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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
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation—0
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI—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
The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features—0
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering—0
The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties—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
Artificial Intelligence in Fetal Resting-State Functional MRI Brain Segmentation: A Comparative Analysis of 3D UNet, VNet, and HighRes-Net Models—0
Transfer Learning from Partial Annotations for Whole Brain Segmentation—0
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging—0
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation—0
Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation—0
Analysis of effectiveness of thresholding in perfusion ROI detection on T2-weighted MR images with abnormal brain anatomy—0
3D Densely Convolutional Networks for VolumetricSegmentation—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
UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation—0
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