Brain volumes quantification from MRI in healthy controls: Assessing correlation, agreement and robustness of a convolutional neural network-based software against FreeSurfer, CAT12 and FSL

Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly

(2019) Muhan Shao et al.   NeuroImage-Clinical

Semi-supervised deep learning of brain tissue segmentation

(2019) Ryo Ito et al.   NEURAL NETWORKS

NiftyNet: a deep-learning platform for medical imaging

(2018) Eli Gibson et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Cortical Thickness Estimations of FreeSurfer and the CAT12 Toolbox in Patients with Alzheimer's Disease and Healthy Controls

(2018) Rene Seiger et al.   JOURNAL OF NEUROIMAGING

Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features

(2018) Kaisar Kushibar et al.   MEDICAL IMAGE ANALYSIS

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy

(2018) Christian Wachinger et al.   NEUROIMAGE

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

(2018) Hao Chen et al.   NEUROIMAGE

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

(2018) Jose Dolz et al.   NEUROIMAGE

3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation

(2018) Dong Nie et al.   IEEE Transactions on Cybernetics

Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI

(2018) Pim Moeskops et al.   NeuroImage-Clinical

Repeatability and reproducibility of FreeSurfer, FSL-SIENAX and SPM brain volumetric measurements and the effect of lesion filling in multiple sclerosis

(2018) Chunjie Guo et al.   EUROPEAN RADIOLOGY

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

(2018) Abhijit Guha Roy et al.   NEUROIMAGE

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

A review on brain structures segmentation in magnetic resonance imaging

(2016) Sandra González-Villà et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

(2016) Pim Moeskops et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Fast and robust segmentation of the striatum using deep convolutional neural networks

(2016) Hongyoon Choi et al.   JOURNAL OF NEUROSCIENCE METHODS

Comparing 3T and 1.5T MRI for Mapping Hippocampal Atrophy in the Alzheimer's Disease Neuroimaging Initiative

(2015) N. Chow et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Whole Brain Volume Measured from 1.5T versus 3T MRI in Healthy Subjects and Patients with Multiple Sclerosis

(2015) Renxin Chu et al.   JOURNAL OF NEUROIMAGING

Using visual rating to diagnose dementia: a critical evaluation of MRI atrophy scales

(2015) Lorna Harper et al.   JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

(2015) Wenlu Zhang et al.   NEUROIMAGE

Validation of FreeSurfer-Estimated Brain Cortical Thickness: Comparison with Histologic Measurements

(2014) Francesco Cardinale et al.   NEUROINFORMATICS

FreeSurfer

(2012) Bruce Fischl   NEUROIMAGE

FSL

(2011) Mark Jenkinson et al.   NEUROIMAGE

A survey of methods for image annotation

(2008) Allan Hanbury   JOURNAL OF VISUAL LANGUAGES AND COMPUTING