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ORCIDYalin Wang 0001
Person information
- affiliation: Arizona State University, Tempe, AZ, USA
Other persons with the same name
- Yalin Wang
- Yalin Wang 0002 — Texas State University, San Marcos, TX, USA
- Yalin Wang 0003
![[0000-0002-1876-7707]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1876-7707")
— Central South University, School of Automation, Changsha, China (and 2 more) - Yalin Wang 0004 — Hefei University of Technology, School of Management, China
- Yalin Wang 0005 — Nanjing University of Information Science and Technology, China
- Yalin Wang 0006 — Academy of Military Medical Science, Institute of Medical Equipment, Tianjin, China
- Yalin Wang 0007 — Yunnan University, School of Mathematics and Statistics, Yunnan, China
- Yalin Wang 0008 — Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing, China
- Yalin Wang 0009 — Harbin Institute of Technology, Department of Sociology, Harbin, China
- Yalin Wang 0010 — Chongqing Geomatics Center, China
- Yalin Wang 0011 — Zhejiang University, College of ISEE, Hangzhou, China
- Yalin Wang 0012 — Fudan University, Center for Intelligent Medical Electronics, School of Information Science and Engineering, Shanghai, China (and 1 more)
- Yalin Wang 0013 — Zhixing College of Hubei University, School of Economics and Management, Wuhan, China
- Yalin Wang 0014 — Odessa Polytechinc National University, Educational and Scientific Institute of Electrical Engineering and Electromechanics, Ukraine
- Yalin Wang 0015 — Qufu Normal University, School of Cyber Science and Engineering, China
- Yalin Wang 0016 — Shanghai Jiao Tong University, Department of Electrical Engineering, School of Electronic Information and Electrical Engineering, China
- Yalin Wang 0017 — PLA General Hospital, Medical Supplies Center, Department of Medical Engineering, Beijing, China
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2020 – today
- 2025
[j46]Sebastian Waz, Yalin Wang, Zhong-Lin Lu:
qPRF: A system to accelerate population receptive field modeling. NeuroImage 306: 120994 (2025)- [i49]Yanxi Chen, Yi Su, Celine Dumitrascu, Kewei Chen, David Weidman, Richard J. Caselli, Nicholas Ashton, Eric M. Reiman, Yalin Wang:
Plasma-CycleGAN: Plasma Biomarker-Guided MRI to PET Cross-modality Translation Using Conditional CycleGAN. CoRR abs/2501.02146 (2025) - [i48]Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi:
Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences. CoRR abs/2501.02735 (2025) - 2024
- [j45]Yougang Xiao, Yuhan Li, Huan Liu, Yingguo Chen, Yalin Wang, Guohua Wu:
Adaptive large neighborhood search algorithm with reinforcement search strategy for solving extended cooperative multi task assignment problem of UAVs. Inf. Sci. 679: 121068 (2024) - [j44]Habte Tadesse Likassa, Ding-Geng Chen, Kewei Chen, Yalin Wang, Wenhui Zhu:
Robust PCA with Lw,∗ and L2,1 Norms: A Novel Method for Low-Quality Retinal Image Enhancement. J. Imaging 10(7): 151 (2024) - [j43]Yanshuai Tu, Xin Li, Zhonglin Lu, Yalin Wang:
Adaptive smoothing of retinotopic maps based on Teichmüller parametrization. Medical Image Anal. 93: 103074 (2024) - [c126]Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang:
OmniMotionGPT: Animal Motion Generation with Limited Data. CVPR 2024: 1249-1259 - [c125]Wenhui Zhu, Peijie Qiu, Xiwen Chen, Xin Li, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang:
nnMobileNet: Rethinking CNN for Retinopathy Research. CVPR Workshops 2024: 2285-2294 - [c124]Wenhui Zhu, Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang:
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification. ECCV (38) 2024: 333-351 - [c123]Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi:
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning. ICML 2024 - [c122]Negar Jalili Mallak, Yanshuai Tu, Zhonglin Lu, Yalin Wang:
Enhancing 3T Retinotopic Maps Using Diffeomorphic Registration. ISBI 2024: 1-5 - [c121]Yujian Xiong, Wenhui Zhu, Zhonglin Lu, Yalin Wang:
Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning. ISBI 2024: 1-5 - [c120]Zhangsihao Yang, Yi Su, Rahimeh Rouhi, Mohammad Farazi, Wenhui Zhu, Yanxi Chen, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Yalin Wang, Natasha Leporé:
Pre-Training Graph Attention Convolution for Brain Structural Imaging Biomarker Analysis and Its Application to Alzheimer's Disease Pathology Identification. ISBI 2024: 1-5 - [c119]Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang:
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. MICCAI (8) 2024: 601-611 - [c118]Zhangsihao Yang, Kaize Ding, Huan Liu, Yalin Wang:
MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders. WACV 2024: 3291-3301 - [i47]Yujian Xiong, Wenhui Zhu, Zhonglin Lu, Yalin Wang:
Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning. CoRR abs/2404.05107 (2024) - [i46]Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi:
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning. CoRR abs/2405.03140 (2024) - [i45]Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang:
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. CoRR abs/2406.14896 (2024) - [i44]Wenhui Zhu, Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang:
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2407.03575 (2024) - [i43]Zhangsihao Yang, Mengyi Shan, Mohammad Farazi, Wenhui Zhu, Yanxi Chen, Xuanzhao Dong, Yalin Wang:
AMG: Avatar Motion Guided Video Generation. CoRR abs/2409.01502 (2024) - [i42]Vamsi Krishna Vasa, Peijie Qiu, Wenhui Zhu, Yujian Xiong, Oana Dumitrascu, Yalin Wang:
Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement. CoRR abs/2409.07862 (2024) - [i41]Xuanzhao Dong, Vamsi Krishna Vasa, Wenhui Zhu, Peijie Qiu, Xiwen Chen, Yi Su, Yujian Xiong, Zhangsihao Yang, Yanxi Chen, Yalin Wang:
CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement. CoRR abs/2409.10966 (2024) - [i40]Vamsi Krishna Vasa, Wenhui Zhu, Xiwen Chen, Peijie Qiu, Xuanzhao Dong, Yalin Wang:
STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation. CoRR abs/2410.11578 (2024) - [i39]Xin Li, Wenhui Zhu, Xuanzhao Dong, Oana M. Dumitrascu, Yalin Wang:
EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices. CoRR abs/2410.15036 (2024) - [i38]Mohammad Farazi, Yalin Wang:
A Recipe for Geometry-Aware 3D Mesh Transformers. CoRR abs/2411.00164 (2024) - [i37]Xuanzhao Dong, Wenhui Zhu, Xin Li, Guoxin Sun, Yi Su, Oana M. Dumitrascu, Yalin Wang:
TPOT: Topology Preserving Optimal Transport in Retinal Fundus Image Enhancement. CoRR abs/2411.01403 (2024) - [i36]Hao Wang, Wenhui Zhu, Xuanzhao Dong, Yanxi Chen, Xin Li, Peijie Qiu, Xiwen Chen, Vamsi Krishna Vasa, Yujian Xiong, Oana M. Dumitrascu, Abolfazl Razi, Yalin Wang:
Many-MobileNet: Multi-Model Augmentation for Robust Retinal Disease Classification. CoRR abs/2412.02825 (2024) - [i35]Peijie Qiu, Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Xiaotong Sun, Jin Yang, Abolfazl Razi, Yalin Wang, Aristeidis Sotiras:
Multimodal Variational Autoencoder: a Barycentric View. CoRR abs/2412.20487 (2024) - 2023
- [j42]Yu Fu, Yanyan Huang, Zhe Zhang, Shunjie Dong, Le Xue, Meng Niu, Yunxin Li, Zhiguo Shi, Yalin Wang, Hong Zhang, Mei Tian, Cheng Zhuo:
OTFPF: Optimal transport based feature pyramid fusion network for brain age estimation. Inf. Fusion 100: 101931 (2023) - [j41]Haoteng Tang, Lei Guo, Xiyao Fu, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Signed graph representation learning for functional-to-structural brain network mapping. Medical Image Anal. 83: 102674 (2023) - [j40]Qunxi Dong, Zhigang Li, Weijia Liu, Kewei Chen, Yi Su, Jianfeng Wu, Richard J. Caselli, Eric M. Reiman, Yalin Wang, Jian Shen:
Correlation Studies of Hippocampal Morphometry and Plasma NFL Levels in Cognitively Unimpaired Subjects. IEEE Trans. Comput. Soc. Syst. 10(6): 3602-3608 (2023) - [c117]Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang:
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. IPMI 2023: 303-315 - [c116]Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Jacob M. Sobczak, Mohammad Farazi, Zhangsihao Yang, Keshav Nandakumar, Yalin Wang:
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing. IPMI 2023: 415-427 - [c115]Yu Fu, Yanyan Huang, Shunjie Dong, Yalin Wang, Tianbai Yu, Meng Niu, Cheng Zhuo:
SFCNEXT: A Simple Fully Convolutional Network for Effective Brain Age Estimation with Small Sample Size. ISBI 2023: 1-5 - [c114]Wenhui Zhu, Peijie Qiu, Mohammad Farazi, Keshav Nandakumar, Oana M. Dumitrascu, Yalin Wang:
Optimal Transport Guided Unsupervised Learning for Enhancing Low-Quality Retinal Images. ISBI 2023: 1-5 - [c113]Wenhui Zhu, Peijie Qiu, Xiwen Chen, Huayu Li, Hao Wang, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang:
Beyond MobileNet: An Improved MobileNet for Retinal Diseases. MMAC@MICCAI 2023: 56-65 - [c112]Huayu Li, Wenhui Zhu, Xiwen Chen, Yalin Wang:
Prediction of Spherical Equivalent with Vanilla ResNet. MMAC@MICCAI 2023: 66-74 - [c111]Kai Ye, Haoteng Tang, Siyuan Dai, Lei Guo, Johnny Yuehan Liu, Yalin Wang, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data. MICCAI (3) 2023: 138-148 - [c110]Yujian Xiong, Yanshuai Tu, Zhonglin Lu, Yalin Wang:
Characterizing visual cortical magnification with topological smoothing and optimal transportation. Image Processing 2023 - [c109]Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang:
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation. NeurIPS 2023 - [c108]Rahimeh Rouhi, Jeffrey Tanedo, Iris Miao Wei, Malia Valder, Shreyash Zanjal, Niharika Gajawelli, Marvin D. Nelson, Sean C. L. Deoni, Yalin Wang, Marius George Linguraru, Natasha Leporé:
Automated Segmentation of the Hippocampus in Pediatric Imaging. SIPAIM 2023: 1-5 - [c107]Mohammad Farazi, Wenhui Zhu, Zhangsihao Yang, Yalin Wang:
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence. WACV 2023: 3145-3154 - [i34]Wenhui Zhu, Peijie Qiu, Mohammad Farazi, Keshav Nandakumar, Oana M. Dumitrascu, Yalin Wang:
Optimal Transport Guided Unsupervised Learning for Enhancing low-quality Retinal Images. CoRR abs/2302.02991 (2023) - [i33]Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Jacob M. Sobczak, Mohammad Farazi, Zhangsihao Yang, Keshav Nandakumar, Yalin Wang:
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing. CoRR abs/2302.03003 (2023) - [i32]Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang:
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. CoRR abs/2302.03830 (2023) - [i31]Jianfeng Wu, Yi Su, Yanxi Chen, Wenhui Zhu, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Paul M. Thompson, Junwen Wang, Yalin Wang:
A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry. CoRR abs/2304.00134 (2023) - [i30]Yu Fu, Yanyan Huang, Shunjie Dong, Yalin Wang, Tianbai Yu, Meng Niu, Cheng Zhuo:
SFCNeXt: a simple fully convolutional network for effective brain age estimation with small sample size. CoRR abs/2305.18771 (2023) - [i29]Wenhui Zhu, Peijie Qiu, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang:
NNMobile-Net: Rethinking CNN Design for Deep Learning-Based Retinopathy Research. CoRR abs/2306.01289 (2023) - [i28]Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Yalin Wang:
PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers. CoRR abs/2308.10112 (2023) - [i27]Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang:
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation. CoRR abs/2310.01680 (2023) - [i26]Peijie Qiu, Pan Xiao, Wenhui Zhu, Yalin Wang, Aristeidis Sotiras:
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2311.00048 (2023) - [i25]Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang:
OmniMotionGPT: Animal Motion Generation with Limited Data. CoRR abs/2311.18303 (2023) - 2022
- [j39]Duyan Ta, Yanshuai Tu, Zhonglin Lu, Yalin Wang:
Quantitative characterization of the human retinotopic map based on quasiconformal mapping. Medical Image Anal. 75: 102230 (2022) - [j38]Duyan Ta, Yanshuai Tu, Zhonglin Lu, Yalin Wang:
Corrigendum to 'Quantitative Characterization of the Human Retinotopic Map Based on Quasiconformal Mapping' [Medical Image Analysis Volume 75 (2022) 102230]. Medical Image Anal. 82: 102613 (2022) - [j37]Wen Zhang, B. Blair Braden, Gustavo Miranda, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang:
Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning. Neuroinformatics 20(2): 301-316 (2022) - [c106]Jianfeng Wu, Yi Su, Eric M. Reiman, Richard J. Caselli, Kewei Chen, Paul M. Thompson, Junwen Wang, Yalin Wang:
Investigating the Effect of Tau Deposition and Apoe on Hippocampal Morphometry in Alzheimer's Disease: A Federated Chow Test Model. ISBI 2022: 1-5 - [c105]Yonghui Fan, Yalin Wang:
Geometry-Aware Hierarchical Bayesian Learning on Manifolds. WACV 2022: 2743-2752 - [i24]Yu Fu, Yanyan Huang, Yalin Wang, Shunjie Dong, Le Xue, Xunzhao Yin, Qianqian Yang, Yiyu Shi, Cheng Zhuo:
OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt. CoRR abs/2205.04684 (2022) - [i23]Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan:
Functional2Structural: Cross-Modality Brain Networks Representation Learning. CoRR abs/2205.07854 (2022) - [i22]Wenhui Zhu, Peijie Qiu, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang:
Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation. CoRR abs/2210.05946 (2022) - [i21]Mohammad Farazi, Wenhui Zhu, Zhangsihao Yang, Yalin Wang:
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence. CoRR abs/2210.09466 (2022) - [i20]Jianfeng Wu, Yi Su, Wenhui Zhu, Negar Jalili Mallak, Natasha Leporé, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Kewei Chen, Yalin Wang:
Improved Prediction of Beta-Amyloid and Tau Burden Using Hippocampal Surface Multivariate Morphometry Statistics and Sparse Coding. CoRR abs/2211.05235 (2022) - 2021
- [j36]Gang Wang, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, Jinguang Hao, Tao Yao, Li Liu, Caiming Zhang, Richard J. Caselli, Eric M. Reiman, Yalin Wang:
Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition. Medical Image Anal. 67: 101877 (2021) - [j35]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, Jieping Ye, Yalin Wang:
Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Anal. 70: 102009 (2021) - [j34]Yonghui Fan, Gang Wang, Qunxi Dong, Yuxiang Liu, Natasha Leporé, Yalin Wang:
Tetrahedral spectral feature-Based bayesian manifold learning for grey matter morphometry: Findings from the Alzheimer's disease neuroimaging initiative. Medical Image Anal. 72: 102123 (2021) - [j33]Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang:
Topology-preserving smoothing of retinotopic maps. PLoS Comput. Biol. 17(8) (2021) - [j32]Jie Zhang, Jianfeng Wu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images. IEEE Trans. Medical Imaging 40(8): 2030-2041 (2021) - [c104]Zhangsihao Yang, Jianfeng Wu, Paul M. Thompson, Yalin Wang:
Deep Learning on SDF for Classifying Brain Biomarkers. EMBC 2021: 1051-1054 - [c103]Min Zhang, Yang Guo, Na Lei, Zhou Zhao, Jianfeng Wu, Xiaoyin Xu, Yalin Wang, Xianfeng Gu:
Cortical Surface Shape Analysis Based on Alexandrov Polyhedra. ICCV 2021: 14224-14232 - [c102]Min Zhang, Dongsheng An, Na Lei, Jianfeng Wu, Tong Zhao, Xiaoyin Xu, Yalin Wang, Xianfeng Gu:
Cortical Morphometry Analysis Based on Worst Transportation Theory. IPMI 2021: 163-176 - [c101]Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang:
Topological Receptive Field Model for Human Retinotopic Mapping. MICCAI (7) 2021: 639-649 - [i19]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, Jieping Ye, Yalin Wang:
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding. CoRR abs/2102.10503 (2021) - [i18]Min Zhang, Dongsheng An, Na Lei, Jianfeng Wu, Tong Zhao, Xiaoyin Xu, Yalin Wang, Xianfeng Gu:
Cortical Morphometry Analysis based on Worst Transportation Theory. CoRR abs/2104.00637 (2021) - [i17]Jianfeng Wu, Wenhui Zhu, Yi Su, Jie Gui, Natasha Leporé, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Kewei Chen, Yalin Wang:
Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy. CoRR abs/2110.10709 (2021) - [i16]Yonghui Fan, Yalin Wang:
Geometry-Aware Hierarchical Bayesian Learning on Manifolds. CoRR abs/2111.00184 (2021) - 2020
- [j31]Yanshuai Tu, Liang Mi, Wen Zhang, Haomeng Zhang, Junwei Zhang, Yonghui Fan, Dhruman Goradia, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Xianfeng Gu, Yalin Wang:
Computing Univariate Neurodegenerative Biomarkers with Volumetric Optimal Transportation: A Pilot Study. Neuroinformatics 18(4): 531-548 (2020) - [j30]Jie Shi, Yalin Wang:
Hyperbolic Wasserstein Distance for Shape Indexing. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1362-1376 (2020) - [c100]Liang Mi, Wen Zhang, Yalin Wang:
Regularized Wasserstein Means for Aligning Distributional Data. AAAI 2020: 5166-5173 - [c99]Mohammad Farazi, Liang Zhan, Natasha Leporé, Paul M. Thompson, Yalin Wang:
A Univariate Persistent Brain Network Feature Based on the Aggregated Cost of Cycles from the Nested Filtration Networks. ISBI 2020: 1-5 - [c98]Wen Zhang, Yalin Wang:
Deep Multimodal Brain Network Learning for Joint Analysis of Structural Morphometry and Functional Connectivity. ISBI 2020: 1-5 - [c97]Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang:
Diffeomorphic Smoothing for Retinotopic Mapping. ISBI 2020: 534-538 - [c96]Yanshuai Tu, Duyan Ta, Xianfeng David Gu, Zhonglin Lu, Yalin Wang:
Diffeomorphic Registration for Retinotopic Mapping Via Quasiconformal Mapping. ISBI 2020: 687-691 - [c95]Jie Zhang, Yalin Wang:
Temporally Adaptive-Dynamic Sparse Network for Modeling Disease Progression. ISBI 2020: 1900-1904 - [c94]Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang:
Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic Mapping. MICCAI (7) 2020: 218-227 - [c93]Wen Zhang, Liang Zhan, Paul M. Thompson, Yalin Wang:
Deep Representation Learning for Multimodal Brain Networks. MICCAI (7) 2020: 613-624 - [c92]Yonghui Fan, Yalin Wang:
Convolutional Bayesian Models for Anatomical Landmarking on Multi-dimensional Shapes. MICCAI (4) 2020: 786-796 - [c91]Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang:
Regularize, Expand and Compress: NonExpansive Continual Learning. WACV 2020: 843-851 - [i15]Liang Mi, Tianshu Yu, José Bento, Wen Zhang, Baoxin Li, Yalin Wang:
Variational Wasserstein Barycenters for Geometric Clustering. CoRR abs/2002.10543 (2020) - [i14]Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang:
Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmuller Map in Retinotopic Mapping. CoRR abs/2005.11908 (2020) - [i13]Wen Zhang, Liang Zhan, Paul Thompson, Yalin Wang:
Deep Representation Learning For Multimodal Brain Networks. CoRR abs/2007.09777 (2020) - [i12]Gang Wang, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, Jinguang Hao, Tao Yao, Li Liu, Caiming Zhang, Richard J. Caselli, Eric M. Reiman, Yalin Wang:
Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition. CoRR abs/2010.13954 (2020)
2010 – 2019
- 2019
- [c90]Qunxi Dong, Jie Zhang, Qingyang Li, Paul M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang:
Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease. HBAI@IJCAI 2019: 21-35 - [c89]Wen Zhang, Liang Mi, Paul M. Thompson, Yalin Wang:
A Geometric Framework for Feature Mappings in Multimodal Fusion of Brain Image Data. IPMI 2019: 617-630 - [c88]Wen Zhang, Yalin Wang:
Geometric Brain Surface Network for Brain Cortical Parcellation. GLMI@MICCAI 2019: 120-129 - [c87]Chengfeng Wen, Na Lei, Ming Ma, Xin Qi, Wen Zhang, Yalin Wang, Xianfeng Gu:
Surface Foliation Based Brain Morphometry Analysis. MBIA/MFCA@MICCAI 2019: 186-195 - [c86]Jie Zhang, Yalin Wang:
Continually Modeling Alzheimer's Disease Progression via Deep Multi-order Preserving Weight Consolidation. MICCAI (2) 2019: 850-859 - [i11]Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang:
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression. CoRR abs/1902.00918 (2019) - [i10]Wen Zhang, Kai Shu, Huan Liu, Yalin Wang:
Graph Neural Networks for User Identity Linkage. CoRR abs/1903.02174 (2019) - [i9]Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang:
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML. CoRR abs/1903.08362 (2019) - [i8]Wen Zhang, Yalin Wang:
Geometric Brain Surface Network For Brain Cortical Parcellation. CoRR abs/1909.13834 (2019) - 2018
- [c85]Liang Mi, Wen Zhang, Xianfeng Gu, Yalin Wang:
Variational Wasserstein Clustering. ECCV (15) 2018: 336-352 - [c84]Yanshuai Tu, Chengfeng Wen, Wen Zhang, Jianfeng Wu, Jie Zhang, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang:
Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease. EMBC 2018: 427-4631 - [c83]Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang:
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. IJCAI 2018: 3089-3096 - [c82]Jie Zhang, Yanshuai Tu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures. ISBI 2018: 1406-1410 - [c81]Jianfeng Wu, Jie Zhang, Jie Shi, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang:
Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics. ISBI 2018: 1555-1559 - [c80]Wen Zhang, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang:
Multimodal Fusion of Brain Networks with Longitudinal Couplings. MICCAI (3) 2018: 3-11 - [c79]Yonghui Fan, Gang Wang, Natasha Leporé, Yalin Wang:
A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis. MICCAI (3) 2018: 420-428 - [i7]Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang:
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. CoRR abs/1806.01248 (2018) - [i6]Liang Mi, Wen Zhang, Xianfeng Gu, Yalin Wang:
Variational Wasserstein Clustering. CoRR abs/1806.09045 (2018) - [i5]Chengfeng Wen, Na Lei, Ming Ma, Xin Qi, Wen Zhang, Yalin Wang, Xianfeng David Gu:
Brain Morphometry Analysis with Surface Foliation Theory. CoRR abs/1809.02870 (2018) - [i4]Liang Mi, Wen Zhang, Yalin Wang:
Regularized Wasserstein Means Based on Variational Transportation. CoRR abs/1812.00338 (2018) - 2017
- [j29]Jie Shi, Wen Zhang, Miao Tang, Richard J. Caselli, Yalin Wang:
Conformal invariants for multiply connected surfaces: Application to landmark curve-based brain morphometry analysis. Medical Image Anal. 35: 517-529 (2017) - [j28]Gang Wang, Yalin Wang:
Towards a Holistic Cortical Thickness Descriptor: Heat Kernel-Based Grey Matter Morphology Signatures. NeuroImage 147: 360-380 (2017) - [j27]Chao Huang, Paul M. Thompson, Yalin Wang, Yang Yu, Jingwen Zhang, Dehan Kong, Rivka R. Colen, Rebecca C. Knickmeyer, Hongtu Zhu, Alzheimer's Disease Neuroimaging Initiative:
FGWAS: Functional genome wide association analysis. NeuroImage 159: 107-121 (2017) - [j26]Rui Shi, Wei Zeng, Zhengyu Su, Jian Jiang, Hanna Damasio, Zhonglin Lu, Yalin Wang, Shing-Tung Yau, Xianfeng Gu:
Hyperbolic Harmonic Mapping for Surface Registration. IEEE Trans. Pattern Anal. Mach. Intell. 39(5): 965-980 (2017) - [c78]Niharika Gajawelli, Sean C. L. Deoni, Holly Dirks, Douglas C. Dean III, Jonathan O'Muircheartaigh, Yalin Wang, Marvin D. Nelson, Olivier Coulon, Natasha Leporé:
Central sulcus development in early childhood. EMBC 2017: 161-164 - [c77]Roza M. Vlasova, Yalin Wang, Holly Dirks, Douglas C. Dean III, Jonathan O'Muircheartaigh, Sara Gonzalez, Binh Kien Nguyen, Marvin D. Nelson, Sean C. L. Deoni, Natasha Leporé:
Contribution to speech development of the right anterior putamen revealed with multivariate tensor-based morphometry. EMBC 2017: 3085-3087 - [c76]Liang Mi, Wen Zhang, Junwei Zhang, Yonghui Fan, Dhruman Goradia, Kewei Chen, Eric M. Reiman, Xianfeng Gu, Yalin Wang:
An Optimal Transportation Based Univariate Neuroimaging Index. ICCV 2017: 182-191 - [c75]Xiaokang Yu, Na Lei, Yalin Wang, Xianfeng Gu:
Intrinsic 3D Dynamic Surface Tracking based on Dynamic Ricci Flow and Teichmüller Map. ICCV 2017: 5400-5408 - [c74]Jie Zhang, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline. IPMI 2017: 184-197 - [c73]Jie Zhang, Yonghui Fan, Qingyang Li, Paul M. Thompson, Jieping Ye, Yalin Wang:
Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding. ISBI 2017: 446-450 - [c72]Wen Zhang, Jie Shi, Jun Yu, Liang Zhan, Paul M. Thompson, Yalin Wang:
Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance. ISBI 2017: 520-524 - [c71]Zane Chou, Natacha Paquette, Bhavana Ganesh, Yalin Wang, Rafael Ceschin, Marvin D. Nelson, Luke Macyszyn, Bilwaj Gaonkar, Ashok Panigrahy, Natasha Leporé:
Bayesian automated cortical segmentation for neonatal MRI. SIPAIM 2017: 105720R - [c70]Niharika Gajawelli, Sean C. L. Deoni, Jie Shi, Holly Dirks, Marius George Linguraru, Marvin D. Nelson, Yalin Wang, Natasha Leporé:
Cranial thickness changes in early childhood. SIPAIM 2017: 105720O - [c69]Shibani Singh, Anant Srivastava, Liang Mi, Richard J. Caselli, Kewei Chen, Dhruman Goradia, Eric M. Reiman, Yalin Wang:
Deep-learning-based classification of FDG-PET data for Alzheimer's disease categories. SIPAIM 2017: 105720J - [i3]Qingyang Li, Dajiang Zhu, Jie Zhang, Derrek Paul Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang:
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression. CoRR abs/1704.08383 (2017) - [i2]Jie Zhang, Qingyang Li, Richard J. Caselli, Jieping Ye, Yalin Wang:
Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images. CoRR abs/1709.00042 (2017) - 2016
- [c68]Jie Shi, Wen Zhang, Yalin Wang:
Shape Analysis with Hyperbolic Wasserstein Distance. CVPR 2016: 5051-5061 - [c67]Wen Zhang, Jie Shi, Cynthia M. Stonnington, Robert J. Bauer, Boris A. Gutman, Kewei Chen, Paul M. Thompson, Eric M. Reiman, Richard J. Caselli, Yalin Wang:
Morphometric analysis of hippocampus and lateral ventricle reveals regional difference between cognitively stable and declining persons. ISBI 2016: 14-18 - [c66]Jie Zhang, Cynthia M. Stonnington, Qingyang Li, Jie Shi, Robert J. Bauer, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Paul M. Thompson, Jieping Ye, Yalin Wang:
Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline. ISBI 2016: 646-650 - [c65]Jie Zhang, Jie Shi, Cynthia M. Stonnington, Qingyang Li, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. MICCAI (1) 2016: 326-334 - [c64]Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang:
Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. MICCAI (1) 2016: 335-343 - [i1]Qingyang Li, Tao Yang, Liang Zhan, Derrek P. Hibar, Neda Jahanshad, Yalin Wang, Jieping Ye, Paul M. Thompson, Jie Wang:
Large-scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. CoRR abs/1608.07251 (2016) - 2015
- [j25]Gang Wang, Xiaofeng Zhang, Qingtang Su, Jie Shi, Richard J. Caselli, Yalin Wang:
A novel cortical thickness estimation method based on volumetric Laplace-Beltrami operator and heat kernel. Medical Image Anal. 22(1): 1-20 (2015) - [j24]Jie Shi, Cynthia M. Stonnington, Paul M. Thompson, Kewei Chen, Boris Gutman, Cole Reschke, Leslie C. Baxter, Eric M. Reiman, Richard J. Caselli, Yalin Wang:
Studying ventricular abnormalities in mild cognitive impairment with hyperbolic Ricci flow and tensor-based morphometry. NeuroImage 104: 1-20 (2015) - [j23]Jie Shi, Olivier Collignon, Liang Xu, Gang Wang, Yue Kang, Franco Leporé, Yi Lao, Anand A. Joshi, Natasha Leporé, Yalin Wang:
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 13(3): 321-336 (2015) - [j22]Zhengyu Su, Yalin Wang, Rui Shi, Wei Zeng, Jian Sun, Feng Luo, Xianfeng Gu:
Optimal Mass Transport for Shape Matching and Comparison. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2246-2259 (2015) - [c63]Niharika Gajawelli, Sean C. L. Deoni, Holly Dirks, Douglas C. Dean III, Jonathan O'Muircheartaigh, Siddhant Sawardekar, Andrea Ezis, Yalin Wang, Marvin D. Nelson, Olivier Coulon, Natasha Leporé:
Characterization of the central sulcus in the brain in early childhood. EMBC 2015: 149-152 - [c62]Zhengyu Su, Wei Zeng, Yalin Wang, Zhonglin Lu, Xianfeng Gu:
Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis. IPMI 2015: 411-423 - [c61]Benjamin S. C. Wade, Victor G. Valcour, Lauren Wendelken-Riegelhaupt, Pardis Esmaeili-Firidouni, Shantanu H. Joshi, Yalin Wang, Paul M. Thompson:
Mapping abnormal subcortical brain morphometry in an elderly HIV+ cohort. ISBI 2015: 971-975 - [c60]Tao Yang, Jie Wang, Qian Sun, Derrek P. Hibar, Neda Jahanshad, Li Liu, Yalin Wang, Liang Zhan, Paul M. Thompson, Jieping Ye:
Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening. ISBI 2015: 985-989 - [c59]Boris A. Gutman, Neda Jahanshad, Christopher R. K. Ching, Yalin Wang, Peter V. Kochunov, Thomas E. Nichols, Paul M. Thompson:
Medial demons registration localizes the degree of genetic influence over subcortical shape variability: An N= 1480 meta-analysis. ISBI 2015: 1402-1406 - [c58]Benjamin S. C. Wade, Victor G. Valcour, Edgar Busovaca, Pardis Esmaeili-Firidouni, Shantanu H. Joshi, Yalin Wang, Paul M. Thompson:
Subcortical shape and volume abnormalities in an elderly HIV+ cohort. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94171S - [c57]Gang Wang, Yalin Wang:
Multi-scale Heat Kernel Based Volumetric Morphology Signature. MICCAI (3) 2015: 751-759 - 2014
- [j21]Rashmi Dubey, Jiayu Zhou, Yalin Wang, Paul M. Thompson, Jieping Ye:
Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study. NeuroImage 87: 220-241 (2014) - [j20]Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, Jieping Ye:
Bi-level multi-source learning for heterogeneous block-wise missing data. NeuroImage 102: 192-206 (2014) - [c56]Fernando Yepes-Calderon, Fabian Pedregosa, Bertrand Thirion, Yalin Wang, Natasha Leporé:
Automatic pathology classification using a single feature machine learning support - vector machines. Computer-Aided Diagnosis 2014: 903524 - [c55]Duyan Ta, Jie Shi, Brian Barton, Alyssa A. Brewer, Zhonglin Lu, Yalin Wang:
Characterizing human retinotopic mapping with conformal geometry: a preliminary study. Image Processing 2014: 90342A - [c54]Sinchai Tsao, Niharika Gajawelli, Jiayu Zhou, Jie Shi, Jieping Ye, Yalin Wang, Natasha Leporé:
Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso. Image Processing 2014: 90342L - [c53]Yi Lao, Niharika Gajawelli, Lauren Haas, Bryce Wilkins, Darryl Hwang, Sinchai Tsao, Yalin Wang, Meng Law, Natasha Leporé:
3D pre- versus post-season comparisons of surface and relative pose of the corpus callosum in contact sport athletes. Image Processing 2014: 90344E - 2013
- [j19]Wei Zeng, Rui Shi, Yalin Wang, Shing-Tung Yau, Xianfeng Gu:
Teichmüller Shape Descriptor and Its Application to Alzheimer's Disease Study. Int. J. Comput. Vis. 105(2): 155-170 (2013) - [j18]Boris Gutman, Xue Hua, Priya Rajagopalan, Yi-Yu Chou, Yalin Wang, Igor Yanovsky, Arthur W. Toga, Clifford R. Jack Jr., Michael W. Weiner, Paul M. Thompson:
Maximizing power to track Alzheimer's disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features. NeuroImage 70: 386-401 (2013) - [j17]Yalin Wang, Lei Yuan, Jie Shi, Alexander Greve, Jieping Ye, Arthur W. Toga, Allan L. Reiss, Paul M. Thompson:
Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis. NeuroImage 74: 209-230 (2013) - [j16]Jie Shi, Paul M. Thompson, Boris Gutman, Yalin Wang:
Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus. NeuroImage 78: 111-134 (2013) - [c52]Zhengyu Su, Wei Zeng, Rui Shi, Yalin Wang, Jian Sun, Xianfeng Gu:
Area Preserving Brain Mapping. CVPR 2013: 2235-2242 - [c51]Rui Shi, Wei Zeng, Zhengyu Su, Hanna Damasio, Zhonglin Lu, Yalin Wang, Shing-Tung Yau, Xianfeng Gu:
Hyperbolic Harmonic Mapping for Constrained Brain Surface Registration. CVPR 2013: 2531-2538 - [c50]Rui Shi, Wei Zeng, Zhengyu Su, Yalin Wang, Hanna Damasio, Zhonglin Lu, Shing-Tung Yau, Xianfeng Gu:
Hyperbolic Harmonic Brain Surface Registration with Curvature-Based Landmark Matching. IPMI 2013: 159-170 - [c49]Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, Jieping Ye:
Multi-source learning with block-wise missing data for Alzheimer's disease prediction. KDD 2013: 185-193 - [c48]Yi Lao, Jie Shi, Yalin Wang, Rafael Ceschin, Darryl Hwang, Marvin D. Nelson, Ashok Panigrahy, Natasha Leporé:
Statistical Analysis of Relative Pose of the Thalamus in Preterm Neonates. CLIP 2013: 1-9 - [c47]Gang Wang, Xiaofeng Zhang, Qingtang Su, Jiannong Chen, Lili Wang, Yunyan Ma, Qiming Liu, Liang Xu, Jie Shi, Yalin Wang:
A Heat Kernel Based Cortical Thickness Estimation Algorithm. MBIA 2013: 233-245 - 2012
- [j15]Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A. Narayan, Jieping Ye:
Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data. NeuroImage 61(3): 622-632 (2012) - [j14]Yalin Wang, Jie Shi, Xiaotian Yin, Xianfeng Gu, Tony F. Chan, Shing-Tung Yau, Arthur W. Toga, Paul M. Thompson:
Brain Surface Conformal Parameterization With the Ricci Flow. IEEE Trans. Medical Imaging 31(2): 251-264 (2012) - [c46]Jie Shi, Yalin Wang, Rafael Ceschin, Xing An, Marvin D. Nelson, Ashok Panigrahy, Natasha Leporé:
Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen. APSIPA 2012: 1-8 - [c45]Vivek Nandakumar, Xing An, Yalin Wang, Roger H. Johnson, Deirdre R. Meldrum:
Conformal mapping of nuclei in 3D tomographic cell images to assess shape heterogeneity. ISBI 2012: 222-225 - [c44]Boris Gutman, Yalin Wang, Priya Rajagopalan, Arthur W. Toga, Paul M. Thompson:
Shape matching with medial curves and 1-D group-wise registration. ISBI 2012: 716-719 - [c43]Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A. Narayan, Jieping Ye:
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data. KDD 2012: 1149-1157 - [c42]Jie Shi, Paul M. Thompson, Yalin Wang:
Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry. MBIA 2012: 61-76 - [c41]Xing An, Zhiwen Liu, Yonggang Shi, Ning Li, Yalin Wang, Shantanu H. Joshi:
Modeling Dynamic Cellular Morphology in Images. MICCAI (1) 2012: 340-347 - 2011
- [j13]Yalin Wang, Yang Song, Priya Rajagopalan, Tuo An, Krystal Liu, Yi-Yu Chou, Boris Gutman, Arthur W. Toga, Paul M. Thompson:
Surface-based TBM boosts power to detect disease effects on the brain: An N = 804 ADNI study. NeuroImage 56(4): 1993-2010 (2011) - [c40]Jie Shi, Paul M. Thompson, Yalin Wang:
Human Brain Mapping with Conformal Geometry and Multivariate Tensor-Based Morphometry. MBIA 2011: 126-134 - 2010
- [j12]Yalin Wang, Jie Zhang, Boris Gutman, Tony F. Chan, James T. Becker, Howard Aizenstein, Oscar L. Lopez, Robert J. Tamburo, Arthur W. Toga, Paul M. Thompson:
Multivariate tensor-based morphometry on surfaces: Application to mapping ventricular abnormalities in HIV/AIDS. NeuroImage 49(3): 2141-2157 (2010) - [j11]Lok Ming Lui, Sheshadri R. Thiruvenkadam, Yalin Wang, Paul M. Thompson, Tony F. Chan:
Optimized Conformal Surface Registration with Shape-based Landmark Matching. SIAM J. Imaging Sci. 3(1): 52-78 (2010)
2000 – 2009
- 2009
- [c39]Yalin Wang, Xianfeng Gu, Tony F. Chan, Paul M. Thompson:
Shape analysis with conformal invariants for multiply connected domains and its application to analyzing brain morphology. CVPR 2009: 202-209 - [c38]Yalin Wang, Tony F. Chan, Arthur W. Toga, Paul M. Thompson:
Shape analysis with multivariate tensor-based morphometry and holomorphic differentials. ICCV 2009: 2349-2356 - [c37]Yalin Wang, Wei Dai, Yi-Yu Chou, Xianfeng Gu, Tony F. Chan, Arthur W. Toga, Paul M. Thompson:
Studying brain morphometry using conformal equivalence class. ICCV 2009: 2365-2372 - [c36]Yalin Wang, Jie Zhang, Tony F. Chan, Arthur W. Toga, Paul M. Thompson:
Multivariate Tensor-Based Morphometry on Surfaces: Application to Mapping Ventricular Changes in HIV/AIDS. ISBI 2009: 129-132 - [c35]Bin Dong, Yu Mao, Ivo D. Dinov, Zhuowen Tu, Yonggang Shi, Yalin Wang, Arthur W. Toga:
Wavelet-Based Representation of Biological Shapes. ISVC (1) 2009: 955-964 - [c34]Yalin Wang, Wei Dai, Xianfeng Gu, Tony F. Chan, Shing-Tung Yau, Arthur W. Toga, Paul M. Thompson:
Teichmüller Shape Space Theory and Its Application to Brain Morphometry. MICCAI (1) 2009: 133-140 - [c33]Yalin Wang, Tony F. Chan, Arthur W. Toga, Paul M. Thompson:
Multivariate Tensor-Based Brain Anatomical Surface Morphometry via Holomorphic One-Forms. MICCAI (1) 2009: 337-344 - 2008
- [j10]Jeffrey Kwan, Lok Ming Lui, Yalin Wang, Shing-Tung Yau:
Computation of curvatures using conformal parameterization. Commun. Inf. Syst. 8(1): 1-16 (2008) - [c32]Yalin Wang, Xianfeng Gu, Tony F. Chan, Paul M. Thompson, Shing-Tung Yau:
Brain surface conformal parameterization with the slit mapping. ISBI 2008: 448-451 - [c31]Lok Ming Lui, Sheshadri R. Thiruvenkadam, Yalin Wang, Tony F. Chan, Paul M. Thompson:
Optimized Conformal Parameterization of Cortical Surfaces Using Shape Based Matching of Landmark Curves. MICCAI (1) 2008: 494-501 - [c30]Yalin Wang, Xianfeng Gu, Tony F. Chan, Paul M. Thompson, Shing-Tung Yau:
Conformal Slit Mapping and Its Applications to Brain Surface Parameterization. MICCAI (1) 2008: 585-593 - 2007
- [j9]Yalin Wang, Lok Ming Lui, Xianfeng Gu, Kiralee M. Hayashi, Tony F. Chan, Arthur W. Toga, Paul M. Thompson, Shing-Tung Yau:
Brain Surface Conformal Parameterization Using Riemann Surface Structure. IEEE Trans. Medical Imaging 26(6): 853-865 (2007) - [c29]Yalin Wang, Xianfeng Gu, Tony F. Chan, Paul M. Thompson, Shing-Tung Yau:
Brain Surface Conformal Parameterization with the Ricci Flow. ISBI 2007: 1312-1315 - [c28]Boris Gutman, Yalin Wang, Lok Ming Lui, Tony F. Chan, Paul M. Thompson:
Hippocampal Surface Discrimination via Invariant Descriptors of Spherical Conformals Maps. ISBI 2007: 1316-1319 - 2006
- [j8]Yalin Wang, Ihsin T. Phillips, Robert M. Haralick:
Document zone content classification and its performance evaluation. Pattern Recognit. 39(1): 57-73 (2006) - [c27]Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Thompson:
Automatic Landmark Tracking and its Application to the Optimization of Brain Conformal Mapping. CVPR (2) 2006: 1784-1792 - [c26]Boris Gutman, Yalin Wang, Lok Ming Lui, Tony F. Chan, Paul M. Thompson:
Hippocampal Surface Analysis Using Spherical Harmonic Function Applied to Surface Conformal Mapping. ICPR (3) 2006: 964-967 - [c25]Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Thompson:
Automatic landmark tracking applied to optimize brain conformal mapping. ISBI 2006: 205-208 - [c24]Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Thompson:
A Landmark-Based Brain Conformal Parametrization with Automatic Landmark Tracking Technique. MICCAI (2) 2006: 308-315 - [c23]Yalin Wang, Xianfeng Gu, Tony F. Chan, Paul M. Thompson, Shing-Tung Yau:
Brain Surface Conformal Parameterization with Algebraic Functions. MICCAI (2) 2006: 946-954 - 2005
- [c22]Yalin Wang, Lok Ming Lui, Tony F. Chan, Paul M. Thompson:
Combination of Brain Conformal Mapping and Landmarks: A Variational Approach. Computer Graphics and Imaging 2005: 70-75 - [c21]Yalin Wang, Xianfeng Gu, Kiralee M. Hayashi, Tony F. Chan, Paul M. Thompson, Shing-Tung Yau:
Brain Surface Conformal Parameterization. Computer Graphics and Imaging 2005: 76-81 - [c20]Yalin Wang, Ming-Chang Chiang, Paul M. Thompson:
3D Surface Matching with Mutual Information and Riemann Surface Structures. Computer Graphics and Imaging 2005: 94-99 - [c19]Yalin Wang, Ming-Chang Chiang, Paul M. Thompson:
Mutual Information-Based 3D Surface Matching with Applications to Face Recognition and Brain Mapping. ICCV 2005: 527-534 - [c18]Yalin Wang, Xianfeng Gu, Kiralee M. Hayashi, Tony F. Chan, Paul M. Thompson, Shing-Tung Yau:
Surface Parameterization Using Riemann Surface Structure. ICCV 2005: 1061-1066 - [c17]Yalin Wang, Xianfeng Gu, Kiralee M. Hayashi, Tony F. Chan, Paul M. Thompson, Shing-Tung Yau:
Brain Surface Parameterization Using Riemann Surface Structure. MICCAI (2) 2005: 657-665 - [c16]Yalin Wang, Ming-Chang Chiang, Paul M. Thompson:
Automated Surface Matching Using Mutual Information Applied to Riemann Surface Structures. MICCAI (2) 2005: 666-674 - [c15]Yalin Wang, Lok Ming Lui, Tony F. Chan, Paul M. Thompson:
Optimization of Brain Conformal Mapping with Landmarks. MICCAI (2) 2005: 675-683 - [c14]Lok Ming Lui, Yalin Wang, Tony F. Chan:
Solving PDEs on Manifolds with Global Conformal Parametriazation. VLSM 2005: 307-319 - 2004
- [j7]Xianfeng Gu, Miao Jin, Yalin Wang, Shing-Tung Yau:
Optimal Global Conformal Surface Parameterization for Visualization. Commun. Inf. Syst. 4(2): 117-134 (2004) - [j6]Xianfeng Gu, Yalin Wang, Shing-Tung Yau:
Surface Segmentation Using Global Conformal Structure. Commun. Inf. Syst. 4(2): 165-180 (2004) - [j5]Yalin Wang, Ihsin T. Phillips, Robert M. Haralick:
Table structure understanding and its performance evaluation. Pattern Recognit. 37(7): 1479-1497 (2004) - [j4]Xianfeng Gu, Yalin Wang, Tony F. Chan, Paul M. Thompson, Shing-Tung Yau:
Genus zero surface conformal mapping and its application to brain surface mapping. IEEE Trans. Medical Imaging 23(8): 949-958 (2004) - [c13]Yalin Wang, Xianfeng Gu, Tony F. Chan, Paul M. Thompson, Shing-Tung Yau:
Volumetric Harmonic Brain Mapping. ISBI 2004: 1275-1278 - [c12]Yalin Wang, Xianfeng Gu, Tony F. Chan, Paul M. Thompson, Shing-Tung Yau:
Intrinsic brain surface conformal mapping using a variational method. Image Processing 2004 - [c11]Miao Jin, Yalin Wang, Shing-Tung Yau, Xianfeng Gu:
Optimal Global Conformal Surface Parameterization. IEEE Visualization 2004: 267-274 - 2003
- [j3]Xianfeng Gu, Yalin Wang, Shing-Tung Yau:
Computing Conformal Invariants: Period Matrices. Commun. Inf. Syst. 3(3): 153-170 (2003) - [j2]Xianfeng Gu, Yalin Wang, Shing-Tung Yau:
Geometric Compression Using Riemann Surface Structure. Commun. Inf. Syst. 3(3): 171-182 (2003) - [j1]Xianfeng Gu, Yalin Wang, Shing-Tung Yau:
Volumetric Harmonic Map. Commun. Inf. Syst. 3(3): 191-202 (2003) - [c10]Xianfeng Gu, Yalin Wang, Tony F. Chan, Paul M. Thompson, Shing-Tung Yau:
Genus Zero Surface Conformal Mapping and Its Application to Brain Surface Mapping. IPMI 2003: 172-184 - [p1]Yalin Wang, Jianying Hu:
Automatic Table Detection in HTML Documents. Web Document Analysis 2003: 135-154 - 2002
- [c9]Yalin Wang, Ihsin T. Phillips, Robert M. Haralick:
A Study on the Document Zone Content Classification Problem. Document Analysis Systems 2002: 212-223 - [c8]Yalin Wang, Jianying Hu:
Detecting Tables in HTML Documents. Document Analysis Systems 2002: 249-260 - [c7]Yalin Wang, Ihsin T. Phillips, Robert M. Haralick:
Table Detection via Probability Optimization. Document Analysis Systems 2002: 272-282 - [c6]Yalin Wang, Ihsin T. Phillips, Robert M. Haralick:
A Method for Document Zone Content Classification. ICPR (3) 2002: 196- - [c5]Yalin Wang, Jianying Hu:
A machine learning based approach for table detection on the web. WWW 2002: 242-250 - 2001
- [c4]Yalin Wang, Robert M. Haralick, Ihsin T. Phillips:
Automatic Table Ground Truth Generation and a Background-Analysis-Based Table Structure Extraction Method. ICDAR 2001: 528-532 - [c3]Yalin Wang, Robert M. Haralick, Ihsin T. Phillips:
Zone Content Classification and its Performance Evaluation. ICDAR 2001: 540-544 - 2000
- [c2]Yalin Wang, Robert M. Haralick, Ihsin T. Phillips:
Statistical-Based Approach to Word Segmentation. ICPR 2000: 4555-4558 - [c1]Selim Aksoy, Ming Ye, Michael L. Schauf, Mingzhou Song, Yalin Wang, Robert M. Haralick, Jim R. Parker, Juraj Pivovarov, Dominik Royko, Changming Sun, Gunnar Farnebäck:
Algorithm Performance Contest. ICPR 2000: 4870-4876
Coauthor Index
Xianfeng Gu
aka: Xianfeng David Gu
aka: Xianfeng David Gu
Boris Gutman
aka: Boris A. Gutman
aka: Boris A. Gutman
Eric Reiman
aka: Eric M. Reiman
aka: Eric M. Reiman
[j41] [c111] [i31] [c106] [i23] [i20] [j35] [j32] [c104] [i19] [i17] [c99] [c93] [i13] [c90] [c89] [c82] [j27] [c74] [c73] [c72] [i3] [c67] [c66] [c65] [c64] [i1] [j24] [c61] [c60] [c59] [c58] [j21] [j20] [j18] [j17] [j16] [c49] [j15] [j14] [c44] [c43] [c42] [j13] [c40] [j12] [j11] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [c31] [c30] [j9] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [j4] [c13] [c12] [c10]
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last updated on 2025-02-20 20:40 CET by the dblp team
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