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Spinal Stenosis Grading in Magnetic Resonance Imaging Using Deep Convolutional Neural Networks
Spine
◽
10.1097/brs.0000000000003377
◽
2020
◽
Vol 45
(12)
◽
pp. 804-812
◽
Cited By ~ 1
Author(s):
Dongkyu Won
◽
Hyun-Joo Lee
◽
Suk-Joong Lee
◽
Sang Hyun Park
Keyword(s):
Magnetic Resonance Imaging
◽
Neural Networks
◽
Magnetic Resonance
◽
Spinal Stenosis
◽
Convolutional Neural Networks
◽
Resonance Imaging
◽
Deep Convolutional Neural Networks
Download Full-text
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References
189. Spinal stenosis grading in magnetic resonance imaging using deep convolutional neural networks
The Spine Journal
◽
10.1016/j.spinee.2020.05.600
◽
2020
◽
Vol 20
(9)
◽
pp. S93-S94
Author(s):
Suk-Joong Lee
◽
Hyun-Joo Lee
Keyword(s):
Magnetic Resonance Imaging
◽
Neural Networks
◽
Magnetic Resonance
◽
Spinal Stenosis
◽
Convolutional Neural Networks
◽
Resonance Imaging
◽
Deep Convolutional Neural Networks
Download Full-text
Point of View: Spinal Stenosis Grading in Magnetic Resonance Imaging Using Deep Convolutional Neural Networks
Spine
◽
10.1097/brs.0000000000003384
◽
2020
◽
Vol 45
(12)
◽
pp. 813
Author(s):
Richard J. Herzog
Keyword(s):
Magnetic Resonance Imaging
◽
Neural Networks
◽
Magnetic Resonance
◽
Spinal Stenosis
◽
Convolutional Neural Networks
◽
Point Of View
◽
Resonance Imaging
◽
Deep Convolutional Neural Networks
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Automated Segmentation of the Right Ventricle from Magnetic Resonance Imaging Using Deep Convolutional Neural Networks
Lecture Notes in Computer Science - Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge
◽
10.1007/978-3-030-93722-5_37
◽
2022
◽
pp. 344-351
Author(s):
Kumaradevan Punithakumar
◽
Adam Carscadden
◽
Michelle Noga
Keyword(s):
Magnetic Resonance Imaging
◽
Neural Networks
◽
Magnetic Resonance
◽
Right Ventricle
◽
Convolutional Neural Networks
◽
Automated Segmentation
◽
Resonance Imaging
◽
Deep Convolutional Neural Networks
◽
The Right
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Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
Artificial Intelligence in Medicine
◽
10.1016/j.artmed.2018.08.008
◽
2019
◽
Vol 95
◽
pp. 64-81
◽
Cited By ~ 59
Author(s):
Jose Bernal
◽
Kaisar Kushibar
◽
Daniel S. Asfaw
◽
Sergi Valverde
◽
Arnau Oliver
◽
...
Keyword(s):
Magnetic Resonance Imaging
◽
Neural Networks
◽
Image Analysis
◽
Magnetic Resonance
◽
Convolutional Neural Networks
◽
Resonance Imaging
◽
Deep Convolutional Neural Networks
◽
Brain Image
◽
Brain Image Analysis
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Deep convolutional neural networks for molecular subtyping of gliomas using magnetic resonance imaging
Medical Imaging 2020: Computer-Aided Diagnosis
◽
10.1117/12.2544074
◽
2020
◽
Author(s):
Dong Wei
◽
Yiming Li
◽
Yinyan Wang
◽
Tianyi Qian
◽
Yefeng Zheng
◽
...
Keyword(s):
Magnetic Resonance Imaging
◽
Neural Networks
◽
Magnetic Resonance
◽
Convolutional Neural Networks
◽
Resonance Imaging
◽
Deep Convolutional Neural Networks
◽
Molecular Subtyping
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Editorial on “Convolutional Neural Networks for Automated Classification of Prostate Multiparametric Magnetic Resonance Imaging Based on Image Quality”
Journal of Magnetic Resonance Imaging
◽
10.1002/jmri.27913
◽
2021
◽
Author(s):
Valdair F. Muglia
◽
Antonio Carlos Westphalen
Keyword(s):
Magnetic Resonance Imaging
◽
Neural Networks
◽
Magnetic Resonance
◽
Image Quality
◽
Convolutional Neural Networks
◽
Automated Classification
◽
Resonance Imaging
◽
Multiparametric Magnetic Resonance Imaging
Download Full-text
Early Identification of Alzheimer’s Disease Using an Ensemble of 3D Convolutional Neural Networks and Magnetic Resonance Imaging
Advances in Brain Inspired Cognitive Systems - Lecture Notes in Computer Science
◽
10.1007/978-3-030-00563-4_29
◽
2018
◽
pp. 303-311
Author(s):
Yuanyuan Chen
◽
Haozhe Jia
◽
Zhaowei Huang
◽
Yong Xia
Keyword(s):
Magnetic Resonance Imaging
◽
Alzheimer’S Disease
◽
Neural Networks
◽
Alzheimer's Disease
◽
Magnetic Resonance
◽
Convolutional Neural Networks
◽
Early Identification
◽
Resonance Imaging
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Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging
Medical Physics
◽
10.1002/mp.13672
◽
2019
◽
Vol 46
(9)
◽
pp. 3788-3798
◽
Cited By ~ 14
Author(s):
Jie Fu
◽
Yingli Yang
◽
Kamal Singhrao
◽
Dan Ruan
◽
Fang‐I Chu
◽
...
Keyword(s):
Magnetic Resonance Imaging
◽
Computed Tomography
◽
Neural Networks
◽
Deep Learning
◽
Magnetic Resonance
◽
Convolutional Neural Networks
◽
Learning Approaches
◽
Resonance Imaging
◽
2D And 3D
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Dyslexia detection using 3D convolutional neural networks and functional magnetic resonance imaging
Computer Methods and Programs in Biomedicine
◽
10.1016/j.cmpb.2020.105726
◽
2020
◽
Vol 197
◽
pp. 105726
Author(s):
Sofia Zahia
◽
Begonya Garcia-Zapirain
◽
Ibone Saralegui
◽
Begoña Fernandez-Ruanova
Keyword(s):
Magnetic Resonance Imaging
◽
Neural Networks
◽
Magnetic Resonance
◽
Functional Magnetic Resonance Imaging
◽
Convolutional Neural Networks
◽
Functional Magnetic Resonance
◽
Resonance Imaging
Download Full-text
Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms
Journal of Applied Biomedicine
◽
10.1016/j.bbe.2018.10.004
◽
2019
◽
Vol 39
(1)
◽
pp. 63-74
◽
Cited By ~ 48
Author(s):
Amin Kabir Anaraki
◽
Moosa Ayati
◽
Foad Kazemi
Keyword(s):
Magnetic Resonance Imaging
◽
Neural Networks
◽
Genetic Algorithms
◽
Brain Tumor
◽
Magnetic Resonance
◽
Convolutional Neural Networks
◽
Resonance Imaging
Download Full-text
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