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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 1–25 of 146 papers

TitleStatusHype
GOUHFI: a novel contrast- and resolution-agnostic segmentation tool for Ultra-High Field MRICode0
FLAIRBrainSeg: Fine-grained brain segmentation using FLAIR MRI only—0
Exploring Robustness of Cortical Morphometry in the presence of white matter lesions, using Diffusion Models for Lesion Filling—0
Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation—0
Full-Head Segmentation of MRI with Abnormal Brain Anatomy: Model and Data ReleaseCode0
Unified 3D MRI Representations via Sequence-Invariant Contrastive LearningCode0
VPBSD:Vessel-Pattern-Based Semi-Supervised Distillation for Efficient 3D Microscopic Cerebrovascular Segmentation—0
SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images—0
Comparative Study of Probabilistic Atlas and Deep Learning Approaches for Automatic Brain Tissue Segmentation from MRI Using N4 Bias Field Correction and Anisotropic Diffusion Pre-processing TechniquesCode0
Bilateral Hippocampi Segmentation in Low Field MRIs Using Mutual Feature Learning via Dual-ViewsCode0
MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain SegmentationCode0
Label-Efficient 3D Brain Segmentation via Complementary 2D Diffusion Models with Orthogonal Views—0
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT—0
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation—0
Region-based U-net for accelerated training and enhanced precision in deep brain segmentation—0
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging—0
Expert-Adaptive Medical Image Segmentation—0
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results—0
Segment anything model (SAM) for brain extraction in fMRI studiesCode0
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain ImagingCode1
Artificial Intelligence in Fetal Resting-State Functional MRI Brain Segmentation: A Comparative Analysis of 3D UNet, VNet, and HighRes-Net Models—0
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions—0
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image SegmentationCode1
Comprehensive analysis of synthetic learning applied to neonatal brain MRI segmentationCode0
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements IntegrationCode1
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