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Sequence Complementor: Complementing Transformers For Time Series
Forecasting with Learnable Sequences
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2025
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Xiwen Chen
Peijie Qiu
Wenhui Zhu
Huayu Li
Hao Wang
Aristeidis Sotiras
Yalin Wang
Abolfazl Razi
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Plasma-CycleGAN: Plasma Biomarker-Guided MRI to PET Cross-modality
Translation Using Conditional CycleGAN
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2025
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Yanxi Chen
YiâChang Su
Celine Dumitrascu
Kewei Chen
David Weidman
Richard J. Caselli
Nicholas J. Ashton
Eric M. Reiman
Yalin Wang
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Multimodal Variational Autoencoder: a Barycentric View
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2024
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Peijie Qiu
Wenhui Zhu
Sayantan Kumar
Xiwen Chen
Xiaotong Sun
Yang Jin
Abolfazl Razi
Yalin Wang
Aristeidis Sotiras
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Many-MobileNet: Multi-Model Augmentation for Robust Retinal Disease
Classification
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2024
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Hao Wang
Wenhui Zhu
Xuanzhao Dong
Yanxi Chen
Xin Li
Peijie Qiu
Xiwen Chen
Vamsi Krishna Vasa
Yujian Xiong
Oana M. Dumitrascu
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Generalized Principal Component Analysis for Large-dimensional Matrix
Factor Model
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2024
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Yong He
Y. R. Hou
Haixia Liu
Yalin Wang
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TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image
Enhancement
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2024
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Xiao Dong
Wenhui Zhu
Xin Li
Guoxin Sun
Su Yi
Oana M. Dumitrascu
Yalin Wang
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A Recipe for Geometry-Aware 3D Mesh Transformers
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2024
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Mohammad Farazi
Yalin Wang
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EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image
Segmentation on Mobile and Edge Devices
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2024
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Xin Li
Wenhui Zhu
Xiao Dong
Oana M. Dumitrascu
Yalin Wang
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CUNSB-RFIE: Context-aware Unpaired Neural Schr\"odinger Bridge in
Retinal Fundus Image Enhancement
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2024
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Xuanzhao Dong
Vamsi Krishna Vasa
Wenhui Zhu
Peijie Qiu
Xiwen Chen
Su Yi
Yujian Xiong
Zhangsihao Yang
Yanxi Chen
Yalin Wang
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Context-Aware Optimal Transport Learning for Retinal Fundus Image
Enhancement
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2024
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Vamsi Krishna Vasa
Peijie Qiu
Wenhui Zhu
Yujian Xiong
Oana M. Dumitrascu
Yalin Wang
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AMG: Avatar Motion Guided Video Generation
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2024
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Zhangsihao Yang
Mengyi Shan
Mohammad Farazi
Wenhui Zhu
Yanxi Chen
Xuanzhao Dong
Yalin Wang
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DGR-MIL: Exploring Diverse Global Representation in Multiple Instance
Learning for Whole Slide Image Classification
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2024
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Wenhui Zhu
Xiwen Chen
Peijie Qiu
Aristeidis Sotiras
Abolfazl Razi
Yalin Wang
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SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
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2024
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Wenhui Zhu
Xiwen Chen
Peijie Qiu
Mohammad Farazi
Aristeidis Sotiras
Abolfazl Razi
Yalin Wang
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Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning
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2024
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Yujian Xiong
Wenhui Zhu
ZhongâLin Lu
Yalin Wang
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Enhancing 3T Retinotopic Maps Using Diffeomorphic Registration
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2024
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Negar Jalili-Mallak
Yanshuai Tu
Zhong-Lin Lu
Yalin Wang
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Large-dimensional Robust Factor Analysis with Group Structure
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2024
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Yong He
Xiaoyang Ma
Xinheng Wang
Yalin Wang
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Distributed Learning for Principal Eigenspaces without Moment Constraints
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2024
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Yong He
Zichen Liu
Yalin Wang
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Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by
Unsupervised Learning
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2024
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Yujian Xiong
Wenhui Zhu
ZhongâLin Lu
Yalin Wang
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MKendall: Matrix Kendall's Tau and Matrix Elliptical Factor Model
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2024
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Yong He
Yalin Wang
Long Yu
Wang Zhou
WenâXin Zhou
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Enhancing 3T Retinotopic Maps Using Diffeomorphic Registration
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2024
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Negar Jalili-Mallak
Yanshuai Tu
ZhongâLin Lu
Yalin Wang
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A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry
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2023
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Jianfeng Wu
Yi Su
Yanxi Chen
Wenhui Zhu
Eric M. Reiman
Richard J. Caselli
Kewei Chen
Paul M. Thompson
Junwen Wang
Yalin Wang
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SFCNEXT: A Simple Fully Convolutional Network for Effective Brain Age Estimation with Small Sample Size
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2023
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Yu Fu
Yanyan Huang
Shunjie Dong
Yalin Wang
Tianbai Yu
Meng Niu
Cheng Zhuo
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Optimal Transport Guided Unsupervised Learning for Enhancing Low-Quality Retinal Images
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2023
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Wenhui Zhu
Peijie Qiu
Mohammad Farazi
Keshav Nandakumar
Oana M. Dumitrascu
Yalin Wang
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Characterizing visual cortical magnification with topological smoothing and optimal transportation
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2023
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Yujian Xiong
Yanshuai Tu
ZhongâLin Lu
Yalin Wang
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Self-supervised equivariant regularization reconciles multiple-instance learning: joint referable diabetic retinopathy classification and lesion segmentation
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2023
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Wenhui Zhu
Peijie Qiu
Natasha Leporé
Dumitrascu Oana M
Yalin Wang
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Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence
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2023
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Mohammad Farazi
Wenhui Zhu
Zhangsihao Yang
Yalin Wang
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Optimal Transport Guided Unsupervised Learning for Enhancing low-quality Retinal Images
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2023
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Wenhui Zhu
Peijie Qiu
Mohammad Farazi
Keshav Nandakumar
Oana M. Dumitrascu
Yalin Wang
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OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing
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2023
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Wenhui Zhu
Peijie Qiu
Oana M. Dumitrascu
Jacob H. Jacob
Mohammad Farazi
Zhangsihao Yang
Keshav Nandakumar
Yalin Wang
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TetCNN: Convolutional Neural Networks on Tetrahedral Meshes
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2023
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Mohammad Farazi
Zhangsihao Yang
Wenhui Zhu
Peijie Qiu
Yalin Wang
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A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry
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2023
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Jianfeng Wu
Yi Su
Yanxi Chen
Wenhui Zhu
Eric M. Reiman
Richard J. Caselli
Kewei Chen
Paul M. Thompson
Junwen Wang
Yalin Wang
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SFCNeXt: a simple fully convolutional network for effective brain age estimation with small sample size
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2023
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Yu Fu
Yanyan Huang
Shunjie Dong
Yalin Wang
Tianbai Yu
Meng Niu
Cheng Zhuo
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nnMobileNe: Rethinking CNN for Retinopathy Research
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2023
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Wenhui Zhu
Peijie Qiu
Natasha Leporé
Oana M. Dumitrascu
Yalin Wang
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TetCNN: Convolutional Neural Networks on Tetrahedral Meshes
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2023
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Mohammad Farazi
Zhangsihao Yang
Wenhui Zhu
Peijie Qiu
Yalin Wang
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PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers
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2023
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Wenhui Zhu
Peijie Qiu
Oana M. Dumitrascu
Yalin Wang
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Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation
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2023
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Zhangsihao Yang
Mengwei Ren
Kaize Ding
Guido Gerig
Yalin Wang
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SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification
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2023
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Peijie Qiu
Pan Xiao
Wenhui Zhu
Yalin Wang
Aristeidis Sotiras
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Genetic influences on the shape of brain ventricular and subcortical structures
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2022
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Bingxin Zhao
Tengfei Li
Xiaochen Yang
Juan Shu
Xifeng Wang
Tianyou Luo
Yue Yang
Zhenyi Wu
Zirui Fan
Zhiwen Jiang
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Geometry-Aware Hierarchical Bayesian Learning on Manifolds
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2022
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Yonghui Fan
Yalin Wang
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Distributed Learning for Principle Eigenspaces without Moment Constraints
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2022
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Yong He
Zichen Liu
Yalin Wang
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OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt
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2022
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Fu Yu
Yanyan Huang
Yalin Wang
Shunjie Dong
Le Xue
Xunzhao Yin
Qianqian Yang
Yiyu Shi
Cheng Zhuo
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Functional2Structural: Cross-Modality Brain Networks Representation Learning
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2022
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Haoteng Tang
Xiyao Fu
Lei Guo
Yalin Wang
Scott Mackin
Olusola Ajilore
Alex Leow
Paul M. Thompson
Heng Huang
Liang Zhan
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Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation
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2022
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Wenhui Zhu
Peijie Qiu
Natasha Leporé
Oana M. Dumitrascu
Yalin Wang
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Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence
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2022
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Mohammad Farazi
Wenhui Zhu
Zhangsihao Yang
Yalin Wang
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Improved Prediction of Beta-Amyloid and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding
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2022
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Jianfeng Wu
Yi Su
Wenhui Zhu
Negar Jalili Mallak
Natasha Leporé
Eric M. Reiman
Richard J. Caselli
Paul M. Thompson
Kewei Chen
Yalin Wang
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Matrix Kendall's tau in High-dimensions: A Robust Statistic for Matrix Factor Model
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2022
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Yong He
Yalin Wang
Long Yu
Zhou Wang
WenâXin Zhou
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The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
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2021
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RÄzvan V. Marinescu
Neil P. Oxtoby
Alexandra L. Young
Esther E. Bron
Arthur W. Toga
Michael W. Weiner
Frederik Barkhof
Nick C. Fox
Arman Eshaghi
Tina Toni
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Predicting Tau accumulation in cerebral cortex with multivariate MRI morphometry measurements, sparse coding, and correntropy
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2021
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Jianfeng Wu
Wenhui Zhu
Yi Su
Jie Gui
Natasha Leporé
Eric M. Reiman
Richard J. Caselli
Paul M. Thompson
Kewei Chen
Yalin Wang
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Cortical Surface Shape Analysis Based on Alexandrov Polyhedra
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2021
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Min Zhang
Yang Guo
Na Lei
Zhou Zhao
Jianfeng Wu
Xiaoyin Xu
Yalin Wang
Xianfeng Gu
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Topological Receptive Field Model for Human Retinotopic Mapping
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2021
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Yanshuai Tu
Duyan Ta
ZhongâLin Lu
Yalin Wang
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Tetrahedral spectral feature-Based bayesian manifold learning for grey matter morphometry: Findings from the Alzheimerâs disease neuroimaging initiative
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2021
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Yonghui Fan
Gang Wang
Qunxi Dong
Yuxiang Liu
Natasha Leporé
Yalin Wang
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Predicting future cognitive decline with hyperbolic stochastic coding
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2021
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Jie Zhang
Qunxi Dong
Jie Shi
Qingyang Li
Cynthia M. Stonnington
Boris A. Gutman
Kewei Chen
Eric M. Reiman
Richard J. Caselli
Paul M. Thompson
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Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding
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2021
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Junshan Zhang
Qunxi Dong
Jie Shi
Qing Li
Cynthia M. Stonnington
Boris A. Gutman
K. Chen
Eric M. Reiman
Richard J. Caselli
Paul M. Thompson
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Cortical Morphometry Analysis based on Worst Transportation Theory
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2021
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Min Zhang
Dongsheng An
Na Lei
Jianfeng Wu
ĐąĐŸĐœĐł ĐĐ°ĐŸ
Xiaoyin Xu
Yalin Wang
Xianfeng Gu
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Topological Receptive Field Model for Human Retinotopic Mapping
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2021
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Yanshuai Tu
Duyan Ta
ZhongâLin Lu
Yalin Wang
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PDF
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Topological Receptive Field Model for Human Retinotopic Mapping
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2021
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Yanshuai Tu
Duyan Ta
ZhongâLin Lu
Yalin Wang
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Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy
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2021
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Jianfeng Wu
Wenhui Zhu
Yi Su
Jie Gui
Natasha Leporé
Eric M. Reiman
Richard J. Caselli
Paul M. Thompson
Kewei Chen
Yalin Wang
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Geometry-Aware Hierarchical Bayesian Learning on Manifolds
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2021
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Yonghui Fan
Yalin Wang
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Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition
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2020
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Gang Wang
Qunxi Dong
Jianfeng Wu
Yi Su
Kewei Chen
Qingtang Su
Xiaofeng Zhang
Jinguang Hao
Tao Yao
Li Liu
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Computing Univariate Neurodegenerative Biomarkers with Volumetric Optimal Transportation: A Pilot Study
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2020
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Yanshuai Tu
Liang Mi
Wen Zhang
Haomeng Zhang
Junwei Zhang
Yonghui Fan
Dhruman D. Goradia
Kewei Chen
Richard J. Caselli
Eric M. Reiman
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Regularized Wasserstein Means for Aligning Distributional Data
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2020
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Liang Mi
Wen Zhang
Yalin Wang
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Morphometric Gaussian process for landmarking on grey matter tetrahedral models
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2020
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Yonghui Fan
Natasha Leporé
Yalin Wang
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Variational Wasserstein Barycenters for Geometric Clustering
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2020
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YongâMin Liang
Tianshu Yu
José Bento
Wen Zhang
Baoxin Li
Yalin Wang
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Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmuller Map in Retinotopic Mapping
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2020
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Yanshuai Tu
Duyan Ta
ZhongâLin Lu
Yalin Wang
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Deep Representation Learning For Multimodal Brain Networks
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2020
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Wen Zhang
Liang Zhan
Paul M. Thompson
Yalin Wang
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The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
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2020
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RÄzvan V. Marinescu
Neil P. Oxtoby
Alexandra L. Young
Esther E. Bron
Arthur W. Toga
Michael W. Weiner
Frederik Barkhof
Nick C. Fox
Arman Eshaghi
Tina Toni
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MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression
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2019
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Jie Zhang
Xiaolong Wang
Dawei Li
Shalini Ghosh
Abhishek Kolagunda
Yalin Wang
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Graph Neural Networks for User Identity Linkage
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2019
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Wen Zhang
Kai Shu
Huan Liu
Yalin Wang
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Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
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2019
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Jie Zhang
Junting Zhang
Shalini Ghosh
Dawei Li
Jingwen Zhu
Heming Zhang
Yalin Wang
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Geometric Brain Surface Network For Brain Cortical Parcellation
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2019
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Wen Zhang
Yalin Wang
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Surface Foliation Based Brain Morphometry Analysis
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2019
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Chengfeng Wen
Na Lei
Ming Ma
Xin Qi
Wen Zhang
Yalin Wang
Xianfeng Gu
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Regularized Wasserstein Means Based on Variational Transportation.
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2018
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Liang Mi
Wen Zhang
Yalin Wang
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Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices
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2018
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Jie Zhang
Xiaolong Wang
Dawei Li
Yalin Wang
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Discrete Ricci Flow
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2018
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Miao Jin
Xianfeng Gu
Ying He
Yalin Wang
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Harmonic and Holomorphic Forms
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2018
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Miao Jin
Xianfeng Gu
Ying He
Yalin Wang
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Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices
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2018
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Jie Zhang
Xiaolong Wang
Dawei Li
Yalin Wang
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Variational Wasserstein Clustering
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2018
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Liang Mi
Wen Zhang
Xianfeng Gu
Yalin Wang
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Brain Morphometry Analysis with Surface Foliation Theory
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2018
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Chengfeng Wen
Na Lei
Ming Ma
Xin Qi
Wen Zhang
Yalin Wang
Xianfeng Gu
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Variational Wasserstein Clustering
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2018
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Liang Mi
Wen Zhang
Xianfeng Gu
Yalin Wang
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Regularized Wasserstein Means for Aligning Distributional Data
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2018
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Liang Mi
Wen Zhang
Yalin Wang
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+
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Conformal Geometry
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2018
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Miao Jin
Xianfeng Gu
Ying He
Yalin Wang
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Medical Imaging
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2018
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Miao Jin
Xianfeng Gu
Ying He
Yalin Wang
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PDF
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Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance
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2017
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Wen Zhang
Jie Shi
Jun Yu
Liang Zhan
Paul M. Thompson
Yalin Wang
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Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression
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2017
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Qingyang Li
Dajiang Zhu
Jie Zhang
Derrek P. Hibar
Neda Jahanshad
Yalin Wang
Jieping Ye
Paul M. Thompson
Jie Wang
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Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images
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2017
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Jie Zhang
Qingyang Li
Richard J. Caselli
Jieping Ye
Yalin Wang
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Conformal invariants for multiply connected surfaces: Application to landmark curve-based brain morphometry analysis
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2016
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Jie Shi
Wen Zhang
Miao Tang
Richard J. Caselli
Yalin Wang
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Shape Analysis with Hyperbolic Wasserstein Distance
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2016
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Jie Shi
Wen Zhang
Yalin Wang
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PDF
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Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline
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2016
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Jie Zhang
Cynthia M. Stonnington
Qingyang Li
Jie Shi
Robert Bauer
Boris A. Gutman
Kewei Chen
Eric M. Reiman
Paul M. Thompson
Jieping Ye
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Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimerâs Disease Across Multiple Institutions
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2016
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Qingyang Li
Tao Yang
Liang Zhan
Derrek P. Hibar
Neda Jahanshad
Yalin Wang
Jieping Ye
Paul M. Thompson
Jie Wang
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Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions
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2016
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Qingyang Li
Tao Yang
Liang Zhan
Derrek P. Hibar
Neda Jahanshad
Yalin Wang
Jieping Ye
Paul M. Thompson
Jie Wang
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Changes in neurocranium thickness in early childhood
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2015
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Niharika Gajawelli
Sean Deoni
Jie Shi
Liang Xu
Holly Dirks
Douglas Dean
Jonathan OâMuircheartaigh
Siddhant Sawardekar
Andrea Ezis
Marvin D. Nelson
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Comparison of nine tractography algorithms for detecting abnormal structural brain networks in Alzheimerâs disease
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2015
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Liang Zhan
Jiayu Zhou
Yalin Wang
Yan Jin
Neda Jahanshad
Gautam Prasad
Talia M. Nir
Cassandra D. Leonardo
Jieping Ye
Paul M. Thompson
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Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis
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2015
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Zhengyu Su
Wei Zeng
Yalin Wang
ZhongâLin Lu
Xianfeng Gu
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PDF
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Multi-scale Heat Kernel Based Volumetric Morphology Signature
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2015
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Gang Wang
Yalin Wang
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Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry
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2014
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Jie Shi
Cynthia M. Stonnington
Paul M. Thompson
Kewei Chen
Boris A. Gutman
Cole Reschke
Leslie C. Baxter
Eric M. Reiman
Richard J. Caselli
Yalin Wang
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Bi-level multi-source learning for heterogeneous block-wise missing data
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2013
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Shuo Xiang
Lei Yuan
Wei Fan
Yalin Wang
Paul M. Thompson
Jieping Ye
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Multi-source learning with block-wise missing data for Alzheimer's disease prediction
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2013
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Shuo Xiang
Lei Yuan
Wei Fan
Yalin Wang
Paul M. Thompson
Jieping Ye
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TeichmĂŒller Shape Descriptor and Its Application to Alzheimerâs Disease Study
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2012
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Wei Zeng
Rui Shi
Yalin Wang
ShingâTung Yau
Xianfeng Gu
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Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data
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2012
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Lei Yuan
Yalin Wang
Paul M. Thompson
Vaibhav A. Narayan
Jieping Ye
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Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry
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2012
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Jie Shi
Paul M. Thompson
Yalin Wang
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Modeling Dynamic Cellular Morphology in Images
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2012
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Xing An
Zhiwen Liu
Yonggang Shi
Ning Li
Yalin Wang
Shantanu H. Joshi
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Brain Surface Conformal Parameterization With the Ricci Flow
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2011
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Yalin Wang
Jie Shi
Xiaotian Yin
Xianfeng Gu
Tony F. Chan
Shing-Tung Yau
Arthur W. Toga
Paul M. Thompson
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Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular abnormalities in HIV/AIDS
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2009
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Yalin Wang
Jie Zhang
Boris A. Gutman
Tony F. Chan
James T. Becker
Howard Aizenstein
Oscar L. LĂłpez
Robert Tamburo
Arthur W. Toga
Paul M. Thompson
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Studying brain morphometry using conformal equivalence class
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2009
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Yalin Wang
Wei Dai
YiâYu Chou
Xianfeng Gu
Tony F. Chan
Arthur W. Toga
Paul M. Thompson
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Shape analysis with conformal invariants for multiply connected domains and its application to analyzing brain morphology
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2009
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Yalin Wang
Xianfeng Gu
Tony F. Chan
Paul M. Thompson
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Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular changes in HIV/AIDS
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2009
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Yalin Wang
Jie Zhang
Tony F. Chan
Arthur W. Toga
Paul M. Thompson
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Shape analysis with conformal invariants for multiply connected domains and its application to analyzing brain morphology
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2009
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Yalin Wang
Xianfeng Gu
Tony F. Chan
P.M. Thompson
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Chat
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Disease classification with hippocampal shape invariants
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2009
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Boris A. Gutman
Yalin Wang
Jonathan H. Morra
Arthur W. Toga
Paul M. Thompson
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PDF
Chat
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TeichmĂŒller Shape Space Theory and Its Application to Brain Morphometry
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2009
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Yalin Wang
Wei Dai
Xianfeng Gu
Tony F. Chan
ShingâTung Yau
Arthur W. Toga
Paul M. Thompson
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+
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Brain Mapping with the Ricci Flow Conformal Parameterization and Multivariate Statistics on Deformation Tensors
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2008
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Yalin Wang
Xiaotian Yin
Jie Zhang
Xianfeng Gu
Tony F. Chan
Paul M. Thompson
ShingâTung Yau
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+
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Brain anatomical feature detection by solving partial differential equations on general manifolds
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2007
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Lok Ming Lui
Yalin Wang
Tony F. Chan
Paul M. Thompson
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+
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Hippocampal surface discrimination via invariant descriptors of spherical conformals maps
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2007
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Boris A. Gutman
Yalin Wang
Lok Ming Lui
Tony F. Chan
Paul M. Thompson
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+
PDF
Chat
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A Landmark-Based Brain Conformal Parametrization with Automatic Landmark Tracking Technique
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2006
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Lok Ming Lui
Yalin Wang
Tony F. Chan
Paul M. Thompson
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PDF
Chat
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Brain Surface Conformal Parameterization with Algebraic Functions
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2006
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Yalin Wang
Xianfeng Gu
Tony F. Chan
Paul M. Thompson
ShingâTung Yau
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+
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Hippocampal Surface Analysis Using Spherical Harmonic Function Applied to Surface Conformal Mapping
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2006
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Boris A. Gutman
Yalin Wang
Lok Ming Lui
Tony F. Chan
Paul M. Thompson
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+
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Brain surface conformal parameterization with algebraic functions
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2006
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Yalin Wang
Xianfeng Gu
Tony F. Chan
Paul Murray Thompson
ShingâTung Yau
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+
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A landmark-based brain conformal parametrization with automatic landmark tracking technique
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2006
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Lok Ming Lui
Yalin Wang
Tony F. Chan
Paul Murray Thompson
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+
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Brain Surface Conformal Parameterization.
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2005
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Yalin Wang
Xianfeng Gu
Kiralee M. Hayashi
Tony F. Chan
Paul Murray Thompson
ShingâTung Yau
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+
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Combination of brain conformai, mapping and landmarks: A variational approach
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2005
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Yalin Wang
Lok Ming Lui
Tony F. Chan
Paul Murray Thompson
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+
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3D surface matching with mutual information and Riemann surface structures
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2005
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Yalin Wang
Tony F. Chan
Paul M. Thompson
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+
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Brain Surface Parameterization Using Riemann Surface Structure
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2005
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Yalin Wang
Xianfeng Gu
Kiralee M. Hayashi
Tony F. Chan
Paul M. Thompson
ShingâTung Yau
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+
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Automated Surface Matching Using Mutual Information Applied to Riemann Surface Structures
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2005
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Yalin Wang
Tony F. Chan
Paul M. Thompson
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+
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Brain surface parameterization using riemann surface structure
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2005
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Yalin Wang
Xianfeng Gu
Kiralee M. Hayashi
Tony F. Chan
Paul Murray Thompson
ShingâTung Yau
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