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Methods on Skull Stripping of MRI Head Scan Images—a Review

Journal of Digital Imaging, 2016-06, Vol.29 (3), p.365-379

2016

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Novel whole brain segmentation and volume estimation using quantitative MRI

European radiology, 2012-05, Vol.22 (5), p.998-1007

2012

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Segmentation and classification of brain tumor using 3D-UNet deep neural networks

International journal of cognitive computing in engineering, 2022-06, Vol.3, p.199-210

2022

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A brain tumor segmentation framework based on outlier detection

Medical image analysis, 2004-09, Vol.8 (3), p.275-283

2004

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A 3D Cross-Modality Feature Interaction Network with Volumetric Feature Alignment for Brain Tumor and Tissue Segmentation

IEEE journal of biomedical and health informatics, 2023-01, Vol.27 (1), p.1-14

2023

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UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

IEEE transactions on medical imaging, 2020-06, Vol.39 (6), p.1856-1867

2020

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Infant brain segmentation based on a combination of VGG-16 and U-Net deep neural networks

IET image processing, 2020-12, Vol.14 (17), p.4756-4765

2020

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VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

NeuroImage (Orlando, Fla.), 2018-04, Vol.170, p.446-455

2018

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Fully automated brain tumour segmentation system in 3D-MRI using symmetry analysis of brain and level sets

IET image processing, 2018-11, Vol.12 (11), p.1964-1971

2018

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A Review on Convolutional Neural Networks for Brain Tumor Segmentation: Methods, Datasets, Libraries, and Future Directions

Ingénierie et recherche biomédicale, 2022-12, Vol.43 (6), p.521-537

Balwant, M.K.

2022

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Human Fetal Brain Magnetic Resonance Imaging (MRI) Tells Future Emergence of Autism Spectrum Disorders

The FASEB journal, 2022-05, Vol.36 (S1), p.n/a

2022

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DeepNAT: Deep convolutional neural network for segmenting neuroanatomy

NeuroImage (Orlando, Fla.), 2018-04, Vol.170, p.434-445

2018

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QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy

NeuroImage (Orlando, Fla.), 2019-02, Vol.186, p.713-727

2019

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3D whole brain segmentation using spatially localized atlas network tiles

NeuroImage (Orlando, Fla.), 2019-07, Vol.194, p.105-119

2019

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Brain segmentation in patients with perinatal arterial ischemic stroke

NeuroImage clinical, 2023-01, Vol.38, p.103381-103381, Article 103381

2023

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Deep Learning Trends for Focal Brain Pathology Segmentation in MRI

Machine Learning for Health Informatics, 2016, Vol.9605, p.125-148

2016

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MLU-Net: A Multi-Level Lightweight U-Net for Medical Image Segmentation Integrating Frequency Representation and MLP-Based Methods

IEEE access, 2024-01, Vol.12, p.1-1

2024

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SyMRI of the Brain: Rapid Quantification of Relaxation Rates and Proton Density, With Synthetic MRI, Automatic Brain Segmentation, and Myelin Measurement

Investigative radiology, 2017-10, Vol.52 (10), p.647-657

2017

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A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis

NeuroImage (Orlando, Fla.), 2021-01, Vol.225, p.117471-117471, Article 117471

2021

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Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging

IEEE transactions on medical imaging, 2017-11, Vol.36 (11), p.2319-2330

2017

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Automated Histogram-Based Brain Segmentation in T1-Weighted Three-Dimensional Magnetic Resonance Head Images

NeuroImage (Orlando, Fla.), 2002-11, Vol.17 (3), p.1587-1598

2002

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MMAN: Multi-modality aggregation network for brain segmentation from MR images

Neurocomputing (Amsterdam), 2019-09, Vol.358, p.10-19

2019

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An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement

NeuroImage (Orlando, Fla.), 2018-04, Vol.170, p.482-494

2018

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Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems

Frontiers in neuroscience, 2019-08, Vol.13, p.844-844

2019

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Automatic brain tissue segmentation in fetal MRI using convolutional neural networks

Magnetic resonance imaging, 2019-12, Vol.64, p.77-89

2019

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Methods on Skull Stripping of MRI Head Scan Images—a Review

Novel whole brain segmentation and volume estimation using quantitative MRI

Segmentation and classification of brain tumor using 3D-UNet deep neural networks

A brain tumor segmentation framework based on outlier detection

A 3D Cross-Modality Feature Interaction Network with Volumetric Feature Alignment for Brain Tumor and Tissue Segmentation

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Infant brain segmentation based on a combination of VGG-16 and U-Net deep neural networks

VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

Fully automated brain tumour segmentation system in 3D-MRI using symmetry analysis of brain and level sets

A Review on Convolutional Neural Networks for Brain Tumor Segmentation: Methods, Datasets, Libraries, and Future Directions

Human Fetal Brain Magnetic Resonance Imaging (MRI) Tells Future Emergence of Autism Spectrum Disorders

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy

QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy

3D whole brain segmentation using spatially localized atlas network tiles

Brain segmentation in patients with perinatal arterial ischemic stroke

Deep Learning Trends for Focal Brain Pathology Segmentation in MRI

MLU-Net: A Multi-Level Lightweight U-Net for Medical Image Segmentation Integrating Frequency Representation and MLP-Based Methods

SyMRI of the Brain: Rapid Quantification of Relaxation Rates and Proton Density, With Synthetic MRI, Automatic Brain Segmentation, and Myelin Measurement

A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis

Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging

Automated Histogram-Based Brain Segmentation in T1-Weighted Three-Dimensional Magnetic Resonance Head Images

MMAN: Multi-modality aggregation network for brain segmentation from MR images

An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems

Automatic brain tissue segmentation in fetal MRI using convolutional neural networks

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