Super-Resolution of 3D Brain MRI with Filter Learning Using Tensor Feature Clustering

IEEE Access ◽

10.1109/access.2022.3140810 ◽

2022 ◽

pp. 1-1

Author(s):

Seongsu Park ◽

Jin Kyu Gahm

Keyword(s):

Brain Mri ◽

Super Resolution ◽

Feature Clustering

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Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) ◽

10.1109/isbi.2019.8759255 ◽

2019 ◽

Author(s):

C.-H. Pham ◽

C. Tor-Diez ◽

H. Meunier ◽

N. Bednarek ◽

R. Fablet ◽

...

Keyword(s):

Brain Mri ◽

Super Resolution ◽

Neonatal Brain ◽

Generative Adversarial Network ◽

Adversarial Network ◽

Network Application

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DeepVolume: Brain Structure and Spatial Connection-Aware Network for Brain MRI Super-Resolution

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2019.2933633 ◽

2019 ◽

pp. 1-14 ◽

Author(s):

Zeju Li ◽

Jinhua Yu ◽

Yuanyuan Wang ◽

Hanzhang Zhou ◽

Haowei Yang ◽

...

Keyword(s):

Brain Structure ◽

Brain Mri ◽

Super Resolution

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Sparse Bayesian framework applied to 3D super-resolution reconstruction in fetal brain MRI

10.1117/12.2073844 ◽

2015 ◽

Author(s):

Laura C. Becerra ◽

Nelson Velasco Toledo ◽

Eduardo Romero Castro

Keyword(s):

Brain Mri ◽

Fetal Brain ◽

Super Resolution ◽

Bayesian Framework

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An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization

10.1016/j.neuroimage.2015.06.018 ◽

2015 ◽

Vol 118 ◽

pp. 584-597 ◽

Author(s):

Sébastien Tourbier ◽

Xavier Bresson ◽

Patric Hagmann ◽

Jean-Philippe Thiran ◽

Reto Meuli ◽

...

Keyword(s):

Total Variation ◽

Brain Mri ◽

Fetal Brain ◽

Super Resolution ◽

Adaptive Regularization

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A supervised patch-based image reconstruction technique: Application to brain MRI super-resolution

2013 IEEE 10th International Symposium on Biomedical Imaging ◽

10.1109/isbi.2013.6556483 ◽

2013 ◽

Author(s):

Francois Rousseau ◽

Colin Studholme

Keyword(s):

Image Reconstruction ◽

Brain Mri ◽

Super Resolution ◽

Reconstruction Technique ◽

Image Reconstruction Technique

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Lorentzian Norm based Super-resolution Reconstruction of Brain MRI Image

ICST Transactions on Ambient Systems ◽

10.4108/eai.19-12-2017.153485 ◽

2017 ◽

Vol 4 (16) ◽

pp. 153485

Author(s):

Dongxing Bao ◽

Xiaoming Li ◽

Jin Li

Keyword(s):

Brain Mri ◽

Super Resolution ◽

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Adjacent slices feature transformer network for single anisotropic 3D brain MRI image super-resolution

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.103339 ◽

2022 ◽

Vol 72 ◽

pp. 103339

Author(s):

Lulu Wang ◽

Huazheng Zhu ◽

Zhongshi He ◽

Yuanyuan Jia ◽

Jinglong Du

Keyword(s):

Brain Mri ◽

Super Resolution ◽

Image Super Resolution ◽

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On Super-Resolution for Fetal Brain MRI

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15745-5_44 ◽

2010 ◽

pp. 355-362 ◽

Author(s):

F. Rousseau ◽

K. Kim ◽

C. Studholme ◽

M. Koob ◽

J. -L. Dietemann

Keyword(s):

Brain Mri ◽

Fetal Brain ◽

Super Resolution

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Enhanced generative adversarial network for 3D brain MRI super-resolution

2020 IEEE Winter Conference on Applications of Computer Vision (WACV) ◽

10.1109/wacv45572.2020.9093603 ◽

2020 ◽

Author(s):

Jiancong Wang ◽

Yuhua Chen ◽

Yifan Wu ◽

Jianbo Shi ◽

James Gee

Keyword(s):

Brain Mri ◽

Super Resolution ◽

Generative Adversarial Network ◽

Adversarial Network

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Super-Resolution of Brain MRI Images Using Overcomplete Dictionaries and Nonlocal Similarity

IEEE Access ◽

10.1109/access.2019.2900125 ◽

2019 ◽

Vol 7 ◽

pp. 25897-25907 ◽

Author(s):

Yinghua Li ◽

Bin Song ◽

Jie Guo ◽

Xiaojiang Du ◽

Mohsen Guizani

Keyword(s):

Brain Mri ◽

Super Resolution ◽

Nonlocal Similarity

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