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Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy.

H. Xie, Y. Lei, T. Wang, Y. Fu, X. Tang, W. Curran, P. Patel, T. Liu, and X. Yang. Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)

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Zhendong Fu

Lei Fu

Qiang Fu

Jian Fu

Ganhua Fu

Other publications of authors with the same name

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)Deep Learning in Multi-organ Segmentation.Y. Lei, Y. Fu, T. Wang, R. Qiu, W. Curran, T. Liu, and X. Yang. CoRR, (2020)Daily cone-beam CT multi-organ segmentation for prostate adaptive radiotherapy.Y. Fu, Y. Lei, T. Wang, S. Tian, P. Patel, A. Jani, W. Curran, T. Liu, and X. Yang. Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Deformable MRI-CT liver image registration using convolutional neural network with modality independent neighborhood descriptors.Y. Fu, Y. Lei, T. Wang, J. Zhou, W. Curran, P. Patel, T. Liu, and X. Yang. Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks.Q. Zeng, Y. Fu, J. Jeong, Y. Lei, T. Wang, H. Mao, A. Jani, P. Patel, W. Curran, T. Liu and 1 other author(s). Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113132Y. SPIE, (2020)Modeling of human artery tissue with probabilistic approach.L. Xiong, C. Chui, Y. Fu, C. Teo, and Y. Li. Comput. Biol. Medicine, (2015)Deep learning-based deformable MRI-CBCT registration of male pelvic region.S. Momin, Y. Lei, T. Wang, Y. Fu, P. Patel, A. Jani, W. Curran, T. Liu, and X. Yang. Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy.H. Xie, Y. Lei, Y. Fu, T. Wang, J. Roper, J. Bradley, P. Patel, T. Liu, and X. Yang. CoRR, (2022)Abdominal CT-CBCT deformable image registration using Deep Neural Network with directional local structural similarity.Y. Fu, Y. Lei, T. Wang, J. Zhou, P. Patel, W. Curran, T. Liu, and X. Yang. Medical Imaging: Image-Guided Procedures, volume 11598 of SPIE Proceedings, SPIE, (2021)CT-MRI pelvic deformable registration via deep learning.S. Momin, Y. Lei, T. Wang, Y. Fu, P. Patel, A. Jani, W. Curran, T. Liu, and X. Yang. Medical Imaging: Image-Guided Procedures, volume 11598 of SPIE Proceedings, SPIE, (2021)

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Disambiguation of "Fu, Yabo"

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Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy.

Please choose a person to relate this publication to

Zhendong Fu

Lei Fu

Qiang Fu

Jian Fu

Ganhua Fu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Fu, Yabo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy.

Please choose a person to relate this publication to

Zhendong Fu

Lei Fu

Qiang Fu

Jian Fu

Ganhua Fu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy.