Neural network-based segmentation of magnetic resonance images of the brain

J. Alirezaie; M.E. Jernigan; C. Nahmias

doi:10.1109/23.568805

Neural network-based segmentation of magnetic resonance images of the brain

IEEE Transactions on Nuclear Science ◽

10.1109/23.568805 ◽

1997 ◽

Vol 44 (2) ◽

pp. 194-198 ◽

Cited By ~ 46

Author(s):

J. Alirezaie ◽

M.E. Jernigan ◽

C. Nahmias

Keyword(s):

Neural Network ◽

Magnetic Resonance ◽

Magnetic Resonance Images ◽

The Brain

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A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain

IEEE Transactions on Neural Networks ◽

10.1109/72.159057 ◽

1992 ◽

Vol 3 (5) ◽

pp. 672-682 ◽

Cited By ~ 396

Author(s):

L.O. Hall ◽

A.M. Bensaid ◽

L.P. Clarke ◽

R.P. Velthuizen ◽

M.S. Silbiger ◽

...

Keyword(s):

Neural Network ◽

Magnetic Resonance ◽

Fuzzy Clustering ◽

Magnetic Resonance Images ◽

Clustering Techniques ◽

The Brain

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Detecting Structural Alterations in the Brain using a Cellular Neural Network based Classification of Magnetic Resonance Images

2006 10th International Workshop on Cellular Neural Networks and Their Applications ◽

10.1109/cnna.2006.341648 ◽

2006 ◽

Cited By ~ 1

Author(s):

Florian Dohler ◽

Anton Chernihovskyi ◽

Florian Mormann ◽

Christian E. Elger ◽

Klaus Lehnertz

Keyword(s):

Neural Network ◽

Magnetic Resonance ◽

Cellular Neural Network ◽

Magnetic Resonance Images ◽

Structural Alterations ◽

The Brain

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Neural network based segmentation of magnetic resonance images of the brain

1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record ◽

10.1109/nssmic.1995.500263 ◽

2002 ◽

Cited By ~ 3

Author(s):

J. Alirezaie ◽

M.E. Jernigan ◽

C. Nahmias

Keyword(s):

Neural Network ◽

Magnetic Resonance ◽

Magnetic Resonance Images ◽

The Brain

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Three‐class classification of brain magnetic resonance images using average‐pooling convolutional neural network

International Journal of Imaging Systems and Technology ◽

10.1002/ima.22554 ◽

2021 ◽

Cited By ~ 1

Author(s):

Jagadeesh Kakarla ◽

Bala Venkateswarlu Isunuri ◽

Krishna Sai Doppalapudi ◽

Karthik Satya Raghuram Bylapudi

Keyword(s):

Neural Network ◽

Magnetic Resonance ◽

Convolutional Neural Network ◽

Magnetic Resonance Images

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Segmentation of Vestibular Schwannoma from Multi-parametric Magnetic Resonance Images using Convolutional Neural Network

Proceedings of the 2019 2nd International Conference on Digital Medicine and Image Processing ◽

10.1145/3379299.3379300 ◽

2019 ◽

Author(s):

Wei-Kai Lee ◽

Chih-Chun Wu ◽

Tzu Hsuan Huang ◽

Chun-Yi, Lin ◽

Cheng-Chia Lee ◽

...

Keyword(s):

Neural Network ◽

Magnetic Resonance ◽

Convolutional Neural Network ◽

Vestibular Schwannoma ◽

Magnetic Resonance Images

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Ensemble learning-based classification on local patches from magnetic resonance images to detect iron depositions in the brain

International Journal of Bio-Inspired Computation ◽

10.1504/ijbic.2021.10039664 ◽

2021 ◽

Vol 17 (4) ◽

pp. 260

Author(s):

Beshiba Wilson ◽

Ruma Madhu Sreedharan ◽

Julia Punitha Malar Dhas ◽

Ram P. Krish

Keyword(s):

Magnetic Resonance ◽

Ensemble Learning ◽

Magnetic Resonance Images ◽

The Brain

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Detection of Alzheimer's Disease Using Graph-Regularized Convolutional Neural Network Based on Structural Similarity Learning of Brain Magnetic Resonance Images

10.1109/iri51335.2021.00051 ◽

2021 ◽

Author(s):

Kuo Yang ◽

Emad A. Mohammed ◽

Behrouz H. Far

Keyword(s):

Neural Network ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Magnetic Resonance ◽

Convolutional Neural Network ◽

Structural Similarity ◽

Magnetic Resonance Images ◽

Similarity Learning

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Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network

2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) ◽

10.1109/sitis.2016.16 ◽

2016 ◽

Cited By ~ 1

Author(s):

Archontis Giannakidis ◽

Konstantinos Kamnitsas ◽

Veronica Spadotto ◽

Jennifer Keegan ◽

Gillian Smith ◽

...

Keyword(s):

Neural Network ◽

Cardiovascular Magnetic Resonance ◽

Magnetic Resonance ◽

Right Ventricle ◽

Convolutional Neural Network ◽

Automatic Segmentation ◽

Magnetic Resonance Images ◽

Human Right ◽

Multi Scale ◽

Fully Automatic

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Significance of Virchow Robin Spaces in Magnetic Resonance Images of the Brain

Imaging of Brain Metabolism Spine and Cord Interventional Neuroradiology Free Communications ◽

10.1007/978-3-642-74337-5_176 ◽

1989 ◽

pp. 615-615 ◽

Cited By ~ 1

Author(s):

A. Muraki ◽

H. Manz ◽

J. Smirniotopoulus ◽

M. Carvlin ◽

D. Schellinger

Keyword(s):

Magnetic Resonance ◽

Magnetic Resonance Images ◽

The Brain

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A deep learning model integrating convolution neural network and multiple kernel K means clustering for segmenting brain tumor in magnetic resonance images

International Journal of Imaging Systems and Technology ◽

10.1002/ima.22498 ◽

2020 ◽

Author(s):

Balakumaresan Ragupathy ◽

Manivannan Karunakaran

Keyword(s):

Neural Network ◽

Deep Learning ◽

Brain Tumor ◽

Magnetic Resonance ◽

Learning Model ◽

Magnetic Resonance Images ◽

Convolution Neural Network ◽

Multiple Kernel ◽

Deep Learning Model

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