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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
Ischemic Stroke Lesion Segmentation Using Adversarial Learning—0
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering—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
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
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
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
Sub-cortical structure segmentation database for young population—0
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling—0
Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation—0
TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain 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
The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties—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
Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation—0
UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation—0
vol2Brain: A new online Pipeline for whole Brain MRI analysis—0
VPBSD:Vessel-Pattern-Based Semi-Supervised Distillation for Efficient 3D Microscopic Cerebrovascular Segmentation—0
Deep learning-based brain segmentation model performance validation with clinical radiotherapy CT—0
Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging—0
Expert-Adaptive Medical Image Segmentation—0
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy—0
Direct segmentation of brain white matter tracts in diffusion MRI—0
Distributed Weight Consolidation: A Brain Segmentation Case Study—0
Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images—0
Brain Segmentation from k-space with End-to-end Recurrent Attention Network—0
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data—0
Exploring Robustness of Cortical Morphometry in the presence of white matter lesions, using Diffusion Models for Lesion Filling—0
Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks—0
FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRI—0
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