Yalin Wang

Orcid: 0000-0002-6241-735X

Affiliations:
  • Arizona State University, Tempe, AZ, USA


According to our database1, Yalin Wang authored at least 191 papers between 2000 and 2024.

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Bibliography

2024
Robust PCA with Lw,∗ and L2,1 Norms: A Novel Method for Low-Quality Retinal Image Enhancement.
J. Imaging, July, 2024

Adaptive smoothing of retinotopic maps based on Teichmüller parametrization.
Medical Image Anal., 2024

Adaptive large neighborhood search algorithm with reinforcement search strategy for solving extended cooperative multi task assignment problem of UAVs.
Inf. Sci., 2024

CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement.
CoRR, 2024

Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement.
CoRR, 2024

AMG: Avatar Motion Guided Video Generation.
CoRR, 2024

MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Pre-Training Graph Attention Convolution for Brain Structural Imaging Biomarker Analysis and Its Application to Alzheimer's Disease Pathology Identification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Enhancing 3T Retinotopic Maps Using Diffeomorphic Registration.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Computer Vision - ECCV 2024, 2024

nnMobileNet: Rethinking CNN for Retinopathy Research.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OmniMotionGPT: Animal Motion Generation with Limited Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Correlation Studies of Hippocampal Morphometry and Plasma NFL Levels in Cognitively Unimpaired Subjects.
IEEE Trans. Comput. Soc. Syst., December, 2023

OTFPF: Optimal transport based feature pyramid fusion network for brain age estimation.
Inf. Fusion, December, 2023

Signed graph representation learning for functional-to-structural brain network mapping.
Medical Image Anal., 2023

SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification.
CoRR, 2023

PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers.
CoRR, 2023

NNMobile-Net: Rethinking CNN Design for Deep Learning-Based Retinopathy Research.
CoRR, 2023

A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry.
CoRR, 2023

Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Automated Segmentation of the Hippocampus in Pediatric Imaging.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Characterizing visual cortical magnification with topological smoothing and optimal transportation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Beyond MobileNet: An Improved MobileNet for Retinal Diseases.
Proceedings of the Myopic Maculopathy Analysis, 2023

Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Prediction of Spherical Equivalent with Vanilla ResNet.
Proceedings of the Myopic Maculopathy Analysis, 2023

Optimal Transport Guided Unsupervised Learning for Enhancing Low-Quality Retinal Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

SFCNEXT: A Simple Fully Convolutional Network for Effective Brain Age Estimation with Small Sample Size.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing.
Proceedings of the Information Processing in Medical Imaging, 2023

TetCNN: Convolutional Neural Networks on Tetrahedral Meshes.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning.
Neuroinformatics, 2022

Corrigendum to 'Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping' [Medical Image Analysis Volume 75 (2022) 102230].
Medical Image Anal., 2022

Quantitative characterization of the human retinotopic map based on quasiconformal mapping.
Medical Image Anal., 2022

Improved Prediction of Beta-Amyloid and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding.
CoRR, 2022

Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation.
CoRR, 2022

Functional2Structural: Cross-Modality Brain Networks Representation Learning.
CoRR, 2022

OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt.
CoRR, 2022

Geometry-Aware Hierarchical Bayesian Learning on Manifolds.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Investigating the Effect of Tau Deposition and Apoe on Hippocampal Morphometry in Alzheimer's Disease: A Federated Chow Test Model.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images.
IEEE Trans. Medical Imaging, 2021

Topology-preserving smoothing of retinotopic maps.
PLoS Comput. Biol., 2021

Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition.
Medical Image Anal., 2021

Tetrahedral spectral feature-Based bayesian manifold learning for grey matter morphometry: Findings from the Alzheimer's disease neuroimaging initiative.
Medical Image Anal., 2021

Predicting future cognitive decline with hyperbolic stochastic coding.
Medical Image Anal., 2021

Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy.
CoRR, 2021

Topological Receptive Field Model for Human Retinotopic Mapping.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Cortical Morphometry Analysis Based on Worst Transportation Theory.
Proceedings of the Information Processing in Medical Imaging, 2021

Cortical Surface Shape Analysis Based on Alexandrov Polyhedra.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Learning on SDF for Classifying Brain Biomarkers.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Hyperbolic Wasserstein Distance for Shape Indexing.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Computing Univariate Neurodegenerative Biomarkers with Volumetric Optimal Transportation: A Pilot Study.
Neuroinformatics, 2020

Variational Wasserstein Barycenters for Geometric Clustering.
CoRR, 2020

Regularize, Expand and Compress: NonExpansive Continual Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Deep Representation Learning for Multimodal Brain Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic Mapping.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Convolutional Bayesian Models for Anatomical Landmarking on Multi-dimensional Shapes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Multimodal Brain Network Learning for Joint Analysis of Structural Morphometry and Functional Connectivity.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Temporally Adaptive-Dynamic Sparse Network for Modeling Disease Progression.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Diffeomorphic Smoothing for Retinotopic Mapping.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Diffeomorphic Registration for Retinotopic Mapping Via Quasiconformal Mapping.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Univariate Persistent Brain Network Feature Based on the Aggregated Cost of Cycles from the Nested Filtration Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Regularized Wasserstein Means for Aligning Distributional Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML.
CoRR, 2019

Graph Neural Networks for User Identity Linkage.
CoRR, 2019

MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression.
CoRR, 2019

Continually Modeling Alzheimer's Disease Progression via Deep Multi-order Preserving Weight Consolidation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Geometric Brain Surface Network for Brain Cortical Parcellation.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

Surface Foliation Based Brain Morphometry Analysis.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

A Geometric Framework for Feature Mappings in Multimodal Fusion of Brain Image Data.
Proceedings of the Information Processing in Medical Imaging, 2019

Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease.
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

2018
Regularized Wasserstein Means Based on Variational Transportation.
CoRR, 2018

Brain Morphometry Analysis with Surface Foliation Theory.
CoRR, 2018

Multimodal Fusion of Brain Networks with Longitudinal Couplings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Variational Wasserstein Clustering.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Hyperbolic Harmonic Mapping for Surface Registration.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Towards a Holistic Cortical Thickness Descriptor: Heat Kernel-Based Grey Matter Morphology Signatures.
NeuroImage, 2017

FGWAS: Functional genome wide association analysis.
NeuroImage, 2017

Conformal invariants for multiply connected surfaces: Application to landmark curve-based brain morphometry analysis.
Medical Image Anal., 2017

Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images.
CoRR, 2017

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression.
CoRR, 2017

Deep-learning-based classification of FDG-PET data for Alzheimer's disease categories.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

Cranial thickness changes in early childhood.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

Bayesian automated cortical segmentation for neonatal MRI.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline.
Proceedings of the Information Processing in Medical Imaging, 2017

Intrinsic 3D Dynamic Surface Tracking based on Dynamic Ricci Flow and Teichmüller Map.
Proceedings of the IEEE International Conference on Computer Vision, 2017

An Optimal Transportation Based Univariate Neuroimaging Index.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Contribution to speech development of the right anterior putamen revealed with multivariate tensor-based morphometry.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Central sulcus development in early childhood.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Shape Analysis with Hyperbolic Wasserstein Distance.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Optimal Mass Transport for Shape Matching and Comparison.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Impact of Early and Late Visual Deprivation on the Structure of the Corpus Callosum: A Study Combining Thickness Profile with Surface Tensor-Based Morphometry.
Neuroinformatics, 2015

Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry.
NeuroImage, 2015

A novel cortical thickness estimation method based on volumetric Laplace-Beltrami operator and heat kernel.
Medical Image Anal., 2015

Multi-scale Heat Kernel Based Volumetric Morphology Signature.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Subcortical shape and volume abnormalities in an elderly HIV+ cohort.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015

Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Mapping abnormal subcortical brain morphometry in an elderly HIV+ cohort.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Medial demons registration localizes the degree of genetic influence over subcortical shape variability: An N= 1480 meta-analysis.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis.
Proceedings of the Information Processing in Medical Imaging, 2015

Characterization of the central sulcus in the brain in early childhood.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Bi-level multi-source learning for heterogeneous block-wise missing data.
NeuroImage, 2014

Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.
NeuroImage, 2014

Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Characterizing human retinotopic mapping with conformal geometry: a preliminary study.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

3D pre- versus post-season comparisons of surface and relative pose of the corpus callosum in contact sport athletes.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Automatic pathology classification using a single feature machine learning support - vector machines.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013
Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.
NeuroImage, 2013

Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus.
NeuroImage, 2013

Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features.
NeuroImage, 2013

Teichmüller Shape Descriptor and Its Application to Alzheimer's Disease Study.
Int. J. Comput. Vis., 2013

A Heat Kernel Based Cortical Thickness Estimation Algorithm.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Statistical Analysis of Relative Pose of the Thalamus in Preterm Neonates.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2013

Multi-source learning with block-wise missing data for Alzheimer's disease prediction.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Hyperbolic Harmonic Brain Surface Registration with Curvature-Based Landmark Matching.
Proceedings of the Information Processing in Medical Imaging, 2013

Area Preserving Brain Mapping.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Hyperbolic Harmonic Mapping for Constrained Brain Surface Registration.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Brain Surface Conformal Parameterization With the Ricci Flow.
IEEE Trans. Medical Imaging, 2012

Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.
NeuroImage, 2012

Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

Modeling Dynamic Cellular Morphology in Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Conformal mapping of nuclei in 3D tomographic cell images to assess shape heterogeneity.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Shape matching with medial curves and 1-D group-wise registration.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011
Surface-based TBM boosts power to detect disease effects on the brain: An N = 804 ADNI study.
NeuroImage, 2011

Human Brain Mapping with Conformal Geometry and Multivariate Tensor-Based Morphometry.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

2010
Optimized Conformal Surface Registration with Shape-based Landmark Matching.
SIAM J. Imaging Sci., 2010

Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular abnormalities in HIV/AIDS.
NeuroImage, 2010

2009
Teichmüller Shape Space Theory and Its Application to Brain Morphometry.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Multivariate Tensor-Based Brain Anatomical Surface Morphometry via Holomorphic One-Forms.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Wavelet-Based Representation of Biological Shapes.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

Multivariate Tensor-Based Morphometry on Surfaces: Application to Mapping Ventricular Changes in HIV/AIDS.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Studying brain morphometry using conformal equivalence class.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Shape analysis with multivariate tensor-based morphometry and holomorphic differentials.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Shape analysis with conformal invariants for multiply connected domains and its application to analyzing brain morphology.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Computation of curvatures using conformal parameterization.
Commun. Inf. Syst., 2008

Conformal Slit Mapping and Its Applications to Brain Surface Parameterization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Optimized Conformal Parameterization of Cortical Surfaces Using Shape Based Matching of Landmark Curves.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Brain surface conformal parameterization with the slit mapping.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Brain Surface Conformal Parameterization Using Riemann Surface Structure.
IEEE Trans. Medical Imaging, 2007

Brain Surface Conformal Parameterization with the Ricci Flow.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Hippocampal Surface Discrimination via Invariant Descriptors of Spherical Conformals Maps.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
Document zone content classification and its performance evaluation.
Pattern Recognit., 2006

Brain Surface Conformal Parameterization with Algebraic Functions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

A Landmark-Based Brain Conformal Parametrization with Automatic Landmark Tracking Technique.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Automatic landmark tracking applied to optimize brain conformal mapping.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Hippocampal Surface Analysis Using Spherical Harmonic Function Applied to Surface Conformal Mapping.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Automatic Landmark Tracking and its Application to the Optimization of Brain Conformal Mapping.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Solving PDEs on Manifolds with Global Conformal Parametriazation.
Proceedings of the Variational, 2005

Optimization of Brain Conformal Mapping with Landmarks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Brain Surface Parameterization Using Riemann Surface Structure.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Automated Surface Matching Using Mutual Information Applied to Riemann Surface Structures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Surface Parameterization Using Riemann Surface Structure.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Mutual Information-Based 3D Surface Matching with Applications to Face Recognition and Brain Mapping.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Combination of Brain Conformal Mapping and Landmarks: A Variational Approach.
Proceedings of the Eighth IASTED International Conference on Computer Graphics and Imaging, 2005

Brain Surface Conformal Parameterization.
Proceedings of the Eighth IASTED International Conference on Computer Graphics and Imaging, 2005

3D Surface Matching with Mutual Information and Riemann Surface Structures.
Proceedings of the Eighth IASTED International Conference on Computer Graphics and Imaging, 2005

2004
Genus zero surface conformal mapping and its application to brain surface mapping.
IEEE Trans. Medical Imaging, 2004

Table structure understanding and its performance evaluation.
Pattern Recognit., 2004

Surface Segmentation Using Global Conformal Structure.
Commun. Inf. Syst., 2004

Optimal Global Conformal Surface Parameterization for Visualization.
Commun. Inf. Syst., 2004

Optimal Global Conformal Surface Parameterization.
Proceedings of the 15th IEEE Visualization Conference, 2004

Intrinsic brain surface conformal mapping using a variational method.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

Volumetric Harmonic Brain Mapping.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
Volumetric Harmonic Map.
Commun. Inf. Syst., 2003

Geometric Compression Using Riemann Surface Structure.
Commun. Inf. Syst., 2003

Computing Conformal Invariants: Period Matrices.
Commun. Inf. Syst., 2003

Automatic Table Detection in HTML Documents.
Proceedings of the Web Document Analysis, 2003

2002
A machine learning based approach for table detection on the web.
Proceedings of the Eleventh International World Wide Web Conference, 2002

A Method for Document Zone Content Classification.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Table Detection via Probability Optimization.
Proceedings of the Document Analysis Systems V, 5th International Workshop, 2002

A Study on the Document Zone Content Classification Problem.
Proceedings of the Document Analysis Systems V, 5th International Workshop, 2002

Detecting Tables in HTML Documents.
Proceedings of the Document Analysis Systems V, 5th International Workshop, 2002

2001
Zone Content Classification and its Performance Evaluation.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

Automatic Table Ground Truth Generation and a Background-Analysis-Based Table Structure Extraction Method.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001

2000
Statistical-Based Approach to Word Segmentation.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Algorithm Performance Contest.
Proceedings of the 15th International Conference on Pattern Recognition, 2000


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