25 Result(s)
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Chapter and Conference Paper
Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks
Generating accurate 3D models from cone-beam computed tomography (CBCT) images is an important step in develo** treatment plans for patients with craniomaxillofacial (CMF) deformities. This process often inv...
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Chapter and Conference Paper
Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson’s Disease
Parkinson’s disease (PD) is a major progressive neurodegenerative disorder. Accurate diagnosis of PD is crucial to control the symptoms appropriately. However, its clinical diagnosis mostly relies on the subje...
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Chapter and Conference Paper
Two-Stage Simulation Method to Improve Facial Soft Tissue Prediction Accuracy for Orthognathic Surgery
It is clinically important to accurately predict facial soft tissue changes prior to orthognathic surgery. However, the current simulation methods are problematic, especially in clinically critical regions. We...
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Chapter and Conference Paper
Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation
In diffusion MRI, the outcome of estimation problems can often be improved by taking into account the correlation of diffusion-weighted images scanned with neighboring wavevectors in q-space. For this purpose, we...
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Chapter and Conference Paper
Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification
Analysis of brain functional connectivity network (BFCN) has shown great potential in understanding brain functions and identifying biomarkers for neurological and psychiatric disorders, such as Alzheimer’s di...
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Chapter and Conference Paper
Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification
Functional magnetic resonance imaging (fMRI) provides a non-invasive way to investigate brain activity. Recently, convergent evidence shows that the correlations of spontaneous fluctuations between two distinc...
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Chapter and Conference Paper
Automated Three-Piece Digital Dental Articulation
In craniomaxillofacial (CMF) surgery, a critical step is to reestablish dental occlusion. Digitally establishing new dental occlusion is extremely difficult. It is especially true when the maxilla is segmental...
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Chapter and Conference Paper
Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties
Diffusion magnetic resonance imaging (DMRI) is a powerful imaging modality due to its unique ability to extract microstructural information by utilizing restricted diffusion to probe compartments that are much...
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Chapter and Conference Paper
Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization
Spherical deconvolution (SD) of the white matter (WM) diffusion-attenuated signal with a fiber signal response function has been shown to yield high-quality estimates of fiber orientation distribution function...
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Chapter and Conference Paper
Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification
We present a method for automated brain tissue segmentation based on diffusion MRI. This provides information that is complementary to structural MRI and facilitates fusion of information between the two imagi...
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Chapter and Conference Paper
Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases
Brain atlases are an integral component of neuroimaging studies. However, most brain atlases are fuzzy and lack structural details, especially in the cortical regions. In particular, neonatal brain atlases are...
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Chapter and Conference Paper
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model
Craniomaxillofacial (CMF) deformities involve congenital and acquired deformities of the head and face. Landmark digitization is a critical step in quantifying CMF deformities. In current clinical practice, CM...
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Chapter and Conference Paper
Brain Connectivity Hyper-Network for MCI Classification
Brain connectivity network has been used for diagnosis and classification of neurodegenerative diseases, such as Alzheimer’s disease (AD) as well as its early stage, i.e., mild cognitive impairment (MCI). Howe...
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Chapter and Conference Paper
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis
Combining multi-modality brain data for disease diagnosis commonly leads to improved performance. A challenge in using multi-modality data is that the data are commonly incomplete; namely, some modality might ...
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Chapter and Conference Paper
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization
We seek to compute a diffeomorphic map between a pair of diffusion-weighted images under large deformation. Unlike existing techniques, our method allows any diffusion model to be fitted after registration for su...
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Chapter and Conference Paper
Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer’s Disease
Accurate diagnosis of Alzheimer’s disease (AD), as well as its prodromal stage (i.e., mild cognitive impairment, MCI), is very important for possible delay and early treatment of the disease. Recently, multi-m...
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Chapter and Conference Paper
The Virtual Reality Applied in Construction Machinery Industry
Nowadays, the competition in the construction machinery industry is increasingly fierce. So how to realize the fastest speed to market, best quality, lowest cost, and best service are key factors for enterpris...
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Chapter and Conference Paper
Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI
Due to the difficulties in establishing accurate correspondences of brain network nodes across individual subjects, systematic elucidation of possible functional connectivity (FC) alterations in mild cognitive...
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Chapter and Conference Paper
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images
Registration of Diffusion-weighted imaging (DWI) data emerges as an important topic in magnetic resonance (MR) image analysis. As existing methods are often designed for specific diffusion models, it is diffic...
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Chapter and Conference Paper
Constrained Sparse Functional Connectivity Networks for MCI Classification
Mild cognitive impairment (MCI) is difficult to diagnose due to its subtlety. Recent emergence of advanced network analysis techniques utilizing resting-state functional Magnetic Resonance Imaging (rs-fMRI) ha...
