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ORCIDYalin Wang 0001
Person information
- affiliation: Arizona State University, Tempe, AZ, USA
Other persons with the same name
- Yalin Wang 0002 — Texas State University, San Marcos, TX, USA
- Yalin Wang 0003
![[0000-0002-1876-7707]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1876-7707")
— Central South University, Changsha, China (and 1 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
- 2023
[j41]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)- [j40]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) - [c111]Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang:
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. IPMI 2023: 303-315 - [c110]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 - [c109]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 - [c108]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 - [c107]Mohammad Farazi, Wenhui Zhu, Zhangsihao Yang, Yalin Wang:
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence. WACV 2023: 3145-3154 - [i31]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) - [i30]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) - [i29]Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang:
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. CoRR abs/2302.03830 (2023) - [i28]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) - [i27]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) - [i26]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) - [i25]Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Yalin Wang:
PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers. CoRR abs/2308.10112 (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 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. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94171S - [c57]