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ORCIDHui Cui 0002
Person information
- affiliation: La Trobe University, Department of Computer Science and Information Technology, Melbourne, Australia
- affiliation: University of Sydney, Biomedical and Multimedia Information Technologies Research Group, BMIT, Camperdown, NSW, Australia
Other persons with the same name
- Hui Cui — disambiguation page
- Hui Cui 0001
![[0000-0002-5820-2233]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5820-2233")
— Murdoch University, Discipline of Information Technology, Mathematics and Statistics, Perth, Australia (and 4 more) - Hui Cui 0003 — ShanghaiTech University, School of Life Science and Technology, China (and 1 more)
- Hui Cui 0004 — Shandong Normal University, School of Information Science and Engineering, Jinan, China
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2020 – today
- 2024
[j43]Hui Cui, Qiangguo Jin, Xixi Wu, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan, David Dagan Feng:
Evolving graph convolutional network with transformer for CT segmentation. Appl. Soft Comput. 165: 112069 (2024)- [j42]Ping Xuan, Jing Gu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Cheng Liu, Tiangang Zhang:
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes. Bioinform. 40(2) (2024) - [j41]Ping Xuan, Xiuqiang Chu, Hui Cui, Toshiya Nakaguchi, Linlin Wang, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Tiangang Zhang:
Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images. Comput. Biol. Medicine 177: 108640 (2024) - [j40]Min Luo, Zhen He, Hui Cui, Phillip Ward, Yi-Ping Phoebe Chen:
Dual attention based fusion network for MCI Conversion Prediction. Comput. Biol. Medicine 182: 109039 (2024) - [j39]Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su:
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. Expert Syst. Appl. 238(Part E): 122093 (2024) - [j38]Ping Xuan, Siyuan Lu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang:
Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs. J. Chem. Inf. Model. 64(8): 3569-3578 (2024) - [j37]Ping Xuan, Wei Wang, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang:
Mask-Guided Target Node Feature Learning and Dynamic Detailed Feature Enhancement for lncRNA-Disease Association Prediction. J. Chem. Inf. Model. 64(16): 6662-6675 (2024) - [j36]Ping Xuan, Xiuju Wang, Hui Cui, Xiangfeng Meng, Toshiya Nakaguchi, Tiangang Zhang:
Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction. IEEE J. Biomed. Health Informatics 28(7): 4306-4316 (2024) - [j35]Mingxin Liu, Yunzan Liu, Pengbo Xu, Hui Cui, Jing Ke, Jiquan Ma:
Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis Using Histopathological Images. IEEE Trans. Medical Imaging 43(8): 2888-2900 (2024) - [c29]Zhiyuan Zhu, Zhiyuan Ning, Hui Cui, Junao Shen, Jiaheng Wang, Xinyu Wang, Tian Feng:
MuMoSNet: 3D MRI-based Brain Tumor Segmentation via Multi-modal and Multi-scale Feature Fusion. ICME 2024: 1-6 - [c28]Haotian Jiang, Shu Zhang, Xuyun Wen, Hui Cui, Jun Lu, Islem Rekik, Jiquan Ma, Geng Chen:
Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise. ISBI 2024: 1-5 - [c27]Jianqiao Zhang, Hao Xiong, Qiangguo Jin, Tian Feng, Jiquan Ma, Ping Xuan, Peng Cheng, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Linlin Wang, Hui Cui:
A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis. MICCAI (5) 2024: 25-35 - [c26]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:
Location Embedding Based Pairwise Distance Learning for Fine-Grained Diagnosis of Urinary Stones. MICCAI (11) 2024: 405-414 - [i5]Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su:
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation. CoRR abs/2403.12767 (2024) - [i4]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:
Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones. CoRR abs/2407.00431 (2024) - 2023
- [j34]Ping Xuan, Xixi Wu, Hui Cui, Qiangguo Jin, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Henry B. L. Duh:
Multi-scale random walk driven adaptive graph neural network with dual-head neighboring node attention for CT segmentation. Appl. Soft Comput. 133: 109905 (2023) - [j33]Jinghua Zhu, Yue Sheng, Hui Cui, Jiquan Ma, Jijian Wang, Heran Xi:
Cross Pyramid Transformer makes U-net stronger in medical image segmentation. Biomed. Signal Process. Control. 86(Part C): 105361 (2023) - [j32]Min Luo, Zhen He, Hui Cui, Yi-Ping Phoebe Chen, Phillip Ward:
Class activation attention transfer neural networks for MCI conversion prediction. Comput. Biol. Medicine 156: 106700 (2023) - [j31]Ping Xuan, Honglei Bai, Hui Cui, Xiaowen Zhang, Toshiya Nakaguchi, Tiangang Zhang:
Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association prediction. Comput. Biol. Medicine 164: 107265 (2023) - [j30]Shuai Wang, Hui Cui, Tiangang Zhang, Peiliang Wu, Toshiya Nakaguchi, Ping Xuan:
Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations. J. Chem. Inf. Model. 63(21): 6947-6958 (2023) - [j29]Ye Li, Fanhui Kong, Hui Cui, Fan Wang, Chunquan Li, Jiquan Ma:
SENIES: DNA Shape Enhanced Two-Layer Deep Learning Predictor for the Identification of Enhancers and Their Strength. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 637-645 (2023) - [j28]Ping Xuan, Yue Zhao, Hui Cui, Linyun Zhan, Qiangguo Jin, Tiangang Zhang, Toshiya Nakaguchi:
Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1480-1491 (2023) - [j27]Ming-han Du, Hui Cui, Yuan Wang, Henry Been-Lirn Duh:
Learning from Deep Stereoscopic Attention for Simulator Sickness Prediction. IEEE Trans. Vis. Comput. Graph. 29(2): 1415-1423 (2023) - [j26]Yujun Lu, Boyu Gao, Huawei Tu, Huiyue Wu, Weiqiang Xin, Hui Cui, Weiqi Luo, Henry Been-Lirn Duh:
Effects of physical walking on eyes-engaged target selection with ray-casting pointing in virtual reality. Virtual Real. 27(2): 603-625 (2023) - [c25]Qiangguo Jin, Hui Cui, Changming Sun, Jiapeng Huang, Ping Xuan, Yiyue Xu, Linlin Wang, Leilei Cao, Leyi Wei, Ran Su:
Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans. BIBM 2023: 1188-1193 - [c24]Mingxin Liu, Yunzan Liu, Hui Cui, Chunquan Li, Jiquan Ma:
MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features. BIBM 2023: 1306-1312 - [c23]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:
Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information. MICCAI (6) 2023: 85-94 - [i3]Mingxin Liu, Yunzan Liu, Hui Cui, Chunquan Li, Jiquan Ma:
MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features. CoRR abs/2311.11659 (2023) - 2022
- [j25]Ling Gao, Hui Cui, Tiangang Zhang, Nan Sheng, Ping Xuan:
Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets. Briefings Bioinform. 23(1) (2022) - [j24]Ping Xuan, Mengsi Fan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi:
GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction prediction. Briefings Bioinform. 23(1) (2022) - [j23]Ping Xuan, Dong Wang, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi:
Integration of pairwise neighbor topologies and miRNA family and cluster attributes for miRNA-disease association prediction. Briefings Bioinform. 23(1) (2022) - [j22]Kaimiao Hu, Hui Cui, Tiangang Zhang, Chang Sun, Ping Xuan:
ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction. Briefings Bioinform. 23(2) (2022) - [j21]Hongda Zhang, Hui Cui, Tiangang Zhang, Yangkun Cao, Ping Xuan:
Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction. Briefings Bioinform. 23(2) (2022) - [j20]Ping Xuan, Zhe Gong, Hui Cui, Bochong Li, Tiangang Zhang:
Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAs. Briefings Bioinform. 23(3) (2022) - [j19]Ping Xuan, Shuai Wang, Hui Cui, Yue Zhao, Tiangang Zhang, Peiliang Wu:
Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs. Briefings Bioinform. 23(5) (2022) - [j18]Ping Xuan, Bin Jiang, Hui Cui, Qiangguo Jin, Peng Cheng, Toshiya Nakaguchi, Tiangang Zhang, Changyang Li, Zhiyu Ning, Menghan Guo, Linlin Wang:
Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation. Comput. Methods Programs Biomed. 226: 107147 (2022) - [j17]Ping Xuan, Hui Cui, Hongda Zhang, Tiangang Zhang, Linlin Wang, Toshiya Nakaguchi, Henry B. L. Duh:
Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes. Knowl. Based Syst. 236: 107360 (2022) - [j16]Yingying Song, Hui Cui, Tiangang Zhang, Tingxiao Yang, Xiaokun Li, Ping Xuan:
Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2963-2974 (2022) - [j15]Ping Xuan, Kaimiao Hu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi:
Learning Multi-Scale Heterogeneous Representations and Global Topology for Drug-Target Interaction Prediction. IEEE J. Biomed. Health Informatics 26(4): 1891-1902 (2022) - [j14]Ping Xuan, Liyun Zhan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Weixiong Zhang:
Graph Triple-Attention Network for Disease-Related LncRNA Prediction. IEEE J. Biomed. Health Informatics 26(6): 2839-2849 (2022) - [c22]Qiangguo Jin, Hui Cui, Changming Sun, Jiangbin Zheng, Leyi Wei, Zhenyu Fang, Zhaopeng Meng, Ran Su:
Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement. MICCAI (2) 2022: 3-13 - [c21]Geng Chen, Haotian Jiang, Jiannan Liu, Jiquan Ma, Hui Cui, Yong Xia, Pew-Thian Yap:
Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data. MICCAI (1) 2022: 113-122 - [c20]Haoran Yin, Pengbo Xu, Hui Cui, Geng Chen, Jiquan Ma:
DC2U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net. CDMRI@MICCAI 2022: 115-124 - 2021
- [j13]Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su:
Cascade knowledge diffusion network for skin lesion diagnosis and segmentation. Appl. Soft Comput. 99: 106881 (2021) - [j12]Nan Sheng, Hui Cui, Tiangang Zhang, Ping Xuan:
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction. Briefings Bioinform. 22(3) (2021) - [j11]Ping Xuan, Yu Zhang, Hui Cui, Tiangang Zhang, Maozu Guo, Toshiya Nakaguchi:
Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction. Briefings Bioinform. 22(5) (2021) - [j10]Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su:
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. Expert Syst. Appl. 176: 114848 (2021) - [j9]Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su:
Free-form tumor synthesis in computed tomography images via richer generative adversarial network. Knowl. Based Syst. 218: 106753 (2021) - [j8]Jiannan Liu, Bo Dong, Shuai Wang, Hui Cui, Deng-Ping Fan, Jiquan Ma, Geng Chen:
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework. Medical Image Anal. 74: 102205 (2021) - [c19]Ying Liu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan:
Integrating Channel Context Attention and Regional Association Attention for Kidney and Tumor Segmentation. EMBC 2021: 3078-3081 - [c18]Bingqi Ma, Qi Yang, Hui Cui, Jiquan Ma:
MEAL: Meta enhanced Entropy-driven Adversarial Learning for Optic Disc and Cup Segmentation. EMBC 2021: 3273-3276 - [c17]Qi Yang, Bingqi Ma, Hui Cui, Jiquan Ma:
AMF-NET: Attention-aware Multi-scale Fusion Network for Retinal Vessel Segmentation. EMBC 2021: 3277-3280 - [c16]Yafeng Zhao, Hui Cui, Binyu Zhao, Jiquan Ma:
Edge Prior and Spatial Attention Fusion Enhanced Hierarchical Multi-Patch Network for Image Deblurring. IJCNN 2021: 1-8 - [c15]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:
Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction. MICCAI (5) 2021: 657-666 - [c14]Yulu Guan, Hui Cui, Yiyue Xu, Qiangguo Jin, Tian Feng, Huawei Tu, Ping Xuan, Wanlong Li, Linlin Wang, Henry Been-Lirn Duh:
Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network. MICCAI (5) 2021: 721-730 - [i2]Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su:
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. CoRR abs/2104.09699 (2021) - [i1]Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su:
Free-form tumor synthesis in computed tomography images via richer generative adversarial network. CoRR abs/2104.09701 (2021) - 2020
- [j7]Steven Szu-Chi Chen, Hui Cui, Peng Tan, Xiaohong Sun, Yi Ji, Henry B. L. Duh, Mike Potel:
Cantonese Porcelain Image Generation Using User-Guided Generative Adversarial Networks. IEEE Computer Graphics and Applications 40(5): 100-107 (2020) - [c13]Hui Cui, Yiyue Xu, Wanlong Li, Linlin Wang, Henry B. L. Duh:
Collaborative Learning of Cross-channel Clinical Attention for Radiotherapy-Related Esophageal Fistula Prediction from CT. MICCAI (1) 2020: 212-220
2010 – 2019
- 2019
- [j6]Chengfa Sun, Hui Cui, Weidong Zhou, Weiwei Nie, Xiuying Wang, Qi Yuan:
Epileptic Seizure Detection with EEG Textural Features and Imbalanced Classification Based on EasyEnsemble Learning. Int. J. Neural Syst. 29(10): 1950021:1-1950021:17 (2019) - [j5]Szu-Chi Chen, Hui Cui, Ming-han Du, Tieming Fu, Xiaohong Sun, Yi Ji, Henry B. L. Duh:
Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial network. Frontiers Inf. Technol. Electron. Eng. 20(12): 1632-1643 (2019) - 2018
- [j4]Hui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Stefan Eberl, Yong Yin, Lisheng Wang, Dagan Feng, Michael J. Fulham:
A topo-graph model for indistinct target boundary definition from anatomical images. Comput. Methods Programs Biomed. 159: 211-222 (2018) - [j3]Shan Zeng, Xiuying Wang, Hui Cui, Chaojie Zheng, David Dagan Feng:
A Unified Collaborative Multikernel Fuzzy Clustering for Multiview Data. IEEE Trans. Fuzzy Syst. 26(3): 1671-1687 (2018) - [c12]Hui Cui, Xiuying Wang, Yu Bian, Shaoli Song, David Dagan Feng:
Ischemic stroke clinical outcome prediction based on image signature selection from multimodality data. EMBC 2018: 722-725 - [c11]Rong Zhang, Qiufang Liu, Hui Cui, Xiuying Wang, Shaoli Song, Gang Huang, Dagan Feng:
Thyroid classification via new multi-channel feature association and learning from multi-modality MRI images. ISBI 2018: 277-280 - [c10]Xiuying Wang, Hui Cui, Chaojie Zheng, Shan Zeng, Wensi Tang, Peng Gong, Dagan Feng:
Collaborative learning based feature adaption model with applications on MRI prostate boundary delineation. ISBI 2018: 809-812 - 2017
- [c9]Guoqing Bao, Chaojie Zheng, Panli Li, Hui Cui, Xiuying Wang, Shaoli Song, Gang Huang, Dagan Feng:
3D Segmentation of Residual Thyroid Tissue Using Constrained Region Growing and Voting Strategies. DICTA 2017: 1-5 - [c8]Shatha Fawzi Awawdeh, Hui Cui, Xiuying Wang, David Dagan Feng:
Structure and location preserving topological representation with applications on CT segmentation. EMBC 2017: 548-551 - [c7]Xiuying Wang, Wensi Tang, Hui Cui, Shan Zeng, David Dagan Feng, Michael J. Fulham:
Multi-view collaborative segmentation for prostate MRI images. EMBC 2017: 3529-3532 - [c6]Hui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Yong Yin, Dagan Feng:
Computational boundary definition by geodesic graph model. ISBI 2017: 1201-1204 - 2016
- [j2]Jianlong Zhou, Xiuying Wang, Hui Cui, Peng Gong, Xianglin Miao, Yalin Miao, Chun Xiao, Fang Chen, Dagan Feng:
Topology-aware illumination design for volume rendering. BMC Bioinform. 17: 309 (2016) - [j1]Hui Cui, Xiuying Wang, Weiran Lin, Jianlong Zhou, Stefan Eberl, Dagan Feng, Michael J. Fulham:
Primary lung tumor segmentation from PET-CT volumes with spatial-topological constraint. Int. J. Comput. Assist. Radiol. Surg. 11(1): 19-29 (2016) - [c5]Hui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Yong Yin, Fu Zheng, Dagan Feng:
Learning multi-modality local and global affinities in graph based ranking for automated lung tumor delineation. ISBI 2016: 948-951 - 2014
- [c4]Hui Cui, Xiuying Wang, Jianlong Zhou, Michael J. Fulham, Stefan Eberl, Dagan Feng:
Topology constraint graph-based model for non-small-cell lung tumor segmentation from PET volumes. ISBI 2014: 1243-1246 - 2013
- [c3]Hui Cui, Xiuying Wang, Michael J. Fulham, David Dagan Feng:
Prior knowledge enhanced random walk for lung tumor segmentation from low-contrast CT images. EMBC 2013: 6071-6074 - 2012
- [c2]Xiuying Wang, Hui Cui, Cherry G. Ballangan, David Dagan Feng:
Lung tumor segmentation and separation from PET volumes based on Tumor-Customized Downhill. BHI 2012: 820-823 - [c1]Hui Cui, Xiuying Wang, Dagan Feng:
Automated localization and segmentation of lung tumor from PET-CT thorax volumes based on image feature analysis. EMBC 2012: 5384-5387
Coauthor Index
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