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Constrained Gaussian mixture model framework for automatic segmentation of MR brain images

IEEE transactions on medical imaging, 2006-09, Vol.25 (9), p.1233-1245

2006

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Investigation of the Role of Feature Selection and Weighted Voting in Random Forests for 3-D Volumetric Segmentation

IEEE transactions on medical imaging, 2014-02, Vol.33 (2), p.258-271

2014

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White Matter, Gray Matter and Cerebrospinal Fluid Segmentation from Brain Magnetic Resonance Imaging Using Adaptive U-Net and Local Convolutional Neural Network

Computer journal, 2022-12, Vol.65 (12), p.3081-3090

2022

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Non-local-based spatially constrained hierarchical fuzzy C-means method for brain magnetic resonance imaging segmentation

IET image processing, 2016-11, Vol.10 (11), p.865-876

2016

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An atlas-free newborn brain image segmentation and classification scheme based on SOM-DCNN with sparse auto encoder

Computer methods in biomechanics and biomedical engineering., 2020-01, Vol.8 (1), p.49-64

2020

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Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Medical image analysis, 2017-02, Vol.36, p.61-78

2017

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Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1240-1251

2016

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Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

IEEE transactions on medical imaging, 2018-07, Vol.37 (7), p.1562-1573

2018

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DRINet for Medical Image Segmentation

IEEE transactions on medical imaging, 2018-11, Vol.37 (11), p.2453-2462

2018

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Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1252-1261

2016

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Brain tumor segmentation with Deep Neural Networks

Medical image analysis, 2017-01, Vol.35, p.18-31

2017

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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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HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation

IEEE transactions on medical imaging, 2019-05, Vol.38 (5), p.1116-1126

2019

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Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images

IEEE transactions on medical imaging, 2018-08, Vol.37 (8), p.1943-1954

2018

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Brain tumor segmentation and classification from magnetic resonance images: Review of selected methods from 2014 to 2019

Pattern recognition letters, 2020-03, Vol.131, p.244-260

2020

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Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools

Computers in biology and medicine, 2023-01, Vol.152, p.106405-106405, Article 106405

2023

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An Automatic Learning-Based Framework for Robust Nucleus Segmentation

IEEE transactions on medical imaging, 2016-02, Vol.35 (2), p.550-566

2016

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Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets

IEEE transactions on medical imaging, 2018-09, Vol.37 (9), p.2149-2160

2018

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Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1229-1239

2016

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Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities

IEEE transactions on image processing, 2021-01, Vol.30, p.4263-4274

2021

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SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth

IEEE transactions on medical imaging, 2019-04, Vol.38 (4), p.1016-1025

2019

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Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications

IEEE transactions on medical imaging, 2012-03, Vol.31 (3), p.790-804

2012

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Multi-Domain Image Completion for Random Missing Input Data

IEEE transactions on medical imaging, 2021-04, Vol.40 (4), p.1113-1122

2021

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MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited Labels

IEEE transactions on medical imaging, 2023-10, Vol.42 (10), p.1-1

2023

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CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation

IEEE transactions on medical imaging, 2023-08, Vol.42 (8), p.2451-2461

2023

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Constrained Gaussian mixture model framework for automatic segmentation of MR brain images

Investigation of the Role of Feature Selection and Weighted Voting in Random Forests for 3-D Volumetric Segmentation

White Matter, Gray Matter and Cerebrospinal Fluid Segmentation from Brain Magnetic Resonance Imaging Using Adaptive U-Net and Local Convolutional Neural Network

Non-local-based spatially constrained hierarchical fuzzy C-means method for brain magnetic resonance imaging segmentation

An atlas-free newborn brain image segmentation and classification scheme based on SOM-DCNN with sparse auto encoder

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

DRINet for Medical Image Segmentation

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

Brain tumor segmentation with Deep Neural Networks

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

HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation

Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images

Brain tumor segmentation and classification from magnetic resonance images: Review of selected methods from 2014 to 2019

Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools

An Automatic Learning-Based Framework for Robust Nucleus Segmentation

Automatic Segmentation of Acute Ischemic Stroke From DWI Using 3-D Fully Convolutional DenseNets

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities

SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth

Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications

Multi-Domain Image Completion for Random Missing Input Data

MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited Labels

CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation

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