Article

AI-Based Pipeline for the Segmentation of White Matter Hypoattenuations in CT Scans: A Design-Choice Validation Study

2026-03-11

Abstract excerpt

<h4>Purpose</h4> White matter hyperintensities are a key imaging marker of vascular pathology, defined on brain magnetic resonance imaging (MRI) and typically manifesting on non-contrast computed tomography (CT) as subtle white matter hypoattenuation (WMH). Accurately segmenting WMH in CT scans remains challenging due to their low contrast with the surrounding tissue. This work presents an end-to-end framework fo...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f8d4b840-5d92-59b0-8671-40ee9c0f075d
DOI: 10.64898/2026.03.10.26348006

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

AI-Based Pipeline for the Segmentation of White Matter Hypoattenuations in CT Scans: A Design-Choice Validation StudyDOI 10.64898/2026.03.10.26348006Read

Automatic Segmentation of White Matter Hyperintensities from Brain Magnetic Resonance Images in the Era of Deep Learning and Big Data – A Systematic ReviewSemantic proximity Read

WHITE-Net : White matter HyperIntensities Tissue Extraction using deep learning NetworkSemantic proximity Read

Norms for Automatic Estimation of White Matter Hyperintensities Burden: LST-AI Service in NeuGRIDSemantic proximity Read

White Matter Hyperintensity Quantification in Large-Scale Clinical Acute Ischemic Stroke Cohorts – The MRI-GENIE StudySemantic proximity Read

A deep learning framework for comprehensive segmentation of deep grey nucleiSemantic proximity Read

MAESTRO: A Public, Generalizable Model for Stroke Lesion Segmentation from T1 MRI Across the Recovery ContinuumSemantic proximity Read

Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentationSemantic proximity Read

Deep learning-based detection and segmentation of diffusion abnormalities in acute ischemic strokeSemantic proximity Read

Lesion aware automated processing pipeline for multimodal neuroimaging stroke data and The Virtual Brain (TVB)Semantic proximity Read

Multi-model Segmentation and Morphometric Quantification of Cerebral Amyloid Angiopathy in Alzheimer’s Disease Whole Slide Histopathology ImagesSemantic proximity Read

MRI Radiomic Signature of White Matter Hyperintensities Is Associated with Clinical PhenotypesSemantic proximity Read

segcsvd<sub>PVS</sub>: A convolutional neural network-based tool for quantification of enlarged perivascular spaces (PVS) on T1-weighted imagesSemantic proximity Read