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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 76–100 of 146 papers

TitleStatusHype
Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging—0
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation—0
Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation—0
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling—0
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation—0
Ischemic Stroke Lesion Segmentation Using Adversarial Learning—0
Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation—0
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering—0
TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation—0
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
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation—0
Medical Image Super-Resolution Using a Generative Adversarial Network—0
The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features—0
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation—0
The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties—0
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI—0
Transfer Learning from Partial Annotations for Whole Brain 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
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging—0
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