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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 51–100 of 146 papers

TitleStatusHype
Model-based inexact graph matching on top of CNNs for semantic scene understandingCode0
MRI Super-Resolution using Multi-Channel Total VariationCode0
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation PipelinesCode0
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imagingCode0
3D Densely Convolutional Networks for Volumetric SegmentationCode0
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep LearningCode0
Recalibrating 3D ConvNets with Project & ExciteCode0
ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical ImagingCode0
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasetsCode0
Segment anything model (SAM) for brain extraction in fMRI studiesCode0
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited DataCode0
Two Independent Teachers are Better Role ModelCode0
Unified 3D MRI Representations via Sequence-Invariant Contrastive LearningCode0
Unsupervised Deep Learning for Bayesian Brain MRI SegmentationCode0
VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain SegmentationCode0
FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRI—0
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset—0
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks—0
FLAIRBrainSeg: Fine-grained brain segmentation using FLAIR MRI only—0
Sub-cortical structure segmentation database for young population—0
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks—0
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net—0
Generalizability vs. Robustness: Adversarial Examples for Medical Imaging—0
Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning—0
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling—0
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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