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Guorong Wu 0001
Person information
- affiliation: University of North Carolina (UNC), Chapel Hill, NC, USA
Other persons with the same name
- Guorong Wu 0002
— Chongqing Three Gorges University, School of Mathematics and Statistics, China (and 1 more)
- Guorong Wu 0003
(aka: Guo-Rong Wu 0003, Guo Rong Wu 0003) — Southwest University, Key Laboratory of Cognition and Personality, Chongqing, China (and 2 more)
- Guorong Wu 0004 — Inner Mongolia Agriculture University, College of Science, Hohhot, China
- Guorong Wu 0005 — Nanchang University, School of Art and Design, China
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2020 – today
- 2025
- [j70]Defu Yang, Minjeong Kim, Yu Zhang, Guorong Wu:
Identifying multilayer network hub by graph representation learning. Medical Image Anal. 101: 103463 (2025) - [j69]Hongmin Cai
, Ranran Deng, Defu Yang
, Fa Zhang
, Guorong Wu
, Jiazhou Chen
:
Harmonic Wavelet Neural Network for Discovering Neuropathological Propagation Patterns in Alzheimer's Disease. IEEE J. Biomed. Health Informatics 29(1): 608-619 (2025) - 2024
- [j68]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: 103210 (2024) - [j67]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: 120609 (2024) - [j66]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): 427-438 (2024) - [j65]Hongmin Cai
, Xiaoqi Sheng
, Guorong Wu
, Bin Hu
, Yiu-Ming Cheung
, Jiazhou Chen
:
Brain Network Classification for Accurate Detection of Alzheimer's Disease via Manifold Harmonic Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17266-17280 (2024) - [c153]Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim:
Learning to Approximate Adaptive Kernel Convolution on Graphs. AAAI 2024: 4882-4890 - [c152]Hyuna Cho, Jaeyoon Sim, Guorong Wu, Won Hwa Kim:
Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization. ICML 2024 - [c151]Tingting Dan, Ziquan Wei, Won Hwa Kim, Guorong Wu:
Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold. ICML 2024 - [c150]Seunghun Baek, Jaeyoon Sim, Mustafa Dere, Minjeong Kim, Guorong Wu, Won Hwa Kim:
Modality-Agnostic Style Transfer for Holistic Feature Imputation. ISBI 2024: 1-5 - [c149]Zhuoyu Shi, Tingting Dan, Patrick J. Smith, Guorong Wu:
Explainable Dementia Prediction using Functional Neuroimages and Risk Factors. ISBI 2024: 1-5 - [c148]Defu Yang, Jiaqi Zhao, Minghan Chen, Yitian Xue, Jingwen Zhou, Shuai Wang, Guorong Wu, Wentao Zhu:
Learning Functional Dynamics from a Multilayer Brain Network. ISBI 2024: 1-4 - [c147]Jiaqi Ding, Tingting Dan, Ziquan Wei, Paul J. Laurienti, Guorong Wu:
A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages. MICCAI (2) 2024: 3-13 - [c146]Seunghun Baek, Jaeyoon Sim, Guorong Wu, Won Hwa Kim:
OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels. MICCAI (2) 2024: 334-344 - [c145]Ziquan Wei
, Tingting Dan, Jiaqi Ding, Paul J. Laurienti, Guorong Wu:
Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism. MICCAI (2) 2024: 367-377 - [c144]Yanquan Huang, Tingting Dan, Won Hwa Kim, Guorong Wu:
Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport. MICCAI (2) 2024: 498-508 - [c143]Chiyuen Chow, Tingting Dan, Martin Styner, Guorong Wu:
Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling. MICCAI (2) 2024: 509-518 - [c142]Jaeyoon Sim, Minjae Lee, Guorong Wu, Won Hwa Kim:
Multi-modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification. MICCAI (5) 2024: 511-521 - [c141]Yechan Hwang, Soojin Hwang, Guorong Wu, Won Hwa Kim:
Multi-order Simplex-Based Graph Neural Network for Brain Network Analysis. MICCAI (5) 2024: 532-541 - [c140]Ziquan Wei, Tingting Dan, Jiaqi Ding, Guorong Wu:
NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes. NeurIPS 2024 - [i10]Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim:
Learning to Approximate Adaptive Kernel Convolution on Graphs. CoRR abs/2401.11840 (2024) - [i9]Ziquan Wei, Tingting Dan, Guorong Wu:
Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning. CoRR abs/2402.08085 (2024) - [i8]Jiaqi Ding, Tingting Dan, Ziquan Wei, Hyuna Cho, Paul J. Laurienti, Won Hwa Kim, Guorong Wu:
Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations. CoRR abs/2409.11377 (2024) - [i7]Ziquan Wei, Tingting Dan, Jiaqi Ding, Guorong Wu:
NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes. CoRR abs/2409.17510 (2024) - [i6]Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li:
BrainMAP: Learning Multiple Activation Pathways in Brain Networks. CoRR abs/2412.17404 (2024) - 2023
- [j64]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: 102812 (2023) - [j63]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): 2411-2422 (2023) - [c139]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: 29-40 - [c138]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: 1-5 - [c137]Hongmin Cai, Tingting Dan, Zhuobin Huang, Guorong Wu:
OSR-NET: Ordinary Differential Equation-Based Brain State Recognition Neural Network. ISBI 2023: 1-5 - [c136]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: 1-5 - [c135]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: 46-55 - [c134]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: 66-76 - [c133]Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu:
TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation. MICCAI (3) 2023: 77-86 - [c132]Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu:
Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases. MICCAI (3) 2023: 87-96 - [c131]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: 230-240 - [c130]Md Asadullah Turja, Martin Styner, Guorong Wu:
DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics. MICCAI (8) 2023: 358-368 - [c129]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: 394-402 - [c128]Hyuna Cho, Guorong Wu, Won Hwa Kim:
Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis. MICCAI (2) 2023: 776-786 - [c127]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: 789-799 - [c126]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 - [i5]Md Asadullah Turja, Martin Styner, Guorong Wu:
DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics. CoRR abs/2306.03088 (2023) - [i4]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 abs/2307.00222 (2023) - 2022
- [j62]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: 102446 (2022) - [j61]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): 8249-8260 (2022) - [j60]Yue Guo
, Oleh Krupa, Jason L. Stein
, Guorong Wu, Ashok Kumar Krishnamurthy:
SAU-Net: A Unified Network for Cell Counting in 2D and 3D Microscopy Images. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 1920-1932 (2022) - [j59]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): 2752-2763 (2022) - [c125]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: 1-4 - [c124]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: 1-4 - [c123]Fan Yang, Guorong Wu, Won Hwa Kim:
Disentangled Representation of Longitudinal Β-Amyloid for AD Via Sequential Graph Variational Autoencoder with Supervision. ISBI 2022: 1-5 - [c122]Elodie Piot, Maria Bagonis, Guorong Wu, Juan Prieto, Martin Styner:
CONTINUITY: CONnectivity Tool with INtegration of sUbcortical regions, regIstration and visualization of TractographY. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c121]Yue Guo, David Borland
, Carolyn M. McCormick, Jason L. Stein, Guorong Wu, Ashok Kumar Krishnamurthy:
Cell Counting with Inverse Distance Kernel and Self-supervised Learning. MOVI@MICCAI 2022: 1-10 - [c120]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: 365-374 - [c119]Injun Choi, Guorong Wu, Won Hwa Kim:
How Much to Aggregate: Learning Adaptive Node-Wise Scales on Graphs for Brain Networks. MICCAI (1) 2022: 376-385 - [c118]Tingsong Xiao
, Lu Zeng
, Xiaoshuang Shi, Xiaofeng Zhu
, Guorong Wu:
Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer's Disease Diagnosis. MICCAI (8) 2022: 406-415 - [i3]Enze Xu
, Jingwen Zhang, Jiadi Li, Defu Yang, Guorong Wu, Minghan Chen:
Pathology Steered Stratification Network for Subtype Identification in Alzheimer's Disease. CoRR abs/2210.05880 (2022) - 2021
- [j58]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): 260 (2021) - [j57]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: 101825 (2021) - [j56]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: 102057 (2021) - [j55]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: 102162 (2021) - [j54]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: 117791 (2021) - [j53]Minjeong Kim
, Chenggang Yan, Defu Yang, Peipeng Liang, Daniel I. Kaufer, Guorong Wu:
Constructing Connectome Atlas by Graph Laplacian Learning. Neuroinformatics 19(2): 233-249 (2021) - [j52]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): 419-430 (2021) - [j51]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): 3843-3855 (2021) - [c117]Zhuobin Huang, Tingting Dan, Yi Lin, Jiazhou Chen, Hongmin Cai, Guorong Wu:
Detecting Brain State Changes via Manifold Mean Shifting. BIBM 2021: 1335-1338 - [c116]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: 228-240 - [c115]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: 253-266 - [c114]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: 504-516 - [c113]Andrew Zhen, Minjeong Kim
, Guorong Wu:
Disentangling The Spatio-Temporal Heterogeneity of Alzheimer's Disease Using A Deep Predictive Stratification Network. ISBI 2021: 46-49 - [c112]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: 126-129 - [c111]Minjeong Kim
, Defu Yang, Guorong Wu:
Discovering Unprecedented Heuristics For Hub Identification By Joint Graph Embedding And Reinforcement Learning. ISBI 2021: 1573-1576 - [c110]Minjeong Kim
, Guorong Wu:
Constructing Reliable Network Of Biomarker Covariance By Joint Data Harmonization And Graph Learning. ISBI 2021: 1958-1961 - [c109]Jash Mirani, Nathaniel Fulmer, Md Asadullah Turja, Guorong Wu, Martin Styner:
Extra axial cerebrospinal fluid volume and a diagnosis of Alzheimer's disease. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - [c108]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: 362-372 - [c107]Zhuobin Huang, Hongmin Cai, Tingting Dan, Yi Lin, Paul J. Laurienti, Guorong Wu:
Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold. MICCAI (7) 2021: 543-552 - [c106]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: 761-773 - 2020
- [j50]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): 3061-3072 (2020) - [c105]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: 222-229 - [c104]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: 580-586 - [c103]Benjamin Leinwand
, Guorong Wu, Vladas Pipiras:
Characterizing Frequency-Selective Network Vulnerability for Alzheimer's Disease by Identifying Critical Harmonic Patterns. ISBI 2020: 1-4 - [c102]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: 292-295 - [c101]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: 1416-1419 - [c100]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: 1685-1689 - [c99]Jiazhou Chen, Guoqiang Han, Hongmin Cai, Junbo Ma
, Minjeong Kim
, Paul J. Laurienti, Guorong Wu:
Estimating Common Harmonic Waves of Brain Networks on Stiefel Manifold. MICCAI (7) 2020: 367-376 - [c98]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: 387-396 - [c97]Yi Lin, Jia Hou, Paul J. Laurienti, Guorong Wu:
Detecting Changes of Functional Connectivity by Dynamic Graph Embedding Learning. MICCAI (7) 2020: 489-497 - [i2]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 abs/2007.13533 (2020)
2010 – 2019
- 2019
- [j49]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: 655-666 (2019) - [j48]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): 515-522 (2019) - [j47]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): 608-616 (2019) - [c96]Yue Guo, Jason L. Stein, Guorong Wu, Ashok K. Krishnamurthy:
SAU-Net: A Universal Deep Network for Cell Counting. BCB 2019: 299-306 - [c95]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: 469-478 - [c94]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: 590-598 - [c93]Md Asadullah Turja, Leo Charles Peek Zsembik, Guorong Wu, Martin Styner:
Constructing Consistent Longitudinal Brain Networks by Group-Wise Graph Learning. MICCAI (3) 2019: 654-662 - [c92]Minjeong Kim
, Amr Moussa, Peipeng Liang, Daniel Kaufer, Paul J. Laurienti, Guorong Wu:
Revealing Functional Connectivity by Learning Graph Laplacian. MICCAI (3) 2019: 718-726 - [c91]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: 727-735 - [i1]Xin Ma
, Guorong Wu, Won Hwa Kim:
Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity. CoRR abs/1912.01181 (2019) - 2018
- [j46]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: 143-155 (2018) - [j45]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: 421-433 (2018) - [j44]Luping Zhou
, Islem Rekik, Chenggang Yan, Guorong Wu:
Special Issue on High Performance Computing in Bio-medical Informatics. Neuroinformatics 16(3-4): 283 (2018) - [c90]Moo K. Chung, Yanli Wang, Guorong Wu:
Discrete Heat Kernel Smoothing in Irregular Image Domains. EMBC 2018: 5101-5104 - [c89]Mahmoud Mostapha, Sun Hyung Kim, Guorong Wu, Leo Zsembik, Stephen M. Pizer, Martin Styner:
Non-Euclidean, convolutional learning on cortical brain surfaces. ISBI 2018: 527-530 - [c88]Guorong Wu, Brent C. Munsell, Paul J. Laurienti, Moo K. Chung:
GRAND: Unbiased Connectome Atlas of Brain Network by Groupwise Graph Shrinkage and Network Diffusion. CNI@MICCAI 2018: 127-135 - [e8]Wenjia Bai, Gerard Sanroma, Guorong Wu, Brent C. Munsell, Yiqiang Zhan, Pierrick Coupé:
Patch-Based Techniques in Medical Imaging - 4th International Workshop, Patch-MI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11075, Springer 2018, ISBN 978-3-030-00499-6 [contents] - [e7]Guorong Wu, Islem Rekik, Markus D. Schirmer, Ai Wern Chung, Brent C. Munsell:
Connectomics in NeuroImaging - Second International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11083, Springer 2018, ISBN 978-3-030-00754-6 [contents] - 2017
- [j43]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: 3-12 (2017) - [j42]