Yalin Wang

发表

Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline

Jie Zhang, Qingyang Li, Richard J. Caselli, 2017, IPMI.

Conformal Slit Mapping and Its Applications to Brain Surface Parameterization

Paul M. Thompson, Yalin Wang, Shing-Tung Yau, 2008, MICCAI.

Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data

Paul M. Thompson, Jieping Ye, Yalin Wang, 2012, NeuroImage.

A machine learning based approach for table detection on the web

Yalin Wang, Jianying Hu, Jianying Hu, 2002, WWW '02.

Table structure understanding and its performance evaluation

Yalin Wang, Robert M. Haralick, Ihsin T. Phillips, 2004, Pattern Recognit..

Teichmüller Shape Space Theory and Its Application to Brain Morphometry

Paul M. Thompson, Arthur W. Toga, Yalin Wang, 2009, MICCAI.

Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance

Jun Yu, Paul M. Thompson, Yalin Wang, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen

Yalin Wang, Natasha Lepore, Marvin D. Nelson, 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.

Optimized Conformal Parameterization of Cortical Surfaces Using Shape Based Matching of Landmark Curves

Lok Ming Lui, Paul M. Thompson, Yalin Wang, 2008, MICCAI.

A concise and persistent feature to study brain resting‐state network dynamics: Findings from the Alzheimer's Disease Neuroimaging Initiative

Yalin Wang, Kewei Chen, Eric M Reiman, 2018, Human brain mapping.

Subcortical shape and volume abnormalities in an elderly HIV+ cohort

Paul M. Thompson, Yalin Wang, Shantanu H. Joshi, 2015, Medical Imaging.

3D Surface Matching with Mutual Information and Riemann Surface Structures

Paul M. Thompson, Yalin Wang, Ming-Chang Chiang, 2005, Computer Graphics and Imaging.

Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular changes in HIV/AIDS

Paul M. Thompson, Arthur W. Toga, Jie Zhang, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Surface parameterization using Riemann surface structure

Paul M. Thompson, Yalin Wang, Shing-Tung Yau, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Intrinsic 3D Dynamic Surface Tracking based on Dynamic Ricci Flow and Teichmüller Map

Yalin Wang, Xiaokang Yu, Xianfeng Gu, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis

Wei Zeng, Yalin Wang, Xianfeng Gu, 2015, IPMI.

Automatic pathology classification using a single feature machine learning support - vector machines

Yalin Wang, Natasha Lepore, Bertrand Thirion, 2014, Medical Imaging.

Combination of Brain Conformal Mapping and Landmarks: A Variational Approach

Lok Ming Lui, Paul M. Thompson, Yalin Wang, 2005, Computer Graphics and Imaging.

Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding

Jie Zhang, Paul M. Thompson, Qingyang Li, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Wavelet-Based Representation of Biological Shapes

Arthur W. Toga, Bin Dong, Yalin Wang, 2009, ISVC.

Shape Analysis with Conformal Invariants for Multiply Connected Domains and its Application to Analyzing Brain Morphology

Paul M. Thompson, Yalin Wang, Xianfeng Gu, 2009, NeuroImage.

Intrinsic brain surface conformal mapping using a variational method

Paul M. Thompson, Yalin Wang, Shing-Tung Yau, 2004, SPIE Medical Imaging.

Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics

Jie Zhang, Richard J. Caselli, Yalin Wang, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Deep-learning-based classification of FDG-PET data for Alzheimer's disease categories

Richard J. Caselli, Yalin Wang, Liang Mi, 2017, Symposium on Medical Information Processing and Analysis.

Algorithm performance contest

Ming Ye, Changming Sun, Yalin Wang, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Characterization of the central sulcus in the brain in early childhood

Yalin Wang, Natasha Lepore, Marvin D. Nelson, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multivariate Tensor-Based Brain Anatomical Surface Morphometry via Holomorphic One-Forms

Paul M. Thompson, Arthur W. Toga, Yalin Wang, 2009, MICCAI.

Disease classification with hippocampal shape invariants

Yalin Wang, Arthur W Toga, Jonathan Morra, 2009, Hippocampus.

Shape matching with medial curves and 1-D group-wise registration

Paul M. Thompson, Arthur W. Toga, Yalin Wang, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Scour Prevention at Bridge Piers

Yalin Wang, A. Jacob Odgaard, A. Odgaard, 1987 .

Brain Surface Conformal Parameterization Using Riemann Surface Structure

Lok Ming Lui, Paul M. Thompson, Arthur W. Toga, 2007, IEEE Transactions on Medical Imaging.

Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus

Paul M. Thompson, Yalin Wang, Jie Shi, 2013, NeuroImage.

Brain Surface Conformal Parameterization with Algebraic Functions

Paul M. Thompson, Yalin Wang, Shing-Tung Yau, 2006, MICCAI.

Modeling Dynamic Cellular Morphology in Images

Yalin Wang, Ning Li, Zhiwen Liu, 2012, MICCAI.

Shape Analysis with Hyperbolic Wasserstein Distance

Yalin Wang, Wen Zhang, Jie Shi, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline

Paul M. Thompson, Jie Zhang, Qingyang Li, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Table Detection via Probability Optimization

Yalin Wang, Robert M. Haralick, Ihsin T. Phillips, 2002, Document Analysis Systems.

Area Preserving Brain Mapping

Wei Zeng, Yalin Wang, Jian Sun, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment

Paul M. Thompson, Jie Zhang, Qingyang Li, 2016, MICCAI.

Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices pdf

Jie Zhang, Dawei Li, Xiaolong Wang, 2018, IJCAI.

Multi-scale Heat Kernel Based Volumetric Morphology Signature

Gang Wang, Yalin Wang, Yalin Wang, 2015, MICCAI.

Document zone content classification and its performance evaluation

Yalin Wang, Robert M. Haralick, Ihsin T. Phillips, 2006, Pattern Recognit..

Brain Surface Conformal Parameterization With the Ricci Flow

Paul M. Thompson, Yalin Wang, Shing-Tung Yau, 2012, IEEE Transactions on Medical Imaging.

Volumetric Harmonic Map

Yalin Wang, Shing-Tung Yau, Xianfeng Gu, 2003, Commun. Inf. Syst..

Multiple Stages Classification of Alzheimer’s Disease Based on Structural Brain Networks Using Generalized Low Rank Approximations (GLRAM)

Paul M. Thompson, Jieping Ye, Yalin Wang, 2014, MICCAI 2014.

Hyperbolic Wasserstein Distance for Shape Indexing

Yalin Wang, Jie Shi, Yalin Wang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Medial demons registration localizes the degree of genetic influence over subcortical shape variability: An N= 1480 meta-analysis

Paul M. Thompson, Yalin Wang, Thomas E. Nichols, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Multi-source learning with block-wise missing data for Alzheimer's disease prediction

Paul M. Thompson, Jieping Ye, Yalin Wang, 2013, KDD.

Teichmüller Shape Descriptor and Its Application to Alzheimer’s Disease Study

Wei Zeng, Yalin Wang, Shing-Tung Yau, 2013, International Journal of Computer Vision.

Automated Surface Matching Using Mutual Information Applied to Riemann Surface Structures

Paul M. Thompson, Yalin Wang, Ming-Chang Chiang, 2005, MICCAI.

Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry

Paul M. Thompson, Richard J. Caselli, Yalin Wang, 2015, NeuroImage.

Detecting Tables in HTML Documents

Yalin Wang, Jianying Hu, Jianying Hu, 2002, Document Analysis Systems.

Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures

Jie Zhang, Paul M. Thompson, Qingyang Li, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Statistical-based approach to word segmentation

Yalin Wang, Robert M. Haralick, Ihsin T. Phillips, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Surface Segmentation Using Global Conformal Structure

Yalin Wang, Shing-Tung Yau, Xianfeng Gu, 2004, Commun. Inf. Syst..

Impact of Early and Late Visual Deprivation on the Structure of the Corpus Callosum: A Study Combining Thickness Profile with Surface Tensor-Based Morphometry

Gang Wang, Yalin Wang, Liang Xu, 2015, Neuroinformatics.

Zone content classification and its performance evaluation

Yalin Wang, Robert M. Haralick, Ihsin T. Phillips, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis

Gang Wang, Yalin Wang, Natasha Lepore, 2018, MICCAI.

Bi-level multi-source learning for heterogeneous block-wise missing data

Paul M. Thompson, Jieping Ye, Yalin Wang, 2014, NeuroImage.

Contribution to speech development of the right anterior putamen revealed with multivariate tensor-based morphometry

Yalin Wang, Natasha Lepore, Marvin D. Nelson, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features

Michael Weiner, Paul M. Thompson, Arthur W. Toga, 2013, NeuroImage.

Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions pdf

Paul M. Thompson, Qingyang Li, Jieping Ye, 2016, MICCAI.

Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis

Paul M. Thompson, Arthur W. Toga, Jieping Ye, 2013, NeuroImage.

Multivariate Tensor-based Morphometry on Surfaces: Application to Mapping Ventricular Abnormalities in Hiv/aids Mapping Methods Have Revealed the 3d Profile of Structural Brain

Paul M. Thompson, Arthur W. Toga, Jie Zhang, 2022 .

A Study on the Document Zone Content Classification Problem

Yalin Wang, Robert M. Haralick, Ihsin T. Phillips, 2002, Document Analysis Systems.

Bayesian automated cortical segmentation for neonatal MRI

Bilwaj Gaonkar, Luke Macyszyn, Yalin Wang, 2017, Symposium on Medical Information Processing and Analysis.

SEDIMENT CONTROL IN BRIDGE WATERWAYS

Yalin Wang, A. Jacob Odgaard, A. Odgaard, 1990 .

An Optimal Transportation Based Univariate Neuroimaging Index

Yalin Wang, Liang Mi, Wen Zhang, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Human Brain Mapping with Conformal Geometry and Multivariate Tensor-Based Morphometry

Paul M. Thompson, Yalin Wang, Jie Shi, 2011, MBIA.

Characterizing human retinotopic mapping with conformal geometry: a preliminary study

Yalin Wang, Jie Shi, Zhonglin Lu, 2014, Medical Imaging.

A method for document zone content classification

Yalin Wang, Robert M. Haralick, Ihsin T. Phillips, 2002, Object recognition supported by user interaction for service robots.

Hydraulic Modeling of Fish Screens

Yalin Wang, Rex A. Elder, Marc L. Serre, 1993 .

Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data

Paul M. Thompson, Jieping Ye, Yalin Wang, 2012, KDD.

Surface-based Tbm Boosts Power to Detect Disease Effects on the Brain: an N = 804 Adni Study ☆ and the Alzheimer's Disease Neuroimaging Initiative

Yang Song, Paul M. Thompson, Arthur W. Toga, 2022 .

Computing Conformal Invariants: Period Matrices

Yalin Wang, Shing-Tung Yau, Xianfeng Gu, 2003, Commun. Inf. Syst..

Volumetric harmonic brain mapping

Paul M. Thompson, Yalin Wang, Shing-Tung Yau, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Central sulcus development in early childhood

Yalin Wang, Natasha Lepore, Marvin D. Nelson, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Conformal mapping of nuclei in 3D tomographic cell images to assess shape heterogeneity

Yalin Wang, Roger H. Johnson, Xing An, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Variational Wasserstein Clustering

Yalin Wang, Liang Mi, Wen Zhang, 2018, ECCV.

Automatic landmark tracking applied to optimize brain conformal mapping

Lok Ming Lui, Paul M. Thompson, Yalin Wang, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer’s Disease

Jie Zhang, Richard J. Caselli, Yalin Wang, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Optimized Conformal Surface Registration with Shape-based Landmark Matching

Lok Ming Lui, Paul M. Thompson, Yalin Wang, 2010, SIAM J. Imaging Sci..

Computation of curvatures using conformal parameterization

Lok Ming Lui, Yalin Wang, Shing-Tung Yau, 2008, Commun. Inf. Syst..

Mutual information-based 3D surface matching with applications to face recognition and brain mapping

Paul M. Thompson, Yalin Wang, Ming-Chang Chiang, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Statistical analysis of relative pose of the thalamus in preterm neonates.

Yalin Wang, Natasha Lepore, Marvin D. Nelson, 2013, Clinical image-based procedures : from planning to intervention : international workshop, CLIP ..., held in conjunction with MICCAI ... : revised selected papers. CLIP.

Optimal global conformal surface parameterization

Yalin Wang, Shing-Tung Yau, Xianfeng Gu, 2004, IEEE Visualization 2004.

Conformal invariants for multiply connected surfaces: Application to landmark curve‐based brain morphometry analysis☆

Richard J. Caselli, Yalin Wang, Wen Zhang, 2017, Medical Image Anal..

A T1 and DTI fused 3D corpus callosum analysis in pre- vs. post-season contact sports players

Yalin Wang, Meng Law, Niharika Gajawelli, 2015, Other Conferences.

Automatic table ground truth generation and a background-analysis-based table structure extraction method

Yalin Wang, Robert M. Haralick, Ihsin T. Phillips, 2001, Proceedings of Sixth International Conference on Document Analysis and Recognition.

Sediment Management with Submerged Vanes

Yalin Wang, A. Jacob Odgaard, A. Odgaard, 1990 .

Brain surface conformal parameterization with the slit mapping

Paul M. Thompson, Yalin Wang, Shing-Tung Yau, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

3D pre- versus post-season comparisons of surface and relative pose of the corpus callosum in contact sport athletes

Yalin Wang, Natasha Lepore, Meng Law, 2014, Medical Imaging.

Brain Morphometry Analysis with Surface Foliation Theory

Yalin Wang, Wen Zhang, Ming Ma, 2018, Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference.

Hyperbolic Harmonic Mapping for Constrained Brain Surface Registration

Wei Zeng, Yalin Wang, Shing-Tung Yau, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Cranial thickness changes in early childhood

Yalin Wang, Natasha Lepore, Marvin D. Nelson, 2017, Symposium on Medical Information Processing and Analysis.

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression pdf

Paul M. Thompson, Jie Zhang, Qingyang Li, 2017, ArXiv.

Solving PDEs on Manifolds with Global Conformal Parametriazation

Lok Ming Lui, Yalin Wang, Tony F. Chan, 2005, VLSM.

Hyperbolic Harmonic Brain Surface Registration with Curvature-Based Landmark Matching

Wei Zeng, Yalin Wang, Shing-Tung Yau, 2013, IPMI.

Optimal Mass Transport for Shape Matching and Comparison

Wei Zeng, Yalin Wang, Jian Sun, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Landmark-Based Brain Conformal Parametrization with Automatic Landmark Tracking Technique

Lok Ming Lui, Paul M. Thompson, Yalin Wang, 2006, MICCAI.

Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry

Paul M. Thompson, Yalin Wang, Jie Shi, 2012, MBIA.

Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening

Paul M. Thompson, Li Liu, Jieping Ye, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Wet grindability of an industrial ore and its breakage parameters estimation using population balances

Yalin Wang, Weihua Gui, Chunhua Yang, 2011 .

Automatic Landmark Tracking and its Application to the Optimization of Brain Conformal Mapping

Lok Ming Lui, Paul M. Thompson, Yalin Wang, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

A Heat Kernel Based Cortical Thickness Estimation Algorithm

Gang Wang, Yalin Wang, Lili Wang, 2013, MBIA.

Hyperbolic Harmonic Mapping for Surface Registration

Wei Zeng, Yalin Wang, Shing-Tung Yau, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Brain Surface Parameterization Using Riemann Surface Structure

Paul M. Thompson, Yalin Wang, Shing-Tung Yau, 2005, MICCAI.

Hippocampal Surface Analysis Using Spherical Harmonic Function Applied to Surface Conformal Mapping

Lok Ming Lui, Paul M. Thompson, Yalin Wang, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

A novel cortical thickness estimation method based on volumetric Laplace-Beltrami operator and heat kernel

Gang Wang, Richard J. Caselli, Yalin Wang, 2015, Medical Image Anal..

Shape analysis with multivariate tensor-based morphometry and holomorphic differentials

Paul M. Thompson, Arthur W. Toga, Yalin Wang, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso

Jiayu Zhou, Jieping Ye, Yalin Wang, 2014, Medical Imaging.

Studying brain morphometry using conformal equivalence class

Paul M. Thompson, Arthur W. Toga, Yalin Wang, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Multimodal Fusion of Brain Networks with Longitudinal Couplings

Huan Liu, Yalin Wang, Wen Zhang, 2018, MICCAI.

Genus zero surface conformal mapping and its application to brain surface mapping

Paul M. Thompson, Yalin Wang, Shing-Tung Yau, 2004, IEEE Transactions on Medical Imaging.

Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons

Paul M. Thompson, Richard J. Caselli, Yalin Wang, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Multivariate surface-based analysis of corpus callosum in patients with sickle cell disease

Yalin Wang, Natasha Lepore, Yaqiong Chai, 2017, Symposium on Medical Information Processing and Analysis.

BRAIN SURFACE CONFORMAL PARAMETERIZATION

Paul M. Thompson, Yalin Wang, Shing-Tung Yau, 2022 .

Optimization of Brain Conformal Mapping with Landmarks

Lok Ming Lui, Paul M. Thompson, Yalin Wang, 2005, MICCAI.

Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images pdf

Jie Zhang, Qingyang Li, Richard J. Caselli, 2017, ArXiv.

Hippocampal surface discrimination via invariant descriptors of spherical conformals maps

Lok Ming Lui, Paul M. Thompson, Yalin Wang, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.