Guorong Wu - RankMe

269 papers A* 14C 2Journal 95Unranked 149

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explore Brain-Inspired Machine Intelligence for Connecting Dots on Graphs Through Holographic Blueprint of Oscillatory Synchronization. CoRR Tingting Dan, Jiaqi Ding, Guorong Wu
2026	J	`jnl`	GeoDynamics: A Geometric State-Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds. CoRR Tingting Dan, Jiaqi Ding, Guorong Wu
2026	A*	`conf`	Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape. AAAI Ziquan Wei, Tingting Dan, Guorong Wu
2026	J	`jnl`	Machine learning on dynamic functional connectivity: Promise, pitfalls, and interpretations. Inf. Sci. Jiaqi Ding, Tingting Dan, Ziquan Wei, Paul J. Laurienti, Guorong Wu
2026	J	`jnl`	NeuroDetour: A neural pathway transformer for uncovering structural-functional coupling mechanisms in human connectome. Medical Image Anal. Ziquan Wei, Tingting Dan, Jiaqi Ding, Paul J. Laurienti, Guorong Wu
2026	J	`jnl`	Scanning the Horizon of Replicability in Neuroscience: A Recipe of Developing Replicable Deep Models for Functional Neuroimages. IEEE Trans. Biomed. Eng. Jiaqi Ding, Tingting Dan, Ziquan Wei, Paul J. Laurienti, Guorong Wu
2026	A*	`conf`	SyncBrain: Exploring Brain Functional Dynamics Through Neural Oscillatory Synchronization. AAAI Jiaqi Ding, Tingting Dan, Zhixuan Zhou, Guorong Wu
2025	—	`conf`	A Multi-layer Neural Transport Model for Characterizing Pathology Propagation in Neurodegenerative Diseases. IPMI (2) Haifeng Huang, Yi Wang, Tingting Dan, Yang Yang, Guorong Wu
2025	—	`conf`	A Novel Joint Multi-Graph Learning Framework for Dynamic Functional Connectivity Network Estimation Across Multiple Time Scale. ISBI Sumin Liu, Minghan Chen, Xin Cao, Zhe Sheng, Junmei Sun, Ju Zhan, Shuai Wang, Guorong Wu, Defu Yang
2025	J	`jnl`	A Novel Spatio-Temporal Hub Identification in Brain Networks by Learning Dynamic Graph Embedding on Grassmannian Manifolds. IEEE Trans. Medical Imaging Defu Yang, Hui Shen, Minghan Chen, Shuai Wang, Jiazhou Chen, Hongmin Cai, Xueli Chen, Guorong Wu, Wentao Zhu
2025	—	`conf`	Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer's Disease Conversion Prediction. MICCAI (7) Hyuna Cho, Hayoung Ahn, Guorong Wu, Won Hwa Kim
2025	—	`conf`	Brain-Environment Cross-Attention (BECA) Meta-matching: A New Perspective of Brain Connectome Zero-Shot Learning. MICCAI (12) Ziquan Wei, Tingting Dan, Guorong Wu
2025	A*	`conf`	BrainMAP: Learning Multiple Activation Pathways in Brain Networks. AAAI Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li
2025	A*	`conf`	Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies. ICLR Hyuna Cho, Ziquan Wei, Seungjoo Lee, Tingting Dan, Guorong Wu, Won Hwa Kim
2025	—	`conf`	Conditional Graph Diffusion with Topological Constraints for Brain Network Generation. MICCAI (12) Joonhyuk Park, Donghyun Lee, Guorong Wu, Won Hwa Kim
2025	J	`jnl`	De-Individualizing fMRI Signals via Mahalanobis Whitening and Bures Geometry. CoRR Aaron Jacobson, Tingting Dan, Martin Styner, Guorong Wu, Shahar Z. Kovalsky, Caroline Moosmueller
2025	—	`conf`	Explainable Deep Model for Understanding Neuropathological Events Through Neural Symbolic Regression. IPMI (2) Tingting Dan, Guorong Wu
2025	J	`jnl`	Harmonic Wavelet Neural Network for Discovering Neuropathological Propagation Patterns in Alzheimer's Disease. IEEE J. Biomed. Health Informatics Hongmin Cai, Ranran Deng, Defu Yang, Fa Zhang, Guorong Wu, Jiazhou Chen
2025	J	`jnl`	Identifying multilayer network hub by graph representation learning. Medical Image Anal. Defu Yang, Minjeong Kim, Yu Zhang, Guorong Wu
2025	J	`jnl`	Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape. CoRR Ziquan Wei, Tingting Dan, Guorong Wu
2025	J	`jnl`	Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification. CoRR Seunghun Baek, Injun Choi, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim
2025	J	`jnl`	Modality-Agnostic Style Transfer for Holistic Feature Imputation. CoRR Seunghun Baek, Jaeyoon Sim, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim
2025	J	`jnl`	NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis. CoRR Yexiao He, Ziyao Wang, Yuning Zhang, Tingting Dan, Tianlong Chen, Guorong Wu, Ang Li
2025	J	`jnl`	OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels. CoRR Seunghun Baek, Jaeyoon Sim, Guorong Wu, Won Hwa Kim
2025	J	`jnl`	Revealing Cortical Spreading Pathway of Neuropathological Events by Neural Optimal Mass Transport. IEEE Trans. Medical Imaging Tingting Dan, Yanquan Huang, Yang Yang, Guorong Wu
2025	—	`conf`	Spectral Graph Autoregressive Modeling for Conditional Brain Network Augmentation. GRAIL/RIME@MICCAI Hayoung Ahn, Seungjoo Lee, Jaeyoon Sim, Yechan Hwang, Hyuna Cho, Guorong Wu, Won Hwa Kim
2025	J	`jnl`	Understanding Brain Functional Dynamics Through Neural Koopman Operator With Control Mechanism. IEEE Trans. Medical Imaging Zhixuan Zhou, Tingting Dan, Guorong Wu
2025	J	`jnl`	Understanding Mechanistic Role of Structural and Functional Connectivity in Tau Propagation Through Multi-Layer Modeling. CoRR Tingting Dan, Xinwei Huang, Jiaqi Ding, Yinggang Zheng, Guorong Wu
2025	—	`conf`	Understanding the Spreading Mechanism of Tau Propagation in Alzheimers Disease Through a Multi-Layer Transport. ISBI Yi Wang, Haifeng Huang, Tingting Dan, Yang Yang, Guorong Wu
2024	—	`conf`	A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages. MICCAI (2) Jiaqi Ding, Tingting Dan, Ziquan Wei, Paul J. Laurienti, Guorong Wu
2024	J	`jnl`	Brain Network Classification for Accurate Detection of Alzheimer's Disease via Manifold Harmonic Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. Hongmin Cai, Xiaoqi Sheng, Guorong Wu, Bin Hu, Yiu-ming Cheung, Jiazhou Chen
2024	J	`jnl`	BrainMAP: Learning Multiple Activation Pathways in Brain Networks. CoRR Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li
2024	J	`jnl`	Developing Explainable Deep Model for Discovering Novel Control Mechanism of Neuro-Dynamics. IEEE Trans. Medical Imaging Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
2024	J	`jnl`	Disentangling sex-dependent effects of APOE on diverse trajectories of cognitive decline in Alzheimer's disease. NeuroImage Haixu Ma, Zhuoyu Shi, Minjeong Kim, Bin Liu, Patrick J. Smith, Yufeng Liu, Guorong Wu
2024	—	`conf`	Explainable Dementia Prediction using Functional Neuroimages and Risk Factors. ISBI Zhuoyu Shi, Tingting Dan, Patrick J. Smith, Guorong Wu
2024	A*	`conf`	Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold. ICML Tingting Dan, Ziquan Wei, Won Hwa Kim, Guorong Wu
2024	—	`conf`	Learning Functional Dynamics from a Multilayer Brain Network. ISBI Defu Yang, Jiaqi Zhao, Minghan Chen, Yitian Xue, Jingwen Zhou, Shuai Wang, Guorong Wu, Wentao Zhu
2024	A*	`conf`	Learning to Approximate Adaptive Kernel Convolution on Graphs. AAAI Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim
2024	J	`jnl`	Learning to Approximate Adaptive Kernel Convolution on Graphs. CoRR Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim
2024	J	`jnl`	Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations. CoRR Jiaqi Ding, Tingting Dan, Ziquan Wei, Hyuna Cho, Paul J. Laurienti, Won Hwa Kim, Guorong Wu
2024	J	`jnl`	Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning. CoRR Ziquan Wei, Tingting Dan, Guorong Wu
2024	—	`conf`	Modality-Agnostic Style Transfer for Holistic Feature Imputation. ISBI Seunghun Baek, Jaeyoon Sim, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim
2024	—	`conf`	Multi-modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification. MICCAI (5) Jaeyoon Sim, Minjae Lee, Guorong Wu, Won Hwa Kim
2024	—	`conf`	Multi-order Simplex-Based Graph Neural Network for Brain Network Analysis. MICCAI (5) Yechan Hwang, Soojin Hwang, Guorong Wu, Won Hwa Kim
2024	A*	`conf`	NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes. NeurIPS Ziquan Wei, Tingting Dan, Jiaqi Ding, Guorong Wu
2024	J	`jnl`	NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes. CoRR Ziquan Wei, Tingting Dan, Jiaqi Ding, Guorong Wu
2024	A*	`conf`	Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization. ICML Hyuna Cho, Jaeyoon Sim, Guorong Wu, Won Hwa Kim
2024	—	`conf`	OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels. MICCAI (2) Seunghun Baek, Jaeyoon Sim, Guorong Wu, Won Hwa Kim
2024	—	`conf`	Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism. MICCAI (2) Ziquan Wei, Tingting Dan, Jiaqi Ding, Paul J. Laurienti, Guorong Wu
2024	J	`jnl`	TauFlowNet: Revealing latent propagation mechanism of tau aggregates using deep neural transport equations. Medical Image Anal. Tingting Dan, Mustafa Dere, Won Hwa Kim, Minjeong Kim, Guorong Wu
2024	—	`conf`	Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport. MICCAI (2) Yanquan Huang, Tingting Dan, Won Hwa Kim, Guorong Wu
2024	—	`conf`	Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling. MICCAI (2) Chiyuen Chow, Tingting Dan, Martin Styner, Guorong Wu
2023	—	`conf`	A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images. MICCAI (4) Ziquan Wei, Tingting Dan, Jiaqi Ding, Mustafa Dere, Guorong Wu
2023	—	`conf`	Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis. MICCAI (5) Joonhyuk Park, Yechan Hwang, Minjeong Kim, Moo K. Chung, Guorong Wu, Won Hwa Kim
2023	—	`conf`	DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics. MICCAI (8) Md Asadullah Turja, Martin Styner, Guorong Wu
2023	J	`jnl`	DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics. CoRR Md Asadullah Turja, Martin Styner, Guorong Wu
2023	—	`conf`	Discovering Brain Network Dysfunction in Alzheimer's Disease Using Brain Hypergraph Neural Network. MICCAI (5) Hongmin Cai, Zhixuan Zhou, Defu Yang, Guorong Wu, Jiazhou Chen
2023	—	`conf`	Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation. MICCAI (3) Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
2023	J	`jnl`	Estimating Outlier-Immunized Common Harmonic Waves for Brain Network Analyses on the Stiefel Manifold. IEEE J. Biomed. Health Informatics Hongmin Cai, Huan Liu, Defu Yang, Guorong Wu, Bin Hu, Jiazhou Chen
2023	—	`conf`	High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps. ISBI Ziquan Wei, Tingting Dan, Jiaqi Ding, Carolyn M. McCormick, Felix A. Kyere, Minjeong Kim, David Borland, Jason L. Stein, Guorong Wu
2023	—	`conf`	HoloBrain: A Harmonic Holography for Self-organized Brain Function. IPMI Huan Liu, Tingting Dan, Zhuobin Huang, Defu Yang, Won Hwa Kim, Minjeong Kim, Paul J. Laurienti, Guorong Wu
2023	—	`conf`	Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification. ISBI Seunghun Baek, Injun Choi, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim
2023	J	`jnl`	Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer's disease. Medical Image Anal. Huan Liu, Hongmin Cai, Defu Yang, Wentao Zhu, Guorong Wu, Jiazhou Chen
2023	—	`conf`	Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis. MICCAI (2) Hyuna Cho, Guorong Wu, Won Hwa Kim
2023	—	`conf`	OSR-NET: Ordinary Differential Equation-Based Brain State Recognition Neural Network. ISBI Hongmin Cai, Tingting Dan, Zhuobin Huang, Guorong Wu
2023	A*	`conf`	Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. NeurIPS Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu
2023	J	`jnl`	Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. CoRR Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Z. Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu
2023	—	`conf`	Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold. MICCAI (2) Defu Yang, Hui Shen, Minghan Chen, Yitian Xue, Shuai Wang, Guorong Wu, Wentao Zhu
2023	—	`conf`	TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation. MICCAI (3) Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
2023	—	`conf`	Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases. MICCAI (3) Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu
2022	—	`conf`	A Neuropathological Hub Identification for Alzheimer's Disease Via joint Analysis of Topological Structure and Neuropathological Burden. ISBI Defu Yang, Wenchao Li, Jingwen Zhang, Hui Shen, Minghan Chen, Wentao Zhu, Guorong Wu
2022	—	`conf`	CONTINUITY: CONnectivity Tool with INtegration of sUbcortical regions, regIstration and visualization of TractographY. Biomedical Applications in Molecular, Structural, and Functional Imaging Elodie Piot, Maria Bagonis, Guorong Wu, Juan Prieto, Martin Styner
2022	—	`conf`	Cell Counting with Inverse Distance Kernel and Self-supervised Learning. MOVI@MICCAI Yue Guo, David Borland, Carolyn M. McCormick, Jason L. Stein, Guorong Wu, Ashok Kumar Krishnamurthy
2022	J	`jnl`	Characterizing the propagation pathway of neuropathological events of Alzheimer's disease using harmonic wavelet analysis. Medical Image Anal. Jiazhou Chen, Hongmin Cai, Defu Yang, Martin Styner, Guorong Wu, Alzheimer's Disease Neuroimaging Initiative
2022	—	`conf`	Disentangled Representation of Longitudinal Β-Amyloid for AD Via Sequential Graph Variational Autoencoder with Supervision. ISBI Fan Yang, Guorong Wu, Won Hwa Kim
2022	—	`conf`	Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis. MICCAI (8) Tingsong Xiao, Lu Zeng, Xiaoshuang Shi, Xiaofeng Zhu, Guorong Wu
2022	J	`jnl`	Group-Wise Hub Identification by Learning Common Graph Embeddings on Grassmannian Manifold. IEEE Trans. Pattern Anal. Mach. Intell. Defu Yang, Jiazhou Chen, Chenggang Yan, Minjeong Kim, Paul J. Laurienti, Martin Styner, Guorong Wu
2022	—	`conf`	How Much to Aggregate: Learning Adaptive Node-Wise Scales on Graphs for Brain Networks. MICCAI (1) Injun Choi, Guorong Wu, Won Hwa Kim
2022	J	`jnl`	Learning Brain Dynamics of Evolving Manifold Functional MRI Data Using Geometric-Attention Neural Network. IEEE Trans. Medical Imaging Tingting Dan, Zhuobin Huang, Hongmin Cai, Paul J. Laurienti, Guorong Wu
2022	—	`conf`	Manifold Learning in Detecting the Transitions of Dynamic Functional Connectivities Boosts Brain State-Specific Recognition. ISBI Tingting Dan, Zhuobin Huang, Hongmin Cai, Guorong Wu
2022	—	`conf`	Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition. MICCAI (8) Tingting Dan, Hongmin Cai, Zhuobin Huang, Paul J. Laurienti, Won Hwa Kim, Guorong Wu
2022	J	`jnl`	Pathology Steered Stratification Network for Subtype Identification in Alzheimer's Disease. CoRR Enze Xu, Jingwen Zhang, Jiadi Li, Defu Yang, Guorong Wu, Minghan Chen
2022	J	`jnl`	SAU-Net: A Unified Network for Cell Counting in 2D and 3D Microscopy Images. IEEE ACM Trans. Comput. Biol. Bioinform. Yue Guo, Oleh Krupa, Jason L. Stein, Guorong Wu, Ashok Kumar Krishnamurthy
2021	—	`conf`	3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images. IPMI Junbo Ma, Oleh Krupa, Madison Rose Glass, Carolyn M. McCormick, David Borland, Minjeong Kim, Jason L. Stein, Guorong Wu
2021	—	`conf`	Analyzing The Spatiotemporal Interaction And Propagation Of Atn Biomarkers In Alzheimer's Disease Using Longitudinal Neuroimaging Data. ISBI Qing Liu, Defu Yang, Jingwen Zhang, Ziming Wei, Guorong Wu, Minghan Chen
2021	J	`jnl`	Brain functional connectivity analysis based on multi-graph fusion. Medical Image Anal. Jiangzhang Gan, Zi-Wen Peng, Xiaofeng Zhu, Rongyao Hu, Junbo Ma, Guorong Wu
2021	J	`jnl`	Constructing Connectome Atlas by Graph Laplacian Learning. Neuroinformatics Minjeong Kim, Chenggang Yan, Defu Yang, Peipeng Liang, Daniel I. Kaufer, Guorong Wu
2021	—	`conf`	Constructing Reliable Network Of Biomarker Covariance By Joint Data Harmonization And Graph Learning. ISBI Minjeong Kim, Guorong Wu
2021	—	`conf`	Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold. MICCAI (7) Zhuobin Huang, Hongmin Cai, Tingting Dan, Yi Lin, Paul J. Laurienti, Guorong Wu
2021	—	`conf`	Detecting Brain State Changes via Manifold Mean Shifting. BIBM Zhuobin Huang, Tingting Dan, Yi Lin, Jiazhou Chen, Hongmin Cai, Guorong Wu
2021	—	`conf`	Discovering Spreading Pathways of Neuropathological Events in Alzheimer's Disease Using Harmonic Wavelets. IPMI Jiazhou Chen, Defu Yang, Hongmin Cai, Martin Styner, Guorong Wu
2021	—	`conf`	Discovering Unprecedented Heuristics For Hub Identification By Joint Graph Embedding And Reinforcement Learning. ISBI Minjeong Kim, Defu Yang, Guorong Wu
2021	—	`conf`	Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study. MICCAI (2) Fan Yang, Rui Meng, Hyuna Cho, Guorong Wu, Won Hwa Kim
2021	—	`conf`	Disentangling The Spatio-Temporal Heterogeneity of Alzheimer's Disease Using A Deep Predictive Stratification Network. ISBI Andrew Zhen, Minjeong Kim, Guorong Wu
2021	—	`conf`	Extra axial cerebrospinal fluid volume and a diagnosis of Alzheimer's disease. Biomedical Applications in Molecular, Structural, and Functional Imaging Jash Mirani, Nathaniel Fulmer, Md Asadullah Turja, Guorong Wu, Martin Styner
2021	J	`jnl`	Joint hub identification for brain networks by multivariate graph inference. Medical Image Anal. Defu Yang, Xiaofeng Zhu, Chenggang Yan, Zi-Wen Peng, Maria Bagonis, Paul J. Laurienti, Martin Styner, Guorong Wu
2021	J	`jnl`	Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses. IEEE Trans. Medical Imaging Jiazhou Chen, Guoqiang Han, Hongmin Cai, Defu Yang, Paul J. Laurienti, Martin Styner, Guorong Wu
2021	—	`conf`	Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders. IPMI Xin Ma, Guorong Wu, Seong Jae Hwang, Won Hwa Kim
2021	J	`jnl`	Learning dynamic graph embeddings for accurate detection of cognitive state changes in functional brain networks. NeuroImage Yi Lin, Defu Yang, Jia Hou, Chengang Yan, Minjeong Kim, Paul J. Laurienti, Guorong Wu
2021	—	`conf`	Learning the Latent Heat Diffusion Process through Structural Brain Network from Longitudinal β-Amyloid Data. MIDL Md Asadullah Turja, Guorong Wu, Defu Yang, Martin Andreas Styner
2021	J	`jnl`	Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data. Medical Image Anal. Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Daniel Kaufer, Guorong Wu
2021	J	`jnl`	Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification. IEEE Trans. Medical Imaging Rongyao Hu, Zi-Wen Peng, Xiaofeng Zhu, Jiangzhang Gan, Yonghua Zhu, Junbo Ma, Guorong Wu
2021	J	`jnl`	Segmentor: a tool for manual refinement of 3D microscopy annotations. BMC Bioinform. 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
2020	C	`conf`	A Network-Guided Reaction-Diffusion Model of AT[N] Biomarkers in Alzheimer's Disease. BIBE Jingwen Zhang, Defu Yang, Wei He, Guorong Wu, Minghan Chen
2020	—	`conf`	A Novel Spatio-Temporal Hub Identification Method for Dynamic Functional Networks. ISBI Anqi Chen, Defu Yang, Chenggang Yan, Zi-Wen Peng, Minjeong Kim, Paul J. Laurienti, Guorong Wu
2020	—	`conf`	Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease Analysis. MICCAI (7) Junbo Ma, Xiaofeng Zhu, Defu Yang, Jiazhou Chen, Guorong Wu
2020	—	`conf`	Characterizing Frequency-Selective Network Vulnerability for Alzheimer's Disease by Identifying Critical Harmonic Patterns. ISBI Benjamin Leinwand, Guorong Wu, Vladas Pipiras
2020	—	`conf`	Characterizing the Propagation Pattern of Neurodegeneration in Alzheimer's Disease by Longitudinal Network Analysis. ISBI Yueting Wang, Defu Yang, Quefeng Li, Daniel Kaufer, Martin Styner, Guorong Wu
2020	—	`conf`	Detecting Changes of Functional Connectivity by Dynamic Graph Embedding Learning. MICCAI (7) Yi Lin, Jia Hou, Paul J. Laurienti, Guorong Wu
2020	—	`conf`	Enriching Statistical Inferences on Brain Connectivity for Alzheimer's Disease Analysis via Latent Space Graph Embedding. ISBI Xin Ma, Guorong Wu, Won Hwa Kim
2020	—	`conf`	Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold. MICCAI (7) Jiazhou Chen, Guoqiang Han, Hongmin Cai, Junbo Ma, Minjeong Kim, Paul J. Laurienti, Guorong Wu
2020	J	`jnl`	Learning Common Harmonic Waves on Stiefel Manifold - A New Mathematical Approach for Brain Network Analyses. CoRR Jiazhou Chen, Guoqiang Han, Hongmin Cai, Defu Yang, Paul J. Laurienti, Martin Styner, Guorong Wu
2020	J	`jnl`	Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning. IEEE Trans. Neural Networks Learn. Syst. Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Guorong Wu
2020	A*	`conf`	Multi-graph Fusion for Functional Neuroimaging Biomarker Detection. IJCAI Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-Wen Peng, Guorong Wu
2019	—	`conf`	Constructing Consistent Longitudinal Brain Networks by Group-Wise Graph Learning. MICCAI (3) Md Asadullah Turja, Leo Charles Peek Zsembik, Guorong Wu, Martin Styner
2019	—	`conf`	Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network. MICCAI (3) Minjeong Kim, Xiaofeng Zhu, Zi-Wen Peng, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu
2019	—	`conf`	Cross Modality Microscopy Segmentation via Adversarial Adaptation. IWBBIO (2) Yue Guo, Qian Wang, Oleh Krupa, Jason L. Stein, Guorong Wu, Kira Bradford, Ashok K. Krishnamurthy
2019	J	`jnl`	Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases. IEEE Trans. Medical Imaging Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Daniel Kaufer, Guorong Wu
2019	—	`conf`	Joint Identification of Network Hub Nodes by Multivariate Graph Inference. MICCAI (3) Defu Yang, Chenggang Yan, Feiping Nie, Xiaofeng Zhu, Md Asadullah Turja, Leo Charles Peek Zsembik, Martin Styner, Guorong Wu
2019	J	`jnl`	Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity. CoRR Xin Ma, Guorong Wu, Won Hwa Kim
2019	—	`conf`	Revealing Functional Connectivity by Learning Graph Laplacian. MICCAI (3) Minjeong Kim, Amr Moussa, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu
2019	—	`conf`	SAU-Net: A Universal Deep Network for Cell Counting. BCB Yue Guo, Jason L. Stein, Guorong Wu, Ashok K. Krishnamurthy
2019	J	`jnl`	Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises. IEEE Trans. Pattern Anal. Mach. Intell. Ehsan Adeli, Kim-Han Thung, Le An, Guorong Wu, Feng Shi, Tao Wang, Dinggang Shen
2019	J	`jnl`	Sliding window correlation analysis: Modulating window shape for dynamic brain connectivity in resting state. NeuroImage Fatemeh Mokhtari, Milad I. Akhlaghi, Sean L. Simpson, Guorong Wu, Paul J. Laurienti
2018	—	`ed.`	Connectomics in NeuroImaging - Second International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings CNI@MICCAI Guorong Wu, Islem Rekik, Markus D. Schirmer, Ai Wern Chung, Brent C. Munsell
2018	—	`conf`	Discrete Heat Kernel Smoothing in Irregular Image Domains. EMBC Moo K. Chung, Yanli Wang, Guorong Wu
2018	J	`jnl`	Dynamic fMRI networks predict success in a behavioral weight loss program among older adults. NeuroImage Fatemeh Mokhtari, Walter Jack Rejeski, Yingying Zhu, Guorong Wu, Sean L. Simpson, Jonathan H. Burdette, Paul J. Laurienti
2018	—	`conf`	GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion. CNI@MICCAI Guorong Wu, Brent C. Munsell, Paul J. Laurienti, Moo K. Chung
2018	J	`jnl`	Learning non-linear patch embeddings with neural networks for label fusion. Medical Image Anal. 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
2018	—	`conf`	Non-Euclidean, convolutional learning on cortical brain surfaces. ISBI Mahmoud Mostapha, Sun Hyung Kim, Guorong Wu, Leo Zsembik, Stephen M. Pizer, Martin Styner
2018	—	`ed.`	Patch-Based Techniques in Medical Imaging - 4th International Workshop, Patch-MI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings Patch-MI@MICCAI Wenjia Bai, Gerard Sanroma, Guorong Wu, Brent C. Munsell, Yiqiang Zhan, Pierrick Coupé
2018	J	`jnl`	Special Issue on High Performance Computing in Bio-medical Informatics. Neuroinformatics Luping Zhou, Islem Rekik, Chenggang Yan, Guorong Wu
2017	—	`conf`	A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases. IPMI Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Daniel Kaufer, Guorong Wu
2017	—	`conf`	A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity. IPMI Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu
2017	—	`conf`	Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network. Patch-MI@MICCAI 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
2017	J	`jnl`	Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution. Pattern Recognit. Jinpeng Zhang, Lichi Zhang, Lei Xiang, Yeqin Shao, Guorong Wu, Xiaodong Zhou, Dinggang Shen, Qian Wang
2017	J	`jnl`	Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images. Neurocomputing Lichi Zhang, Qian Wang, Yaozong Gao, Hongxin Li, Guorong Wu, Dinggang Shen
2017	—	`ed.`	Connectomics in NeuroImaging - First International Workshop, CNI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings CNI@MICCAI Guorong Wu, Paul J. Laurienti, Leonardo Bonilha, Brent C. Munsell
2017	J	`jnl`	Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning". IEEE Trans. Biomed. Eng. Guorong Wu, Minjeong Kim, Qian Wang, Brent C. Munsell, Dinggang Shen
2017	J	`jnl`	Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis. Medical Image Anal. Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Yanrong Guo, Guorong Wu, Dinggang Shen
2017	—	`conf`	Efficient Groupwise Registration for Brain MRI by Fast Initialization. MLMI@MICCAI Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen
2017	J	`jnl`	Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning. Medical Image Anal. Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent C. Munsell, Guorong Wu
2017	—	`ed.`	Patch-Based Techniques in Medical Imaging - Third International Workshop, Patch-MI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings Patch-MI@MICCAI Guorong Wu, Brent C. Munsell, Yiqiang Zhan, Wenjia Bai, Gerard Sanroma, Pierrick Coupé
2017	—	`conf`	Personalized Diagnosis for Alzheimer's Disease. MICCAI (3) Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Jin Yan, Daniel Kaufer, Guorong Wu
2017	J	`jnl`	Progressive multi-atlas label fusion by dictionary evolution. Medical Image Anal. Yantao Song, Guorong Wu, Khosro Bahrami, Quan-Sen Sun, Dinggang Shen
2017	J	`jnl`	Robust multi-atlas label propagation by deep sparse representation. Pattern Recognit. Chen Zu, Zhengxia Wang, Daoqiang Zhang, Peipeng Liang, Yonghong Shi, Dinggang Shen, Guorong Wu
2017	—	`ch.`	Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning. Deep Learning for Medical Image Analysis Shaoyu Wang, Minjeong Kim, Guorong Wu, Dinggang Shen
2017	J	`jnl`	Scalable joint segmentation and registration framework for infant brain images. Neurocomputing Pei Dong, Li Wang, Weili Lin, Dinggang Shen, Guorong Wu
2016	J	`jnl`	A dynamic tree-based registration could handle possible large deformations among MR brain images. Comput. Medical Imaging Graph. Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen
2016	—	`conf`	Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression. MICCAI (2) Dong Ni, Xing Ji, Yaozong Gao, Jie-Zhi Cheng, Huifang Wang, Jing Qin, Bai Ying Lei, Tianfu Wang, Guorong Wu, Dinggang Shen
2016	—	`conf`	Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning. Patch-MI@MICCAI Yanrong Guo, Pei Dong, Shijie Hao, Li Wang, Guorong Wu, Dinggang Shen
2016	—	`conf`	Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation. Patch-MI@MICCAI Li Wang, Yanrong Guo, Xiaohuan Cao, Guorong Wu, Dinggang Shen
2016	J	`jnl`	Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains. IEEE Trans. Medical Imaging Yuyao Zhang, Feng Shi, Guorong Wu, Li Wang, Pew-Thian Yap, Dinggang Shen
2016	—	`conf`	Cross-Manifold Guidance in Deformable Registration of Brain MR Images. MIAR Jinpeng Zhang, Qian Wang, Guorong Wu, Dinggang Shen
2016	—	`conf`	Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images. MLMI@MICCAI Minjeong Kim, Guorong Wu, Isrem Rekik, Dinggang Shen
2016	—	`conf`	Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine. MICCAI (1) Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Dinggang Shen, Guorong Wu
2016	—	`conf`	Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. MLMI@MICCAI Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu
2016	—	`conf`	Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method. MICCAI (2) Brent C. Munsell, Guorong Wu, Yue Gao, Nicholas Desisto, Martin Styner
2016	—	`conf`	Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis. MLMI@MICCAI Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen
2016	J	`jnl`	Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data. NeuroImage Ehsan Adeli, Feng Shi, Le An, Chong-Yaw Wee, Guorong Wu, Tao Wang, Dinggang Shen
2016	—	`conf`	Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life. MLMI@MICCAI Lifang Wei, Shunbo Hu, Yaozong Gao, Xiaohuan Cao, Guorong Wu, Dinggang Shen
2016	—	`conf`	Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy. MICCAI (3) Xiaohuan Cao, Yaozong Gao, Jianhua Yang, Guorong Wu, Dinggang Shen
2016	—	`conf`	Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning. Patch-MI@MICCAI Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu
2016	—	`ed.`	Patch-Based Techniques in Medical Imaging - Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings Patch-MI@MICCAI Guorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent C. Munsell, Daniel Rueckert
2016	—	`conf`	Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease. MICCAI (1) Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu
2016	—	`conf`	Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification. MICCAI (1) Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu
2016	J	`jnl`	Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning. IEEE Trans. Biomed. Eng. Guorong Wu, Minjeong Kim, Qian Wang, Brent C. Munsell, Dinggang Shen
2015	J	`jnl`	A transversal approach for patch-based label fusion via matrix completion. Medical Image Anal. Gerard Sanroma, Guorong Wu, Yaozong Gao, Kim-Han Thung, Yanrong Guo, Dinggang Shen
2015	—	`conf`	Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests. Patch-MI@MICCAI Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen
2015	J	`jnl`	Building dynamic population graph for accurate correspondence detection. Medical Image Anal. Shaoyi Du, Yanrong Guo, Gerard Sanroma, Dong Ni, Guorong Wu, Dinggang Shen
2015	—	`conf`	Discriminative Dimensionality Reduction for Patch-Based Label Fusion. MLMMI@ICML Gerard Sanroma, Oualid M. Benkarim, Gemma Piella, Guorong Wu, Xiaofeng Zhu, Dinggang Shen, Miguel Ángel González Ballester
2015	—	`conf`	Dual-Layer ℓ Patch-MI@MICCAI Qian Wang, Guorong Wu, Dinggang Shen
2015	—	`conf`	Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation. MCV@MICCAI Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen
2015	—	`conf`	Hierarchical Multi-modal Image Registration by Learning Common Feature Representations. MLMI Hongkun Ge, Guorong Wu, Li Wang, Yaozong Gao, Dinggang Shen
2015	J	`jnl`	Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition. NeuroImage Guorong Wu, Minjeong Kim, Gerard Sanroma, Qian Wang, Brent C. Munsell, Dinggang Shen
2015	—	`conf`	Identifying Abnormal Network Alterations Common to Traumatic Brain Injury and Alzheimer's Disease Patients Using Functional Connectome Data. MLMI Davy Vanderweyen, Brent C. Munsell, Jacobo E. Mintzer, Olga Mintzer, Andy Gajadhar, Xun Zhu, Guorong Wu, Jane E. Joseph
2015	—	`conf`	Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image. Patch-MI@MICCAI Guorong Wu, Xiaofeng Zhu, Qian Wang, Dinggang Shen
2015	J	`jnl`	Improved image registration by sparse patch-based deformation estimation. NeuroImage Minjeong Kim, Guorong Wu, Qian Wang, Seong-Whan Lee, Dinggang Shen
2015	—	`conf`	Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image. CCCV (1) Qian Wang, Guorong Wu, Minjeong Kim, Lichi Zhang, Dinggang Shen
2015	—	`conf`	Joint labeling of multiple regions of interest (ROIS) by enhanced auto context models. ISBI Minjeong Kim, Guorong Wu, Yanrong Guo, Dinggang Shen
2015	J	`jnl`	Machine learning in medical imaging. Comput. Medical Imaging Graph. Dinggang Shen, Guorong Wu, Daoqiang Zhang, Kenji Suzuki, Fei Wang, Pingkun Yan
2015	—	`conf`	Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph. Patch-MI@MICCAI Pei Dong, Yanrong Guo, Dinggang Shen, Guorong Wu
2015	—	`conf`	Multi-view Classification for Identification of Alzheimer's Disease. MLMI Xiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, Kim-Han Thung, Guorong Wu, Dinggang Shen
2015	—	`conf`	Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling. MICCAI (3) Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen
2015	—	`ed.`	Patch-Based Techniques in Medical Imaging - First International Workshop, Patch-MI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers Patch-MI@MICCAI Guorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent C. Munsell, Daniel Rueckert
2015	J	`jnl`	Predict brain MR image registration via sparse learning of appearance and transformation. Medical Image Anal. Qian Wang, Minjeong Kim, Yonghong Shi, Guorong Wu, Dinggang Shen
2015	—	`conf`	Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework. Patch-MI@MICCAI Islem Rekik, Gang Li, Guorong Wu, Weili Lin, Dinggang Shen
2015	—	`conf`	Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution. MICCAI (3) Yantao Song, Guorong Wu, Quan-Sen Sun, Khosro Bahrami, Chunming Li, Dinggang Shen
2015	J	`jnl`	Robust anatomical landmark detection with application to MR brain image registration. Comput. Medical Imaging Graph. Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen
2015	—	`conf`	Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data. MICCAI (3) Yanrong Guo, Guorong Wu, Pew-Thian Yap, Valerie Jewells, Weili Lin, Dinggang Shen
2014	J	`jnl`	A generative probability model of joint label fusion for multi-atlas based brain segmentation. Medical Image Anal. Guorong Wu, Qian Wang, Daoqiang Zhang, Feiping Nie, Heng Huang, Dinggang Shen
2014	—	`conf`	Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling. MCV Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen
2014	J	`jnl`	Correction to "Learning to Rank Atlases for Multiple-Atlas Segmentation". IEEE Trans. Medical Imaging Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen
2014	—	`conf`	Hierarchical Label Fusion with Multiscale Feature Representation and Label-Specific Patch Partition. MICCAI (1) Guorong Wu, Dinggang Shen
2014	J	`jnl`	Hierarchical unbiased graph shrinkage (HUGS): A novel groupwise registration for large data set. NeuroImage Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen
2014	—	`conf`	Joint Segmentation and Registration for Infant Brain Images. MCV Guorong Wu, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen
2014	—	`conf`	Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images. MLMI Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen
2014	J	`jnl`	Learning to Rank Atlases for Multiple-Atlas Segmentation. IEEE Trans. Medical Imaging Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen
2014	A*	`conf`	Learning-Based Atlas Selection for Multiple-Atlas Segmentation. CVPR Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen
2014	—	`ed.`	Machine Learning in Medical Imaging - 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings MLMI Guorong Wu, Daoqiang Zhang, Luping Zhou
2014	—	`conf`	Maximum-Margin Based Representation Learning from Multiple Atlases for Alzheimer's Disease Classification. MICCAI (2) Rui Min, Jian Cheng, True Price, Guorong Wu, Dinggang Shen
2014	C	`conf`	Motion-guided resolution enhancement for Lung 4D-CT. ICARCV Arnav Bhavsar, Guorong Wu, Dinggang Shen
2014	—	`conf`	Novel Multi-Atlas Segmentation by Matrix Completion. MLMI Gerard Sanroma, Guorong Wu, Kim-Han Thung, Yanrong Guo, Dinggang Shen
2014	—	`conf`	Robust Anatomical Landmark Detection for MR Brain Image Registration. MICCAI (1) Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen
2014	—	`conf`	Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features. MICCAI (2) Yanrong Guo, Guorong Wu, Leah A. Commander, Stephanie Szary, Valerie Jewells, Weili Lin, Dinggang Shen
2014	—	`conf`	Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development. MLMI Qian Wang, Guorong Wu, Li Wang, Pengfei Shi, Weili Lin, Dinggang Shen
2013	J	`jnl`	Automatic hippocampus segmentation of 7.0 Tesla MR images by combining multiple atlases and auto-context models. NeuroImage Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen
2013	—	`conf`	Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images. AE-CAI Minjeong Kim, Guorong Wu, Qian Wang, Dinggang Shen
2013	A*	`conf`	Groupwise Registration via Graph Shrinkage on the Image Manifold. CVPR Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen
2013	—	`conf`	Harnessing Group-Sparsity Regularization for Resolution Enhancement of Lung 4D-CT. MICCAI (3) Arnav Bhavsar, Guorong Wu, Dinggang Shen
2013	—	`conf`	Inter-group image registration by hierarchical graph shrinkage. ISBI Shihui Ying, Guorong Wu, Shu Liao, Dinggang Shen
2013	—	`conf`	Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration. IPMI Qian Wang, Minjeong Kim, Guorong Wu, Dinggang Shen
2013	—	`ed.`	Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings MLMI Guorong Wu, Daoqiang Zhang, Dinggang Shen, Pingkun Yan, Kenji Suzuki, Fei Wang
2013	—	`conf`	Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion. MICCAI (3) Guorong Wu, Qian Wang, Shu Liao, Daoqiang Zhang, Feiping Nie, Dinggang Shen
2013	J	`jnl`	Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching. IEEE Trans. Medical Imaging Yanrong Guo, Guorong Wu, Jianguo Jiang, Dinggang Shen
2013	—	`conf`	Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images. MICCAI (2) Guorong Wu, Minjeong Kim, Qian Wang, Yaozong Gao, Shu Liao, Dinggang Shen
2013	—	`conf`	Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images. MLMI Minjeong Kim, Guorong Wu, Dinggang Shen
2013	J	`jnl`	iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing. Neuroinformatics Yakang Dai, Feng Shi, Li Wang, Guorong Wu, Dinggang Shen
2012	J	`jnl`	A General Fast Registration Framework by Learning Deformation-Appearance Correlation. IEEE Trans. Image Process. Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen
2012	J	`jnl`	A Statistical Framework for Inter-Group Image Registration. Neuroinformatics Shu Liao, Guorong Wu, Dinggang Shen
2012	J	`jnl`	A novel framework for longitudinal atlas construction with groupwise registration of subject image sequences. NeuroImage Shu Liao, Hongjun Jia, Guorong Wu, Dinggang Shen
2012	—	`conf`	Atlas Construction via Dictionary Learning and Group Sparsity. MICCAI (1) Feng Shi, Li Wang, Guorong Wu, Yu Zhang, Manhua Liu, John H. Gilmore, Weili Lin, Dinggang Shen
2012	J	`jnl`	Consistent reconstruction of cortical surfaces from longitudinal brain MR images. NeuroImage Gang Li, Jingxin Nie, Guorong Wu, Yaping Wang, Dinggang Shen
2012	—	`conf`	Dense Deformation Reconstruction via Sparse Coding. MLMI Yonghong Shi, Guorong Wu, Zhijian Song, Dinggang Shen
2012	J	`jnl`	Directed graph based image registration. Comput. Medical Imaging Graph. Hongjun Jia, Guorong Wu, Qian Wang, Yaping Wang, Minjeong Kim, Dinggang Shen
2012	—	`conf`	Group Sparsity Constrained Automatic Brain Label Propagation. MLMI Shu Liao, Daoqiang Zhang, Pew-Thian Yap, Guorong Wu, Dinggang Shen
2012	—	`conf`	Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images. MICCAI (2) Guorong Wu, Minjeong Kim, Qian Wang, Dinggang Shen
2012	J	`jnl`	Hierarchical Patch-Based Sparse Representation - A New Approach for Resolution Enhancement of 4D-CT Lung Data. IEEE Trans. Medical Imaging Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen
2012	—	`conf`	Non-local Means Resolution Enhancement of Lung 4D-CT Data. MICCAI (1) Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen
2012	A*	`conf`	Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation. CVPR Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen
2012	J	`jnl`	Registration of longitudinal brain image sequences with implicit template and spatial-temporal heuristics. NeuroImage Guorong Wu, Qian Wang, Dinggang Shen
2012	—	`conf`	Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint. MCV Yanrong Guo, Guorong Wu, Yakang Dai, Jianguo Jiang, Dinggang Shen
2012	—	`conf`	Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation. MBIA Daoqiang Zhang, Qimiao Guo, Guorong Wu, Dinggang Shen
2012	—	`conf`	Sparse Patch-Guided Deformation Estimation for Improved Image Registration. MLMI Minjeong Kim, Guorong Wu, Dinggang Shen
2011	—	`conf`	A Novel Longitudinal Atlas Construction Framework by Groupwise Registration of Subject Image Sequences. IPMI Shu Liao, Hongjun Jia, Guorong Wu, Dinggang Shen
2011	—	`conf`	Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation. MICCAI (3) Daoqiang Zhang, Guorong Wu, Hongjun Jia, Dinggang Shen
2011	—	`conf`	Diffusion Tensor Image Registration with Combined Tract and Tensor Features. MICCAI (2) Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen
2011	—	`conf`	Directed Graph Based Image Registration. MLMI Hongjun Jia, Guorong Wu, Qian Wang, Yaping Wang, Minjeong Kim, Dinggang Shen
2011	—	`conf`	Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image. MICCAI (1) Guorong Wu, Qian Wang, Jun Lian, Dinggang Shen
2011	—	`conf`	Fiber Modeling and Clustering Based on Neuroanatomical Features. MICCAI (2) Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen
2011	—	`conf`	Groupwise registration of breast DCE-MR images for accurate tumor measurement. ISBI Minjeong Kim, Guorong Wu, Dinggang Shen
2011	J	`jnl`	Intermediate templates guided groupwise registration of diffusion tensor images. NeuroImage Hongjun Jia, Pew-Thian Yap, Guorong Wu, Qian Wang, Dinggang Shen
2011	—	`conf`	Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration. IPMI Guorong Wu, Qian Wang, Jun Lian, Dinggang Shen
2011	—	`conf`	Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models. MLMI Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen
2011	J	`jnl`	SharpMean: Groupwise registration guided by sharp mean image and tree-based registration. NeuroImage Guorong Wu, Hongjun Jia, Qian Wang, Dinggang Shen
2011	—	`conf`	iTree: Fast and accurate image registration based on the combinative and incremental tree. ISBI Hongjun Jia, Guorong Wu, Qian Wang, Minjeong Kim, Dinggang Shen
2010	—	`conf`	A Generalized Learning Based Framework for Fast Brain Image Registration. MICCAI (2) Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen
2010	A*	`conf`	ABSORB: Atlas building by Self-Organized Registration and Bundling. CVPR Hongjun Jia, Guorong Wu, Qian Wang, Dinggang Shen
2010	J	`jnl`	ABSORB: Atlas building by self-organized registration and bundling. NeuroImage Hongjun Jia, Guorong Wu, Qian Wang, Dinggang Shen
2010	J	`jnl`	Attribute vector guided groupwise registration. NeuroImage Qian Wang, Guorong Wu, Pew-Thian Yap, Dinggang Shen
2010	J	`jnl`	F-TIMER: Fast Tensor Image Morphing for Elastic Registration. IEEE Trans. Medical Imaging Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen
2010	—	`conf`	Groupwise Registration by Hierarchical Anatomical Correspondence Detection. MICCAI (2) Guorong Wu, Qian Wang, Hongjun Jia, Dinggang Shen
2010	—	`conf`	Groupwise Registration with Sharp Mean. MICCAI (2) Guorong Wu, Hongjun Jia, Qian Wang, Dinggang Shen
2010	—	`conf`	Groupwise registration from exemplar to group mean: xtending HAMMER to groupwise registration. ISBI Guorong Wu, Pew-Thian Yap, Qian Wang, Dinggang Shen
2010	—	`conf`	Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features. MIAR Qian Wang, Pew-Thian Yap, Hongjun Jia, Guorong Wu, Dinggang Shen
2010	J	`jnl`	Human Brain Connectomics: Networks, Techniques, and Applications [Life Sciences]. IEEE Signal Process. Mag. Pew-Thian Yap, Guorong Wu, Dinggang Shen
2010	—	`conf`	Registration of Longitudinal Image Sequences with Implicit Template and Spatial-Temporal Heuristics. MICCAI (2) Guorong Wu, Qian Wang, Hongjun Jia, Dinggang Shen
2010	J	`jnl`	TPS-HAMMER: Improving HAMMER registration algorithm by soft correspondence matching and thin-plate splines based deformation interpolation. NeuroImage Guorong Wu, Pew-Thian Yap, Minjeong Kim, Dinggang Shen
2009	—	`conf`	Attribute Vector Guided Groupwise Registration. MICCAI (1) Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen
2009	—	`conf`	Fast Tensor Image Morphing for Elastic Registration. MICCAI (1) Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen
2009	J	`jnl`	RABBIT: Rapid alignment of brains by building intermediate templates. NeuroImage Songyuan Tang, Yong Fan, Guorong Wu, Minjeong Kim, Dinggang Shen
2009	—	`conf`	TIMER: Tensor Image Morphing for Elastic Registration. CVPR Workshops Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen
2009	J	`jnl`	TIMER: Tensor Image Morphing for Elastic Registration. NeuroImage Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen
2007	—	`conf`	Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images. IPMI Guorong Wu, Feihu Qi, Dinggang Shen
2006	—	`conf`	A General Learning Framework for Non-rigid Image Registration. MIAR Guorong Wu, Feihu Qi, Dinggang Shen
2006	—	`conf`	Detecting and Segmenting Text from Natural Scenes with 2-Stage Classification. ISDA (2) Renjie Jiang, Feihu Qi, Li Xu, Guorong Wu
2006	—	`conf`	Improve brain registration using machine learning methods. ISBI Guorong Wu, Feihu Qi, Dinggang Shen
2006	J	`jnl`	Learning-based deformable registration of MR brain images. IEEE Trans. Medical Imaging Guorong Wu, Feihu Qi, Dinggang Shen
2005	—	`conf`	Learning Best Features for Deformable Registration of MR Brains. MICCAI (2) Guorong Wu, Feihu Qi, Dinggang Shen