Yalin Wang

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 112

Top Venues

Publications

Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. CoRR (2024)
Zhangsihao Yang, Kaize Ding, Huan Liu, Yalin Wang
MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders. WACV (2024)
Yujian Xiong, Wenhui Zhu, Zhonglin Lu, Yalin Wang
Reconstructing Retinal Visual Images from 3T fMRI Data Enhanced by Unsupervised Learning. CoRR (2024)
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 (2024)
Yanshuai Tu, Xin Li, Zhonglin Lu, Yalin Wang
Adaptive smoothing of retinotopic maps based on Teichmüller parametrization. Medical Image Anal. 93 (2024)
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 (2024)
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 (2024)
Mohammad Farazi, Wenhui Zhu, Zhangsihao Yang, Yalin Wang
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence. WACV (2023)
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 (2023)
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)
Yujian Xiong, Yanshuai Tu, Zhonglin Lu, Yalin Wang
Characterizing visual cortical magnification with topological smoothing and optimal transportation. Medical Imaging: Image Processing (2023)
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)
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 (2023)
Huayu Li, Wenhui Zhu, Xiwen Chen, Yalin Wang
Prediction of Spherical Equivalent with Vanilla ResNet. MMAC@MICCAI (2023)
Rahimeh Rouhi, Jeffrey Tanedo, Iris Miao Wei, Malia Valder, Shreyash Zanjal, Niharika Gajawelli, Marvin Nelson, Sean C. L. Deoni, Yalin Wang, Marius George Linguraru, Natasha Leporé
Automated Segmentation of the Hippocampus in Pediatric Imaging. SIPAIM (2023)
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 (2023)
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 (2023)
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 (2023)
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) (2023)
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)
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)
Wenhui Zhu, Peijie Qiu, Natasha Leporé, Oana M. Dumitrascu, Yalin Wang
NNMobile-Net: Rethinking CNN Design for Deep Learning-Based Retinopathy Research. CoRR (2023)
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)
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 (2023)
Peijie Qiu, Pan Xiao, Wenhui Zhu, Yalin Wang, Aristeidis Sotiras
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification. CoRR (2023)
Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation. CoRR (2023)
Wenhui Zhu, Peijie Qiu, Oana M. Dumitrascu, Yalin Wang
PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers. CoRR (2023)
Zhangsihao Yang, Mengwei Ren, Kaize Ding, Guido Gerig, Yalin Wang
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation. NeurIPS (2023)
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 (2023)
Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. CoRR (2023)
Mohammad Farazi, Zhangsihao Yang, Wenhui Zhu, Peijie Qiu, Yalin Wang
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes. IPMI (2023)
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 (2022)
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)
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 (2022)
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 (2022)
Yonghui Fan, Yalin Wang
Geometry-Aware Hierarchical Bayesian Learning on Manifolds. WACV (2022)
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 (2022)
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) (2022)
Mohammad Farazi, Wenhui Zhu, Zhangsihao Yang, Yalin Wang
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence. CoRR (2022)
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 (2022)
Duyan Ta, Yanshuai Tu, Zhonglin Lu, Yalin Wang
Quantitative characterization of the human retinotopic map based on quasiconformal mapping. Medical Image Anal. 75 (2022)
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)
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 (2021)
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)
Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang
Topological Receptive Field Model for Human Retinotopic Mapping. MICCAI (7) (2021)
Yonghui Fan, Yalin Wang
Geometry-Aware Hierarchical Bayesian Learning on Manifolds. CoRR (2021)
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 (2021)
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 (2021)
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 (2021)
Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang
Topology-preserving smoothing of retinotopic maps. PLoS Comput. Biol. 17 (8) (2021)
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) (2021)
Zhangsihao Yang, Jianfeng Wu, Paul M. Thompson, Yalin Wang
Deep Learning on SDF for Classifying Brain Biomarkers. EMBC (2021)
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 (2021)
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 (2021)
Wen Zhang, Liang Zhan, Paul Thompson, Yalin Wang
Deep Representation Learning For Multimodal Brain Networks. CoRR (2020)
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 (2020)
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)
Liang Mi, Wen Zhang, Yalin Wang
Regularized Wasserstein Means for Aligning Distributional Data. AAAI (2020)
Yonghui Fan, Yalin Wang
Convolutional Bayesian Models for Anatomical Landmarking on Multi-dimensional Shapes. MICCAI (4) (2020)
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) (2020)
Jie Zhang, Yalin Wang
Temporally Adaptive-Dynamic Sparse Network for Modeling Disease Progression. ISBI (2020)
Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang
Diffeomorphic Smoothing for Retinotopic Mapping. ISBI (2020)
Jie Shi, Yalin Wang
Hyperbolic Wasserstein Distance for Shape Indexing. IEEE Trans. Pattern Anal. Mach. Intell. 42 (6) (2020)
Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang
Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic Mapping. MICCAI (7) (2020)
Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang
Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmuller Map in Retinotopic Mapping. CoRR (2020)
Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang
Regularize, Expand and Compress: NonExpansive Continual Learning. WACV (2020)
Liang Mi, Tianshu Yu, José Bento, Wen Zhang, Baoxin Li, Yalin Wang
Variational Wasserstein Barycenters for Geometric Clustering. CoRR (2020)
Wen Zhang, Yalin Wang
Deep Multimodal Brain Network Learning for Joint Analysis of Structural Morphometry and Functional Connectivity. ISBI (2020)
Wen Zhang, Liang Zhan, Paul M. Thompson, Yalin Wang
Deep Representation Learning for Multimodal Brain Networks. MICCAI (7) (2020)
Yanshuai Tu, Duyan Ta, Xianfeng David Gu, Zhonglin Lu, Yalin Wang
Diffeomorphic Registration for Retinotopic Mapping Via Quasiconformal Mapping. ISBI (2020)
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)
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 (2019)
Wen Zhang, Liang Mi, Paul M. Thompson, Yalin Wang
A Geometric Framework for Feature Mappings in Multimodal Fusion of Brain Image Data. IPMI (2019)
Jie Zhang, Yalin Wang
Continually Modeling Alzheimer's Disease Progression via Deep Multi-order Preserving Weight Consolidation. MICCAI (2) (2019)
Wen Zhang, Yalin Wang
Geometric Brain Surface Network For Brain Cortical Parcellation. CoRR (2019)
Wen Zhang, Kai Shu, Huan Liu, Yalin Wang
Graph Neural Networks for User Identity Linkage. CoRR (2019)
Wen Zhang, Yalin Wang
Geometric Brain Surface Network for Brain Cortical Parcellation. GLMI@MICCAI (2019)
Jie Zhang, Xiaolong Wang, Dawei Li, Shalini Ghosh, Abhishek Kolagunda, Yalin Wang
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression. CoRR (2019)
Chengfeng Wen, Na Lei, Ming Ma, Xin Qi, Wen Zhang, Yalin Wang, Xianfeng Gu
Surface Foliation Based Brain Morphometry Analysis. MBIA/MFCA@MICCAI (2019)
Yonghui Fan, Gang Wang, Natasha Leporé, Yalin Wang
A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis. MICCAI (3) (2018)
Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. IJCAI (2018)
Chengfeng Wen, Na Lei, Ming Ma, Xin Qi, Wen Zhang, Yalin Wang, Xianfeng David Gu
Brain Morphometry Analysis with Surface Foliation Theory. CoRR (2018)
Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. CoRR (2018)
Wen Zhang, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang
Multimodal Fusion of Brain Networks with Longitudinal Couplings. MICCAI (3) (2018)
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)
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)
Liang Mi, Wen Zhang, Xianfeng Gu, Yalin Wang
Variational Wasserstein Clustering. ECCV (15) (2018)
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)
Liang Mi, Wen Zhang, Xianfeng Gu, Yalin Wang
Variational Wasserstein Clustering. CoRR (2018)
Liang Mi, Wen Zhang, Yalin Wang
Regularized Wasserstein Means Based on Variational Transportation. CoRR (2018)
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 (2017)
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)
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)
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)
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)
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) (2017)
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 (2017)
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 (2017)
Xiaokang Yu, Na Lei, Yalin Wang, Xianfeng Gu
Intrinsic 3D Dynamic Surface Tracking based on Dynamic Ricci Flow and Teichmüller Map. ICCV (2017)
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 (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yalin Wang