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A Survey of Statistical Learning Techniques as Applied to Inexpensive Pediatric Obstructive Sleep Apnea Data
Pediatric obstructive sleep apnea affects an estimated 1–5% of elementary-school aged children and can lead to additional health problems. Swift...
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Improving Tractography Accuracy Using Dynamic Filtering
Based on diffusion-weighted magnetic resonance imaging Diffusion MRIdata, tractographyTractography allows studying the complex structure of the brain...
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Exploring DTI Benchmark Databases Through Visual Analytics
Diffusion MRI studies include tests on standardised phantoms and measurements on the output images to assess and benchmark the imaging system. These...
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Direct Reconstruction of Crossing Muscle Fibers in the Human Tongue Using a Deep Neural Network
The human tongue is made entirely of muscle fibers that either group in a single direction or cross orthogonally in pairs. Reconstructing the muscle...
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Diffusion MRI Fiber Orientation Distribution Function Estimation Using Voxel-Wise Spherical U-Net
Diffusion Magnetic Resonance Imaging (dMRI) is an imaging technique which enables analysis of the brain tissue at a microscopic scale, particularly...
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Learning Anatomical Segmentations for Tractography from Diffusion MRI
Deep learningDeep learning approaches for diffusion MRI have so far focused primarily on voxel-based segmentation of lesions or white-matter fiber...
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Image Reconstruction from Accelerated Slice-Interleaved Diffusion Encoding Data
We present a reconstruction scheme for diffusion MRI data acquired using slice-interleaved diffusion encoding (SIDE). We show that, when combined...
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Manifold-Aware CycleGAN for High-Resolution Structural-to-DTI Synthesis
Unpaired image-to-image translation has been applied successfully to natural images but has received very little attention for manifold-valued data...
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Diffeomorphic Alignment of Along-Tract Diffusion Profiles from Tractography
Along-tract diffusion measure profiles from white matter fiber tracts have been widely analyzed in population studies of neurodevelopment and...
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Deep Learning Model Fitting for Diffusion-Relaxometry: A Comparative Study
Quantitative Magnetic Resonance Imaging (qMRIQuantitative MRI) signalSignal model fittingModel fitting is traditionally performed via non-linear...
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Advances in Data Science
This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry...
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Interactive Data Processing and 3D Visualization of the Solid Earth
This book presents works detailing the application of processing and visualization techniques for analyzing the Earth’s subsurface. The topic of the...
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A Signal Peak Separation Index for Axisymmetric B-Tensor Encoding
Diffusion-weighted MRI (DW-MRI) has recently seen a rising interest in planar, spherical and general B-tensor encodings. Some of these sequences have...
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Two Parallel Stages Deep Learning Network for Anterior Visual Pathway Segmentation
The segmentation of the anterior visual pathway(AVP) from MRI sequences is challenging because of the thin long architecture, structural variations...
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Repeatability of Soma and Neurite Metrics in Cortical and Subcortical Grey Matter
Diffusion magnetic resonance imaging is a technique which has long been used to study white matter microstructure in vivo. Recent advancements in...
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DW-MRI Microstructure Model of Models Captured Via Single-Shell Bottleneck Deep Learning
In the last two decades, numerous methods have been proposed to capture biological meaning from observed diffusion-weighted magnetic resonance...
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Enhancing Diffusion Signal Augmentation Using Spherical Convolutions
The application of deep learningDeep learning in the field of diffusion imagingDiffusion imaging is becoming increasingly popular. However,...
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Hybrid Graph Convolutional Neural Networks for Super Resolution of DW Images
Deep learning based super-resolution has been proved as a promising technique in increasing the resolution of Diffusion-weighted (DW) images, which...
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Pretraining Improves Deep Learning Based Tissue Microstructure Estimation
Diffusion magnetic resonance imaging (dMRI) is commonly used to noninvasively estimate brain tissue microstructure, which provides important...
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Multi-modal Brain Age Estimation: A Comparative Study Confirms the Importance of Microstructure
Brain age inferred from neuroimaging data could reveal important information about the evolution of structural and functional cerebral features...