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Brain Segmentation

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

Papers

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Showing 126–146 of 146 papers

TitleStatusHype
Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles—0
Contour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI—0
Brain MRI Segmentation using Template-Based Training and Visual Perception Augmentation—0
CUSUM Filter for Brain Segmentation on DSC Perfusion MR Head Scans with Abnormal Brain Anatomy—0
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets—0
Bayesian convolutional neural network based MRI brain extraction on nonhuman primates—0
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT—0
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging—0
Expert-Adaptive Medical Image Segmentation—0
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation—0
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy—0
SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images—0
Automatic Intracranial Brain Segmentation from Computed Tomography Head Images—0
Direct segmentation of brain white matter tracts in diffusion MRI—0
Distributed Weight Consolidation: A Brain Segmentation Case Study—0
Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images—0
Semi-supervised Learning with Robust Loss in Brain Segmentation—0
Brain Segmentation from k-space with End-to-end Recurrent Attention Network—0
vol2Brain: A new online Pipeline for whole Brain MRI analysis—0
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net—0
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data—0
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