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Unified heat kernel regression for diffusion, kernel smoothing and wavelets on manifolds and its application to mandible growth modeling in CT images

https://doi.org/10.1016/j.media.2015.02.003
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Global Medical Shape Analysis Using the Laplace-Beltrami Spectrum
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Harmonic Surface Mapping with Laplace-Beltrami Eigenmaps
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Heat Kernel Smoothing Using Laplace-Beltrami Eigenfunctions
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Discrete Differential Geometry
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Partial Differential Equations
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Hierarchical Shape Segmentation and Registration via Topological Features of Laplace-Beltrami Eigenfunctions
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Wavelets on graphs via spectral graph theory
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Evaluating the mandible with cone-beam computed tomography
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Unified univariate and multivariate random field theory
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Cortical thickness analysis examined through power analysis and a population simulation
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Increased local gyrification mapped in Williams syndrome
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Smoothing and cluster thresholding for cortical surface-based group analysis of fMRI data
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Diffeomorphic metric surface mapping in subregion of the superior temporal gyrus
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Spatial accuracy of fMRI activation influenced by volume- and surface-based spatial smoothing techniques
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Structure-specific statistical mapping of white matter tracts
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Multi-structure network shape analysis via normal surface momentum maps
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The emerging discipline of Computational Functional Anatomy
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Multi-manifold diffeomorphic metric mapping for aligning cortical hemispheric surfaces
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Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular abnormalities in HIV/AIDS
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Locally Linear Diffeomorphic Metric Embedding (LLDME) for surface-based anatomical shape modeling
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Wavelet kernel learning
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Diffusion smoothing on the cortical surface
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A generic framework for the parcellation of the cortical surface into gyri using geodesic Voronoı diagrams
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The Laplacian on a Riemannian Manifold
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Kernel Methods for Pattern Analysis
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Growth of the mandible during pubescence.
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Variational problems on flows of diffeomorphisms for image matching
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Essentials of Facial Growth
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Surface-bounded growth modeling applied to human mandibles
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STATISTICAL SHAPE ANALYSIS OF BRAIN STRUCTURES USING SPHERICAL WAVELETS
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Laplace-Beltrami eigenfunction expansion of cortical manifolds
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Spectral Mesh Processing
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Detecting activation in fMRI data
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Topological inference for EEG and MEG
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Sharp explicit lower bounds of heat kernels
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4 Partial differential equations
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Topological Noise Removal
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The Geometry of Random Fields.
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Geometric Signal Processing on Polygonal Meshes
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Spectral Methods for Mesh Processing and Analysis
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A surface-based approach for classification of 3D neuroanatomic structures
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Discrete Differential Geometry
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Statistical morphometry in Neuroanatomy

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Reliable and Autonomy-Enabled Collaborative Medical Prediction System Using Distributed Learning
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Growth and sexual dimorphism of the hyoid bone and its relationship to the mandible from birth to 19 years: A three‐dimensional computed tomography study
inferred← citeshttps://doi.org/10.1007/978-3-030-32251-9_6openalex-snapshot
Fast Polynomial Approximation to Heat Diffusion in Manifolds
inferred← citeshttps://doi.org/10.1007/978-3-030-32520-6_42openalex-snapshot
K-means Principal Geodesic Analysis on Riemannian Manifolds
inferred← citeshttps://doi.org/10.1007/978-3-030-33226-6_21openalex-snapshot
Mixture Probabilistic Principal Geodesic Analysis
inferred← citeshttps://doi.org/10.1007/978-3-030-33416-1_12openalex-snapshot
Heat Kernel Smoothing on Manifolds and Its Application to Hyoid Bone Growth Modeling
inferred← citeshttps://doi.org/10.1007/978-3-032-37595-7_17openalex-snapshot
Heat Kernel Textures the Geodesic Gaussians That Do Not Splat
inferred← citeshttps://doi.org/10.1007/978-3-319-66185-8_82openalex-snapshot
Online Statistical Inference for Large-Scale Binary Images
inferred← citeshttps://doi.org/10.1007/978-3-319-67159-8_16openalex-snapshot
Topological Network Analysis of Electroencephalographic Power Maps
inferred← citeshttps://doi.org/10.1007/s00521-021-06006-6openalex-snapshot
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace–Beltrami spectral filtering
inferred← citeshttps://doi.org/10.1007/s10489-022-03492-6openalex-snapshot
Robust kernel ensemble regression in diversified kernel space with shared parameters
inferred← citeshttps://doi.org/10.1007/s11222-023-10288-2openalex-snapshot
Penalized model-based clustering of complex functional data
inferred← citeshttps://doi.org/10.1007/s11548-016-1451-yopenalex-snapshot
Planning of mandibular reconstructions based on statistical shape models
inferred← citeshttps://doi.org/10.1007/s11760-016-1013-3openalex-snapshot
Single image dehazing using kernel regression model and dark channel prior
inferred← citeshttps://doi.org/10.1016/j.archoralbio.2017.01.018openalex-snapshot
Characterizing mandibular growth using three-dimensional imaging techniques and anatomic landmarks
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.108455openalex-snapshot
An open-source, three-dimensional growth model of the mandible
inferred← citeshttps://doi.org/10.1016/j.media.2021.102123openalex-snapshot
Tetrahedral spectral feature-Based bayesian manifold learning for grey matter morphometry: Findings from the Alzheimer’s disease neuroimaging initiative
inferred← citeshttps://doi.org/10.1016/j.neunet.2021.05.025openalex-snapshot
Fast mesh data augmentation via Chebyshev polynomial of spectral filtering
inferred← citeshttps://doi.org/10.1017/9781316882610openalex-snapshot
Brain Network Analysis
inferred← citeshttps://doi.org/10.1017/9781316882610.001openalex-snapshot
Preface
inferred← citeshttps://doi.org/10.1017/9781316882610.002openalex-snapshot
Statistical Preliminary
inferred← citeshttps://doi.org/10.1017/9781316882610.003openalex-snapshot
Brain Network Nodes and Edges
inferred← citeshttps://doi.org/10.1017/9781316882610.004openalex-snapshot
Graph Theory
inferred← citeshttps://doi.org/10.1017/9781316882610.005openalex-snapshot
Correlation Networks
inferred← citeshttps://doi.org/10.1017/9781316882610.006openalex-snapshot
Big Brain Network Data
inferred← citeshttps://doi.org/10.1017/9781316882610.007openalex-snapshot
Network Simulations
inferred← citeshttps://doi.org/10.1017/9781316882610.008openalex-snapshot
Persistent Homology
inferred← citeshttps://doi.org/10.1017/9781316882610.009openalex-snapshot
Diffusions on Graphs
inferred← citeshttps://doi.org/10.1017/9781316882610.010openalex-snapshot
Sparse Networks
inferred← citeshttps://doi.org/10.1017/9781316882610.011openalex-snapshot
Brain Network Distances
inferred← citeshttps://doi.org/10.1017/9781316882610.012openalex-snapshot
Combinatorial Inferences for Networks
inferred← citeshttps://doi.org/10.1017/9781316882610.013openalex-snapshot
Series Expansion of Connectivity Matrices
inferred← citeshttps://doi.org/10.1017/9781316882610.014openalex-snapshot
Dynamic Network Models
inferred← citeshttps://doi.org/10.1017/9781316882610.015openalex-snapshot
Bibliography
inferred← citeshttps://doi.org/10.1017/9781316882610.016openalex-snapshot
Index
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DESPOT: Direction-Enhanced Scoring POTentials for Scoring of Protein–Ligand Interactions
inferred← citeshttps://doi.org/10.1038/s41598-021-98421-xopenalex-snapshot
A three-dimensional statistical shape model of the growing mandible
inferred← citeshttps://doi.org/10.1080/10618600.2026.2670661openalex-snapshot
Low-Rank Neural Regression Models for Spatial Data on Complex Domains
inferred← citeshttps://doi.org/10.1093/jrsssb/qkae023openalex-snapshot
Interpretable discriminant analysis for functional data supported on random nonlinear domains with an application to Alzheimer’s disease
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A Novel Registration-Based Semiautomatic Mandible Segmentation Pipeline Using Computed Tomography Images to Study Mandibular Development
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Discrete Heat Kernel Smoothing in Irregular Image Domains
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Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise
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Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis
inferred← citeshttps://doi.org/10.1109/tsipn.2019.2936358openalex-snapshot
Predicting Graph Signals Using Kernel Regression Where the Input Signal is Agnostic to a Graph
inferred← citeshttps://doi.org/10.1117/1.jei.25.4.043003openalex-snapshot
Single image dehazing algorithm using wavelet decomposition and fast kernel regression model
inferred← citeshttps://doi.org/10.1214/21-sts825openalex-snapshot
Diffusion Smoothing for Spatial Point Patterns
inferred← citeshttps://doi.org/10.3390/app10041223openalex-snapshot
Analysis of the Quantization Noise in Discrete Wavelet Transform Filters for 3D Medical Imaging
inferred← citeshttps://doi.org/10.3390/books978-3-0365-1475-8openalex-snapshot
Mathematics and Digital Signal Processing
inferred← citeshttps://doi.org/10.3390/diagnostics13061111openalex-snapshot
Noise Reduction Using Singular Value Decomposition with Jensen–Shannon Divergence for Coronary Computed Tomography Angiography
inferred← citeshttps://doi.org/10.3390/e24070951openalex-snapshot
Lossless Medical Image Compression by Using Difference Transform
inferred← citeshttps://doi.org/10.3390/s18072379openalex-snapshot
Fast Feature-Preserving Approach to Carpal Bone Surface Denoising
inferred← citeshttps://doi.org/10.48550/arxiv.2102.08623openalex-snapshot
Reviews: Topological Distances and Losses for Brain Networks
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