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Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI.

L. Xiang, Y. Qiao, D. Nie, L. An, W. Lin, Q. Wang, and D. Shen. Neurocomputing, (2017)

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Bärbel Weiligmann

Arthur Weilinger

Weili Zhang

Weili Shen

Lin Lin

Other publications of authors with the same name

A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images.Y. Yuan, H. Zhu, J. Ibrahim, W. Lin, and B. Peterson. IEEE Trans. Med. Imaging, 27 (10): 1506-1514 (2008)F-TIMER: Fast Tensor Image Morphing for Elastic Registration.P. Yap, G. Wu, H. Zhu, W. Lin, and D. Shen. IEEE Trans. Med. Imaging, 29 (5): 1192-1203 (2010)Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks.S. Liu, K. Thung, W. Lin, P. Yap, and D. Shen. CoRR, (2019)MARM: Multiscale Adaptive Regression Models for Neuroimaging Data.H. Zhu, Y. Li, J. Ibrahim, W. Lin, and D. Shen. IPMI, volume 5636 of Lecture Notes in Computer Science, page 314-325. Springer, (2009)In vivo validation of the bold mechanism: A review of signal changes in gradient echo functional MRI in the presence of flow.E. Haacke, S. Lai, D. Yablonskiy, and W. Lin. Int. J. Imaging Systems and Technology, 6 (2-3): 153-163 (1995)Multivariate Varying Coefficient Models for DTI Tract Statistics.H. Zhu, M. Styner, Y. Li, L. Kong, Y. Shi, W. Lin, C. Coe, and J. Gilmore. MICCAI (1), volume 6361 of Lecture Notes in Computer Science, page 690-697. Springer, (2010)A review on neuroimaging studies of genetic and environmental influences on early brain development.W. Gao, K. Grewen, R. Knickmeyer, A. Qiu, A. Salzwedel, W. Lin, and J. Gilmore. NeuroImage, (2019)Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework.I. Rekik, G. Li, W. Lin, and D. Shen. IPMI, volume 9123 of Lecture Notes in Computer Science, page 576-587. Springer, (2015)Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing.I. Rekik, G. Li, W. Lin, and D. Shen. Medical Image Anal., (2016)Evidence for human milk as a biological system and recommendations for study design—a report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4S. Donovan, N. Aghaeepour, A. Andres, M. Azad, M. Becker, S. Carlson, K. Järvinen, W. Lin, B. Lönnerdal, C. Slupsky and 1 other author(s). The American Journal of Clinical Nutrition, (2023)

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Disambiguation of "Lin, Weili"

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Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI.

Please choose a person to relate this publication to

Bärbel Weiligmann

Arthur Weilinger

Weili Zhang

Weili Shen

Lin Lin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Lin, Weili"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI.

Please choose a person to relate this publication to

Bärbel Weiligmann

Arthur Weilinger

Weili Zhang

Weili Shen

Lin Lin

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI.