Brain tissue classification of magnetic resonance images using partial volume modeling

Tissue Classification ◽

Partial Volume ◽

Volume Modeling

Computerized Brain Tissue Classification of Magnetic Resonance Images: A New Approach to the Problem of Partial Volume Artifact

NeuroImage ◽

10.1006/nimg.1995.1016 ◽

1995 ◽

Vol 2 (2) ◽

pp. 133-147 ◽

Cited By ~ 31

Author(s):

Edward Bullmore ◽

Michael Brammer ◽

Gaëtane Rouleau ◽

Brian Everitt ◽

Andrew Simmons ◽

...

Keyword(s):

Magnetic Resonance ◽

Brain Tissue ◽

Tissue Classification ◽

New Approach ◽

Partial volume effect modeling for segmentation and tissue classification of brain magnetic resonance images: A review

World Journal of Radiology ◽

10.4329/wjr.v6.i11.855 ◽

2014 ◽

Vol 6 (11) ◽

pp. 855 ◽

Cited By ~ 36

Author(s):

Jussi Tohka

Keyword(s):

Magnetic Resonance ◽

Volume Effect ◽

Partial Volume Effect ◽

Tissue Classification ◽

Partial volume tissue classification of multichannel magnetic resonance images-a mixel model

IEEE Transactions on Medical Imaging ◽

10.1109/42.97590 ◽

1991 ◽

Vol 10 (3) ◽

pp. 395-407 ◽

Cited By ~ 198

Author(s):

H.S. Choi ◽

D.R. Haynor ◽

Y. Kim

Keyword(s):

Magnetic Resonance ◽

Tissue Classification ◽

Quantitative estimations of cerebrospinal fluid spaces and brain regions in healthy controls using computer-assisted tissue classification of magnetic resonance images: Relation to age and sex

Magnetic Resonance Imaging ◽

10.1016/0730-725x(92)90482-f ◽

1992 ◽

Vol 10 (2) ◽

pp. 217-226 ◽

Cited By ~ 18

Author(s):

Ingrid Agartz ◽

Jan Sääf ◽

Lars-Olof Wahlund ◽

Lennart Wetterberg

Keyword(s):

Cerebrospinal Fluid ◽

Magnetic Resonance ◽

Brain Regions ◽

Computer Assisted ◽

Healthy Controls ◽

Tissue Classification ◽

Age And Sex

Automated tissue classification of pediatric brains from magnetic resonance images using age-specific atlases

10.1117/12.2216116 ◽

2016 ◽

Author(s):

Andrew Metzger ◽

Amanda Benavides ◽

Peg Nopoulos ◽

Vincent Magnotta

Keyword(s):

Magnetic Resonance ◽

Tissue Classification

Classification of optimal brain tissue using dynamic region growing and fuzzy min-max neural network in brain magnetic resonance images

Neuroscience Informatics ◽

10.1016/j.neuri.2021.100019 ◽

2021 ◽

pp. 100019

Author(s):

Sunil L. Bangare

Keyword(s):

Neural Network ◽

Magnetic Resonance ◽

Brain Tissue ◽

Region Growing ◽

Magnetic Resonance Images

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

ICA for Ovary Tissue Classification of Perfusion Magnetic Resonance Images

10.1109/iembs.2007.4352614 ◽

2007 ◽

Author(s):

Jose J. Rieta ◽

David Moratal ◽

Luis Marti-Bonmati ◽

Raquel Molina-Minguez ◽

Ana Valles-Lluch ◽

...

Keyword(s):

Magnetic Resonance ◽

Tissue Classification

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) ◽

Brain tissue classification of alzheimer disease using partial volume possibilistic modeling: Application to ADNI phantom images

10.1109/ipta.2017.8310095 ◽

2017 ◽

Cited By ~ 1

Author(s):

Lilia Lazli ◽

Mounir Boukadoum ◽

Otmane Ait-Mohamed

Keyword(s):

Alzheimer Disease ◽

Brain Tissue ◽

Tissue Classification ◽

Hybrid Method for Brain Tissue Classification in Magnetic Resonance Images of Children

Indian Journal of Science and Technology ◽

10.17485/ijst/2016/v9i28/94245 ◽

2016 ◽

Vol 9 (28) ◽

Author(s):

Chelli N. Devi ◽

Anupama Chandrasekharan ◽

V. K. Sundararaman ◽

Zachariah C. Alex

Keyword(s):

Magnetic Resonance ◽

Brain Tissue ◽

Hybrid Method ◽

Tissue Classification

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