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Home > Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part III > Optimal Experimental Design for Biophysical Modelling in Multidimensional Diffusion MRI
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part III |
Dinggang Shen; Tianming Liu; Terry M. Peters; Lawrence H. Staib; Caroline Essert; Sean Zhou; Pew-Thian Yap; Ali Khan
Springer International Publishing
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part III
Optimal Experimental Design for Biophysical Modelling in Multidimensional Diffusion MRI
Authors

Santiago Coelho; Jose M. Pozo; Sune N. Jespersen; Alejandro F. Frangi

ARI Id

1665217427650_5409372

Access

Not Available Free

Pages

617-625

DOI

10.1007/978-3-030-32248-9_69

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-32248-9_69

Table of Contents of Book
Showing 1 to 20 of 105 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xxxviii
Front Matter
1-1
Isotropic MRI Super-Resolution Reconstruction with Multi-scale Gradient Field Prior
Yao Sui; Onur Afacan; Ali Gholipour; Simon K. Warfield
3-11
A Two-Stage Multi-loss Super-Resolution Network for Arterial Spin Labeling Magnetic Resonance Imaging
Zheng Li; Qingping Liu; Yiran Li; Qiu Ge; Yuanqi Shang; Donghui Song et al.
12-20
Model Learning: Primal Dual Networks for Fast MR Imaging
Jing Cheng; Haifeng Wang; Leslie Ying; Dong Liang
21-29
Model-Based Convolutional De-Aliasing Network Learning for Parallel MR Imaging
Yanxia Chen; Taohui Xiao; Cheng Li; Qiegen Liu; Shanshan Wang
30-38
Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework
Viswanath P. Sudarshan; Kratika Gupta; Gary Egan; Zhaolin Chen; Suyash P. Awate
39-47
Deep Learning Based Framework for Direct Reconstruction of PET Images
Zhiyuan Liu; Huai Chen; Huafeng Liu
48-56
Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction
Jo Schlemper; Seyed Sadegh Mohseni Salehi; Prantik Kundu; Carole Lazarus; Hadrien Dyvorne; Daniel Rueckert et al.
57-64
Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization
Kai Xuan; Dongming Wei; Dijia Wu; Zhong Xue; Yiqiang Zhan; Weiwu Yao et al.
65-73
Single Image Based Reconstruction of High Field-Like MR Images
Prabhjot Kaur; Anil Kumar Sao
74-82
Deep Gated Convolutional Neural Network for QSM Background Field Removal
Juan Liu; Kevin M. Koch
83-91
RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting
Elisabeth Hoppe; Florian Thamm; Gregor Körzdörfer; Christopher Syben; Franziska Schirrmacher; Mathias Nittka et al.
92-100
RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting
Zhenghan Fang; Yong Chen; Dong Nie; Weili Lin; Dinggang Shen
101-109
GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions
Pan Liu; Chao Li; Carola-Bibiane Schönlieb
110-117
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks
Gihyun Kwon; Chihye Han; Dae-shik Kim
118-126
Semi-supervised VAE-GAN for Out-of-Sample Detection Applied to MRI Quality Control
Mahmoud Mostapha; Juan Prieto; Veronica Murphy; Jessica Girault; Mark Foster; Ashley Rumple et al.
127-136
Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages
Yongsheng Pan; Mingxia Liu; Chunfeng Lian; Yong Xia; Dinggang Shen
137-145
Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map
Muhammad Febrian Rachmadi; Maria del C. Valdés-Hernández; Stephen Makin; Joanna M. Wardlaw; Taku Komura
146-154
CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading
Pu Huang; Dengwang Li; Zhicheng Jiao; Dongming Wei; Guoshi Li; Qian Wang et al.
155-163
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 105 entries
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