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ORCID19th ICIC 2023: Zhengzhou, China - Part III
- De-Shuang Huang, Prashan Premaratne, Baohua Jin, Boyang Qu, Kang-Hyun Jo, Abir Hussain:
Advanced Intelligent Computing Technology and Applications - 19th International Conference, ICIC 2023, Zhengzhou, China, August 10-13, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14088, Springer 2023, ISBN 978-981-99-4748-5
Biomedical Data Modeling and Mining
- Meng Zhang, Xiaolong Zhang
, He Deng, Hongwei Ren:
A Segmentation Method of 3D Liver Image Based on Multi-scale Feature Fusion and Coordinate Attention Mechanism. 3-15 - Ruiguo Yu, Pan Sun, Xuewei Li, Ruixuan Zhang, Zhiqiang Liu, Jie Gao:
A Prior-Guided Generative Adversarial Net for Semantically Strict Ultrasound Images Augmentation. 16-27 - Cong Shen, Xinyue Wang, Jijun Tang, Zhijun Liao:
DETA-Net: A Dual Encoder Network with Text-Guided Attention Mechanism for Skin-Lesions Segmentation. 28-40 - Weinian Cao, Shengxiang Rao, Lijun Luo, Huijuan Zhang, Changqing Yin:
PEA-U-Net: Parallel Embedded Attention for Liver and Tumor Segmentation in CT Volumes. 41-54 - Fangbo Liu, Feng Yang:
Federated Semi-supervised Medical Image Segmentation Based on Asynchronous Transmission. 55-66 - Jiliang Xu, Chungui Xu, Ruifen Cao, Yonghui He, Yannan Bin, Chun-Hou Zheng:
Generative Adversarial Network-Based Data Augmentation Method for Anti-coronavirus Peptides Prediction. 67-76 - Pi-Jing Wei, Shu-Li Zhou, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng:
Prediction of Cancer Driver Genes Based on Pyramidal Dynamic Mapping Algorithm. 77-86 - Lin Yuan, Jiawang Zhao, Zhen Shen, Wendong Yu, Hongwei Wei, Shengguo Sun, Xingang Wang, Yushui Geng:
Identification of CircRNA-Disease Associations from the Integration of Multi-dimensional Bioinformatics with Graph Auto-encoder and Attention Fusion Model. 87-96 - Lin Yuan, Jinling Lai, Zhen Shen, Wendong Yu, Hongwei Wei, Ling Zhao, Zhijie Xu, Xingang Wang, Yushui Geng:
An Improved Method for CFNet Identifying Glioma Cells. 97-105 - Dayu Tan, Yang Yang, Minglu Wang, Pengpeng Wang, Lejun Zhang, Tseren-Onolt Ishdorj, Yansen Su:
Extraction of Relationship Between Esophageal Cancer and Biomolecules Based on BioBERT. 106-118 - Yansen Su, Pengpeng Wang, Shuna Cui, Fei Xu, Tseren-Onolt Ishdorj:
BIJE: A Joint Extraction Model for Biomedical Information Extraction. 119-130 - Peixuan Lin, Likun Jiang, Fatma S. Ahmed, Xinru Ruan, Xiangrong Liu, Juan Liu:
MGCPI: A Multi-granularity Neural Network for Predicting Compound-Protein Interactions. 131-143 - Cheng Li, Xiaoyue Fang, Ran Zhou, Zhi Yang, Haitao Gan:
SSTVC: Carotid Plaque Classification from Ultrasound Images Using Self-supervised Triple-View Contrast Learning. 144-155 - Bo-Wei Zhao, Xiao-Rui Su, Yue Yang, Dong-Xu Li, Peng-Wei Hu, Zhu-Hong You, Lun Hu:
Multi-level Subgraph Representation Learning for Drug-Disease Association Prediction Over Heterogeneous Biological Information Network. 156-167 - Mei Yu, Zhiyuan Xu, Jie Gao, Jian Yu, Mankun Zhao:
An Unsupervised Domain Adaptive Network Based on Category Prototype Alignment for Medical Image Segmentation. 168-179 - Dong-Xu Li, Xun Deng, Bo-Wei Zhao, Xiao-Rui Su, Guo-Dong Li, Zhu-Hong You, Peng-Wei Hu, Lun Hu:
A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probability Matrix Over Heterogenous Information Networks. 180-191 - Haobo Shi, Yujie Gu, Hengyuan Zhang, Xuan Li, Yangkun Cao:
MORGAT: A Model Based Knowledge-Informed Multi-omics Integration and Robust Graph Attention Network for Molecular Subtyping of Cancer. 192-206
Biomedical Informatics Theory and Methods
- Yu Ma, Yuting Huang, Kaixiang Yuan, Guangzhe Xuan, Yongzi Yu, Hengrui Zhong, Rui Li, Jian Shen, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Explainable Stuttering Recognition Using Axial Attention. 209-220 - Dengkang Qin, Mengxue Liu, Zheng Chen, Qian Lei:
Optimizing Cardiac Surgery Risk Prediction: An Machine Learning Approach with Counterfactual Explanations. 221-232 - Lin Wang, Zhengzhong Wang, Quanrun Song, Changtong Ding, Xiaoning Li, Xiangwei Zhang, Shichao Geng:
Patient Mortality Prediction Based on Two-Layer Attention Neural Network. 233-245 - Kang Wang, Jing Hu, Xiaolong Zhang:
Identifying Drug-Target Interactions Through a Combined Graph Attention Mechanism and Self-attention Sequence Embedding Model. 246-257 - Ning Wang, Yizhang Jiang:
An Omics-Based Metastasis Prediction Model for Osteosarcoma Patients Using Multi-scale Attention Network. 258-267 - Yang Liu, Feng Li, Junliang Shang, Daohui Ge, Qianqian Ren, Shengjun Li:
Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets Affinity. 268-278 - Jiahao Zhang, Qingfang Meng, Zewen Wang:
Seizure Prediction Based on Multidimensional EEG Spatial Matrix and Residual Network Structure. 279-290 - Xu-Ran Dou, Wen-Yu Xi, Tian-Ru Wu, Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao:
LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction. 291-299 - Zihan Cao, Zhenwei Shi, Xiaomei Huang, Chu Han, Xinyu Dong, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu:
DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast Cancer. 300-311 - Xinyu Dong, Zhenwei Shi, Xiaomei Huang, Chu Han, Zihan Cao, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu:
Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRI. 312-323 - Yi-Ming Wang, Xiang-Zhen Kong, Boxin Guan, Chun-Hou Zheng, Ying-Lian Gao:
Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis. 324-334 - Yuan Zhang, Zhengbo Zhang, Xiaoli Liu, Lei Zha, Fengcong, Xiaorui Su, Bowei Zhao, Lun Hu, Pengwei Hu:
A Deep Learning Approach Incorporating Data Missing Mechanism in Predicting Acute Kidney Injury in ICU. 335-346 - Fangbo Liu, Feng Yang:
Medical Image Segmentation Based on Federated Distillation Optimization Learning on Non-IID Data. 347-358 - Yue Gao, Dai-Jun Zhang, Cui-Na Jiao, Ying-Lian Gao, Jin-Xing Liu:
Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder. 359-367
Intelligent Computing in Computational Biology
- Mingxiang Gao, Bo Li:
Molecular Identification Using Deep Learning Method. 371-382 - Yuehan Huang, Shuting Jin, Xinyu Yu, Changzhi Jiang, Zhengqiu Yu, Xiangrong Liu, Shaohui Huang:
RareDR: A Drug Repositioning Approach for Rare Diseases Based on Knowledge Graph. 383-394 - Jian Liu, Long Hou, Shu-Guang Ge:
Multi-omics Cancer Subtype Recognition Based on Multi-kernel Partition Aligned Subspace Clustering. 395-404 - Dongdong Mao, Cong Shen, Ruilin Wu, Yuyang Han, Yankai Wu, Jinxuan Wang, Jijun Tang, Zhijun Liao:
Prediction of LncRNA-Protein Interactions Based on Multi-kernel Fusion and Graph Auto-Encoders. 405-415 - Leyi Zhang, Yingjie Long, Yingbiao Hu, Huinian Li:
LXLMEPS: Leveraging the XGB-lCE-Based Model for Early Prediction of Sepsis. 416-427 - Hayat Ali Shah, Juan Liu, Zhihui Yang, Jing Feng:
DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks. 428-446 - Rongxing Wang, Junwei Xu, Xiaodi Huang, Wangjing Qi, Yanju Zhang:
SpliceSCANNER: An Accurate and Interpretable Deep Learning-Based Method for Splice Site Prediction. 447-459 - Yiming Qin, Jiajia Li, Yulong Chen, Zikai Wang, Yu-An Huang, Zhuhong You, Lun Hu, Pengwei Hu, Feng Tan:
TransOrga: End-To-End Multi-modal Transformer-Based Organoid Segmentation. 460-472 - Zi-Ang Fu, Xiaohua Wan, Fa Zhang:
GPU Optimization of Biological Macromolecule Multi-tilt Electron Tomography Reconstruction Algorithm. 473-484 - Junting Zhao, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong:
Multi-task Question Generation Based Data Augmentation for Biomedical Answer Generation. 485-496 - Zewen Wang, Qingfang Meng, Qiang Zhang, Jiahao Zhang:
Prediction of circRNA-Binding Protein Site Based on Hybrid Neural Networks and Recurrent Forests Method. 497-508 - Binhua Tang, Jiafei Nie:
An Improved Variational Autoencoder-Based Clustering Method for Pan-Cancer Diagnosis and Subtyping. 509-520 - Xiao Wang, Pengfei Li, Lijun Han, Rong Wang:
A Stacking-Based Ensemble Learning Predictor Combined with Particle Swarm Optimizer for Identifying RNA Pseudouridine Sites. 521-531 - Zhihua Du, Xing Zhong, Min Fang, Jianqiang Li:
GeneSpider: Inferring Gene Regulation Relationships Through Graph Neural Network from Single-Cell RNA Sequence Data. 532-543 - Pengyu Luo, Yuehan Huang, Xinyi Zhang, Lian Shen, Yuan Lin, Xiangrong Liu, Xiaoyang Huang:
Attention-Aware Contrastive Learning for Predicting Peptide-HLA Binding Specificity. 544-555 - Haipeng Zhao, Baozhong Zhu, Tengsheng Jiang, Zhiming Cui, Hongjie Wu:
A Transformer-Based Deep Learning Approach with Multi-layer Feature Processing for Accurate Prediction of Protein-DNA Binding Residues. 556-567 - Jianan Sui, Yuehui Chen, Yi Cao, Yaou Zhao:
TAPE-Pero: Using Deep Representation Learning Model to Identify and Localize Peroxisomal Proteins. 568-577 - Bolun Yang, Yuehui Chen, Yaou Zhao, Yi Cao:
Classification of Coding and Non-coding Genes in Paeonia Lactiflora Pall Based on Machine Learning. 578-586 - Jianan Sui, Yuehui Chen, Yi Cao, Yaou Zhao:
Accurate Identification of Submitochondrial Protein Location Based on Deep Representation Learning Feature Fusion. 587-596 - Baichuan Zhang, Zhuo Wang, Wenzheng Bao, Honglin Cheng:
Identification of Active and Binding Sites with Multi-dimensional Feature Vectors and K-Nearest Neighbor Classification Algorithm. 597-606 - Baichuan Zhang, Luying He, Qi Wang, Zhuo Wang, Wenzheng Bao, Honglin Cheng:
Mit Protein Transformer: Identification Mitochondrial Proteins with Transformer Model. 607-616 - Xunguang Ju, Kai Xiao, Luying He, Qi Wang, Zhuo Wang, Wenzheng Bao:
Plant Vacuole Protein Classification with Ensemble Stacking Model. 617-626 - Zonghao Li, Jing Hu, Xiaolong Zhang:
De Novo Drug Design Using Unified Multilayer Simple Recurrent Unit Model. 627-638 - Jiejin Deng, Yijia Zhang, Jing Zhang, Yaohua Pan, Mingyu Lu:
DTI-MACF: Drug-Target Interaction Prediction via Multi-component Attention Network. 639-650
Intelligent Computing in Drug Design
- Zhongyu He:
Drug-Target Interaction Prediction Based on Knowledge Graph and Convolutional Neural Network Integrated with CBAM Module. 653-665 - Runhua Zhang, Baozhong Zhu, Tengsheng Jiang, Zhiming Cui, Hongjie Wu:
Deep Learning-Based Prediction of Drug-Target Binding Affinities by Incorporating Local Structure of Protein. 666-675 - Baozhong Zhu, Runhua Zhang, Tengsheng Jiang, Zhiming Cui, Hongjie Wu:
Drug-Target Interaction Prediction Based on Interpretable Graph Transformer Model. 676-686 - Yu Jiang, Jingli Zhou, Yong Zhang, Yulin Wu, Xuan Wang, Junyi Li:
NIEE: Modeling Edge Embeddings for Drug-Disease Association Prediction via Neighborhood Interactions. 687-699 - Zhengda He, Linjie Chen, Hao Lv, Rui-ning Zhou, Jiaying Xu, Yadong Chen, Jianhua Hu, Yang Gao:
A Novel Descriptor and Molecular Graph-Based Bimodal Contrastive Learning Framework for Drug Molecular Property Prediction. 700-715 - Jiaxin Yang, Chuan-Yuan Wang, Duanchen Sun, Zhi-Ping Liu:
Multi-objective Optimization-Based Approach for Detection of Breast Cancer Biomarkers. 716-726 - Chunxiao Zhang, Pengpai Li, Duanchen Sun, Zhi-Ping Liu:
MOFNet: A Deep Learning Framework of Integrating Multi-omics Data for Breast Cancer Diagnosis. 727-738 - Zhengda He, Linjie Chen, Hao Lv, Rui-ning Zhou, Jiaying Xu, Yadong Chen, Jianhua Hu, Yang Gao:
EEG Convolutional Sparse Transformer for Epilepsy Detection and Related Drug Classification. 739-751 - Zhangfan Yang, Kun Cao, Junkai Ji, Zexuan Zhu, Jianqiang Li:
Adopting Autodock Koto for Virtual Screening of COVID-19. 752-763 - Haoran Liu, Xiaolong Zhang, Xiaoli Lin, Jing Hu:
An Efficient Drug Design Method Based on Drug-Target Affinity. 764-775 - Xizi Wang, Jing Hu, Xiaolong Zhang:
Drug-Target Affinity Prediction Based on Self-attention Graph Pooling and Mutual Interaction Neural Network. 776-790 - Zhenhua Cai, Xiaoli Lin, Xiaolong Zhang, Jing Hu:
DU-DANet: Efficient 3D Automatic Brain Tumor Segmentation Based on Dual Attention. 791-802 - Yiwen Zhang, Mengqi Cheng:
Drug-Target Interaction Prediction Based on Knowledge Graph Embedding and BiLSTM Networks. 803-813
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