Literature DB >> 31283972

AI in MRI: A case for grassroots deep learning.

Kurt G Schilling1, Bennett A Landman2.   

Abstract

Keywords:  Data science; Machine learning; Magnetic resonance imaging; Special issue

Year:  2019        PMID： 31283972      PMCID： PMC8278255          DOI： 10.1016/j.mri.2019.07.004

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN： 0730-725X            Impact factor:   2.546


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  33 in total

1.  Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success.

Authors:  James H Thrall; Xiang Li; Quanzheng Li; Cinthia Cruz; Synho Do; Keith Dreyer; James Brink
Journal:  J Am Coll Radiol       Date:  2018-02-04       Impact factor: 5.532

Review 2.  Machine learning in resting-state fMRI analysis.

Authors:  Meenakshi Khosla; Keith Jamison; Gia H Ngo; Amy Kuceyeski; Mert R Sabuncu
Journal:  Magn Reson Imaging       Date:  2019-06-05       Impact factor: 2.546

3.  Denoising of MR images with Rician noise using a wider neural network and noise range division.

Authors:  Xuexiao You; Ning Cao; Hao Lu; Minghe Mao; Wei Wanga
Journal:  Magn Reson Imaging       Date:  2019-06-17       Impact factor: 2.546

4.  Synthesizing T1 weighted MPRAGE image from multi echo GRE images via deep neural network.

Authors:  Kanghyun Ryu; Na-Young Shin; Dong-Hyun Kim; Yoonho Nam
Journal:  Magn Reson Imaging       Date:  2019-04-04       Impact factor: 2.546

Review 5.  Natural Language Processing in Radiology: A Systematic Review.

Authors:  Ewoud Pons; Loes M M Braun; M G Myriam Hunink; Jan A Kors
Journal:  Radiology       Date:  2016-05       Impact factor: 11.105

Review 6.  Learning image-based spatial transformations via convolutional neural networks: A review.

Authors:  Nicholas J Tustison; Brian B Avants; James C Gee
Journal:  Magn Reson Imaging       Date:  2019-06-11       Impact factor: 2.546

7.  Synthesized b0 for diffusion distortion correction (Synb0-DisCo).

Authors:  Kurt G Schilling; Justin Blaber; Yuankai Huo; Allen Newton; Colin Hansen; Vishwesh Nath; Andrea T Shafer; Owen Williams; Susan M Resnick; Baxter Rogers; Adam W Anderson; Bennett A Landman
Journal:  Magn Reson Imaging       Date:  2019-05-07       Impact factor: 2.546

8.  Using deep Siamese neural networks for detection of brain asymmetries associated with Alzheimer's Disease and Mild Cognitive Impairment.

Authors:  Chin-Fu Liu; Shreyas Padhy; Sandhya Ramachandran; Victor X Wang; Andrew Efimov; Alonso Bernal; Linyuan Shi; Marc Vaillant; J Tilak Ratnanather; Andreia V Faria; Brian Caffo; Marilyn Albert; Michael I Miller
Journal:  Magn Reson Imaging       Date:  2019-07-15       Impact factor: 2.546

9.  Open-source pipeline for multi-class segmentation of the spinal cord with deep learning.

Authors:  François Paugam; Jennifer Lefeuvre; Christian S Perone; Charley Gros; Daniel S Reich; Pascal Sati; Julien Cohen-Adad
Journal:  Magn Reson Imaging       Date:  2019-04-17       Impact factor: 2.546

10.  PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.

Authors:  Joshua C Denny; Marylyn D Ritchie; Melissa A Basford; Jill M Pulley; Lisa Bastarache; Kristin Brown-Gentry; Deede Wang; Dan R Masys; Dan M Roden; Dana C Crawford
Journal:  Bioinformatics       Date:  2010-03-24       Impact factor: 6.937
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