A penalized likelihood approach to magnetic resonance image reconstruction

Vera L. Bulaevskaya; Gary W. Oehlert

doi:10.1002/sim.2545

A penalized likelihood approach to magnetic resonance image reconstruction

Statistics in Medicine ◽

10.1002/sim.2545 ◽

2006 ◽

Vol 26 (2) ◽

pp. 352-374

Author(s):

Vera L. Bulaevskaya ◽

Gary W. Oehlert

Keyword(s):

Magnetic Resonance ◽

Image Reconstruction ◽

Magnetic Resonance Image ◽

Penalized Likelihood ◽

Likelihood Approach ◽

Penalized Likelihood Approach

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Deep learning in magnetic resonance image reconstruction

Journal of Medical Imaging and Radiation Oncology ◽

10.1111/1754-9485.13276 ◽

2021 ◽

Author(s):

Shekhar S Chandra ◽

Marlon Bran Lorenzana ◽

Xinwen Liu ◽

Siyu Liu ◽

Steffen Bollmann ◽

...

Keyword(s):

Deep Learning ◽

Magnetic Resonance ◽

Image Reconstruction ◽

Magnetic Resonance Image

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Penalized likelihood approach for the four-parameter kappa distribution

Journal of Applied Statistics ◽

10.1080/02664763.2021.1871592 ◽

2021 ◽

pp. 1-15

Author(s):

Nipada Papukdee ◽

Jeong-Soo Park ◽

Piyapatr Busababodhin

Keyword(s):

Penalized Likelihood ◽

Kappa Distribution ◽

Likelihood Approach ◽

Penalized Likelihood Approach

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A penalized likelihood approach to estimate within-household contact networks from egocentric data

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.1111/rssc.12011 ◽

2013 ◽

Vol 62 (4) ◽

pp. 629-648 ◽

Cited By ~ 5

Author(s):

Gail E. Potter ◽

Niel Hens

Keyword(s):

Penalized Likelihood ◽

Household Contact ◽

Contact Networks ◽

Likelihood Approach ◽

Penalized Likelihood Approach

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Hypothesis testing via a penalized-likelihood approach

Journal of the Korean Statistical Society ◽

10.1016/j.jkss.2018.11.005 ◽

2019 ◽

Vol 48 (2) ◽

pp. 265-277 ◽

Cited By ~ 1

Author(s):

Quynh Van Nong ◽

Chi Tim Ng ◽

Woojoo Lee ◽

Youngjo Lee

Keyword(s):

Hypothesis Testing ◽

Penalized Likelihood ◽

Likelihood Approach ◽

Penalized Likelihood Approach

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Magnetic resonance image reconstruction by nullspace based finite rate of innovation framework

10.1145/3490035.3490294 ◽

2021 ◽

Author(s):

P Sudhakar Reddy ◽

B S Raghavendra ◽

A V Narasimhadhan

Keyword(s):

Magnetic Resonance ◽

Image Reconstruction ◽

Magnetic Resonance Image ◽

Finite Rate ◽

Finite Rate Of Innovation

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Multi-contrast magnetic resonance image reconstruction

10.1117/12.2082136 ◽

2015 ◽

Cited By ~ 2

Author(s):

Meng Liu ◽

Yunmei Chen ◽

Hao Zhang ◽

Feng Huang

Keyword(s):

Magnetic Resonance ◽

Image Reconstruction ◽

Magnetic Resonance Image ◽

Contrast Magnetic Resonance

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Enhanced Deep-Learning-Based Magnetic Resonance Image Reconstruction by Leveraging Prior Subject-Specific Brain Imaging: Proof-of-Concept Using a Cohort of Presumed Normal Subjects

IEEE Journal of Selected Topics in Signal Processing ◽

10.1109/jstsp.2020.3001525 ◽

2020 ◽

Vol 14 (6) ◽

pp. 1126-1136

Author(s):

Roberto Souza ◽

Youssef Beauferris ◽

Wallace Loos ◽

Robert Marc Lebel ◽

Richard Frayne

Keyword(s):

Deep Learning ◽

Magnetic Resonance ◽

Image Reconstruction ◽

Brain Imaging ◽

Magnetic Resonance Image ◽

Normal Subjects ◽

Proof Of Concept ◽

Subject Specific

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IKWI-net: A cross-domain convolutional neural network for undersampled magnetic resonance image reconstruction

Magnetic Resonance Imaging ◽

10.1016/j.mri.2020.06.015 ◽

2020 ◽

Vol 73 ◽

pp. 1-10

Author(s):

Zhilun Wang ◽

Haitao Jiang ◽

Hongwei Du ◽

Jinzhang Xu ◽

Bensheng Qiu

Keyword(s):

Neural Network ◽

Magnetic Resonance ◽

Image Reconstruction ◽

Convolutional Neural Network ◽

Magnetic Resonance Image ◽

Cross Domain

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Adaptive Transform Learning and Joint Sparsity Based PLORAKS Parallel Magnetic Resonance Image Reconstruction

IEEE Access ◽

10.1109/access.2020.3039527 ◽

2020 ◽

Vol 8 ◽

pp. 212315-212326

Author(s):

Jizhong Duan ◽

Chang Liu ◽

Yu Liu ◽

Zhenhong Shang

Keyword(s):

Magnetic Resonance ◽

Image Reconstruction ◽

Magnetic Resonance Image ◽

Joint Sparsity ◽

Adaptive Transform

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Accelerating Parallel Magnetic Resonance Image Reconstruction on Graphics Processing Units Using CUDA

2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT) ◽

10.1109/infoct.2019.8710946 ◽

2019 ◽

Cited By ~ 1

Author(s):

Omair Inam ◽

Mahmood Qureshi ◽

Hamza Akram ◽

Hammad Omer ◽

Zoia Laraib

Keyword(s):

Magnetic Resonance ◽

Image Reconstruction ◽

Magnetic Resonance Image ◽

Graphics Processing Units ◽

Graphics Processing

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