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A study on the predictive strength of fractal dimension of white and grey matter on MRI images in Alzheimer’s disease
Many recent studies have shown that Fractal Dimension (FD), a ratio for figuring out the complexity of a system given its measurements, can be used...
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BundleSeg: A Versatile, Reliable and Reproducible Approach to White Matter Bundle Segmentation
This work presents BundleSeg, a reliable, reproducible, and fast method for extracting white matter pathways. The proposed method combines an...
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FASSt: Filtering via Symmetric Autoencoder for Spherical Superficial White Matter Tractography
Superficial white matter (SWM) plays an important role in functioning of the human brain, and it contains a large amount of cortico-cortical...
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Automatic Fast and Reliable Recognition of a Small Brain White Matter Bundle
Large diffusion MRI datasets provide the statistical power necessary to model complex effects in the white matter. They also motivate the need for...
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Abstract: Semi-automatic White Matter Tract Segmentation using Active Learning atTRACTive
Accurately identifying white matter tracts in medical images is essential for various applications, including surgery planning. Supervised machine...
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atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning
Accurately identifying white matter tracts in medical images is essential for various applications, including surgery planning and tract-specific...
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ReTrace: Topological Evaluation of White Matter Tractography Algorithms Using Reeb Graphs
We present ReTrace, a novel graph matching-based topological evaluation and validation method for tractography algorithms. ReTrace uses a Reeb graph...
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White Matter Maturation and Hemispheric Asymmetry During Childhood Based on Chinese Population
Influences of age and hemispheric asymmetry are important to white matter (WM) development, which are related with cognitive function development...
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Brain hyperintensities: automatic segmentation of white matter hyperintensities in clinical brain MRI images using improved deep neural network
White matter hyperintensities (WMH) are commonly found in the brains of healthy elderly individuals and have been associated with various...
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Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI
White matter hyperintensities (WMH) and ischaemic stroke lesions are frequently seen on brain magnetic resonance images (MRI) of people with cerebral...
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3D finite-element brain modeling of lateral ventricular wall loading to rationalize periventricular white matter hyperintensity locations
Aging-related periventricular white matter hyperintensities (pvWMHs) are a common observation in medical images of the aging brain. The underlying...
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Leveraging Self-attention Mechanism in Vision Transformers for Unsupervised Segmentation of Optical Coherence Microscopy White Matter Images
A new microscope has been created to capture detailed images of the brain using a technology called optical coherence microscopy (OCM). However,...
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Advanced Diffusion MRI Modeling Sheds Light on FLAIR White Matter Hyperintensities in an Aging Cohort
White matter hyperintensities (WMH) in fluid-attenuated inversion recovery (FLAIR) imaging are used as an indicator of clinical conditions ranging...
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Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans
In the presence of cardiovascular disease and neurodegenerative disorders, the white matter of the brains of clinical study participants often...
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Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning
Accurate segmentation of punctate white matter lesions (PWMLs) are fundamental for the timely diagnosis and treatment of related developmental...
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Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI
Pre-surgical map** of white matter (WM) tracts requires specific neuroanatomical knowledge and a significant amount of time. Currently,...
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Proper Scoring Loss Functions Are Simple and Effective for Uncertainty Quantification of White Matter Hyperintensities
Uncertainty quantification is an important tool for improving the trustworthiness and clinical usefulness of medical imaging segmentation models, and...
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Shape-Based Features of White Matter Fiber-Tracts Associated with Outcome in Major Depression Disorder
Major depression is a leading cause of disability due to its trend to recurrence and treatment resistance. Currently, there are no biomarkers which...
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Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap
White matter (WM) tract segmentation is a crucial step for brain connectivity studies. It is performed on diffusion magnetic resonance...
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White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning
White matter tract microstructure has been shown to influence neuropsychological scores of cognitive performance. However, prediction of these scores...