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Skull Stripping

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Showing 1–39 of 39 papers

TitleStatusHype
A survey of loss functions for semantic segmentationCode1
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrastCode1
ACEnet: Anatomical Context-Encoding Network for Neuroanatomy SegmentationCode1
CompNet: Complementary Segmentation Network for Brain MRI ExtractionCode1
Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processingCode1
PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data GenerationCode1
BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image AnalysisCode1
DISARM++: Beyond scanner-free harmonizationCode0
Automatic cerebral hemisphere segmentation in rat MRI with lesions via attention-based convolutional neural networksCode0
Pfungst and Clever Hans: Identifying the unintended cues in a widely used Alzheimer's disease MRI dataset using explainable deep learningCode0
Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputsCode0
Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard MasksCode0
Skull stripping with purely synthetic dataCode0
Alzheimer's Disease Diagnostics by Adaptation of 3D Convolutional NetworkCode0
How We Won the ISLES'24 Challenge by PreprocessingCode0
Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional NetworkCode0
k-strip: A novel segmentation algorithm in k-space for the application of skull strippingCode0
Towards fully automated deep-learning-based brain tumor segmentation: is brain extraction still necessary?Code0
Training of a Skull-Stripping Neural Network with efficient data augmentationCode0
Negligible effect of brain MRI data preprocessing for tumor segmentationCode0
Wide Range MRI Artifact Removal with Transformers—0
Attention-based convolutional neural network for perfusion T2-weighted MR images preprocessing—0
Bayesian convolutional neural network based MRI brain extraction on nonhuman primates—0
Boosting Skull-Stripping Performance for Pediatric Brain Images—0
Brain MRI Segmentation using Template-Based Training and Visual Perception Augmentation—0
Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps—0
Context-endcoding for neural network based skull stripping in magnetic resonance imaging—0
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy—0
Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks—0
Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI—0
FRNET: Flattened Residual Network for Infant MRI Skull Stripping—0
Longitudinal Volumetric Study for the Progression of Alzheimer's Disease from Structural MRI—0
MindGrab for BrainChop: Fast and Accurate Skull Stripping for Command Line and Browser—0
Performance Evaluation of Vanilla, Residual, and Dense 2D U-Net Architectures for Skull Stripping of Augmented 3D T1-weighted MRI Head Scans—0
Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet—0
Plug-and-play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping—0
SynthStrip: Skull-Stripping for Any Brain Image—0
Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality Translation—0
ASMCNN: An Efficient Brain Extraction Using Active Shape Model and Convolutional Neural Networks—0
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