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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 51–75 of 146 papers

TitleStatusHype
Label-Efficient 3D Brain Segmentation via Complementary 2D Diffusion Models with Orthogonal Views—0
Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy Images—0
Learning Based Segmentation of CT Brain Images: Application to Post-Operative Hydrocephalic Scans—0
Learning to segment fetal brain tissue from noisy annotations—0
Learning under Distributed Weak Supervision—0
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation—0
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results—0
Multi-modal segmentation of 3D brain scans using neural networks—0
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge—0
Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis—0
On Direct Distribution Matching for Adapting Segmentation Networks—0
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding—0
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy—0
PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation—0
Pulse Sequence Resilient Fast Brain Segmentation—0
RANCOR: Non-Linear Image Registration with Total Variation Regularization—0
Recalibrating 3D ConvNets with Project & Excite—0
Region-based U-net for accelerated training and enhanced precision in deep brain segmentation—0
Region of Interest Identification for Brain Tumors in Magnetic Resonance Images—0
RegQCNET: Deep Quality Control for Image-to-template Brain MRI Affine Registration—0
Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols—0
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention—0
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets—0
SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images—0
Semi-supervised Learning with Robust Loss in Brain Segmentation—0
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