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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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Journal Articles
- 2024
- [j67]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) - [j66]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) - [j65]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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 2024
- [c140]Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim:
Learning to Approximate Adaptive Kernel Convolution on Graphs. AAAI 2024: 4882-4890 - 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 - 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. Medical Imaging: 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 - 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. Medical Imaging: 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
- [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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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
- [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
- [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 - 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
- [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
Parts in Books or Collections
- 2017
- [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
Editorship
- 2018
- [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
- [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
- [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
- [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
- [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
- [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]
Informal and Other Publications
- 2024
- [i7]Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim:
Learning to Approximate Adaptive Kernel Convolution on Graphs. CoRR abs/2401.11840 (2024) - [i6]Ziquan Wei, Tingting Dan, Guorong Wu:
Message Detouring: A Simple Yet Effective Cycle Representation for Expressive Graph Learning. CoRR abs/2402.08085 (2024) - 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
- [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) - 2020
- [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) - 2019
- [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)
Coauthor Index
aka: Martin Andreas Styner
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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