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Brain Segmentation

22 papers with code · Medical

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3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles

28 Mar 2019MASILab/SLANT_brain_seg

To address the first challenge, multiple spatially distributed networks were used in the SLANT method, in which each network learned contextual information for a fixed spatial location.

BRAIN SEGMENTATION

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data

1 Jun 2018MASILab/SLANT_brain_seg

Whole brain segmentation on a structural magnetic resonance imaging (MRI) is essential in non-invasive investigation for neuroanatomy.

BRAIN SEGMENTATION

3D Densely Convolutional Networks for Volumetric Segmentation

11 Sep 2017tbuikr/3D_DenseSeg

The proposed network architecture provides a dense connection between layers that aims to improve the information flow in the network.

BRAIN SEGMENTATION INFANT BRAIN MRI SEGMENTATION SEMANTIC SEGMENTATION

DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation

13 Nov 2019NYUMedML/DARTS

This is also the first work to include an expert reader study to assess the quality of the segmentation obtained using a deep-learning-based model.

BRAIN SEGMENTATION

Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging

19 Jan 2018NIC-VICOROB/tissue_segmentation_comparison

Accurate brain tissue segmentation in Magnetic Resonance Imaging (MRI) has attracted the attention of medical doctors and researchers since variations in tissue volume help in diagnosing and monitoring neurological diseases.

BRAIN SEGMENTATION

MixNet: Multi-modality Mix Network for Brain Segmentation

21 Apr 2020looooongChen/MRBrainS-Brain-Segmentation

Automated brain structure segmentation is important to many clinical quantitative analysis and diagnoses.

BRAIN SEGMENTATION

DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy

27 Feb 2017ai-med/DeepNAT

We introduce DeepNAT, a 3D Deep convolutional neural network for the automatic segmentation of NeuroAnaTomy in T1-weighted magnetic resonance images.

BRAIN SEGMENTATION MULTI-TASK LEARNING

End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation

13 Feb 2020erashed/SubForkNet

However, it is difficult to determine the amount and distribution of the electric field (EF) in the different brain regions due to anatomical complexity and high inter-subject variability.

BRAIN SEGMENTATION SEMANTIC SEGMENTATION

On Direct Distribution Matching for Adapting Segmentation Networks

4 Apr 2019anonymauthor/DDMSegNet

We juxtapose our approach to state-of-the-art segmentation adaptation via adversarial training in the network-output space.

BRAIN SEGMENTATION DOMAIN ADAPTATION IMAGE CLASSIFICATION

MRI Super-Resolution using Multi-Channel Total Variation

8 Oct 2018brudfors/spm_superres

This paper presents a generative model for super-resolution in routine clinical magnetic resonance images (MRI), of arbitrary orientation and contrast.

BRAIN SEGMENTATION SUPER-RESOLUTION