H. Shim, W. Curran, and X. Yang. EMBC, page 5150-5153. IEEE, (2018)Learning-based automatic segmentation on arteriovenous malformations from contract-enhanced CT images.T. Wang, Y. Lei, G. Shafai-Erfani, X. Jiang, X. Dong, J. Zhou, T. Liu, W. Curran, X. Yang, and H. Shu. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109504D. SPIE, (2019)Brain MRI classification based on machine learning framework with auto-context model.Y. Lei, Y. Liu, T. Wang, S. Tian, X. Dong, X. Jiang, T. Liu, H. Mao, W. Curran, H. Shu and 1 other author(s). Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 109531W. SPIE, (2019)Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network.Y. Lei, S. Momin, Z. Tian, J. Roper, J. Lin, S. Kahn, H. Shu, J. Bradley, T. Liu, and X. Yang. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)Brain tumor segmentation using 3D mask R-CNN for dynamic susceptibility contrast enhanced perfusion imaging.J. Jeong, Y. Lei, H. Shu, T. Liu, L. Wang, W. Curran, H. Mao, and X. Yang. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 1131720. SPIE, (2020)

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Disambiguation of "Shu, Hui-Kuo"

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Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging.

Please choose a person to relate this publication to

Yu-Shu Kuo

Shu-Shyang Kuo

Shu-hui Wu

Yen-Twu Kuo

Ming-fong Kuo

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shu, Hui-Kuo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging.

Please choose a person to relate this publication to

Yu-Shu Kuo

Shu-Shyang Kuo

Shu-hui Wu

Yen-Twu Kuo

Ming-fong Kuo

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Chicago
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Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging.