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Magnetic Resonance Imaging
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Volume 64
Pages 1-200 (December 2019)
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1. Editorial Board
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2. AI in MRI: A case for grassroots deep learning
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Kurt G. Schilling, Bennett A. Landman.
3. Differentiation of spinal metastases originated from lung and other cancers using radiomics and deep learning based on DCE-MRI
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Tác giả
Ning Lang, Yang Zhang, Enlong Zhang, Jiahui Zhang, Min-Ying Su.
4. Synthesizing T1 weighted MPRAGE image from multi echo GRE images via deep neural network
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Kanghyun Ryu, Na-Young Shin, Dong-Hyun Kim, Yoonho Nam.
5. Open-source pipeline for multi-class segmentation of the spinal cord with deep learning
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François Paugam, Jennifer Lefeuvre, Christian S. Perone, Charley Gros, Julien Cohen-Adad.
6. Automated and accurate quantification of subcutaneous and visceral adipose tissue from magnetic resonance imaging based on machine learning
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Ning Shen, Xueyan Li, Shuang Zheng, Lei Zhang, Huimao Zhang.
7. Tractography and machine learning: Current state and open challenges
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Philippe Poulin, Daniel Jörgens, Pierre-Marc Jodoin, Maxime Descoteaux.
8. Precision diagnostics based on machine learning-derived imaging signatures
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Christos Davatzikos, Aristeidis Sotiras, Yong Fan, Mohamad Habes, Despina Kontos.
9. Synthesized b0 for diffusion distortion correction (Synb0-DisCo)
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Kurt G. Schilling, Justin Blaber, Yuankai Huo, Allen Newton, Bennett A. Landman.
10. Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa
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Tác giả
Valeria Romeo, Carlo Ricciardi, Renato Cuocolo, Arnaldo Stanzione, Simone Maurea.
11. Automatic brain tissue segmentation in fetal MRI using convolutional neural networks
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N. Khalili, N. Lessmann, E. Turk, N. Claessens, I. Išgum.
12. Dual-domain convolutional neural networks for improving structural information in 3 T MRI
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Yongqin Zhang, Pew-Thian Yap, Liangqiong Qu, Jie-Zhi Cheng, Dinggang Shen.
13. Machine learning in resting-state fMRI analysis
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Meenakshi Khosla, Keith Jamison, Gia H. Ngo, Amy Kuceyeski, Mert R. Sabuncu.
14. Registration uncertainty quantification via low-dimensional characterization of geometric deformations
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Jian Wang, William M. Wells, Polina Golland, Miaomiao Zhang.
15. Applications of a deep learning method for anti-aliasing and super-resolution in MRI
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Can Zhao, Muhan Shao, Aaron Carass, Hao Li, Jerry L. Prince.
16. Learning image-based spatial transformations via convolutional neural networks: A review
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Nicholas J. Tustison, Brian B. Avants, James C. Gee.
17. Denoising of MR images with Rician noise using a wider neural network and noise range division
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Xuexiao You, Ning Cao, Hao Lu, Minghe Mao, Wei Wanga.
18. DeepHarmony: A deep learning approach to contrast harmonization across scanner changes
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Blake E. Dewey, Can Zhao, Jacob C. Reinhold, Aaron Carass, Jerry L. Prince.
19. Role of deep learning in infant brain MRI analysis
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Mahmoud Mostapha, Martin Styner.
20. Using deep Siamese neural networks for detection of brain asymmetries associated with Alzheimer's Disease and Mild Cognitive Impairment
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Chin-Fu Liu, Shreyas Padhy, Sandhya Ramachandran, Victor X. Wang, Michael I. Miller.
