Deep convolutional neural networks for molecular subtyping of gliomas using magnetic resonance imaging

Neural Networks ◽

Magnetic Resonance ◽

Resonance Imaging ◽

Deep Convolutional Neural Networks ◽

Molecular Subtyping

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 ◽

Automated Segmentation of the Right Ventricle from Magnetic Resonance Imaging Using Deep Convolutional Neural Networks

10.1007/978-3-030-93722-5_37 ◽

2022 ◽

pp. 344-351

Author(s):

Kumaradevan Punithakumar ◽

Adam Carscadden ◽

Michelle Noga

Keyword(s):

Neural Networks ◽

Magnetic Resonance ◽

Right Ventricle ◽

Automated Segmentation ◽

Resonance Imaging ◽

Deep Convolutional Neural Networks ◽

The Right

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):

Neural Networks ◽

Magnetic Resonance ◽

Spinal Stenosis ◽

Deep Convolutional Neural Networks

Resonance Imaging ◽

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):

Neural Networks ◽

Magnetic Resonance ◽

Spinal Stenosis ◽

Deep Convolutional Neural Networks

Resonance Imaging ◽

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):

Neural Networks ◽

Magnetic Resonance ◽

Spinal Stenosis ◽

Deep Convolutional Neural Networks

Point Of View ◽

Resonance Imaging ◽

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):

Neural Networks ◽

Image Analysis ◽

Magnetic Resonance ◽

Resonance Imaging ◽

Deep Convolutional Neural Networks ◽

Brain Image ◽

Brain Image Analysis

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):

Neural Networks ◽

Magnetic Resonance ◽

Image Quality ◽

Multiparametric Magnetic Resonance Imaging

Automated Classification ◽

Resonance Imaging ◽

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):

Alzheimer’S Disease ◽

Neural Networks ◽

Alzheimer's Disease ◽

Magnetic Resonance ◽

Early Identification ◽

Resonance Imaging

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):

Computed Tomography ◽

Neural Networks ◽

Deep Learning ◽

Magnetic Resonance ◽

Learning Approaches ◽

Resonance Imaging ◽

2D And 3D

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):

Neural Networks ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Functional Magnetic Resonance ◽

Resonance Imaging

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):

Neural Networks ◽

Genetic Algorithms ◽

Brain Tumor ◽

Magnetic Resonance ◽

Resonance Imaging