Hui Cui

According to our database, Hui Cui authored at least 87 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CCA: Contrastive cluster assignment for supervised and semi-supervised medical image segmentation.

Jinghua Zhu, Chengying Huang, Heran Xi, Hui Cui

Neural Networks, 2025

Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation.

Qiangguo Jin, Hui Cui, Junbo Wang, Changming Sun, Yimiao He, Ping Xuan, Linlin Wang, Cong Cong, Leyi Wei, Ran Su

Knowl. Based Syst., 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, Jun Lu, Tiangang Zhang

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, Jing Gu, Qiangguo Jin, Tiangang Zhang

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, Ping Xuan

J. Chem. Inf. Model., 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, Jing Gu, Ping Xuan

J. Chem. Inf. Model., 2025

Treasure in the background: Improve saliency object detection by self-supervised contrast learning.

Haoji Dong, Jie Wu, Chengcheng Xing, Heran Xi, Hui Cui, Jinghua Zhu

Expert Syst. Appl., 2025

PKDF-Net: Anticancer peptide prediction via a prior-knowledge-aware dual-path feature-entangled network.

Qiangguo Jin, Ankang Wu, Leyi Wei, Hui Cui, Ping Xuan, Xikang Feng, Ran Su

Eng. Appl. Artif. Intell., 2025

Interactive multi-hypergraph inferring and channel-enhanced and attribute-enhanced learning for drug-related side effect prediction.

Ping Xuan, Shien Wu, Hui Cui, Peiru Li, Toshiya Nakaguchi, Tiangang Zhang

Comput. Biol. Medicine, 2025

In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images.

Junao Shen, Qiyun Hu, Tian Feng, Xinyu Wang, Hui Cui, Sensen Wu, Wei Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Exploiting Geometric Features via Hierarchical Graph Pyramid Transformer for Cancer Diagnosis Using Histopathological Images.

Mingxin Liu, Yunzan Liu, Pengbo Xu, Hui Cui, Jing Ke, Jiquan Ma

IEEE Trans. Medical Imaging, August, 2024

Meta-Path Semantic and Global-Local Representation Learning Enhanced Graph Convolutional Model for Disease-Related miRNA Prediction.

Ping Xuan, Xiuju Wang, Hui Cui, Xiangfeng Meng, Toshiya Nakaguchi, Tiangang Zhang

IEEE J. Biomed. Health Informatics, July, 2024

Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation.

Qiangguo Jin, Hui Cui, Changming Sun, Yang Song, Jiangbin Zheng, Leilei Cao, Leyi Wei, Ran Su

Expert Syst. Appl., March, 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, Shuai Wang, Toshiya Nakaguchi, Cheng Liu, Tiangang Zhang

Bioinform., February, 2024

Mask-Guided Target Node Feature Learning and Dynamic Detailed Feature Enhancement for lncRNA-Disease Association Prediction.

Ping Xuan, Wei Wang, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang

J. Chem. Inf. Model., 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, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang

J. Chem. Inf. Model., 2024

Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images.

Ping Xuan, Xiuqiang Chu, Hui Cui, Toshiya Nakaguchi, Linlin Wang, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Tiangang Zhang

Comput. Biol. Medicine, 2024

Dual attention based fusion network for MCI Conversion Prediction.

Min Luo, Zhen He, Hui Cui, Phillip Ward, Yi-Ping Phoebe Chen

Comput. Biol. Medicine, 2024

Evolving graph convolutional network with transformer for CT segmentation.

Hui Cui, Qiangguo Jin, Xixi Wu, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan, David Dagan Feng

Appl. Soft Comput., 2024

A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis.

Jianqiao Zhang, Hao Xiong, Qiangguo Jin, Tian Feng, Jiquan Ma, Ping Xuan, Peng Cheng, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Linlin Wang, Hui Cui

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Location Embedding Based Pairwise Distance Learning for Fine-Grained Diagnosis of Urinary Stones.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise.

Haotian Jiang, Shu Zhang, Xuyun Wen, Hui Cui, Jun Lu, Islem Rekik, Jiquan Ma, Geng Chen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

MuMoSNet: 3D MRI-based Brain Tumor Segmentation via Multi-modal and Multi-scale Feature Fusion.

Zhiyuan Zhu, Zhiyuan Ning, Hui Cui, Junao Shen, Jiaheng Wang, Xinyu Wang, Tian Feng

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

MSKI-Net: Towards modality-specific knowledge interaction for glioma survival prediction.

Ran Su, Jin Xiao, Hui Cui, Ping Xuan, Xikang Feng, Leyi Wei, Qiangguo Jin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes.

Ran Su, Rui Shi, Hui Cui, Ping Xuan, Chengyan Fang, Xikang Feng, Qiangguo Jin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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, Geng Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

SESAME: Toward Medical Image Segmentation via Foundation Model-assisted Semi-supervised Learning.

Qiyun Hu, Junao Shen, Jinkang Ji, Xinyu Wang, Tian Feng, Hui Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations.

Shuai Wang, Hui Cui, Tiangang Zhang, Peiliang Wu, Toshiya Nakaguchi, Ping Xuan

J. Chem. Inf. Model., November, 2023

Specific topology and topological connection sensitivity enhanced graph learning for lncRNA-disease association prediction.

Ping Xuan, Honglei Bai, Hui Cui, Xiaowen Zhang, Toshiya Nakaguchi, Tiangang Zhang

Comput. Biol. Medicine, September, 2023

Cross Pyramid Transformer makes U-net stronger in medical image segmentation.

Jinghua Zhu, Yue Sheng, Hui Cui, Jiquan Ma, Jijian Wang, Heran Xi

Biomed. Signal Process. Control., September, 2023

Effects of physical walking on eyes-engaged target selection with ray-casting pointing in virtual reality.

Yujun Lu, Boyu Gao, Huawei Tu, Huiyue Wu, Weiqiang Xin, Hui Cui, Weiqi Luo, Henry Been-Lirn Duh

Virtual Real., June, 2023

Class activation attention transfer neural networks for MCI conversion prediction.

Min Luo, Zhen He, Hui Cui, Yi-Ping Phoebe Chen, Phillip Ward

Comput. Biol. Medicine, April, 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, Qiangguo Jin, Linlin Wang, Tiangang Zhang, Toshiya Nakaguchi, Henry B. L. Duh

Appl. Soft Comput., January, 2023

Learning from Deep Stereoscopic Attention for Simulator Sickness Prediction.

Ming-han Du, Hui Cui, Yuan Wang, Henry Been-Lirn Duh

IEEE Trans. Vis. Comput. Graph., 2023

Semantic Meta-Path Enhanced Global and Local Topology Learning for lncRNA-Disease Association Prediction.

Ping Xuan, Yue Zhao, Hui Cui, Linyun Zhan, Qiangguo Jin, Tiangang Zhang, Toshiya Nakaguchi

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

SENIES: DNA Shape Enhanced Two-Layer Deep Learning Predictor for the Identification of Enhancers and Their Strength.

Ye Li, Fanhui Kong, Hui Cui, Fan Wang, Chunquan Li, Jiquan Ma

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features.

Mingxin Liu, Yunzan Liu, Hui Cui, Chunquan Li, Jiquan Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Shape-aware contrastive deep supervision for esophageal tumor segmentation from CT scans.

Qiangguo Jin, Hui Cui, Changming Sun, Jiapeng Huang, Ping Xuan, Yiyue Xu, Linlin Wang, Leilei Cao, Leyi Wei, Ran Su

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Graph Triple-Attention Network for Disease-Related LncRNA Prediction.

Ping Xuan, Liyun Zhan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Weixiong Zhang

IEEE J. Biomed. Health Informatics, 2022

Learning Multi-Scale Heterogeneous Representations and Global Topology for Drug-Target Interaction Prediction.

Ping Xuan, Kaimiao Hu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi

IEEE J. Biomed. Health Informatics, 2022

Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures.

Yingying Song, Hui Cui, Tiangang Zhang, Tingxiao Yang, Xiaokun Li, Ping Xuan

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes.

Ping Xuan, Hui Cui, Hongda Zhang, Tiangang Zhang, Linlin Wang, Toshiya Nakaguchi, Henry B. L. Duh

Knowl. Based Syst., 2022

Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation.

Ping Xuan, Bin Jiang, Hui Cui, Qiangguo Jin, Peng Cheng, Toshiya Nakaguchi, Tiangang Zhang, Changyang Li, Zhiyu Ning, Menghan Guo, Linlin Wang

Comput. Methods Programs Biomed., 2022

Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction.

Hongda Zhang, Hui Cui, Tiangang Zhang, Yangkun Cao, Ping Xuan

Briefings Bioinform., 2022

Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs.

Ping Xuan, Shuai Wang, Hui Cui, Yue Zhao, Tiangang Zhang, Peiliang Wu

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, 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, Bochong Li, Tiangang Zhang

Briefings Bioinform., 2022

GVDTI: graph convolutional and variational autoencoders with attribute-level attention for drug-protein interaction prediction.

Ping Xuan, Mengsi Fan, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi

Briefings Bioinform., 2022

ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction.

Kaimiao Hu, Hui Cui, Tiangang Zhang, Chang Sun, Ping Xuan

Briefings Bioinform., 2022

Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets.

Ling Gao, Hui Cui, Tiangang Zhang, Nan Sheng, Ping Xuan

Briefings Bioinform., 2022

DC²U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net.

Haoran Yin, Pengbo Xu, Hui Cui, Geng Chen, Jiquan Ma

Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022

Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement.

Qiangguo Jin, Hui Cui, Changming Sun, Jiangbin Zheng, Leyi Wei, Zhenyu Fang, Zhaopeng Meng, Ran Su

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data.

Geng Chen, Haotian Jiang, Jiannan Liu, Jiquan Ma, Hui Cui, Yong Xia, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework.

Jiannan Liu, Bo Dong, Shuai Wang, Hui Cui, Deng-Ping Fan, Jiquan Ma, Geng Chen

Medical Image Anal., 2021

Free-form tumor synthesis in computed tomography images via richer generative adversarial network.

Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su

Knowl. Based Syst., 2021

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images.

Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su

Expert Syst. Appl., 2021

Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction.

Ping Xuan, Yu Zhang, Hui Cui, Tiangang Zhang, Maozu Guo, Toshiya Nakaguchi

Briefings Bioinform., 2021

Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction.

Nan Sheng, Hui Cui, Tiangang Zhang, Ping Xuan

Briefings Bioinform., 2021

Cascade knowledge diffusion network for skin lesion diagnosis and segmentation.

Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su

Appl. Soft Comput., 2021

Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network.

Yulu Guan, Hui Cui, Yiyue Xu, Qiangguo Jin, Tian Feng, Huawei Tu, Ping Xuan, Wanlong Li, Linlin Wang, Henry Been-Lirn Duh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Edge Prior and Spatial Attention Fusion Enhanced Hierarchical Multi-Patch Network for Image Deblurring.

Yafeng Zhao, Hui Cui, Binyu Zhao, Jiquan Ma

Proceedings of the International Joint Conference on Neural Networks, 2021

AMF-NET: Attention-aware Multi-scale Fusion Network for Retinal Vessel Segmentation.

Qi Yang, Bingqi Ma, Hui Cui, Jiquan Ma

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

MEAL: Meta enhanced Entropy-driven Adversarial Learning for Optic Disc and Cup Segmentation.

Bingqi Ma, Qi Yang, Hui Cui, Jiquan Ma

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Integrating Channel Context Attention and Regional Association Attention for Kidney and Tumor Segmentation.

Ying Liu, Hui Cui, Tiangang Zhang, Toshiya Nakaguchi, Ping Xuan

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Cantonese Porcelain Image Generation Using User-Guided Generative Adversarial Networks.

Steven Szu-Chi Chen, Hui Cui, Peng Tan, Xiaohong Sun, Yi Ji, Henry B. L. Duh, Mike Potel

IEEE Computer Graphics and Applications, 2020

Collaborative Learning of Cross-channel Clinical Attention for Radiotherapy-Related Esophageal Fistula Prediction from CT.

Hui Cui, Yiyue Xu, Wanlong Li, Linlin Wang, Henry B. L. Duh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial network.

Szu-Chi Chen, Hui Cui, Ming-han Du, Tieming Fu, Xiaohong Sun, Yi Ji, Henry B. L. Duh

Frontiers Inf. Technol. Electron. Eng., 2019

Epileptic Seizure Detection with EEG Textural Features and Imbalanced Classification Based on EasyEnsemble Learning.

Chengfa Sun, Hui Cui, Weidong Zhou, Weiwei Nie, Xiuying Wang, Qi Yuan

Int. J. Neural Syst., 2019

2018

A Unified Collaborative Multikernel Fuzzy Clustering for Multiview Data.

Shan Zeng, Xiuying Wang, Hui Cui, Chaojie Zheng, David Dagan Feng

IEEE Trans. Fuzzy Syst., 2018

A topo-graph model for indistinct target boundary definition from anatomical images.

Hui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Stefan Eberl, Yong Yin, Lisheng Wang, Dagan Feng, Michael J. Fulham

Comput. Methods Programs Biomed., 2018

Thyroid classification via new multi-channel feature association and learning from multi-modality MRI images.

Rong Zhang, Qiufang Liu, Hui Cui, Xiuying Wang, Shaoli Song, Gang Huang, Dagan Feng

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Collaborative learning based feature adaption model with applications on MRI prostate boundary delineation.

Xiuying Wang, Hui Cui, Chaojie Zheng, Shan Zeng, Wensi Tang, Peng Gong, Dagan Feng

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Ischemic stroke clinical outcome prediction based on image signature selection from multimodality data.

Hui Cui, Xiuying Wang, Yu Bian, Shaoli Song, David Dagan Feng

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Computational boundary definition by geodesic graph model.

Hui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Yong Yin, Dagan Feng

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Multi-view collaborative segmentation for prostate MRI images.

Xiuying Wang, Wensi Tang, Hui Cui, Shan Zeng, David Dagan Feng, Michael J. Fulham

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Structure and location preserving topological representation with applications on CT segmentation.

Shatha Fawzi Awawdeh, Hui Cui, Xiuying Wang, David Dagan Feng

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Learning Deep Spatial Lung Features by 3D Convolutional Neural Network for Early Cancer Detection.

Taolin Jin, Hui Cui, Shan Zeng, Xiuying Wang

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

3D Segmentation of Residual Thyroid Tissue Using Constrained Region Growing and Voting Strategies.

Guoqing Bao, Chaojie Zheng, Panli Li, Hui Cui, Xiuying Wang, Shaoli Song, Gang Huang, Dagan Feng

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016

Primary lung tumor segmentation from PET-CT volumes with spatial-topological constraint.

Hui Cui, Xiuying Wang, Weiran Lin, Jianlong Zhou, Stefan Eberl, Dagan Feng, Michael J. Fulham

Int. J. Comput. Assist. Radiol. Surg., 2016

Topology-aware illumination design for volume rendering.

Jianlong Zhou, Xiuying Wang, Hui Cui, Peng Gong, Xianglin Miao, Yalin Miao, Chun Xiao, Fang Chen, Dagan Feng

BMC Bioinform., 2016

Learning multi-modality local and global affinities in graph based ranking for automated lung tumor delineation.

Hui Cui, Xiuying Wang, Jianlong Zhou, Guanzhong Gong, Yong Yin, Fu Zheng, Dagan Feng

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2014

Topology constraint graph-based model for non-small-cell lung tumor segmentation from PET volumes.

Hui Cui, Xiuying Wang, Jianlong Zhou, Michael J. Fulham, Stefan Eberl, Dagan Feng

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

Prior knowledge enhanced random walk for lung tumor segmentation from low-contrast CT images.

Hui Cui, Xiuying Wang, Michael J. Fulham, David Dagan Feng

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Automated localization and segmentation of lung tumor from PET-CT thorax volumes based on image feature analysis.

Hui Cui, Xiuying Wang, Dagan Feng

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Lung tumor segmentation and separation from PET volumes based on Tumor-Customized Downhill.

Xiuying Wang, Hui Cui, Cherry G. Ballangan, David Dagan Feng

Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012