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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 101–146 of 146 papers

TitleStatusHype
Unsupervised Deep Learning for Bayesian Brain MRI SegmentationCode0
3DQ: Compact Quantized Neural Networks for Volumetric Whole Brain Segmentation—0
On Direct Distribution Matching for Adapting Segmentation Networks—0
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks—0
3D Whole Brain Segmentation using Spatially Localized Atlas Network TilesCode0
CUSUM Filter for Brain Segmentation on DSC Perfusion MR Head Scans with Abnormal Brain Anatomy—0
Medical Image Super-Resolution Using a Generative Adversarial Network—0
PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation—0
Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols—0
Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles—0
Brain Segmentation from k-space with End-to-end Recurrent Attention Network—0
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features—0
Knowing what you know in brain segmentation using Bayesian deep neural networksCode0
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality ControlCode0
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net—0
The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features—0
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial LearningCode0
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks—0
MRI Super-Resolution using Multi-Channel Total VariationCode0
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding—0
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object SizesCode0
Pulse Sequence Resilient Fast Brain Segmentation—0
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning—0
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation PipelinesCode0
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited DataCode0
Distributed Weight Consolidation: A Brain Segmentation Case Study—0
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling—0
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI—0
Generalizability vs. Robustness: Adversarial Examples for Medical Imaging—0
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imagingCode0
QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of NeuroanatomyCode0
Learning Based Segmentation of CT Brain Images: Application to Post-Operative Hydrocephalic Scans—0
Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation—0
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep LearningCode0
Isointense Infant Brain Segmentation with a Hyper-dense Connected Convolutional Neural NetworkCode0
3D Densely Convolutional Networks for VolumetricSegmentationCode0
3D Densely Convolutional Networks for Volumetric SegmentationCode0
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data—0
Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging—0
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy—0
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale studyCode0
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain SegmentationCode0
Learning under Distributed Weak Supervision—0
Deep Neural Networks for Anatomical Brain SegmentationCode0
RANCOR: Non-Linear Image Registration with Total Variation Regularization—0
Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy Images—0
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