Guorong Wu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 137

Top Venues

Publications

Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics. IEEE Trans. Medical Imaging 43 (1) (2024)
Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim
Learning to Approximate Adaptive Kernel Convolution on Graphs. CoRR (2024)
Haixu Ma, Zhuoyu Shi, Minjeong Kim, Bin Liu, Patrick J. Smith, Yufeng Liu, Guorong Wu
Disentangling sex-dependent effects of APOE on diverse trajectories of cognitive decline in Alzheimer's disease. NeuroImage 292 (2024)
Tingting Dan, Mustafa Dere, Won Hwa Kim, Minjeong Kim, Guorong Wu
TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations. Medical Image Anal. 95 (2024)
Ziquan Wei, Tingting Dan, Guorong Wu
Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning. CoRR (2024)
Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim
Learning to Approximate Adaptive Kernel Convolution on Graphs. AAAI (2024)
Ziquan Wei, Tingting Dan, Jiaqi Ding, Mustafa Dere, Guorong Wu
A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images. MICCAI (4) (2023)
Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. NeurIPS (2023)
Ziquan Wei, Tingting Dan, Jiaqi Ding, Carolyn M. McCormick, Felix A. Kyere, Minjeong Kim, David Borland, Jason L. Stein, Guorong Wu
High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps. ISBI (2023)
Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation. MICCAI (3) (2023)
Huan Liu, Tingting Dan, Zhuobin Huang, Defu Yang, Won Hwa Kim, Minjeong Kim, Paul J. Laurienti, Guorong Wu
HoloBrain: A Harmonic Holography for Self-organized Brain Function. IPMI (2023)
Hongmin Cai, Zhixuan Zhou, Defu Yang, Guorong Wu, Jiazhou Chen
Discovering Brain Network Dysfunction in Alzheimer's Disease Using Brain Hypergraph Neural Network. MICCAI (5) (2023)
Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. CoRR (2023)
Hongmin Cai, Huan Liu, Defu Yang, Guorong Wu, Bin Hu, Jiazhou Chen
Estimating Outlier-Immunized Common Harmonic Waves for Brain Network Analyses on the Stiefel Manifold. IEEE J. Biomed. Health Informatics 27 (5) (2023)
Defu Yang, Hui Shen, Minghan Chen, Yitian Xue, Shuai Wang, Guorong Wu, Wentao Zhu
Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold. MICCAI (2) (2023)
Seunghun Baek, Injun Choi, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim
Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification. ISBI (2023)
Md Asadullah Turja, Martin Styner, Guorong Wu
DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics. MICCAI (8) (2023)
Md Asadullah Turja, Martin Styner, Guorong Wu
DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics. CoRR (2023)
Huan Liu, Hongmin Cai, Defu Yang, Wentao Zhu, Guorong Wu, Jiazhou Chen
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer's disease. Medical Image Anal. 87 (2023)
Hyuna Cho, Guorong Wu, Won Hwa Kim
Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis. MICCAI (2) (2023)
Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases. MICCAI (3) (2023)
Hongmin Cai, Tingting Dan, Zhuobin Huang, Guorong Wu
OSR-NET: Ordinary Differential Equation-Based Brain State Recognition Neural Network. ISBI (2023)
Joonhyuk Park, Yechan Hwang, Minjeong Kim, Moo K. Chung, Guorong Wu, Won Hwa Kim
Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis. MICCAI (5) (2023)
Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation. MICCAI (3) (2023)
Yue Guo, David Borland, Carolyn M. McCormick, Jason L. Stein, Guorong Wu, Ashok K. Krishnamurthy
Cell Counting with Inverse Distance Kernel and Self-supervised Learning. MOVI@MICCAI (2022)
Jiazhou Chen, Hongmin Cai, Defu Yang, Martin Styner, Guorong Wu, Alzheimer's Disease Neuroimaging Initiative
Characterizing the propagation pathway of neuropathological events of Alzheimer's disease using harmonic wavelet analysis. Medical Image Anal. 79 (2022)
Fan Yang, Guorong Wu, Won Hwa Kim
Disentangled Representation of Longitudinal Β-Amyloid for AD Via Sequential Graph Variational Autoencoder with Supervision. ISBI (2022)
Tingting Dan, Zhuobin Huang, Hongmin Cai, Guorong Wu
Manifold Learning in Detecting the Transitions of Dynamic Functional Connectivities Boosts Brain State-Specific Recognition. ISBI (2022)
Defu Yang, Jiazhou Chen, Chenggang Yan, Minjeong Kim, Paul J. Laurienti, Martin Styner, Guorong Wu
Group-Wise Hub Identification by Learning Common Graph Embeddings on Grassmannian Manifold. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Tingting Dan, Hongmin Cai, Zhuobin Huang, Paul J. Laurienti, Won Hwa Kim, Guorong Wu
Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition. MICCAI (8) (2022)
Injun Choi, Guorong Wu, Won Hwa Kim
How Much to Aggregate: Learning Adaptive Node-Wise Scales on Graphs for Brain Networks. MICCAI (1) (2022)
Enze Xu, Jingwen Zhang, Jiadi Li, Defu Yang, Guorong Wu, Minghan Chen
Pathology Steered Stratification Network for Subtype Identification in Alzheimer's Disease. CoRR (2022)
Yue Guo, Oleh Krupa, Jason L. Stein, Guorong Wu, Ashok K. Krishnamurthy
SAU-Net: A Unified Network for Cell Counting in 2D and 3D Microscopy Images. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Elodie Piot, Maria Bagonis, Guorong Wu, Juan Prieto, Martin Styner
CONTINUITY: CONnectivity Tool with INtegration of sUbcortical regions, regIstration and visualization of TractographY. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Tingting Dan, Zhuobin Huang, Hongmin Cai, Paul J. Laurienti, Guorong Wu
Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network. IEEE Trans. Medical Imaging 41 (10) (2022)
Defu Yang, Wenchao Li, Jingwen Zhang, Hui Shen, Minghan Chen, Wentao Zhu, Guorong Wu
A Neuropathological Hub Identification for Alzheimer's Disease Via joint Analysis of Topological Structure and Neuropathological Burden. ISBI (2022)
Tingsong Xiao, Lu Zeng, Xiaoshuang Shi, Xiaofeng Zhu, Guorong Wu
Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis. MICCAI (8) (2022)
Qing Liu, Defu Yang, Jingwen Zhang, Ziming Wei, Guorong Wu, Minghan Chen
Analyzing The Spatiotemporal Interaction And Propagation Of Atn Biomarkers In Alzheimer's Disease Using Longitudinal Neuroimaging Data. ISBI (2021)
Minjeong Kim, Defu Yang, Guorong Wu
Discovering Unprecedented Heuristics For Hub Identification By Joint Graph Embedding And Reinforcement Learning. ISBI (2021)
Rongyao Hu, Zi-Wen Peng, Xiaofeng Zhu, Jiangzhang Gan, Yonghua Zhu, Junbo Ma, Guorong Wu
Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification. IEEE Trans. Medical Imaging 40 (12) (2021)
Jiazhou Chen, Defu Yang, Hongmin Cai, Martin Styner, Guorong Wu
Discovering Spreading Pathways of Neuropathological Events in Alzheimer's Disease Using Harmonic Wavelets. IPMI (2021)
Minjeong Kim, Guorong Wu
Constructing Reliable Network Of Biomarker Covariance By Joint Data Harmonization And Graph Learning. ISBI (2021)
Andrew Zhen, Minjeong Kim, Guorong Wu
Disentangling The Spatio-Temporal Heterogeneity of Alzheimer's Disease Using A Deep Predictive Stratification Network. ISBI (2021)
Zhuobin Huang, Hongmin Cai, Tingting Dan, Yi Lin, Paul Laurienti, Guorong Wu
Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold. MICCAI (7) (2021)
Md Asadullah Turja, Guorong Wu, Defu Yang, Martin Andreas Styner
Learning the Latent Heat Diffusion Process through Structural Brain Network from Longitudinal β-Amyloid Data. MIDL (2021)
Jash Mirani, Nathaniel Fulmer, Md Asadullah Turja, Guorong Wu, Martin Styner
Extra axial cerebrospinal fluid volume and a diagnosis of Alzheimer's disease. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2021)
Xin Ma, Guorong Wu, Seong Jae Hwang, Won Hwa Kim
Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders. IPMI (2021)
Junbo Ma, Oleh Krupa, Madison Rose Glass, Carolyn M. McCormick, David Borland, Minjeong Kim, Jason L. Stein, Guorong Wu
3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images. IPMI (2021)
David Borland, Carolyn M. McCormick, Niyanta K. Patel, Oleh Krupa, Jessica T. Mory, Alvaro A. Beltran, Tala M. Farah, Carla F. Escobar-Tomlienovich, Sydney S. Olson, Minjeong Kim, Guorong Wu, Jason L. Stein
Segmentor: a tool for manual refinement of 3D microscopy annotations. BMC Bioinform. 22 (1) (2021)
Zhuobin Huang, Tingting Dan, Yi Lin, Jiazhou Chen, Hongmin Cai, Guorong Wu
Detecting Brain State Changes via Manifold Mean Shifting. BIBM (2021)
Fan Yang, Rui Meng, Hyuna Cho, Guorong Wu, Won Hwa Kim
Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study. MICCAI (2) (2021)
Defu Yang, Xiaofeng Zhu, Chenggang Yan, Zi-Wen Peng, Maria Bagonis, Paul J. Laurienti, Martin Styner, Guorong Wu
Joint hub identification for brain networks by multivariate graph inference. Medical Image Anal. 73 (2021)
Yi Lin, Defu Yang, Jia Hou, Chengang Yan, Minjeong Kim, Paul J. Laurienti, Guorong Wu
Learning dynamic graph embeddings for accurate detection of cognitive state changes in functional brain networks. NeuroImage 230 (2021)
Jiangzhang Gan, Zi-Wen Peng, Xiaofeng Zhu, Rongyao Hu, Junbo Ma, Guorong Wu
Brain functional connectivity analysis based on multi-graph fusion. Medical Image Anal. 71 (2021)
Jiazhou Chen, Guoqiang Han, Hongmin Cai, Defu Yang, Paul J. Laurienti, Martin Styner, Guorong Wu
Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses. IEEE Trans. Medical Imaging 40 (1) (2021)
Minjeong Kim, Chenggang Yan, Defu Yang, Peipeng Liang, Daniel I. Kaufer, Guorong Wu
Constructing Connectome Atlas by Graph Laplacian Learning. Neuroinformatics 19 (2) (2021)
Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Daniel Kaufer, Guorong Wu
Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data. Medical Image Anal. 67 (2021)
Jiazhou Chen, Guoqiang Han, Hongmin Cai, Junbo Ma, Minjeong Kim, Paul Laurienti, Guorong Wu
Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold. MICCAI (7) (2020)
Benjamin Leinwand, Guorong Wu, Vladas Pipiras
Characterizing Frequency-Selective Network Vulnerability for Alzheimer's Disease by Identifying Critical Harmonic Patterns. ISBI (2020)
Yueting Wang, Defu Yang, Quefeng Li, Daniel Kaufer, Martin Styner, Guorong Wu
Characterizing the Propagation Pattern of Neurodegeneration in Alzheimer's Disease by Longitudinal Network Analysis. ISBI (2020)
Yi Lin, Jia Hou, Paul J. Laurienti, Guorong Wu
Detecting Changes of Functional Connectivity by Dynamic Graph Embedding Learning. MICCAI (7) (2020)
Xin Ma, Guorong Wu, Won Hwa Kim
Enriching Statistical Inferences on Brain Connectivity for Alzheimer's Disease Analysis via Latent Space Graph Embedding. ISBI (2020)
Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Guorong Wu
Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-Wen Peng, Guorong Wu
Multi-graph Fusion for Functional Neuroimaging Biomarker Detection. IJCAI (2020)
Anqi Chen, Defu Yang, Chenggang Yan, Zi-Wen Peng, Minjeong Kim, Paul J. Laurienti, Guorong Wu
A Novel Spatio-Temporal Hub Identification Method for Dynamic Functional Networks. ISBI (2020)
Jiazhou Chen, Guoqiang Han, Hongmin Cai, Defu Yang, Paul J. Laurienti, Martin Styner, Guorong Wu
Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses. CoRR (2020)
Junbo Ma, Xiaofeng Zhu, Defu Yang, Jiazhou Chen, Guorong Wu
Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease Analysis. MICCAI (7) (2020)
Jingwen Zhang, Defu Yang, Wei He, Guorong Wu, Minghan Chen
A Network-Guided Reaction-Diffusion Model of AT[N] Biomarkers in Alzheimer's Disease. BIBE (2020)
Minjeong Kim, Amr Moussa, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu
Revealing Functional Connectivity by Learning Graph Laplacian. MICCAI (3) (2019)
Md Asadullah Turja, Leo Charles Peek Zsembik, Guorong Wu, Martin Styner
Constructing Consistent Longitudinal Brain Networks by Group-Wise Graph Learning. MICCAI (3) (2019)
Yue Guo, Qian Wang, Oleh Krupa, Jason L. Stein, Guorong Wu, Kira Bradford, Ashok K. Krishnamurthy
Cross Modality Microscopy Segmentation via Adversarial Adaptation. IWBBIO (2) (2019)
Ehsan Adeli, Kim-Han Thung, Le An, Guorong Wu, Feng Shi, Tao Wang, Dinggang Shen
Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises. IEEE Trans. Pattern Anal. Mach. Intell. 41 (2) (2019)
Minjeong Kim, Xiaofeng Zhu, Zi-Wen Peng, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu
Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network. MICCAI (3) (2019)
Yue Guo, Jason L. Stein, Guorong Wu, Ashok K. Krishnamurthy
SAU-Net: A Universal Deep Network for Cell Counting. BCB (2019)
Xin Ma, Guorong Wu, Won Hwa Kim
Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity. CoRR (2019)
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Daniel Kaufer, Guorong Wu
Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases. IEEE Trans. Medical Imaging 38 (2) (2019)
Defu Yang, Chenggang Yan, Feiping Nie, Xiaofeng Zhu, Md Asadullah Turja, Leo Charles Peek Zsembik, Martin Styner, Guorong Wu
Joint Identification of Network Hub Nodes by Multivariate Graph Inference. MICCAI (3) (2019)
Fatemeh Mokhtari, Milad I. Akhlaghi, Sean L. Simpson, Guorong Wu, Paul J. Laurienti
Sliding window correlation analysis: Modulating window shape for dynamic brain connectivity in resting state. NeuroImage 189 (2019)
Gerard Sanroma, Oualid M. Benkarim, Gemma Piella, Oscar Camara, Guorong Wu, Dinggang Shen, Juan Domingo Gispert, José Luis Molinuevo, Miguel Ángel González Ballester, Alzheimer's Disease Neuroimaging Initiative
Learning non-linear patch embeddings with neural networks for label fusion. Medical Image Anal. 44 (2018)
Guorong Wu, Brent C. Munsell, Paul Laurienti, Moo K. Chung
GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion. CNI@MICCAI (2018)
Luping Zhou, Islem Rekik, Chenggang Yan, Guorong Wu
Special Issue on High Performance Computing in Bio-medical Informatics. Neuroinformatics 16 (3-4) (2018)
Mahmoud Mostapha, Sun Hyung Kim, Guorong Wu, Leo Zsembik, Stephen M. Pizer, Martin Styner
Non-Euclidean, convolutional learning on cortical brain surfaces. ISBI (2018)
Fatemeh Mokhtari, Walter Jack Rejeski, Yingying Zhu, Guorong Wu, Sean L. Simpson, Jonathan H. Burdette, Paul J. Laurienti
Dynamic fMRI networks predict success in a behavioral weight loss program among older adults. NeuroImage 173 (2018)
Moo K. Chung, Yanli Wang, Guorong Wu
Discrete Heat Kernel Smoothing in Irregular Image Domains. EMBC (2018)
Jinpeng Zhang, Lichi Zhang, Lei Xiang, Yeqin Shao, Guorong Wu, Xiaodong Zhou, Dinggang Shen, Qian Wang
Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution. Pattern Recognit. 63 (2017)
Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Yanrong Guo, Guorong Wu, Dinggang Shen
Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis. Medical Image Anal. 41 (2017)
Chen Zu, Zhengxia Wang, Daoqiang Zhang, Peipeng Liang, Yonghong Shi, Dinggang Shen, Guorong Wu
Robust multi-atlas label propagation by deep sparse representation. Pattern Recognit. 63 (2017)
Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Jin Yan, Daniel Kaufer, Guorong Wu
Personalized Diagnosis for Alzheimer's Disease. MICCAI (3) (2017)
Qian Wang, Shaoyu Wang, Xiaofeng Zhu, Tianyi Liu, Zachary Humphrey, Vladimir Ghukasyan, Mike Conway, Erik Scott, Giulia Fragola, Kira Bradford, Mark J. Zylka, Ashok K. Krishnamurthy, Jason L. Stein, Guorong Wu
Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network. Patch-MI@MICCAI (2017)
Guorong Wu, Minjeong Kim, Qian Wang, Brent C. Munsell, Dinggang Shen
Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning". IEEE Trans. Biomed. Eng. 64 (1) (2017)
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu
A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity. IPMI (2017)
Yantao Song, Guorong Wu, Khosro Bahrami, Quan-Sen Sun, Dinggang Shen
Progressive multi-atlas label fusion by dictionary evolution. Medical Image Anal. 36 (2017)
Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen
Efficient Groupwise Registration for Brain MRI by Fast Initialization. MLMI@MICCAI (2017)
Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent C. Munsell, Guorong Wu
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning. Medical Image Anal. 39 (2017)
Pei Dong, Li Wang, Weili Lin, Dinggang Shen, Guorong Wu
Scalable joint segmentation and registration framework for infant brain images. Neurocomputing 229 (2017)
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Daniel Kaufer, Guorong Wu
A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases. IPMI (2017)
Lichi Zhang, Qian Wang, Yaozong Gao, Hongxin Li, Guorong Wu, Dinggang Shen
Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images. Neurocomputing 229 (2017)
Lifang Wei, Shunbo Hu, Yaozong Gao, Xiaohuan Cao, Guorong Wu, Dinggang Shen
Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life. MLMI@MICCAI (2016)
Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen
A dynamic tree-based registration could handle possible large deformations among MR brain images. Comput. Medical Imaging Graph. 52 (2016)
Brent C. Munsell, Guorong Wu, Yue Gao, Nicholas Desisto, Martin Styner
Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method. MICCAI (2) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Guorong Wu