| 2026 | AAAI | SyncBrain: Exploring Brain Functional Dynamics Through Neural Oscillatory Synchronization. | Jiaqi Ding, Tingting Dan, Zhixuan Zhou, Guorong Wu |
| 2026 | AAAI | Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape. | Ziquan Wei, Tingting Dan, Guorong Wu |
| 2025 | AAAI | BrainMAP: Learning Multiple Activation Pathways in Brain Networks. | Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li |
| 2025 | ICLR | Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies. | Hyuna Cho, Ziquan Wei, Seungjoo Lee, Tingting Dan, Guorong Wu, Won Hwa Kim |
| 2025 | MICCAI | Spectral Graph Autoregressive Modeling for Conditional Brain Network Augmentation. | Hayoung Ahn, Seungjoo Lee, Jaeyoon Sim, Yechan Hwang, Hyuna Cho, Guorong Wu, Won Hwa Kim |
| 2025 | MICCAI | Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer's Disease Conversion Prediction. | Hyuna Cho, Hayoung Ahn, Guorong Wu, Won Hwa Kim |
| 2025 | MICCAI | Conditional Graph Diffusion with Topological Constraints for Brain Network Generation. | Joonhyuk Park, Donghyun Lee, Guorong Wu, Won Hwa Kim |
| 2025 | MICCAI | Brain-Environment Cross-Attention (BECA) Meta-matching: A New Perspective of Brain Connectome Zero-Shot Learning. | Ziquan Wei, Tingting Dan, Guorong Wu |
| 2024 | AAAI | Learning to Approximate Adaptive Kernel Convolution on Graphs. | Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim |
| 2024 | ICML | Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization. | Hyuna Cho, Jaeyoon Sim, Guorong Wu, Won Hwa Kim |
| 2024 | ICML | Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold. | Tingting Dan, Ziquan Wei, Won Hwa Kim, Guorong Wu |
| 2024 | MICCAI | OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels. | Seunghun Baek, Jaeyoon Sim, Guorong Wu, Won Hwa Kim |
| 2024 | MICCAI | Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling. | Chiyuen Chow, Tingting Dan, Martin Styner, Guorong Wu |
| 2024 | MICCAI | A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages. | Jiaqi Ding, Tingting Dan, Ziquan Wei, Paul J. Laurienti, Guorong Wu |
| 2024 | MICCAI | Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport. | Yanquan Huang, Tingting Dan, Won Hwa Kim, Guorong Wu |
| 2024 | MICCAI | Multi-order Simplex-Based Graph Neural Network for Brain Network Analysis. | Yechan Hwang, Soojin Hwang, Guorong Wu, Won Hwa Kim |
| 2024 | MICCAI | Multi-modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification. | Jaeyoon Sim, Minjae Lee, Guorong Wu, Won Hwa Kim |
| 2024 | MICCAI | Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism. | Ziquan Wei, Tingting Dan, Jiaqi Ding, Paul J. Laurienti, Guorong Wu |
| 2023 | MICCAI | Discovering Brain Network Dysfunction in Alzheimer's Disease Using Brain Hypergraph Neural Network. | Hongmin Cai, Zhixuan Zhou, Defu Yang, Guorong Wu, Jiazhou Chen |
| 2023 | MICCAI | Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis. | Hyuna Cho, Guorong Wu, Won Hwa Kim |
| 2023 | MICCAI | Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation. | Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu |
| 2023 | MICCAI | TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation. | Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu |
| 2023 | MICCAI | Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases. | Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu |
| 2023 | MICCAI | Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis. | Joonhyuk Park, Yechan Hwang, Minjeong Kim, Moo K. Chung, Guorong Wu, Won Hwa Kim |
| 2023 | MICCAI | DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics. | Md Asadullah Turja, Martin Styner, Guorong Wu |
| 2023 | MICCAI | A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images. | Ziquan Wei, Tingting Dan, Jiaqi Ding, Mustafa Dere, Guorong Wu |
| 2023 | MICCAI | Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold. | Defu Yang, Hui Shen, Minghan Chen, Yitian Xue, Shuai Wang, Guorong Wu, Wentao Zhu |
| 2022 | MICCAI | How Much to Aggregate: Learning Adaptive Node-Wise Scales on Graphs for Brain Networks. | Injun Choi, Guorong Wu, Won Hwa Kim |
| 2022 | MICCAI | Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition. | Tingting Dan, Hongmin Cai, Zhuobin Huang, Paul J. Laurienti, Won Hwa Kim, Guorong Wu |
| 2022 | MICCAI | Cell Counting with Inverse Distance Kernel and Self-supervised Learning. | Yue Guo, David Borland, Carolyn M. McCormick, Jason L. Stein, Guorong Wu, Ashok Kumar Krishnamurthy |
| 2022 | MICCAI | Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis. | Tingsong Xiao, Lu Zeng, Xiaoshuang Shi, Xiaofeng Zhu, Guorong Wu |
| 2021 | MICCAI | Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold. | Zhuobin Huang, Hongmin Cai, Tingting Dan, Yi Lin, Paul J. Laurienti, Guorong Wu |
| 2021 | MICCAI | Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study. | Fan Yang, Rui Meng, Hyuna Cho, Guorong Wu, Won Hwa Kim |
| 2020 | BIBE | A Network-Guided Reaction-Diffusion Model of AT[N] Biomarkers in Alzheimer's Disease. | Jingwen Zhang, Defu Yang, Wei He, Guorong Wu, Minghan Chen |
| 2020 | IJCAI | Multi-graph Fusion for Functional Neuroimaging Biomarker Detection. | Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Zi-Wen Peng, Guorong Wu |
| 2020 | MICCAI | Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold. | Jiazhou Chen, Guoqiang Han, Hongmin Cai, Junbo Ma, Minjeong Kim, Paul J. Laurienti, Guorong Wu |
| 2020 | MICCAI | Detecting Changes of Functional Connectivity by Dynamic Graph Embedding Learning. | Yi Lin, Jia Hou, Paul J. Laurienti, Guorong Wu |
| 2020 | MICCAI | Attention-Guided Deep Graph Neural Network for Longitudinal Alzheimer's Disease Analysis. | Junbo Ma, Xiaofeng Zhu, Defu Yang, Jiazhou Chen, Guorong Wu |
| 2019 | MICCAI | Revealing Functional Connectivity by Learning Graph Laplacian. | Minjeong Kim, Amr Moussa, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu |
| 2019 | MICCAI | Constructing Multi-scale Connectome Atlas by Learning Graph Laplacian of Common Network. | Minjeong Kim, Xiaofeng Zhu, Zi-Wen Peng, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu |
| 2019 | MICCAI | Constructing Consistent Longitudinal Brain Networks by Group-Wise Graph Learning. | Md Asadullah Turja, Leo Charles Peek Zsembik, Guorong Wu, Martin Styner |
| 2019 | MICCAI | Joint Identification of Network Hub Nodes by Multivariate Graph Inference. | Defu Yang, Chenggang Yan, Feiping Nie, Xiaofeng Zhu, Md Asadullah Turja, Leo Charles Peek Zsembik, Martin Styner, Guorong Wu |
| 2018 | MICCAI | GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion. | Guorong Wu, Brent C. Munsell, Paul J. Laurienti, Moo K. Chung |
| 2017 | MICCAI | Efficient Groupwise Registration for Brain MRI by Fast Initialization. | Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen |
| 2017 | MICCAI | Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network. | 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 | MICCAI | Personalized Diagnosis for Alzheimer's Disease. | Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Jin Yan, Daniel Kaufer, Guorong Wu |
| 2016 | MICCAI | Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation. | Li Wang, Yanrong Guo, Xiaohuan Cao, Guorong Wu, Dinggang Shen |
| 2016 | MICCAI | Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy. | Xiaohuan Cao, Yaozong Gao, Jianhua Yang, Guorong Wu, Dinggang Shen |
| 2016 | MICCAI | Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning. | Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu |
| 2016 | MICCAI | Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning. | Yanrong Guo, Pei Dong, Shijie Hao, Li Wang, Guorong Wu, Dinggang Shen |
| 2016 | MICCAI | Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images. | Minjeong Kim, Guorong Wu, Isrem Rekik, Dinggang Shen |
| 2016 | MICCAI | Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method. | Brent C. Munsell, Guorong Wu, Yue Gao, Nicholas Desisto, Martin Styner |
| 2016 | MICCAI | Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression. | Dong Ni, Xing Ji, Yaozong Gao, Jie-Zhi Cheng, Huifang Wang, Jing Qin, Bai Ying Lei, Tianfu Wang, Guorong Wu, Dinggang Shen |
| 2016 | MICCAI | Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease. | Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu |
| 2016 | MICCAI | Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life. | Lifang Wei, Shunbo Hu, Yaozong Gao, Xiaohuan Cao, Guorong Wu, Dinggang Shen |
| 2016 | MICCAI | Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis. | Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen |
| 2016 | MICCAI | Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine. | Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Dinggang Shen, Guorong Wu |
| 2016 | MICCAI | Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification. | Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu |
| 2016 | MICCAI | Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. | Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu |
| 2015 | ICML | Discriminative Dimensionality Reduction for Patch-Based Label Fusion. | Gerard Sanroma, Oualid M. Benkarim, Gemma Piella, Guorong Wu, Xiaofeng Zhu, Dinggang Shen, Miguel ngel Gonzlez Ballester |
| 2015 | MICCAI | Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph. | Pei Dong, Yanrong Guo, Dinggang Shen, Guorong Wu |
| 2015 | MICCAI | Hierarchical Multi-modal Image Registration by Learning Common Feature Representations. | Hongkun Ge, Guorong Wu, Li Wang, Yaozong Gao, Dinggang Shen |
| 2015 | MICCAI | Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data. | Yanrong Guo, Guorong Wu, Pew-Thian Yap, Valerie Jewells, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling. | Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen |
| 2015 | MICCAI | Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework. | Islem Rekik, Gang Li, Guorong Wu, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution. | Yantao Song, Guorong Wu, Quan-Sen Sun, Khosro Bahrami, Chunming Li, Dinggang Shen |
| 2015 | MICCAI | Identifying Abnormal Network Alterations Common to Traumatic Brain Injury and Alzheimer's Disease Patients Using Functional Connectome Data. | Davy Vanderweyen, Brent C. Munsell, Jacobo E. Mintzer, Olga Mintzer, Andy Gajadhar, Xun Zhu, Guorong Wu, Jane E. Joseph |
| 2015 | MICCAI | Dual-Layer ℓ | Qian Wang, Guorong Wu, Dinggang Shen |
| 2015 | MICCAI | Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image. | Guorong Wu, Xiaofeng Zhu, Qian Wang, Dinggang Shen |
| 2015 | MICCAI | Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests. | Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen |
| 2015 | MICCAI | Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation. | Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen |
| 2015 | MICCAI | Multi-view Classification for Identification of Alzheimer's Disease. | Xiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, Kim-Han Thung, Guorong Wu, Dinggang Shen |
| 2014 | CVPR | Learning-Based Atlas Selection for Multiple-Atlas Segmentation. | Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen |
| 2014 | ICARCV | Motion-guided resolution enhancement for Lung 4D-CT. | Arnav Bhavsar, Guorong Wu, Dinggang Shen |
| 2014 | MICCAI | Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features. | Yanrong Guo, Guorong Wu, Leah A. Commander, Stephanie Szary, Valerie Jewells, Weili Lin, Dinggang Shen |
| 2014 | MICCAI | Robust Anatomical Landmark Detection for MR Brain Image Registration. | Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen |
| 2014 | MICCAI | Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling. | Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen |
| 2014 | MICCAI | Maximum-Margin Based Representation Learning from Multiple Atlases for Alzheimer's Disease Classification. | Rui Min, Jian Cheng, True Price, Guorong Wu, Dinggang Shen |
| 2014 | MICCAI | Novel Multi-Atlas Segmentation by Matrix Completion. | Gerard Sanroma, Guorong Wu, Kim-Han Thung, Yanrong Guo, Dinggang Shen |
| 2014 | MICCAI | Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development. | Qian Wang, Guorong Wu, Li Wang, Pengfei Shi, Weili Lin, Dinggang Shen |
| 2014 | MICCAI | Joint Segmentation and Registration for Infant Brain Images. | Guorong Wu, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2014 | MICCAI | Hierarchical Label Fusion with Multiscale Feature Representation and Label-Specific Patch Partition. | Guorong Wu, Dinggang Shen |
| 2014 | MICCAI | Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images. | Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen |
| 2013 | CVPR | Groupwise Registration via Graph Shrinkage on the Image Manifold. | Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen |
| 2013 | MICCAI | Harnessing Group-Sparsity Regularization for Resolution Enhancement of Lung 4D-CT. | Arnav Bhavsar, Guorong Wu, Dinggang Shen |
| 2013 | MICCAI | Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images. | Minjeong Kim, Guorong Wu, Dinggang Shen |
| 2013 | MICCAI | Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images. | Minjeong Kim, Guorong Wu, Qian Wang, Dinggang Shen |
| 2013 | MICCAI | Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images. | Guorong Wu, Minjeong Kim, Qian Wang, Yaozong Gao, Shu Liao, Dinggang Shen |
| 2013 | MICCAI | Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion. | Guorong Wu, Qian Wang, Shu Liao, Daoqiang Zhang, Feiping Nie, Dinggang Shen |
| 2012 | CVPR | Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation. | Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen |
| 2012 | ICONIP | Decomposition of the Transfer Entropy: Partial Conditioning and Informative Clustering. | Guorong Wu, Sebastiano Stramaglia, Daniele Marinazzo |
| 2012 | MICCAI | Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint. | Yanrong Guo, Guorong Wu, Yakang Dai, Jianguo Jiang, Dinggang Shen |
| 2012 | MICCAI | Sparse Patch-Guided Deformation Estimation for Improved Image Registration. | Minjeong Kim, Guorong Wu, Dinggang Shen |
| 2012 | MICCAI | Group Sparsity Constrained Automatic Brain Label Propagation. | Shu Liao, Daoqiang Zhang, Pew-Thian Yap, Guorong Wu, Dinggang Shen |
| 2012 | MICCAI | Dense Deformation Reconstruction via Sparse Coding. | Yonghong Shi, Guorong Wu, Zhijian Song, Dinggang Shen |
| 2012 | MICCAI | Atlas Construction via Dictionary Learning and Group Sparsity. | Feng Shi, Li Wang, Guorong Wu, Yu Zhang, Manhua Liu, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2012 | MICCAI | Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images. | Guorong Wu, Minjeong Kim, Qian Wang, Dinggang Shen |
| 2012 | MICCAI | Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation. | Daoqiang Zhang, Qimiao Guo, Guorong Wu, Dinggang Shen |
| 2012 | MICCAI | Non-local Means Resolution Enhancement of Lung 4D-CT Data. | Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen |
| 2011 | MICCAI | Directed Graph Based Image Registration. | Hongjun Jia, Guorong Wu, Qian Wang, Yaping Wang, Minjeong Kim, Dinggang Shen |
| 2011 | MICCAI | Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models. | Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen |
| 2011 | MICCAI | Fiber Modeling and Clustering Based on Neuroanatomical Features. | Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen |
| 2011 | MICCAI | Diffusion Tensor Image Registration with Combined Tract and Tensor Features. | Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen |
| 2011 | MICCAI | Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image. | Guorong Wu, Qian Wang, Jun Lian, Dinggang Shen |
| 2011 | MICCAI | Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation. | Daoqiang Zhang, Guorong Wu, Hongjun Jia, Dinggang Shen |
| 2010 | CVPR | ABSORB: Atlas building by Self-Organized Registration and Bundling. | Hongjun Jia, Guorong Wu, Qian Wang, Dinggang Shen |
| 2010 | MICCAI | A Generalized Learning Based Framework for Fast Brain Image Registration. | Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen |
| 2010 | MICCAI | Groupwise Registration with Sharp Mean. | Guorong Wu, Hongjun Jia, Qian Wang, Dinggang Shen |
| 2010 | MICCAI | Registration of Longitudinal Image Sequences with Implicit Template and Spatial-Temporal Heuristics. | Guorong Wu, Qian Wang, Hongjun Jia, Dinggang Shen |
| 2010 | MICCAI | Groupwise Registration by Hierarchical Anatomical Correspondence Detection. | Guorong Wu, Qian Wang, Hongjun Jia, Dinggang Shen |
| 2009 | CVPR | TIMER: Tensor Image Morphing for Elastic Registration. | Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen |
| 2009 | MICCAI | Attribute Vector Guided Groupwise Registration. | Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen |
| 2009 | MICCAI | Fast Tensor Image Morphing for Elastic Registration. | Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen |
| 2006 | ISDA | Detecting and Segmenting Text from Natural Scenes with 2-Stage Classification. | Renjie Jiang, Feihu Qi, Li Xu, Guorong Wu |
| 2005 | MICCAI | Learning Best Features for Deformable Registration of MR Brains. | Guorong Wu, Feihu Qi, Dinggang Shen |