State-of-the-Art Traditional to the Machine- and Deep-Learning-Based Skull Stripping Techniques, Models, and Algorithms
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Title
State-of-the-Art Traditional to the Machine- and Deep-Learning-Based Skull Stripping Techniques, Models, and Algorithms
Authors
Keywords
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Journal
JOURNAL OF DIGITAL IMAGING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-07-15
DOI
10.1007/s10278-020-00367-5
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Note: Only part of the references are listed.- A gentle introduction to deep learning in medical image processing
- (2019) Andreas Maier et al. Zeitschrift fur Medizinische Physik
- 3D U-Net for Skull Stripping in Brain MRI
- (2019) Hyunho Hwang et al. Applied Sciences-Basel
- Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks
- (2019) Oeslle Lucena et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
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- A multi-view pyramid network for skull stripping on neonatal T1-weighted MRI
- (2019) Yan Gao et al. MAGNETIC RESONANCE IMAGING
- NIMG-40. ROBUST MODALITY-AGNOSTIC SKULL-STRIPPING IN PRESENCE OF DIFFUSE GLIOMA: A MULTI-INSTITUTIONAL STUDY
- (2019) Siddhesh Thakur et al. NEURO-ONCOLOGY
- Optimized partial-coverage functional analysis pipeline (OPFAP): a semi-automated pipeline for skull stripping and co-registration of partial-coverage, ultra-high-field functional images
- (2018) Peter E. Yoo et al. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
- An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement
- (2018) Roberto Souza et al. NEUROIMAGE
- VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
- (2018) Hao Chen et al. NEUROIMAGE
- Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach
- (2018) Xu Han et al. NEUROIMAGE
- Identifying errors in Freesurfer automated skull stripping and the incremental utility of manual intervention
- (2018) Abigail B. Waters et al. Brain Imaging and Behavior
- A fully automatic methodology for MRI brain tumour detection and segmentation
- (2018) S. Tchoketch Kebir et al. IMAGING SCIENCE JOURNAL
- Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging
- (2017) Seyed Sadegh Mohseni Salehi et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Fully Convolutional Networks for Semantic Segmentation
- (2017) Evan Shelhamer et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
- (2017) Zeynettin Akkus et al. JOURNAL OF DIGITAL IMAGING
- Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
- (2017) Konstantinos Kamnitsas et al. MEDICAL IMAGE ANALYSIS
- Robust skull stripping using multiple MR image contrasts insensitive to pathology
- (2017) Snehashis Roy et al. NEUROIMAGE
- A new method for skull stripping in brain MRI using multistable cellular neural networks
- (2016) Burak Yilmaz et al. NEURAL COMPUTING & APPLICATIONS
- Deep MRI brain extraction: A 3D convolutional neural network for skull stripping
- (2016) Jens Kleesiek et al. NEUROIMAGE
- MRI Segmentation of the Human Brain: Challenges, Methods, and Applications
- (2015) Ivana Despotović et al. Computational and Mathematical Methods in Medicine
- Methods on Skull Stripping of MRI Head Scan Images—a Review
- (2015) P. Kalavathi et al. JOURNAL OF DIGITAL IMAGING
- Validated automatic brain extraction of head CT images
- (2015) John Muschelli et al. NEUROIMAGE
- Brain Extraction Using Label Propagation and Group Agreement: Pincram
- (2015) Rolf A. Heckemann et al. PLoS One
- The Insight ToolKit image registration framework
- (2014) Brian B. Avants et al. Frontiers in Neuroinformatics
- Multi-Atlas Skull-Stripping
- (2013) Jimit Doshi et al. ACADEMIC RADIOLOGY
- Brain segmentation in magnetic resonance human head scans using multi-seeded region growing
- (2013) K. Somasundaram et al. IMAGING SCIENCE JOURNAL
- An accurate skull stripping method based on simplex meshes and histogram analysis for magnetic resonance images
- (2012) Francisco J. Galdames et al. JOURNAL OF NEUROSCIENCE METHODS
- Optimizing parameter choice for FSL-Brain Extraction Tool (BET) on 3D T1 images in multiple sclerosis
- (2012) V. Popescu et al. NEUROIMAGE
- An automated and simple method for brain MR image extraction
- (2011) Haiyan Zhang et al. Biomedical Engineering Online
- Automatic brain extraction methods for T1 magnetic resonance images using region labeling and morphological operations
- (2011) K. Somasundaram et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods
- (2011) J. E. Iglesias et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Skull-stripping method for brain MRI using a 3D level set with a speedup operator
- (2011) Jinyoung Hwang et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Brain MAPS: An automated, accurate and robust brain extraction technique using a template library
- (2011) Kelvin K. Leung et al. NEUROIMAGE
- BEaST: Brain extraction based on nonlocal segmentation technique
- (2011) Simon F. Eskildsen et al. NEUROIMAGE
- Fully automatic brain extraction algorithm for axial T2-weighted magnetic resonance images
- (2010) K. Somasundaram et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
- (2009) Zhuowen Tu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Gaussian mixture model-based segmentation of MR images taken from premature infant brains
- (2009) Harri Merisaari et al. JOURNAL OF NEUROSCIENCE METHODS
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- (2009) Jia-Xiu Liu et al. JOURNAL OF NEUROSCIENCE METHODS
- Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
- (2009) Arno Klein et al. NEUROIMAGE
- Skull stripping using graph cuts
- (2009) Suresh A. Sadananthan et al. NEUROIMAGE
- Fully automatic segmentation of the brain from T1-weighted MRI using Bridge Burner algorithm
- (2008) Artem Mikheev et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
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