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ORCIDGuorong Wu 0001
Person information
- affiliation: University of North Carolina (UNC), Chapel Hill, NC, USA
Other persons with the same name
- Guorong Wu 0002
![[0000-0001-6175-4816]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6175-4816")
— 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
[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) - [c152]Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim:
Learning to Approximate Adaptive Kernel Convolution on Graphs. AAAI 2024: 4882-4890 - [c151]Hyuna Cho, Jaeyoon Sim, Guorong Wu, Won Hwa Kim:
Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization. ICML 2024 - [c150]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 - [c149]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 - [c148]Zhuoyu Shi, Tingting Dan, Patrick J. Smith, Guorong Wu:
Explainable Dementia Prediction using Functional Neuroimages and Risk Factors. ISBI 2024: 1-5 - [c147]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 - [c146]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 - [c145]Seunghun Baek, Jaeyoon Sim, Guorong Wu, Won Hwa Kim:
OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels. MICCAI (2) 2024: 334-344 - [c144]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 - [c143]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 - [c142]Chiyuen Chow, Tingting Dan, Martin Styner, Guorong Wu:
Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling. MICCAI (2) 2024: 509-518 - [c141]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 - [c140]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 - [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]Pei Dong, Li Wang, Weili Lin, Dinggang Shen, Guorong Wu:
Scalable joint segmentation and registration framework for infant brain images. Neurocomputing 229: 54-62 (2017) - [j41]Yantao Song, Guorong Wu, Khosro Bahrami, Quan-Sen Sun, Dinggang Shen:
Progressive multi-atlas label fusion by dictionary evolution. Medical Image Anal. 36: 162-171 (2017) - [j40]Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent C. Munsell, Guorong Wu:
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning. Medical Image Anal. 39: 218-230 (2017) - [j39]Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Yanrong Guo, Guorong Wu, Dinggang Shen:
Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis. Medical Image Anal. 41: 18-31 (2017) - [j38]Chen Zu, Zhengxia Wang, Daoqiang Zhang, Peipeng Liang, Yonghong Shi, Dinggang Shen, Guorong Wu:
Robust multi-atlas label propagation by deep sparse representation. Pattern Recognit. 63: 511-517 (2017) - [j37]Jinpeng Zhang, Lichi Zhang, Lei Xiang, Yeqin Shao, Guorong Wu, Xiaodong Zhou, Dinggang Shen, Qian Wang:
Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution. Pattern Recognit. 63: 531-541 (2017) - [j36]Guorong Wu, Minjeong Kim, Qian Wang, Brent C. Munsell, Dinggang Shen:
Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning". IEEE Trans. Biomed. Eng. 64(1): 250 (2017) - [c87]Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Daniel Kaufer, Guorong Wu:
A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases. IPMI 2017: 158-169 - [c86]Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu:
A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity. IPMI 2017: 398-410 - [c85]Qian Wang, Shaoyu Wang, Xiaofeng Zhu, Tianyi Liu, Zachary Humphrey, Vladimir Ghukasyan, Mike Conway, Erik Scott, Giulia Fragola, Kira Bradford, Mark J. Zylka, Ashok K. Krishnamurthy, Jason L. Stein, Guorong Wu:
Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network. Patch-MI@MICCAI 2017: 55-62 - [c84]Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen:
Efficient Groupwise Registration for Brain MRI by Fast Initialization. MLMI@MICCAI 2017: 150-158 - [c83]Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Jin Yan, Daniel Kaufer, Guorong Wu:
Personalized Diagnosis for Alzheimer's Disease. MICCAI (3) 2017: 205-213 - [p1]Shaoyu Wang, Minjeong Kim, Guorong Wu, Dinggang Shen:
Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning. Deep Learning for Medical Image Analysis 2017: 245-269 - [e6]Guorong Wu, Paul J. Laurienti, Leonardo Bonilha, Brent C. Munsell:
Connectomics in NeuroImaging - First International Workshop, CNI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10511, Springer 2017, ISBN 978-3-319-67158-1 [contents] - [e5]Guorong Wu, Brent C. Munsell, Yiqiang Zhan, Wenjia Bai, Gerard Sanroma, Pierrick Coupé:
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. Lecture Notes in Computer Science 10530, Springer 2017, ISBN 978-3-319-67433-9 [contents] - 2016
- [j35]Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen:
A dynamic tree-based registration could handle possible large deformations among MR brain images. Comput. Medical Imaging Graph. 52: 1-7 (2016) - [j34]Ehsan Adeli, Feng Shi, Le An, Chong-Yaw Wee, Guorong Wu, Tao Wang, Dinggang Shen:
Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data. NeuroImage 141: 206-219 (2016) - [j33]Guorong Wu, Minjeong Kim, Qian Wang, Brent C. Munsell, Dinggang Shen:
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning. IEEE Trans. Biomed. Eng. 63(7): 1505-1516 (2016) - [j32]Yuyao Zhang, Feng Shi, Guorong Wu, Li Wang, Pew-Thian Yap, Dinggang Shen:
Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains. IEEE Trans. Medical Imaging 35(12): 2568-2577 (2016) - [c82]Jinpeng Zhang, Qian Wang, Guorong Wu, Dinggang Shen:
Cross-Manifold Guidance in Deformable Registration of Brain MR Images. MIAR 2016: 415-424 - [c81]Xiaohuan Cao, Yaozong Gao, Jianhua Yang, Guorong Wu, Dinggang Shen:
Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy. MICCAI (3) 2016: 1-9 - [c80]Yanrong Guo, Pei Dong, Shijie Hao, Li Wang, Guorong Wu, Dinggang Shen:
Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning. Patch-MI@MICCAI 2016: 1-8 - [c79]Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu:
Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. MLMI@MICCAI 2016: 1-9 - [c78]Brent C. Munsell, Guorong Wu, Yue Gao, Nicholas Desisto, Martin Styner:
Identifying Relationships in Functional and Structural Connectome Data Using a Hypergraph Learning Method. MICCAI (2) 2016: 9-17 - [c77]Li Wang, Yanrong Guo, Xiaohuan Cao, Guorong Wu, Dinggang Shen:
Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation. Patch-MI@MICCAI 2016: 34-42 - [c76]Lifang Wei, Shunbo Hu, Yaozong Gao, Xiaohuan Cao, Guorong Wu, Dinggang Shen:
Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life. MLMI@MICCAI 2016: 36-44 - [c75]Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu:
Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning. Patch-MI@MICCAI 2016: 51-59 - [c74]Minjeong Kim, Guorong Wu, Isrem Rekik, Dinggang Shen:
Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images. MLMI@MICCAI 2016: 69-76 - [c73]Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen:
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis. MLMI@MICCAI 2016: 77-85 - [c72]Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu:
Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification. MICCAI (1) 2016: 106-114 - [c71]Dong Ni, Xing Ji, Yaozong Gao, Jie-Zhi Cheng, Huifang Wang, Jing Qin, Bai Ying Lei, Tianfu Wang, Guorong Wu, Dinggang Shen:
Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression. MICCAI (2) 2016: 247-255 - [c70]Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Dinggang Shen, Guorong Wu:
Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine. MICCAI (1) 2016: 264-272 - [c69]Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu:
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease. MICCAI (1) 2016: 291-299 - [e4]Guorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent C. Munsell, Daniel Rueckert:
Patch-Based Techniques in Medical Imaging - Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings. Lecture Notes in Computer Science 9993, 2016, ISBN 978-3-319-47117-4 [contents] - 2015
- [j31]Dinggang Shen, Guorong Wu, Daoqiang Zhang, Kenji Suzuki, Fei Wang, Pingkun Yan:
Machine learning in medical imaging. Comput. Medical Imaging Graph. 41: 1-2 (2015) - [j30]Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
Robust anatomical landmark detection with application to MR brain image registration. Comput. Medical Imaging Graph. 46: 277-290 (2015) - [j29]Qian Wang, Minjeong Kim, Yonghong Shi, Guorong Wu, Dinggang Shen:
Predict brain MR image registration via sparse learning of appearance and transformation. Medical Image Anal. 20(1): 61-75 (2015) - [j28]Gerard Sanroma, Guorong Wu, Yaozong Gao, Kim-Han Thung, Yanrong Guo, Dinggang Shen:
A transversal approach for patch-based label fusion via matrix completion. Medical Image Anal. 24(1): 135-148 (2015) - [j27]Shaoyi Du, Yanrong Guo, Gerard Sanroma, Dong Ni, Guorong Wu, Dinggang Shen:
Building dynamic population graph for accurate correspondence detection. Medical Image Anal. 26(1): 256-267 (2015) - [j26]Minjeong Kim, Guorong Wu, Qian Wang, Seong-Whan Lee, Dinggang Shen:
Improved image registration by sparse patch-based deformation estimation. NeuroImage 105: 257-268 (2015) - [j25]Guorong Wu, Minjeong Kim, Gerard Sanroma, Qian Wang, Brent C. Munsell, Dinggang Shen:
Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition. NeuroImage 106: 34-46 (2015) - [c68]Qian Wang, Guorong Wu, Minjeong Kim, Lichi Zhang, Dinggang Shen:
Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image. CCCV (1) 2015: 240-248 - [c67]Gerard Sanroma, Oualid M. Benkarim, Gemma Piella, Guorong Wu, Xiaofeng Zhu, Dinggang Shen, Miguel Ángel González Ballester:
Discriminative Dimensionality Reduction for Patch-Based Label Fusion. MLMMI@ICML 2015: 94-103 - [c66]Minjeong Kim, Guorong Wu, Yanrong Guo, Dinggang Shen:
Joint labeling of multiple regions of interest (ROIS) by enhanced auto context models. ISBI 2015: 1560-1563 - [c65]Guorong Wu, Xiaofeng Zhu, Qian Wang, Dinggang Shen:
Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image. Patch-MI@MICCAI 2015: 10-18 - [c64]Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen:
Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests. Patch-MI@MICCAI 2015: 19-27 - [c63]Qian Wang, Guorong Wu, Dinggang Shen:
Dual-Layer ℓ1-Graph Embedding for Semi-supervised Image Labeling. Patch-MI@MICCAI 2015: 46-53 - [c62]Yanrong Guo, Guorong Wu, Pew-Thian Yap, Valerie Jewells, Weili Lin, Dinggang Shen:
Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data. MICCAI (3) 2015: 63-71 - [c61]Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen:
Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation. MCV@MICCAI 2015: 137-145 - [c60]Pei Dong, Yanrong Guo, Dinggang Shen, Guorong Wu:
Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph. Patch-MI@MICCAI 2015: 188-196 - [c59]Yantao Song, Guorong Wu, Quan-Sen Sun, Khosro Bahrami, Chunming Li, Dinggang Shen:
Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution. MICCAI (3) 2015: 190-197 - [c58]Islem Rekik, Gang Li, Guorong Wu, Weili Lin, Dinggang Shen:
Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework. Patch-MI@MICCAI 2015: 197-204 - [c57]Hongkun Ge, Guorong Wu, Li Wang, Yaozong Gao, Dinggang Shen:
Hierarchical Multi-modal Image Registration by Learning Common Feature Representations. MLMI 2015: 203-211 - [c56]Davy Vanderweyen, Brent C. Munsell, Jacobo E. Mintzer, Olga Mintzer, Andy Gajadhar, Xun Zhu, Guorong Wu, Jane E. Joseph:
Identifying Abnormal Network Alterations Common to Traumatic Brain Injury and Alzheimer's Disease Patients Using Functional Connectome Data. MLMI 2015: 229-237 - [c55]Xiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, Kim-Han Thung, Guorong Wu, Dinggang Shen:
Multi-view Classification for Identification of Alzheimer's Disease. MLMI 2015: 255-262 - [c54]Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen:
Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling. MICCAI (3) 2015: 719-726 - [e3]Guorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent C. Munsell, Daniel Rueckert:
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. Lecture Notes in Computer Science 9467, Springer 2015, ISBN 978-3-319-28193-3 [contents] - 2014
- [j24]Guorong Wu, Qian Wang, Daoqiang Zhang, Feiping Nie, Heng Huang, Dinggang Shen:
A generative probability model of joint label fusion for multi-atlas based brain segmentation. Medical Image Anal. 18(6): 881-890 (2014) - [j23]Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen:
Hierarchical unbiased graph shrinkage (HUGS): A novel groupwise registration for large data set. NeuroImage 84: 626-638 (2014) - [j22]Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen:
Learning to Rank Atlases for Multiple-Atlas Segmentation. IEEE Trans. Medical Imaging 33(10): 1939-1953 (2014) - [j21]Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen:
Correction to "Learning to Rank Atlases for Multiple-Atlas Segmentation". IEEE Trans. Medical Imaging 33(11): 2210 (2014) - [c53]Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen:
Learning-Based Atlas Selection for Multiple-Atlas Segmentation. CVPR 2014: 3111-3117 - [c52]Arnav Bhavsar, Guorong Wu, Dinggang Shen:
Motion-guided resolution enhancement for Lung 4D-CT. ICARCV 2014: 334-339 - [c51]Qian Wang, Guorong Wu, Li Wang, Pengfei Shi, Weili Lin, Dinggang Shen:
Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development. MLMI 2014: 1-8 - [c50]Guorong Wu, Li Wang, John H. Gilmore, Weili Lin, Dinggang Shen:
Joint Segmentation and Registration for Infant Brain Images. MCV 2014: 13-21 - [c49]Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen:
Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling. MCV 2014: 97-104 - [c48]Dong Han, Yaozong Gao, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
Robust Anatomical Landmark Detection for MR Brain Image Registration. MICCAI (1) 2014: 186-193 - [c47]Gerard Sanroma, Guorong Wu, Kim-Han Thung, Yanrong Guo, Dinggang Shen:
Novel Multi-Atlas Segmentation by Matrix Completion. MLMI 2014: 207-214 - [c46]Rui Min, Jian Cheng, True Price, Guorong Wu, Dinggang Shen:
Maximum-Margin Based Representation Learning from Multiple Atlases for Alzheimer's Disease Classification. MICCAI (2) 2014: 212-219 - [c45]Guorong Wu, Dinggang Shen:
Hierarchical Label Fusion with Multiscale Feature Representation and Label-Specific Patch Partition. MICCAI (1) 2014: 299-306 - [c44]Yanrong Guo, Guorong Wu, Leah A. Commander, Stephanie Szary, Valerie Jewells, Weili Lin, Dinggang Shen:
Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features. MICCAI (2) 2014: 308-315 - [c43]Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen:
Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images. MLMI 2014: 323-330 - [e2]Guorong Wu, Daoqiang Zhang, Luping Zhou:
Machine Learning in Medical Imaging - 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings. Lecture Notes in Computer Science 8679, Springer 2014, ISBN 978-3-319-10580-2 [contents] - 2013
- [j20]Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen:
Automatic hippocampus segmentation of 7.0 Tesla MR images by combining multiple atlases and auto-context models. NeuroImage 83: 335-345 (2013) - [j19]Yakang Dai, Feng Shi, Li Wang, Guorong Wu, Dinggang Shen:
iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing. Neuroinformatics 11(2): 211-225 (2013) - [j18]Yanrong Guo, Guorong Wu, Jianguo Jiang, Dinggang Shen:
Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching. IEEE Trans. Medical Imaging 32(2): 268-277 (2013) - [c42]Shihui Ying, Guorong Wu, Qian Wang, Dinggang Shen:
Groupwise Registration via Graph Shrinkage on the Image Manifold. CVPR 2013: 2323-2330 - [c41]Qian Wang, Minjeong Kim, Guorong Wu, Dinggang Shen:
Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration. IPMI 2013: 499-510 - [c40]Shihui Ying, Guorong Wu, Shu Liao, Dinggang Shen:
Inter-group image registration by hierarchical graph shrinkage. ISBI 2013: 1030-1033 - [c39]Minjeong Kim, Guorong Wu, Dinggang Shen:
Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images. MLMI 2013: 1-8 - [c38]Arnav Bhavsar, Guorong Wu, Dinggang Shen:
Harnessing Group-Sparsity Regularization for Resolution Enhancement of Lung 4D-CT. MICCAI (3) 2013: 139-146 - [c37]Minjeong Kim, Guorong Wu, Qian Wang, Dinggang Shen:
Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images. AE-CAI 2013: 153-161 - [c36]Guorong Wu, Qian Wang, Shu Liao, Daoqiang Zhang, Feiping Nie, Dinggang Shen:
Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion. MICCAI (3) 2013: 551-558 - [c35]Guorong Wu, Minjeong Kim, Qian Wang, Yaozong Gao, Shu Liao, Dinggang Shen:
Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images. MICCAI (2) 2013: 649-656 - [e1]Guorong Wu, Daoqiang Zhang, Dinggang Shen, Pingkun Yan, Kenji Suzuki, Fei Wang:
Machine Learning in Medical Imaging - 4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings. Lecture Notes in Computer Science 8184, Springer 2013, ISBN 978-3-319-02266-6 [contents] - 2012
- [j17]Hongjun Jia, Guorong Wu, Qian Wang, Yaping Wang, Minjeong Kim, Dinggang Shen:
Directed graph based image registration. Comput. Medical Imaging Graph. 36(2): 139-151 (2012) - [j16]Guorong Wu, Qian Wang, Dinggang Shen:
Registration of longitudinal brain image sequences with implicit template and spatial-temporal heuristics. NeuroImage 59(1): 404-421 (2012) - [j15]Shu Liao, Hongjun Jia, Guorong Wu, Dinggang Shen:
A novel framework for longitudinal atlas construction with groupwise registration of subject image sequences. NeuroImage 59(2): 1275-1289 (2012) - [j14]Gang Li, Jingxin Nie, Guorong Wu, Yaping Wang, Dinggang Shen:
Consistent reconstruction of cortical surfaces from longitudinal brain MR images. NeuroImage 59(4): 3805-3820 (2012) - [j13]Shu Liao, Guorong Wu, Dinggang Shen:
A Statistical Framework for Inter-Group Image Registration. Neuroinformatics 10(4): 367-378 (2012) - [j12]Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
A General Fast Registration Framework by Learning Deformation-Appearance Correlation. IEEE Trans. Image Process. 21(4): 1823-1833 (2012) - [j11]Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Hierarchical Patch-Based Sparse Representation - A New Approach for Resolution Enhancement of 4D-CT Lung Data. IEEE Trans. Medical Imaging 31(11): 1993-2005 (2012) - [c34]Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation. CVPR 2012: 925-931 - [c33]Yanrong Guo, Guorong Wu, Yakang Dai, Jianguo Jiang, Dinggang Shen:
Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint. MCV 2012: 20-28 - [c32]Yonghong Shi, Guorong Wu, Zhijian Song, Dinggang Shen:
Dense Deformation Reconstruction via Sparse Coding. MLMI 2012: 36-44 - [c31]Shu Liao, Daoqiang Zhang, Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Group Sparsity Constrained Automatic Brain Label Propagation. MLMI 2012: 45-53 - [c30]Minjeong Kim, Guorong Wu, Dinggang Shen:
Sparse Patch-Guided Deformation Estimation for Improved Image Registration. MLMI 2012: 54-62 - [c29]Guorong Wu, Minjeong Kim, Qian Wang, Dinggang Shen:
Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images. MICCAI (2) 2012: 90-97 - [c28]Daoqiang Zhang, Qimiao Guo, Guorong Wu, Dinggang Shen:
Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation. MBIA 2012: 94-102 - [c27]Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Non-local Means Resolution Enhancement of Lung 4D-CT Data. MICCAI (1) 2012: 214-222 - [c26]Feng Shi, Li Wang, Guorong Wu, Yu Zhang, Manhua Liu, John H. Gilmore, Weili Lin, Dinggang Shen:
Atlas Construction via Dictionary Learning and Group Sparsity. MICCAI (1) 2012: 247-255 - 2011
- [j10]Hongjun Jia, Pew-Thian Yap, Guorong Wu, Qian Wang, Dinggang Shen:
Intermediate templates guided groupwise registration of diffusion tensor images. NeuroImage 54(2): 928-939 (2011) - [j9]Guorong Wu, Hongjun Jia, Qian Wang, Dinggang Shen:
SharpMean: Groupwise registration guided by sharp mean image and tree-based registration. NeuroImage 56(4): 1968-1981 (2011) - [c25]Shu Liao, Hongjun Jia, Guorong Wu, Dinggang Shen:
A Novel Longitudinal Atlas Construction Framework by Groupwise Registration of Subject Image Sequences. IPMI 2011: 283-295 - [c24]Guorong Wu, Qian Wang, Jun Lian, Dinggang Shen:
Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration. IPMI 2011: 686-698 - [c23]Minjeong Kim, Guorong Wu, Dinggang Shen:
Groupwise registration of breast DCE-MR images for accurate tumor measurement. ISBI 2011: 598-601 - [c22]Hongjun Jia, Guorong Wu, Qian Wang, Minjeong Kim, Dinggang Shen:
iTree: Fast and accurate image registration based on the combinative and incremental tree. ISBI 2011: 1243-1246 - [c21]Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Fiber Modeling and Clustering Based on Neuroanatomical Features. MICCAI (2) 2011: 17-24 - [c20]Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen:
Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models. MLMI 2011: 100-108 - [c19]Hongjun Jia, Guorong Wu, Qian Wang, Yaping Wang, Minjeong Kim, Dinggang Shen:
Directed Graph Based Image Registration. MLMI 2011: 175-183 - [c18]Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Diffusion Tensor Image Registration with Combined Tract and Tensor Features. MICCAI (2) 2011: 200-208 - [c17]Guorong Wu, Qian Wang, Jun Lian, Dinggang Shen:
Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image. MICCAI (1) 2011: 532-539 - [c16]Daoqiang Zhang, Guorong Wu, Hongjun Jia, Dinggang Shen:
Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation. MICCAI (3) 2011: 643-650 - 2010
- [j8]Guorong Wu, Pew-Thian Yap, Minjeong Kim, Dinggang Shen:
TPS-HAMMER: Improving HAMMER registration algorithm by soft correspondence matching and thin-plate splines based deformation interpolation. NeuroImage 49(3): 2225-2233 (2010) - [j7]Qian Wang, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
Attribute vector guided groupwise registration. NeuroImage 50(4): 1485-1496 (2010) - [j6]Hongjun Jia, Guorong Wu, Qian Wang, Dinggang Shen:
ABSORB: Atlas building by self-organized registration and bundling. NeuroImage 51(3): 1057-1070 (2010) - [j5]Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Human Brain Connectomics: Networks, Techniques, and Applications [Life Sciences]. IEEE Signal Process. Mag. 27(4): 131-134 (2010) - [j4]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
F-TIMER: Fast Tensor Image Morphing for Elastic Registration. IEEE Trans. Medical Imaging 29(5): 1192-1203 (2010) - [c15]Hongjun Jia, Guorong Wu, Qian Wang, Dinggang Shen:
ABSORB: Atlas building by Self-Organized Registration and Bundling. CVPR 2010: 2785-2790 - [c14]Guorong Wu, Pew-Thian Yap, Qian Wang, Dinggang Shen:
Groupwise registration from exemplar to group mean: xtending HAMMER to groupwise registration. ISBI 2010: 396-399 - [c13]Qian Wang, Pew-Thian Yap, Hongjun Jia, Guorong Wu, Dinggang Shen:
Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features. MIAR 2010: 448-456 - [c12]Minjeong Kim, Guorong Wu, Pew-Thian Yap, Dinggang Shen:
A Generalized Learning Based Framework for Fast Brain Image Registration. MICCAI (2) 2010: 306-314 - [c11]Guorong Wu, Hongjun Jia, Qian Wang, Dinggang Shen:
Groupwise Registration with Sharp Mean. MICCAI (2) 2010: 570-577 - [c10]Guorong Wu, Qian Wang, Hongjun Jia, Dinggang Shen:
Registration of Longitudinal Image Sequences with Implicit Template and Spatial-Temporal Heuristics. MICCAI (2) 2010: 618-625 - [c9]Guorong Wu, Qian Wang, Hongjun Jia, Dinggang Shen:
Groupwise Registration by Hierarchical Anatomical Correspondence Detection. MICCAI (2) 2010: 684-691
2000 – 2009
- 2009
- [j3]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
TIMER: Tensor Image Morphing for Elastic Registration. NeuroImage 47(2): 549-563 (2009) - [j2]Songyuan Tang, Yong Fan, Guorong Wu, Minjeong Kim, Dinggang Shen:
RABBIT: Rapid alignment of brains by building intermediate templates. NeuroImage 47(4): 1277-1287 (2009) - [c8]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
TIMER: Tensor Image Morphing for Elastic Registration. CVPR Workshops 2009: 1-8 - [c7]Qian Wang, Pew-Thian Yap, Guorong Wu, Dinggang Shen:
Attribute Vector Guided Groupwise Registration. MICCAI (1) 2009: 656-663 - [c6]Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen:
Fast Tensor Image Morphing for Elastic Registration. MICCAI (1) 2009: 721-729 - 2007
- [c5]Guorong Wu, Feihu Qi, Dinggang Shen:
Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images. IPMI 2007: 160-171 - 2006
- [j1]Guorong Wu, Feihu Qi, Dinggang Shen:
Learning-based deformable registration of MR brain images. IEEE Trans. Medical Imaging 25(9): 1145-1157 (2006) - [c4]Guorong Wu, Feihu Qi, Dinggang Shen:
Improve brain registration using machine learning methods. ISBI 2006: 434-437 - [c3]Renjie Jiang, Feihu Qi, Li Xu, Guorong Wu:
Detecting and Segmenting Text from Natural Scenes with 2-Stage Classification. ISDA (2) 2006: 819-824 - [c2]Guorong Wu, Feihu Qi, Dinggang Shen:
A General Learning Framework for Non-rigid Image Registration. MIAR 2006: 219-227 - 2005
- [c1]Guorong Wu, Feihu Qi, Dinggang Shen:
Learning Best Features for Deformable Registration of MR Brains. MICCAI (2) 2005: 179-187
Coauthor Index
[j68] [j67] [j66] [c149] [c139] [c138] [c136] [c134] [c133] [c132] [c127] [c126] [i4] [j61] [j58] [j57] [j54] [j53] [c114] [c113] [c111] [c110] [c101] [c99] [j47] [c92] [c91] [j36] [c87] [c86] [c84] [c83] [p1] [j33] [c79] [c74] [c70] [j29] [j26] [j25] [c68] [c66] [j20] [c41] [c39] [c37] [c35] [j17] [j12] [c30] [c29] [c23] [c22] [c20] [c19] [j8] [c12] [j2]
[j48] [j46] [j43] [j42] [j41] [j39] [j38] [j37] [j36] [c84] [p1] [j35] [j34] [j33] [j32] [c82] [c81] [c80] [c79] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c55] [c54] [j24] [j23] [j22] [j21] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [j20] [j19] [j18] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [e1] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [j10] [j9] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [j8] [j7] [j6] [j5] [j4] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [j3] [j2] [c8] [c7] [c6] [c5] [j1] [c4] [c2] [c1]
Martin Styner
aka: Martin Andreas Styner
aka: Martin Andreas Styner
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last updated on 2025-01-28 23:36 CET by the dblp team
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