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Brain Image Segmentation

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Showing 1–25 of 32 papers

TitleStatusHype
SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform RegressionCode1
Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection—0
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging—0
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging DataCode0
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma—0
Finding the Most Transferable Tasks for Brain Image Segmentation—0
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging DataCode0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain ImagesCode0
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion SegmentationCode0
DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image SegmentationCode0
Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows—0
Multi-Task Neural Processes—0
EGMM: an Evidential Version of the Gaussian Mixture Model for Clustering—0
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
Using deep convolutional neural networks for neonatal brain image segmentationCode1
ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical ImagingCode0
Transfer Learning from Partial Annotations for Whole Brain Segmentation—0
Enforcing temporal consistency in Deep Learning segmentation of brain MR imagesCode0
Unsupervised Deep Learning for Bayesian Brain MRI SegmentationCode0
Non-local U-Net for Biomedical Image SegmentationCode1
Brain Segmentation from k-space with End-to-end Recurrent Attention Network—0
Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net—0
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