Distribution-Based Active Contour Model for Medical Image Segmentation. - Yanrong Guo; Jianguo Jiang; Shijie Hao; Shu Zhan (ICIG, 2011)

Intervertebral Disc Shape Analysis with Geodesic Metric in Shape Space. - Shijie Hao; Jianguo Jiang; Yanrong Guo; Shu Zhan (ICIG, 2011)

A novel method for tracking of muscle thickness changes in ultrasound image sequences. - Xin Chen 025; Yanrong Guo; Wanguan Yi; Qiaoliang Li (ICCH, 2012)

Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint. - Yanrong Guo; Guorong Wu 001; Yakang Dai; Jianguo Jiang; Dinggang Shen (MCV, 2012)

Noninvasive assessment of liver viscoelasticity by acoustic radiation force with a rat model. - Yanrong Guo; Haoming Lin; Xinyu Zhang; Sheng Zhong 006; Yin Yin; Xin Chen 025 (ICICS, 2013)

In-vitro quantification of rat liver viscoelasticity with shear wave dispersion ultrasound vibrometry. - Yanrong Guo; Xin Chen 025; Haoming Lin; Xinyu Zhang (EMBC, 2013)

Preliminary study on the effect of stiffness on lamb wave propagation in bovine corneas. - Xinyu Zhang; Yin Yin; Yanrong Guo; Xian-Fen Diao; Xin Chen 025 (EMBC, 2013)

MR prostate segmentation via distributed discriminative dictionary (DDD) learning. - Yanrong Guo; Yiqiang Zhan; Yaozong Gao; Jianguo Jiang; Dinggang Shen (ISBI, 2013)

Active learning based intervertebral disk classification combining shape and texture similarities. - Shijie Hao; Jianguo Jiang; Yanrong Guo; Hong Li (Neurocomputing, 2013)

ε-Isometryε-Isometry based shape approximation for image content representation. - Shijie Hao; Jianguo Jiang; Yanrong Guo; Shu Zhan (Signal Process., 2013)

Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching. - Yanrong Guo; Guorong Wu 001; Jianguo Jiang; Dinggang Shen (IEEE Trans. Medical Imaging, 2013)

Quantitative Shear Elasticity Assessment of Liver Fibrosis in Rat Model with Shear Wave Elastography Base on Acoustic Radiation Force. - Haoming Lin; Xin Chen 025; Yanrong Guo; Yuanyuan Shen; Siping Chen (ICMB, 2014)

Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features. - Yanrong Guo; Guorong Wu 001; Leah A. Commander; Stephanie Szary; Valerie Jewells; Weili Lin; Dinggang Shen (MICCAI (2), 2014)

Novel Multi-Atlas Segmentation by Matrix Completion. - Gerard Sanroma; Guorong Wu 001; Kim-Han Thung; Yanrong Guo; Dinggang Shen (MLMI, 2014)

Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning. - Yeqin Shao; Yaozong Gao; Yanrong Guo; Yonghong Shi; Xin Yang 009; Dinggang Shen (IEEE Trans. Medical Imaging, 2014)

Joint labeling of multiple regions of interest (ROIS) by enhanced auto context models. - Minjeong Kim; Guorong Wu 001; Yanrong Guo; Dinggang Shen (ISBI, 2015)

Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph. - Pei Dong; Yanrong Guo; Dinggang Shen; Guorong Wu 001 (Patch-MI@MICCAI, 2015)

Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data. - Yanrong Guo; Guorong Wu 001; Pew-Thian Yap; Valerie Jewells; Weili Lin; Dinggang Shen (MICCAI (3), 2015)

Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression. - Yeqin Shao; Yanrong Guo; Yaozong Gao; Xin Yang 009; Dinggang Shen (MCV@MICCAI, 2015)

Building dynamic population graph for accurate correspondence detection. - Shaoyi Du; Yanrong Guo; Gerard Sanroma; Dong Ni 001; Guorong Wu 001; Dinggang Shen (Medical Image Anal., 2015)

A transversal approach for patch-based label fusion via matrix completion. - Gerard Sanroma; Guorong Wu 001; Yaozong Gao; Kim-Han Thung; Yanrong Guo; Dinggang Shen (Medical Image Anal., 2015)

Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation. - Li Wang 026; Yanrong Guo; Xiaohuan Cao; Guorong Wu 001; Dinggang Shen (Patch-MI@MICCAI, 2016)

Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning. - Pei Dong; Yanrong Guo; Yue Gao 002; Peipeng Liang; Yonghong Shi; Qian Wang 001; Dinggang Shen; Guorong Wu 001 (Patch-MI@MICCAI, 2016)

Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning. - Yanrong Guo; Pei Dong; Shijie Hao; Li Wang 026; Guorong Wu 001; Dinggang Shen (Patch-MI@MICCAI, 2016)

Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data. - Tanveer F. Syeda-Mahmood; Yanrong Guo; Mehdi Moradi; David Beymer; Deepta Rajan; Yu Cao; Yaniv Gur; Mohammadreza Negahdar (MICCAI (3), 2016)

Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs. - Zhengwang Wu; Sang Hyun Park 004; Yanrong Guo; Yaozong Gao; Dinggang Shen (MLMI@MICCAI, 2016)

Scale-Aware Spatially Guided Mapping. - Shijie Hao; Yanrong Guo; Richang Hong; Meng Wang 001 (IEEE Multim., 2016)

Image detail enhancement with spatially guided filters. - Shijie Hao; Daru Pan; Yanrong Guo; Richang Hong; Meng Wang 001 (Signal Process., 2016)

Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching. - Yanrong Guo; Yaozong Gao; Dinggang Shen (IEEE Trans. Medical Imaging, 2016)

Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching. - Yanrong Guo; Yaozong Gao; Dinggang Shen (Deep Learning for Medical Image Analysis, 2017)

The influence of hepatic steatosis on the evaluation of fibrosis with non-alcoholic fatty liver disease by acoustic radiation force impulse. - Yanrong Guo; Haoming Lin; Xinyu Zhang; Huiying Wen; Siping Chen; Xin Chen 025 (EMBC, 2017)

Noninvasive evaluation of corneal viscoelasticity based on displacement in response to acoustic radiation force. - Zhen Lv; Qing-Min Wang; Fu-Long Liu; Peng-Peng Zhang; Xue-Hua Gao; Yanrong Guo; Xinyu Zhang (EMBC, 2017)

Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis. - Xiaohuan Cao; Jianhua Yang 005; Yaozong Gao; Yanrong Guo; Guorong Wu 001; Dinggang Shen (Medical Image Anal., 2017)

Enhancing Low-Light Images with JPEG Artifact Based on Image Decomposition. - Chenmin Xu; Shijie Hao; Yanrong Guo; Richang Hong (PCM (2), 2018)

Image Synthesis with Aesthetics-Aware Generative Adversarial Network. - Rongjie Zhang; Xueliang Liu; Yanrong Guo; Shijie Hao (PCM (2), 2018)

Robust brain ROI segmentation by deformation regression and deformable shape model. - Zhengwang Wu; Yanrong Guo; Sang Hyun Park 004; Yaozong Gao; Pei Dong; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2018)

Low-light image enhancement with a refined illumination map. - Shijie Hao; Zhuang Feng; Yanrong Guo (Multim. Tools Appl., 2018)

Semantic segmentation of RGBD images based on deep depth regression. - Yanrong Guo; Tao Chen 017 (Pattern Recognit. Lett., 2018)

Combining Multi-level Loss for Image Denoising. - Fei Li 030; Nailiang Kuang; Jiangbin Zheng 001; Qianru Wei; Yue Xi; Yanrong Guo (BICS, 2019)

Lightness-aware contrast enhancement for images with different illumination conditions. - Shijie Hao; Yanrong Guo; Zhongliang Wei (Multim. Tools Appl., 2019)

Contextual Attention Refinement Network for Real-Time Semantic Segmentation. - Shijie Hao; Yuan Zhou 016; Youming Zhang; Yanrong Guo (IEEE Access, 2020)

Classification of autism spectrum disorder based on fluctuation entropy of spontaneous hemodynamic fluctuations. - Lingyu Xu; Yanrong Guo; Jun Li; Jie Yu 009; Huan Xu (Biomed. Signal Process. Control., 2020)

Bi-direction Context Propagation Network for Real-time Semantic Segmentation. - Shijie Hao; Yuan Zhou 016; Yanrong Guo; Richang Hong (CoRR, 2020)

Learning longitudinal classification-regression model for infant hippocampus segmentation. - Yanrong Guo; Zhengwang Wu; Dinggang Shen (Neurocomputing, 2020)

A Brief Survey on Semantic Segmentation with Deep Learning. - Shijie Hao; Yuan Zhou 016; Yanrong Guo (Neurocomputing, 2020)

Multi-class multimodal semantic segmentation with an improved 3D fully convolutional networks. - Han Jiang; Yanrong Guo (Neurocomputing, 2020)

Unsupervised video summarization via clustering validity index. - Ye Zhao 001; Yanrong Guo; Rui Sun 004; Zhengqiong Liu; Dan Guo 001 (Multim. Tools Appl., 2020)

Unsupervised feature selection based on joint spectral learning and general sparse regression. - Tao Chen 017; Yanrong Guo; Shijie Hao (Neural Comput. Appl., 2020)

Sparsity-regularized feature selection for multi-class remote sensing image classification. - Tao Chen 017; Ye Zhao 001; Yanrong Guo (Neural Comput. Appl., 2020)

Low-Light Image Enhancement With Semi-Decoupled Decomposition. - Shijie Hao; Xu Han; Yanrong Guo; Xin Xu 007; Meng Wang 001 (IEEE Trans. Multim., 2020)

Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning. - Pei Dong; Yanrong Guo; Yue Gao 002; Peipeng Liang; Yonghong Shi; Guorong Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Robust pencil drawing generation via fast Retinex decomposition. - Teng Li 019; Shijie Hao; Yanrong Guo (Comput. Graph., 2021)

MCGNet: Partial Multi-view Few-shot Learning via Meta-alignment and Context Gated-aggregation. - Yuan Zhou 016; Yanrong Guo; Shijie Hao; Richang Hong; Meng Wang 001 (CoRR, 2021)

Few-shot Learning with Global Relatedness Decoupled-Distillation. - Yuan Zhou 016; Yanrong Guo; Shijie Hao; Richang Hong; Zhen junzha; Meng Wang 001 (CoRR, 2021)

Editorial deep multi-source data analysis. - Shichao Zhang 001; Qing Xie 002; Yanrong Guo (Pattern Recognit. Lett., 2021)

Adaptive Multi-Task Dual-Structured Learning with Its Application on Alzheimer's Disease Study. - Shijie Hao; Tao Chen 017; Yang Wang 023; Yanrong Guo; Meng Wang 001 (ACM Trans. Internet Techn., 2021)

WRLqueue: A Lock-Free Queue For Embedded Real-Time System. - Qidi Yang; Lei Tang; Yanrong Guo; Nailiang Kuang; Sheng Zhong 006; Hangzai Luo (HPCC/DSS/SmartCity/DependSys, 2022)

EEG-Based Joint Semi-supervised Learning for Major Depressive Disorder Detection. - Tao Chen 017; Tong Zheng; Jinlong Shi; Yanrong Guo (ICPR Workshops (1), 2022)

A Topic-Attentive Transformer-based Model For Multimodal Depression Detection. - Yanrong Guo; Chenyang Zhu 005; Shijie Hao; Richang Hong (CoRR, 2022)

Adaptive dictionary and structure learning for unsupervised feature selection. - Yanrong Guo; Huihui Sun; Shijie Hao (Inf. Process. Manag., 2022)

Exploring Self-Attention Graph Pooling With EEG-Based Topological Structure and Soft Label for Depression Detection. - Tao Chen 017; Yanrong Guo; Shijie Hao; Richang Hong (IEEE Trans. Affect. Comput., 2022)

Hierarchical Prototype Refinement With Progressive Inter-Categorical Discrimination Maximization for Few-Shot Learning. - Yuan Zhou 016; Yanrong Guo; Shijie Hao; Richang Hong (IEEE Trans. Image Process., 2022)

Decoupled Low-Light Image Enhancement. - Shijie Hao; Xu Han; Yanrong Guo; Meng Wang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Low-Light Image Enhancement Based on Mutual Guidance Between Enhancing Strength and Image Appearance. - Linlin Hu; Shijie Hao; Yanrong Guo; Richang Hong; Meng Wang 001 (PRCV (11), 2023)

Advancing Incremental Few-shot Semantic Segmentation via Semantic-guided Relation Alignment and Adaptation. - Yuan Zhou 016; Xin Chen 033; Yanrong Guo; Shijie Hao; Richang Hong; Qi Tian 001 (CoRR, 2023)

Few-Shot Partial Multi-View Learning. - Yuan Zhou 016; Yanrong Guo; Shijie Hao; Richang Hong; Jiebo Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Automatic Depression Detection via Learning and Fusing Features From Visual Cues. - Yanrong Guo; Chenyang Zhu 005; Shijie Hao; Richang Hong (IEEE Trans. Comput. Soc. Syst., 2023)

Hierarchical Multifeature Fusion via Audio-Response-Level Modeling for Depression Detection. - Zhiyuan Zhou; Yanrong Guo; Shijie Hao; Richang Hong (IEEE Trans. Comput. Soc. Syst., 2023)

MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection. - Tao Chen 017; Richang Hong; Yanrong Guo; Shijie Hao; Bin Hu 001 (IEEE Trans. Cybern., 2023)

Advancing Incremental Few-Shot Semantic Segmentation via Semantic-Guided Relation Alignment and Adaptation. - Yuan Zhou 016; Xin Chen 033; Yanrong Guo; Jun Yu 002; Richang Hong; Qi Tian 001 (MMM (1), 2024)

Cascade Large Language Model via In-Context Learning for Depression Detection on Chinese Social Media. - Tong Zheng; Yanrong Guo; Richang Hong (PRCV (1), 2024)

Controllable Relation Disentanglement for Few-Shot Class-Incremental Learning. - Yuan Zhou 016; Richang Hong; Yanrong Guo; Lin Liu 016; Shijie Hao; Hanwang Zhang (CoRR, 2024)

InterMind: A Doctor-Patient-Family Interactive Depression Assessment System Empowered by Large Language Models. - Zhiyuan Zhou; Jilong Liu; Sanwang Wang; Shijie Hao; Yanrong Guo; Richang Hong (CoRR, 2024)

Multilevel depression status detection based on fine-grained prompt learning. - Jun Zhang; Yanrong Guo (Pattern Recognit. Lett., 2024)

Semi-Supervised Domain Adaptation for Major Depressive Disorder Detection. - Tao Chen 017; Yanrong Guo; Shijie Hao; Richang Hong (IEEE Trans. Multim., 2024)

A Prompt-Based Topic-Modeling Method for Depression Detection on Low-Resource Data. - Yanrong Guo; Jilong Liu; Lei Wang 185; Wei Qin; Shijie Hao; Richang Hong (IEEE Trans. Comput. Soc. Syst., 2024)

Improving UWB ranging accuracy via multiple network model with second order motion prediction. - Guangwei Xing; Yanrong Guo; Xiaoxuan Chen; Hangzai Luo; Sheng Zhong 006 (Clust. Comput., 2024)

Leaving None Behind: Data-Free Domain Incremental Learning for Major Depressive Disorder Detection. - Tao Chen 017; Yanrong Guo; Shijie Hao; Richang Hong (IEEE Trans. Affect. Comput., 2025)

Person Re-Identification With Arbitrary Modalities: A Multi-Modal Dataset and a Unified Framework. - Jingjing Wu 001; Zhun Zhong; Yanrong Guo; Shejiao Hu; Richang Hong (IEEE Trans. Inf. Forensics Secur., 2025)

Biomedical Relation Extraction via Adaptive Document-Relation Cross-Mapping and Concept Unique Identifier. - Yufei Shang; Yanrong Guo; Shijie Hao; Richang Hong (CoRR, 2025)

Real-Time Semantic Segmentation via Spatial-Detail Guided Context Propagation. - Shijie Hao; Yuan Zhou 016; Yanrong Guo; Richang Hong; Jun Cheng 002; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)