Lung tumor segmentation and separation from PET volumes based on Tumor-Customized Downhill. - Xiuying Wang 001; Hui Cui 002; Cherry G. Ballangan; David Dagan Feng (BHI, 2012)

Automated localization and segmentation of lung tumor from PET-CT thorax volumes based on image feature analysis. - Hui Cui 002; Xiuying Wang 001; Dagan Feng 001 (EMBC, 2012)

Prior knowledge enhanced random walk for lung tumor segmentation from low-contrast CT images. - Hui Cui 002; Xiuying Wang 001; Michael J. Fulham; David Dagan Feng (EMBC, 2013)

Topology constraint graph-based model for non-small-cell lung tumor segmentation from PET volumes. - Hui Cui 002; Xiuying Wang 001; Jianlong Zhou; Michael J. Fulham; Stefan Eberl; Dagan Feng 001 (ISBI, 2014)

Learning multi-modality local and global affinities in graph based ranking for automated lung tumor delineation. - Hui Cui 002; Xiuying Wang 001; Jianlong Zhou; Guanzhong Gong; Yong Yin; Fu Zheng; Dagan Feng 001 (ISBI, 2016)

Topology-aware illumination design for volume rendering. - Jianlong Zhou; Xiuying Wang 001; Hui Cui 002; Peng Gong; Xianglin Miao; Yalin Miao; Chun Xiao; Fang Chen 001; Dagan Feng 001 (BMC Bioinform., 2016)

Primary lung tumor segmentation from PET-CT volumes with spatial-topological constraint. - Hui Cui 002; Xiuying Wang 001; Weiran Lin; Jianlong Zhou; Stefan Eberl; Dagan Feng 001; Michael J. Fulham (Int. J. Comput. Assist. Radiol. Surg., 2016)

3D Segmentation of Residual Thyroid Tissue Using Constrained Region Growing and Voting Strategies. - Guoqing Bao; Chaojie Zheng; Panli Li; Hui Cui 002; Xiuying Wang 001; Shaoli Song; Gang Huang; Dagan Feng 001 (DICTA, 2017)

Learning Deep Spatial Lung Features by 3D Convolutional Neural Network for Early Cancer Detection. - Taolin Jin; Hui Cui 002; Shan Zeng; Xiuying Wang 001 (DICTA, 2017)

Structure and location preserving topological representation with applications on CT segmentation. - Shatha Fawzi Awawdeh; Hui Cui 002; Xiuying Wang 001; David Dagan Feng (EMBC, 2017)

Multi-view collaborative segmentation for prostate MRI images. - Xiuying Wang 001; Wensi Tang; Hui Cui 002; Shan Zeng; David Dagan Feng; Michael J. Fulham (EMBC, 2017)

Computational boundary definition by geodesic graph model. - Hui Cui 002; Xiuying Wang 001; Jianlong Zhou; Guanzhong Gong; Yong Yin; Dagan Feng 001 (ISBI, 2017)

Ischemic stroke clinical outcome prediction based on image signature selection from multimodality data. - Hui Cui 002; Xiuying Wang 001; Yu Bian; Shaoli Song; David Dagan Feng (EMBC, 2018)

Collaborative learning based feature adaption model with applications on MRI prostate boundary delineation. - Xiuying Wang 001; Hui Cui 002; Chaojie Zheng; Shan Zeng; Wensi Tang; Peng Gong; Dagan Feng 001 (ISBI, 2018)

Thyroid classification via new multi-channel feature association and learning from multi-modality MRI images. - Rong Zhang; Qiufang Liu; Hui Cui 002; Xiuying Wang 001; Shaoli Song; Gang Huang; Dagan Feng 001 (ISBI, 2018)

A topo-graph model for indistinct target boundary definition from anatomical images. - Hui Cui 002; Xiuying Wang 001; Jianlong Zhou; Guanzhong Gong; Stefan Eberl; Yong Yin; Lisheng Wang; Dagan Feng 001; Michael J. Fulham (Comput. Methods Programs Biomed., 2018)

A Unified Collaborative Multikernel Fuzzy Clustering for Multiview Data. - Shan Zeng; Xiuying Wang 001; Hui Cui 002; Chaojie Zheng; David Dagan Feng (IEEE Trans. Fuzzy Syst., 2018)

Epileptic Seizure Detection with EEG Textural Features and Imbalanced Classification Based on EasyEnsemble Learning. - Chengfa Sun; Hui Cui 002; Weidong Zhou; Weiwei Nie; Xiuying Wang 001; Qi Yuan (Int. J. Neural Syst., 2019)

Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial network. - Szu-Chi Chen; Hui Cui 002; Ming-han Du; Tieming Fu; Xiaohong Sun; Yi Ji; Henry B. L. Duh (Frontiers Inf. Technol. Electron. Eng., 2019)

Collaborative Learning of Cross-channel Clinical Attention for Radiotherapy-Related Esophageal Fistula Prediction from CT. - Hui Cui 002; Yiyue Xu; Wanlong Li; Linlin Wang; Henry B. L. Duh (MICCAI (1), 2020)

Cantonese Porcelain Image Generation Using User-Guided Generative Adversarial Networks. - Steven Szu-Chi Chen; Hui Cui 002; Peng Tan; Xiaohong Sun; Yi Ji; Henry B. L. Duh; Mike Potel (IEEE Computer Graphics and Applications, 2020)

Integrating Channel Context Attention and Regional Association Attention for Kidney and Tumor Segmentation. - Ying Liu; Hui Cui 002; Tiangang Zhang; Toshiya Nakaguchi; Ping Xuan (EMBC, 2021)

MEAL: Meta enhanced Entropy-driven Adversarial Learning for Optic Disc and Cup Segmentation. - Bingqi Ma; Qi Yang; Hui Cui 002; Jiquan Ma (EMBC, 2021)

AMF-NET: Attention-aware Multi-scale Fusion Network for Retinal Vessel Segmentation. - Qi Yang; Bingqi Ma; Hui Cui 002; Jiquan Ma (EMBC, 2021)

Edge Prior and Spatial Attention Fusion Enhanced Hierarchical Multi-Patch Network for Image Deblurring. - Yafeng Zhao; Hui Cui 002; Binyu Zhao; Jiquan Ma (IJCNN, 2021)

Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction. - Hui Cui 002; Ping Xuan; Qiangguo Jin; Mingjun Ding; Butuo Li; Bing Zou; Yiyue Xu; Bingjie Fan; Wanlong Li; Jinming Yu; Linlin Wang; Henry B. L. Duh (MICCAI (5), 2021)

Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network. - Yulu Guan; Hui Cui 002; Yiyue Xu; Qiangguo Jin; Tian Feng 001; Huawei Tu; Ping Xuan; Wanlong Li; Linlin Wang; Henry Been-Lirn Duh (MICCAI (5), 2021)

Cascade knowledge diffusion network for skin lesion diagnosis and segmentation. - Qiangguo Jin; Hui Cui 002; Changming Sun; Zhaopeng Meng; Ran Su (Appl. Soft Comput., 2021)

Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction. - Nan Sheng; Hui Cui 002; Tiangang Zhang; Ping Xuan (Briefings Bioinform., 2021)

Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction. - Ping Xuan; Yu Zhang; Hui Cui 002; Tiangang Zhang; Maozu Guo 001; Toshiya Nakaguchi (Briefings Bioinform., 2021)

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. - Qiangguo Jin; Hui Cui 002; Changming Sun; Zhaopeng Meng; Leyi Wei; Ran Su (Expert Syst. Appl., 2021)

Free-form tumor synthesis in computed tomography images via richer generative adversarial network. - Qiangguo Jin; Hui Cui 002; Changming Sun; Zhaopeng Meng; Ran Su (Knowl. Based Syst., 2021)

COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework. - Jiannan Liu; Bo Dong 001; Shuai Wang 038; Hui Cui 002; Deng-Ping Fan; Jiquan Ma; Geng Chen 001 (Medical Image Anal., 2021)

Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data. - Geng Chen 001; Haotian Jiang; Jiannan Liu; Jiquan Ma; Hui Cui 002; Yong Xia 001; Pew-Thian Yap (MICCAI (1), 2022)

Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement. - Qiangguo Jin; Hui Cui 002; Changming Sun; Jiangbin Zheng 001; Leyi Wei; Zhenyu Fang; Zhaopeng Meng; Ran Su (MICCAI (2), 2022)

DC2U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net. - Haoran Yin; Pengbo Xu; Hui Cui 002; Geng Chen 001; Jiquan Ma (CDMRI@MICCAI, 2022)

Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets. - Ling Gao; Hui Cui 002; Tiangang Zhang; Nan Sheng; Ping Xuan (Briefings Bioinform., 2022)

ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction. - Kaimiao Hu; Hui Cui 002; Tiangang Zhang; Chang Sun 002; Ping Xuan (Briefings Bioinform., 2022)

GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction prediction. - Ping Xuan; Mengsi Fan; Hui Cui 002; Tiangang Zhang; Toshiya Nakaguchi (Briefings Bioinform., 2022)

Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs. - Ping Xuan; Zhe Gong; Hui Cui 002; Bochong Li; Tiangang Zhang (Briefings Bioinform., 2022)

Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association prediction. - Ping Xuan; Dong Wang; Hui Cui 002; Tiangang Zhang; Toshiya Nakaguchi (Briefings Bioinform., 2022)

Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs. - Ping Xuan; Shuai Wang 038; Hui Cui 002; Yue Zhao; Tiangang Zhang; Peiliang Wu (Briefings Bioinform., 2022)

Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction. - Hongda Zhang; Hui Cui 002; Tiangang Zhang; Yangkun Cao; Ping Xuan (Briefings Bioinform., 2022)

Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation. - Ping Xuan; Bin Jiang; Hui Cui 002; Qiangguo Jin; Peng Cheng; Toshiya Nakaguchi; Tiangang Zhang; Changyang Li; Zhiyu Ning; Menghan Guo; Linlin Wang (Comput. Methods Programs Biomed., 2022)

Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes. - Ping Xuan; Hui Cui 002; Hongda Zhang; Tiangang Zhang; Linlin Wang; Toshiya Nakaguchi; Henry B. L. Duh (Knowl. Based Syst., 2022)

Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures. - Yingying Song; Hui Cui 002; Tiangang Zhang; Tingxiao Yang; Xiaokun Li; Ping Xuan (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Learning Multi-Scale Heterogeneous Representations and Global Topology for Drug-Target Interaction Prediction. - Ping Xuan; Kaimiao Hu; Hui Cui 002; Tiangang Zhang; Toshiya Nakaguchi (IEEE J. Biomed. Health Informatics, 2022)

Graph Triple-Attention Network for Disease-Related LncRNA Prediction. - Ping Xuan; Liyun Zhan; Hui Cui 002; Tiangang Zhang; Toshiya Nakaguchi; Weixiong Zhang (IEEE J. Biomed. Health Informatics, 2022)

Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans. - Qiangguo Jin; Hui Cui 002; Changming Sun; Jiapeng Huang; Ping Xuan; Yiyue Xu; Linlin Wang; Leilei Cao; Leyi Wei; Ran Su (BIBM, 2023)

MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features. - Mingxin Liu; Yunzan Liu; Hui Cui 002; Chunquan Li 002; Jiquan Ma (BIBM, 2023)

Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information. - Qiangguo Jin; Changjiang Zou; Hui Cui 002; Changming Sun; Shu-Wei Huang; Yi-Jie Kuo; Ping Xuan; Leilei Cao; Ran Su; Leyi Wei; Henry B. L. Duh; Yu-Pin Chen (MICCAI (6), 2023)

SENIES: DNA Shape Enhanced Two-Layer Deep Learning Predictor for the Identification of Enhancers and Their Strength. - Ye Li; Fanhui Kong; Hui Cui 002; Fan Wang 026; Chunquan Li 002; Jiquan Ma (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction. - Ping Xuan; Yue Zhao; Hui Cui 002; Linyun Zhan; Qiangguo Jin; Tiangang Zhang; Toshiya Nakaguchi (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Learning from Deep Stereoscopic Attention for Simulator Sickness Prediction. - Ming-han Du; Hui Cui 002; Yuan Wang; Henry Been-Lirn Duh (IEEE Trans. Vis. Comput. Graph., 2023)

Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation. - Ping Xuan; Xixi Wu; Hui Cui 002; Qiangguo Jin; Linlin Wang; Tiangang Zhang; Toshiya Nakaguchi; Henry B. L. Duh (Appl. Soft Comput., 2023)

Class activation attention transfer neural networks for MCI conversion prediction. - Min Luo; Zhen He 002; Hui Cui 002; Yi-Ping Phoebe Chen; Phillip Ward (Comput. Biol. Medicine, 2023)

Effects of physical walking on eyes-engaged target selection with ray-casting pointing in virtual reality. - Yujun Lu; Boyu Gao 003; Huawei Tu; Huiyue Wu; Weiqiang Xin; Hui Cui 002; Weiqi Luo 002; Henry Been-Lirn Duh (Virtual Real., 2023)

Cross Pyramid Transformer makes U-net stronger in medical image segmentation. - Jinghua Zhu; Yue Sheng; Hui Cui 002; Jiquan Ma; Jijian Wang; Heran Xi (Biomed. Signal Process. Control., 2023)

Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association prediction. - Ping Xuan; Honglei Bai; Hui Cui 002; Xiaowen Zhang; Toshiya Nakaguchi; Tiangang Zhang (Comput. Biol. Medicine, 2023)

Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations. - Shuai Wang 038; Hui Cui 002; Tiangang Zhang; Peiliang Wu; Toshiya Nakaguchi; Ping Xuan (J. Chem. Inf. Model., 2023)

SESAME: Toward Medical Image Segmentation via Foundation Model-assisted Semi-supervised Learning. - Qiyun Hu; Junao Shen; Jinkang Ji; Xinyu Wang; Tian Feng 001; Hui Cui 002 (BIBM, 2024)

Super-resolved Estimation of White Matter Microstructure via 3D Conditional Latent Diffusion Model. - Jiquan Ma; Yihang Gao; Haotian Jiang; Jing Gu; Diliara Khairullina; Hui Cui 002; Geng Chen 001 (BIBM, 2024)

TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes. - Ran Su; Rui Shi; Hui Cui 002; Ping Xuan; Chengyan Fang; Xikang Feng; Qiangguo Jin (BIBM, 2024)

MSKI-Net: Towards modality-specific knowledge interaction for glioma survival prediction. - Ran Su; Jin Xiao; Hui Cui 002; Ping Xuan; Xikang Feng; Leyi Wei; Qiangguo Jin (BIBM, 2024)

MuMoSNet: 3D MRI-based Brain Tumor Segmentation via Multi-modal and Multi-scale Feature Fusion. - Zhiyuan Zhu; Zhiyuan Ning; Hui Cui 002; Junao Shen; Jiaheng Wang; Xinyu Wang; Tian Feng 001 (ICME, 2024)

Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise. - Haotian Jiang; Shu Zhang 001; Xuyun Wen; Hui Cui 002; Jun Lu; Islem Rekik; Jiquan Ma; Geng Chen 001 (ISBI, 2024)

Location Embedding Based Pairwise Distance Learning for Fine-Grained Diagnosis of Urinary Stones. - Qiangguo Jin; Jiapeng Huang; Changming Sun; Hui Cui 002; Ping Xuan; Ran Su; Leyi Wei; Yu-Jie Wu; Chia-An Wu; Henry B. L. Duh; Yueh-Hsun Lu (MICCAI (11), 2024)

A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis. - Jianqiao Zhang 003; Hao Xiong 001; Qiangguo Jin; Tian Feng 001; Jiquan Ma; Ping Xuan; Peng Cheng; Zhiyuan Ning; Zhiyu Ning; Changyang Li; Linlin Wang; Hui Cui 002 (MICCAI (5), 2024)

Evolving graph convolutional network with transformer for CT segmentation. - Hui Cui 002; Qiangguo Jin; Xixi Wu; Linlin Wang; Tiangang Zhang; Toshiya Nakaguchi; Ping Xuan; David Dagan Feng (Appl. Soft Comput., 2024)

Dual attention based fusion network for MCI Conversion Prediction. - Min Luo; Zhen He 002; Hui Cui 002; Phillip Ward; Yi-Ping Phoebe Chen (Comput. Biol. Medicine, 2024)

Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images. - Ping Xuan; Xiuqiang Chu; Hui Cui 002; Toshiya Nakaguchi; Linlin Wang; Zhiyuan Ning; Zhiyu Ning; Changyang Li; Tiangang Zhang (Comput. Biol. Medicine, 2024)

Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs. - Ping Xuan; Siyuan Lu; Hui Cui 002; Shuai Wang 038; Toshiya Nakaguchi; Tiangang Zhang (J. Chem. Inf. Model., 2024)

Mask-Guided Target Node Feature Learning and Dynamic Detailed Feature Enhancement for lncRNA-Disease Association Prediction. - Ping Xuan; Wei Wang; Hui Cui 002; Shuai Wang 038; Toshiya Nakaguchi; Tiangang Zhang (J. Chem. Inf. Model., 2024)

Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes. - Ping Xuan; Jing Gu; Hui Cui 002; Shuai Wang 038; Toshiya Nakaguchi; Cheng Liu; Tiangang Zhang (Bioinform., 2024)

Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. - Qiangguo Jin; Hui Cui 002; Changming Sun; Yang Song; Jiangbin Zheng 001; Leilei Cao; Leyi Wei; Ran Su (Expert Syst. Appl., 2024)

Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction. - Ping Xuan; Xiuju Wang; Hui Cui 002; Xiangfeng Meng; Toshiya Nakaguchi; Tiangang Zhang (IEEE J. Biomed. Health Informatics, 2024)

Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis Using Histopathological Images. - Mingxin Liu; Yunzan Liu; Pengbo Xu; Hui Cui 002; Jing Ke; Jiquan Ma (IEEE Trans. Medical Imaging, 2024)

In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images. - Junao Shen; Qiyun Hu; Tian Feng 001; Xinyu Wang; Hui Cui 002; Sensen Wu; Wei Zhang 243 (AAAI, 2025)

Interactive multi-hypergraph inferring and channel-enhanced and attribute-enhanced learning for drug-related side effect prediction. - Ping Xuan; Shien Wu; Hui Cui 002; Peiru Li; Toshiya Nakaguchi; Tiangang Zhang (Comput. Biol. Medicine, 2025)

PKDF-Net: Anticancer peptide prediction via a prior-knowledge-aware dual-path feature-entangled network. - Qiangguo Jin; Ankang Wu; Leyi Wei; Hui Cui 002; Ping Xuan; Xikang Feng; Ran Su (Eng. Appl. Artif. Intell., 2025)

Treasure in the background: Improve saliency object detection by self-supervised contrast learning. - Haoji Dong; Jie Wu; Chengcheng Xing; Heran Xi; Hui Cui 002; Jinghua Zhu (Expert Syst. Appl., 2025)

KNDM: A Knowledge Graph Transformer and Node Category Sensitive Contrastive Learning Model for Drug and Microbe Association Prediction. - Dongliang Chen; Tiangang Zhang; Hui Cui 002; Jing Gu; Ping Xuan (J. Chem. Inf. Model., 2025)

Neighborhood Topology-Aware Knowledge Graph Learning and Microbial Preference Inferring for Drug-Microbe Association Prediction. - Jing Gu; Tiangang Zhang; Yihang Gao; Sentao Chen; Yuxin Zhang; Hui Cui 002; Ping Xuan (J. Chem. Inf. Model., 2025)

Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side Effects. - Ping Xuan; Tianhong Cheng; Hui Cui 002; Jing Gu; Qiangguo Jin; Tiangang Zhang (J. Chem. Inf. Model., 2025)

Subgraph Topology and Dynamic Graph Topology Enhanced Graph Learning and Pairwise Feature Context Relationship Integration for Predicting Disease-Related miRNAs. - Ping Xuan; Xiaoying Qi; Sentao Chen; Jing Gu; Xiuju Wang; Hui Cui 002; Jun Lu; Tiangang Zhang (J. Chem. Inf. Model., 2025)

Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation. - Qiangguo Jin; Hui Cui 002; Junbo Wang; Changming Sun; Yimiao He; Ping Xuan; Linlin Wang; Cong Cong; Leyi Wei; Ran Su (Knowl. Based Syst., 2025)

CCA: Contrastive cluster assignment for supervised and semi-supervised medical image segmentation. - Jinghua Zhu; Chengying Huang; Heran Xi; Hui Cui 002 (Neural Networks, 2025)