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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 1–50 of 146 papers

TitleStatusHype
`Project & Excite' Modules for Segmentation of Volumetric Medical ScansCode1
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
FastSurfer -- A fast and accurate deep learning based neuroimaging pipelineCode1
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI SlicesCode1
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical ImagingCode1
Partial supervision for the FeTA challenge 2021Code1
MONAIfbs: MONAI-based fetal brain MRI deep learning segmentationCode1
Whole Brain Segmentation with Full Volume Neural NetworkCode1
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea SegmentationCode1
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical SegmentationCode1
Direct cortical thickness estimation using deep learning‐based anatomy segmentation and cortex parcellationCode1
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain ImagingCode1
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentationCode1
CEREBRUM‐7T: Fast and Fully Volumetric Brain Segmentation of 7 Tesla MR VolumesCode1
Importance Driven Continual Learning for Segmentation Across DomainsCode1
Local Temperature Scaling for Probability CalibrationCode1
Reliable brain morphometry from contrast‐enhanced T1w‐MRI in patients with multiple sclerosisCode1
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image SegmentationCode1
DBSegment: Fast and robust segmentation of deep brain structures -- Evaluation of transportability across acquisition domainsCode1
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements IntegrationCode1
A Learning Strategy for Contrast-agnostic MRI SegmentationCode1
Analysis of effectiveness of thresholding in perfusion ROI detection on T2-weighted MR images with abnormal brain anatomy—0
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset—0
FLAIRBrainSeg: Fine-grained brain segmentation using FLAIR MRI only—0
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning—0
Bayesian convolutional neural network based MRI brain extraction on nonhuman primates—0
A multi-objective optimization approach for brain MRI segmentation using fuzzy entropy clustering and region-based active contour methods—0
FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRI—0
Brain MRI Segmentation using Template-Based Training and Visual Perception Augmentation—0
Brain segmentation based on multi-atlas guided 3D fully convolutional network ensembles—0
Automatic Intracranial Brain Segmentation from Computed Tomography Head Images—0
Expert-Adaptive Medical Image Segmentation—0
Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks—0
Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks—0
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks—0
Auto-context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging—0
All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions—0
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes—0
CUSUM Filter for Brain Segmentation on DSC Perfusion MR Head Scans with Abnormal Brain Anatomy—0
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation—0
Contour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI—0
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation—0
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data—0
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI—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
CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion—0
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net—0
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy—0
Distributed Weight Consolidation: A Brain Segmentation Case Study—0
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