Hui Cui - RankMe

107 papers A* 1A 1B 1Misc 2Journal 70Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multi-Scale Neighbor Topology Guided Transformer and Kolmogorov-Arnold Network Enhanced Feature Learning Model for Disease-Related circRNA Prediction. IEEE J. Biomed. Health Informatics Ping Xuan, Haoyuan Li, Hui Cui, Zelong Xu, Toshiya Nakaguchi, Tiangang Zhang
2026	J	`jnl`	Inferring drug-related microbes through multi-perspective node feature distribution encoding and multi-scale hypergraph learning. Eng. Appl. Artif. Intell. Fengjiao Sun, Sentao Chen, Hui Cui, Jing Gu, Ping Xuan, Tiangang Zhang
2026	J	`jnl`	Mix-contrastive learning with multi-way fusion for high-efficiency semi-supervised medical image segmentation. Biomed. Signal Process. Control. Zhengda Wu, Hui Cui, Jiquan Ma, Jinghua Zhu
2026	J	`jnl`	Precise estimation of tissue microstructure with hybrid graph transformer. Artif. Intell. Medicine Haotian Jiang, Geng Chen, Jiquan Ma, Hui Cui, Shu Zhang, Yong Xia, Pew-Thian Yap
2026	J	`jnl`	Super-resolved microstructure estimation with 3D dual-conditioned latent diffusion model. Knowl. Based Syst. Jiquan Ma, Yu Guo, Yihang Gao, Fanhui Kong, Xiuchun Li, Hui Cui, Haotian Jiang, Geng Chen
2026	J	`jnl`	Topology-enhanced hypergraph learning and adaptive multi-graph transformer for prediction of drug-related side effects. Expert Syst. Appl. Ping Xuan, Xidong Yang, Sentao Chen, Hui Cui, Zelong Xu, Qiangguo Jin, Tiangang Zhang
2026	J	`jnl`	Two-Handed Click and Tap: Expanding Input Vocabulary of Controllers for Virtual Reality Interaction. IEEE Trans. Vis. Comput. Graph. Huawei Tu, Boyu Gao, Yujun Lu, Weiqiang Xin, Hui Cui, Weiqi Luo, Jian Weng, Henry Been-Lirn Duh
2025	—	`conf`	ADSA-Net: Addressing Intra- and Inter-Class Variabilities for Severity Assessment of Atopic Dermatitis. BIBM Qiangguo Jin, Xurong Chen, Hui Cui, Changming Sun, Youpeng Deng, Cong Cong, Yuqi Fang, Ran Su, Leyi Wei, Xiaoqing Zhao
2025	J	`jnl`	CCA: Contrastive cluster assignment for supervised and semi-supervised medical image segmentation. Neural Networks Jinghua Zhu, Chengying Huang, Heran Xi, Hui Cui
2025	J	`jnl`	CMI-MTL: Cross-Mamba interaction based multi-task learning for medical visual question answering. CoRR Qiangguo Jin, Xianyao Zheng, Hui Cui, Changming Sun, Yuqi Fang, Cong Cong, Ran Su, Leyi Wei, Ping Xuan, Junbo Wang
2025	J	`jnl`	DeSC: Learning Deep Semantic Descriptor for NeRF Registration. IEEE Trans. Vis. Comput. Graph. Sheldon Fung, Wei Pan, Kui Su, Hui Cui, Xinkui Zhao, Xuequan Lu
2025	—	`conf`	Distributed Radar Imaging with Parallel Cross-Attention for Continuous Human Motion Recognition. VTC2025-Spring Jianqiao Zhang, Yijie Gao, Hao Xiong, Jiquan Ma, Qiangguo Jin, Changyang Li, Peng Cheng, Hui Cui
2025	A*	`conf`	In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images. AAAI Junao Shen, Qiyun Hu, Tian Feng, Xinyu Wang, Hui Cui, Sensen Wu, Wei Zhang
2025	J	`jnl`	Interactive multi-hypergraph inferring and channel-enhanced and attribute-enhanced learning for drug-related side effect prediction. Comput. Biol. Medicine Ping Xuan, Shien Wu, Hui Cui, Peiru Li, Toshiya Nakaguchi, Tiangang Zhang
2025	J	`jnl`	Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation. CoRR Qiangguo Jin, Hui Cui, Junbo Wang, Changming Sun, Yimiao He, Ping Xuan, Linlin Wang, Cong Cong, Leyi Wei, Ran Su
2025	J	`jnl`	Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation. Knowl. Based Syst. Qiangguo Jin, Hui Cui, Junbo Wang, Changming Sun, Yimiao He, Ping Xuan, Linlin Wang, Cong Cong, Leyi Wei, Ran Su
2025	J	`jnl`	KNDM: A Knowledge Graph Transformer and Node Category Sensitive Contrastive Learning Model for Drug and Microbe Association Prediction. J. Chem. Inf. Model. Dongliang Chen, Tiangang Zhang, Hui Cui, Jing Gu, Ping Xuan
2025	J	`jnl`	Multi-Knowledge Graph and Multi-View Entity Feature Learning for Predicting Drug-Related Side Effects. J. Chem. Inf. Model. Ping Xuan, Tianhong Cheng, Hui Cui, Jing Gu, Qiangguo Jin, Tiangang Zhang
2025	J	`jnl`	Neighborhood Topology-Aware Knowledge Graph Learning and Microbial Preference Inferring for Drug-Microbe Association Prediction. J. Chem. Inf. Model. Jing Gu, Tiangang Zhang, Yihang Gao, Sentao Chen, Yuxin Zhang, Hui Cui, Ping Xuan
2025	J	`jnl`	PKDF-Net: Anticancer peptide prediction via a prior-knowledge-aware dual-path feature-entangled network. Eng. Appl. Artif. Intell. Qiangguo Jin, Ankang Wu, Leyi Wei, Hui Cui, Ping Xuan, Xikang Feng, Ran Su
2025	J	`jnl`	Structure-sensitive transformer and multi-view graph contrastive learning enhanced prediction of drug-related microbes. BMC Bioinform. Ping Xuan, Rui Wang, Jing Gu, Hui Cui, Tiangang Zhang
2025	J	`jnl`	Subgraph Topology and Dynamic Graph Topology Enhanced Graph Learning and Pairwise Feature Context Relationship Integration for Predicting Disease-Related miRNAs. J. Chem. Inf. Model. Ping Xuan, Xiaoying Qi, Sentao Chen, Jing Gu, Xiuju Wang, Hui Cui, Jun Lu, Tiangang Zhang
2025	J	`jnl`	Treasure in the background: Improve saliency object detection by self-supervised contrast learning. Expert Syst. Appl. Haoji Dong, Jie Wu, Chengcheng Xing, Heran Xi, Hui Cui, Jinghua Zhu
2024	—	`conf`	A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis. MICCAI (5) Jianqiao Zhang, Hao Xiong, Qiangguo Jin, Tian Feng, Jiquan Ma, Ping Xuan, Peng Cheng, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Linlin Wang, Hui Cui
2024	J	`jnl`	Dual attention based fusion network for MCI Conversion Prediction. Comput. Biol. Medicine Min Luo, Zhen He, Hui Cui, Phillip Ward, Yi-Ping Phoebe Chen
2024	J	`jnl`	Dynamic category-sensitive hypergraph inferring and homo-heterogeneous neighbor feature learning for drug-related microbe prediction. Bioinform. Ping Xuan, Zelong Xu, Hui Cui, Jing Gu, Cheng Liu, Tiangang Zhang, Peiliang Wu
2024	J	`jnl`	Evolving graph convolutional network with transformer for CT segmentation. Appl. Soft Comput. Hui Cui, Qiangguo Jin, Xixi Wu, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan, David Dagan Feng
2024	J	`jnl`	Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis Using Histopathological Images. IEEE Trans. Medical Imaging Mingxin Liu, Yunzan Liu, Pengbo Xu, Hui Cui, Jing Ke, Jiquan Ma
2024	J	`jnl`	Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. CoRR Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su
2024	J	`jnl`	Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. Expert Syst. Appl. Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su
2024	J	`jnl`	Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs. J. Chem. Inf. Model. Ping Xuan, Siyuan Lu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang
2024	—	`conf`	Location Embedding Based Pairwise Distance Learning for Fine-Grained Diagnosis of Urinary Stones. MICCAI (11) Qiangguo Jin, Jiapeng Huang, Changming Sun, Hui Cui, Ping Xuan, Ran Su, Leyi Wei, Yu-Jie Wu, Chia-An Wu, Henry B. L. Duh, Yueh-Hsun Lu
2024	J	`jnl`	Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones. CoRR Qiangguo Jin, Jiapeng Huang, Changming Sun, Hui Cui, Ping Xuan, Ran Su, Leyi Wei, Yu-Jie Wu, Chia-An Wu, Henry B. L. Duh, Yueh-Hsun Lu
2024	—	`conf`	MSKI-Net: Towards modality-specific knowledge interaction for glioma survival prediction. BIBM Ran Su, Jin Xiao, Hui Cui, Ping Xuan, Xikang Feng, Leyi Wei, Qiangguo Jin
2024	J	`jnl`	Mask-Guided Target Node Feature Learning and Dynamic Detailed Feature Enhancement for lncRNA-Disease Association Prediction. J. Chem. Inf. Model. Ping Xuan, Wei Wang, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang
2024	J	`jnl`	Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction. IEEE J. Biomed. Health Informatics Ping Xuan, Xiuju Wang, Hui Cui, XiangFeng Meng, Toshiya Nakaguchi, Tiangang Zhang
2024	A	`conf`	MuMoSNet: 3D MRI-based Brain Tumor Segmentation via Multi-modal and Multi-scale Feature Fusion. ICME Zhiyuan Zhu, Zhiyuan Ning, Hui Cui, Junao Shen, Jiaheng Wang, Xinyu Wang, Tian Feng
2024	J	`jnl`	Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes. Bioinform. Ping Xuan, Jing Gu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Cheng Liu, Tiangang Zhang
2024	J	`jnl`	Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images. Comput. Biol. Medicine Ping Xuan, Xiuqiang Chu, Hui Cui, Toshiya Nakaguchi, Linlin Wang, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Tiangang Zhang
2024	—	`conf`	SESAME: Toward Medical Image Segmentation via Foundation Model-assisted Semi-supervised Learning. BIBM Qiyun Hu, Junao Shen, Jinkang Ji, Xinyu Wang, Tian Feng, Hui Cui
2024	—	`conf`	Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise. ISBI Haotian Jiang, Shu Zhang, Xuyun Wen, Hui Cui, Jun Lu, Islem Rekik, Jiquan Ma, Geng Chen
2024	—	`conf`	Super-resolved Estimation of White Matter Microstructure via 3D Conditional Latent Diffusion Model. BIBM Jiquan Ma, Yihang Gao, Haotian Jiang, Jing Gu, Diliara Khairullina, Hui Cui, Geng Chen
2024	—	`conf`	TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes. BIBM Ran Su, Rui Shi, Hui Cui, Ping Xuan, Chengyan Fang, Xikang Feng, Qiangguo Jin
2024	J	`jnl`	TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes. CoRR Ran Su, Rui Shi, Hui Cui, Ping Xuan, Chengyan Fang, Xikang Feng, Qiangguo Jin
2023	J	`jnl`	Class activation attention transfer neural networks for MCI conversion prediction. Comput. Biol. Medicine Min Luo, Zhen He, Hui Cui, Yi-Ping Phoebe Chen, Phillip Ward
2023	J	`jnl`	Cross Pyramid Transformer makes U-net stronger in medical image segmentation. Biomed. Signal Process. Control. Jinghua Zhu, Yue Sheng, Hui Cui, Jiquan Ma, Jijian Wang, Heran Xi
2023	J	`jnl`	Effects of physical walking on eyes-engaged target selection with ray-casting pointing in virtual reality. Virtual Real. Yujun Lu, Boyu Gao, Huawei Tu, Huiyue Wu, Weiqiang Xin, Hui Cui, Weiqi Luo, Henry Been-Lirn Duh
2023	J	`jnl`	Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations. J. Chem. Inf. Model. Shuai Wang, Hui Cui, Tiangang Zhang, Peiliang Wu, Toshiya Nakaguchi, Ping Xuan
2023	J	`jnl`	Learning from Deep Stereoscopic Attention for Simulator Sickness Prediction. IEEE Trans. Vis. Comput. Graph. Ming-han Du, Hui Cui, Yuan Wang, Henry Been-Lirn Duh
2023	—	`conf`	MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features. BIBM Mingxin Liu, Yunzan Liu, Hui Cui, Chunquan Li, Jiquan Ma
2023	J	`jnl`	MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features. CoRR Mingxin Liu, Yunzan Liu, Hui Cui, Chunquan Li, Jiquan Ma
2023	—	`conf`	Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information. MICCAI (6) Qiangguo Jin, Changjiang Zou, Hui Cui, Changming Sun, Shu-Wei Huang, Yi-Jie Kuo, Ping Xuan, Leilei Cao, Ran Su, Leyi Wei, Henry B. L. Duh, Yu-Pin Chen
2023	J	`jnl`	Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation. Appl. Soft Comput. Ping Xuan, Xixi Wu, Hui Cui, Qiangguo Jin, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Henry B. L. Duh
2023	J	`jnl`	SENIES: DNA Shape Enhanced Two-Layer Deep Learning Predictor for the Identification of Enhancers and Their Strength. IEEE ACM Trans. Comput. Biol. Bioinform. Ye Li, Fanhui Kong, Hui Cui, Fan Wang, Chunquan Li, Jiquan Ma
2023	J	`jnl`	Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Ping Xuan, Yue Zhao, Hui Cui, Linyun Zhan, Qiangguo Jin, Tiangang Zhang, Toshiya Nakaguchi
2023	—	`conf`	Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans. BIBM Qiangguo Jin, Hui Cui, Changming Sun, Jiapeng Huang, Ping Xuan, Yiyue Xu, Linlin Wang, Leilei Cao, Leyi Wei, Ran Su
2023	J	`jnl`	Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association prediction. Comput. Biol. Medicine Ping Xuan, Honglei Bai, Hui Cui, Xiaowen Zhang, Toshiya Nakaguchi, Tiangang Zhang
2022	J	`jnl`	ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction. Briefings Bioinform. Kaimiao Hu, Hui Cui, Tiangang Zhang, Chang Sun, Ping Xuan
2022	J	`jnl`	Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation. Comput. Methods Programs Biomed. Ping Xuan, Bin Jiang, Hui Cui, Qiangguo Jin, Peng Cheng, Toshiya Nakaguchi, Tiangang Zhang, Changyang Li, Zhiyu Ning, Menghan Guo, Linlin Wang
2022	—	`conf`	DC CDMRI@MICCAI Haoran Yin, Pengbo Xu, Hui Cui, Geng Chen, Jiquan Ma
2022	J	`jnl`	Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes. Knowl. Based Syst. Ping Xuan, Hui Cui, Hongda Zhang, Tiangang Zhang, Linlin Wang, Toshiya Nakaguchi, Henry B. L. Duh
2022	J	`jnl`	Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs. Briefings Bioinform. Ping Xuan, Zhe Gong, Hui Cui, Bochong Li, Tiangang Zhang
2022	J	`jnl`	GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction prediction. Briefings Bioinform. Ping Xuan, Mengsi Fan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi
2022	J	`jnl`	Graph Triple-Attention Network for Disease-Related LncRNA Prediction. IEEE J. Biomed. Health Informatics Ping Xuan, Liyun Zhan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Weixiong Zhang
2022	—	`conf`	Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data. MICCAI (1) Geng Chen, Haotian Jiang, Jiannan Liu, Jiquan Ma, Hui Cui, Yong Xia, Pew-Thian Yap
2022	J	`jnl`	Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association prediction. Briefings Bioinform. Ping Xuan, Dong Wang, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi
2022	J	`jnl`	Learning Multi-Scale Heterogeneous Representations and Global Topology for Drug-Target Interaction Prediction. IEEE J. Biomed. Health Informatics Ping Xuan, Kaimiao Hu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi
2022	J	`jnl`	Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs. Briefings Bioinform. Ping Xuan, Shuai Wang, Hui Cui, Yue Zhao, Tiangang Zhang, Peiliang Wu
2022	J	`jnl`	Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction. Briefings Bioinform. Hongda Zhang, Hui Cui, Tiangang Zhang, Yangkun Cao, Ping Xuan
2022	J	`jnl`	Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures. IEEE ACM Trans. Comput. Biol. Bioinform. Yingying Song, Hui Cui, Tiangang Zhang, Tingxiao Yang, Xiaokun Li, Ping Xuan
2022	J	`jnl`	Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets. Briefings Bioinform. Ling Gao, Hui Cui, Tiangang Zhang, Nan Sheng, Ping Xuan
2022	—	`conf`	Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement. MICCAI (2) Qiangguo Jin, Hui Cui, Changming Sun, Jiangbin Zheng, Leyi Wei, Zhenyu Fang, Zhaopeng Meng, Ran Su
2021	—	`conf`	AMF-NET: Attention-aware Multi-scale Fusion Network for Retinal Vessel Segmentation. EMBC Qi Yang, Bingqi Ma, Hui Cui, Jiquan Ma
2021	J	`jnl`	Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction. Briefings Bioinform. Nan Sheng, Hui Cui, Tiangang Zhang, Ping Xuan
2021	J	`jnl`	COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework. Medical Image Anal. Jiannan Liu, Bo Dong, Shuai Wang, Hui Cui, Deng-Ping Fan, Jiquan Ma, Geng Chen
2021	J	`jnl`	Cascade knowledge diffusion network for skin lesion diagnosis and segmentation. Appl. Soft Comput. Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su
2021	—	`conf`	Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction. MICCAI (5) Hui Cui, Ping Xuan, Qiangguo Jin, Mingjun Ding, Butuo Li, Bing Zou, Yiyue Xu, Bingjie Fan, Wanlong Li, Jinming Yu, Linlin Wang, Henry B. L. Duh
2021	J	`jnl`	Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. CoRR Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su
2021	J	`jnl`	Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. Expert Syst. Appl. Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su
2021	B	`conf`	Edge Prior and Spatial Attention Fusion Enhanced Hierarchical Multi-Patch Network for Image Deblurring. IJCNN Yafeng Zhao, Hui Cui, Binyu Zhao, Jiquan Ma
2021	J	`jnl`	Free-form tumor synthesis in computed tomography images via richer generative adversarial network. CoRR Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su
2021	J	`jnl`	Free-form tumor synthesis in computed tomography images via richer generative adversarial network. Knowl. Based Syst. Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su
2021	—	`conf`	Integrating Channel Context Attention and Regional Association Attention for Kidney and Tumor Segmentation. EMBC Ying Liu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan
2021	J	`jnl`	Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction. Briefings Bioinform. Ping Xuan, Yu Zhang, Hui Cui, Tiangang Zhang, Maozu Guo, Toshiya Nakaguchi
2021	—	`conf`	MEAL: Meta enhanced Entropy-driven Adversarial Learning for Optic Disc and Cup Segmentation. EMBC Bingqi Ma, Qi Yang, Hui Cui, Jiquan Ma
2021	—	`conf`	Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network. MICCAI (5) Yulu Guan, Hui Cui, Yiyue Xu, Qiangguo Jin, Tian Feng, Huawei Tu, Ping Xuan, Wanlong Li, Linlin Wang, Henry Been-Lirn Duh
2020	J	`jnl`	Cantonese Porcelain Image Generation Using User-Guided Generative Adversarial Networks. IEEE Computer Graphics and Applications Steven Szu-Chi Chen, Hui Cui, Peng Tan, Xiaohong Sun, Yi Ji, Henry B. L. Duh, Mike Potel
2020	—	`conf`	Collaborative Learning of Cross-channel Clinical Attention for Radiotherapy-Related Esophageal Fistula Prediction from CT. MICCAI (1) Hui Cui, Yiyue Xu, Wanlong Li, Linlin Wang, Henry B. L. Duh
2019	J	`jnl`	Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial network. Frontiers Inf. Technol. Electron. Eng. Szu-Chi Chen, Hui Cui, Ming-han Du, Tieming Fu, Xiaohong Sun, Yi Ji, Henry B. L. Duh
2019	J	`jnl`	Epileptic Seizure Detection with EEG Textural Features and Imbalanced Classification Based on EasyEnsemble Learning. Int. J. Neural Syst. Chengfa Sun, Hui Cui, Weidong Zhou, Weiwei Nie, Xiuying Wang, Qi Yuan
2018	J	`jnl`	A Unified Collaborative Multikernel Fuzzy Clustering for Multiview Data. IEEE Trans. Fuzzy Syst. Shan Zeng, Xiuying Wang, Hui Cui, Chaojie Zheng, David Dagan Feng
2018	J	`jnl`	A topo-graph model for indistinct target boundary definition from anatomical images. Comput. Methods Programs Biomed. Hui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Stefan Eberl, Yong Yin, Lisheng Wang, Dagan Feng, Michael J. Fulham
2018	—	`conf`	Collaborative learning based feature adaption model with applications on MRI prostate boundary delineation. ISBI Xiuying Wang, Hui Cui, Chaojie Zheng, Shan Zeng, Wensi Tang, Peng Gong, Dagan Feng
2018	—	`conf`	Ischemic stroke clinical outcome prediction based on image signature selection from multimodality data. EMBC Hui Cui, Xiuying Wang, Yu Bian, Shaoli Song, David Dagan Feng
2018	—	`conf`	Thyroid classification via new multi-channel feature association and learning from multi-modality MRI images. ISBI Rong Zhang, Qiufang Liu, Hui Cui, Xiuying Wang, Shaoli Song, Gang Huang, Dagan Feng
2017	Misc	`conf`	3D Segmentation of Residual Thyroid Tissue Using Constrained Region Growing and Voting Strategies. DICTA Guoqing Bao, Chaojie Zheng, Panli Li, Hui Cui, Xiuying Wang, Shaoli Song, Gang Huang, Dagan Feng
2017	—	`conf`	Computational boundary definition by geodesic graph model. ISBI Hui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Yong Yin, Dagan Feng
2017	Misc	`conf`	Learning Deep Spatial Lung Features by 3D Convolutional Neural Network for Early Cancer Detection. DICTA Taolin Jin, Hui Cui, Shan Zeng, Xiuying Wang
2017	—	`conf`	Multi-view collaborative segmentation for prostate MRI images. EMBC Xiuying Wang, Wensi Tang, Hui Cui, Shan Zeng, David Dagan Feng, Michael J. Fulham
2017	—	`conf`	Structure and location preserving topological representation with applications on CT segmentation. EMBC Shatha Fawzi Awawdeh, Hui Cui, Xiuying Wang, David Dagan Feng
2016	—	`conf`	Learning multi-modality local and global affinities in graph based ranking for automated lung tumor delineation. ISBI Hui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Yong Yin, Fu Zheng, Dagan Feng
2016	J	`jnl`	Primary lung tumor segmentation from PET-CT volumes with spatial-topological constraint. Int. J. Comput. Assist. Radiol. Surg. Hui Cui, Xiuying Wang, Weiran Lin, Jianlong Zhou, Stefan Eberl, Dagan Feng, Michael J. Fulham
2016	J	`jnl`	Topology-aware illumination design for volume rendering. BMC Bioinform. Jianlong Zhou, Xiuying Wang, Hui Cui, Peng Gong, Xianglin Miao, Yalin Miao, Chun Xiao, Fang Chen, Dagan Feng
2014	—	`conf`	Topology constraint graph-based model for non-small-cell lung tumor segmentation from PET volumes. ISBI Hui Cui, Xiuying Wang, Jianlong Zhou, Michael J. Fulham, Stefan Eberl, Dagan Feng
2013	—	`conf`	Prior knowledge enhanced random walk for lung tumor segmentation from low-contrast CT images. EMBC Hui Cui, Xiuying Wang, Michael J. Fulham, David Dagan Feng
2012	—	`conf`	Automated localization and segmentation of lung tumor from PET-CT thorax volumes based on image feature analysis. EMBC Hui Cui, Xiuying Wang, Dagan Feng
2012	—	`conf`	Lung tumor segmentation and separation from PET volumes based on Tumor-Customized Downhill. BHI Xiuying Wang, Hui Cui, Cherry G. Ballangan, David Dagan Feng