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ORCID20th ICIC 2024: Tianjin, China - Part I (LNBI)
- De-Shuang Huang, Qinhu Zhang, Jiayang Guo:
Advanced Intelligent Computing in Bioinformatics - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part I (LNBI). Lecture Notes in Computer Science 14881, Springer 2024, ISBN 978-981-97-5688-9
Biomedical Data Modeling and Mining
- Mingxia Wang, Yun Yang, Jun Qi, Fengtao Nan, Shunbao Li, Po Yang:
Alzheimer's Disease Diagnosis via Specific-Shared Representation Learning in Multimodal Neuroimaging. 3-14 - Mingchang Xu, Xiyang Peng, Po Yang, Jun Qi, Yun Yang:
An Activity Graph-Based Deep Convolutional Neural Network Framework in Symptom Severity Diagnosis Towards Parkinson's Disease Using Inertial Sensors. 15-26 - Xuan Liu, Xiaoli Lin, Fengli Zhou:
An Optimization Method for Drug Design Based on Molecular Features. 27-36 - Jianhua Cao, Xiaoyu Xu, Xiaomeng Zhang:
Application of Machine Learning and Large Language Model Module for Analyzing Gut Microbiota Data. 37-48 - Xiaonan Si, Yifan Fu, Xinran Liu, Rulin Wang, Wenchang Xu, Lei Wang:
CVAE-Based Hybrid Sampling Data Augmentation Method and Interpretation for Imbalanced Classification of Gout Disease. 49-60 - Maoyuan Li, Ling Chen, Jianmin Chu, Xinchong Shi, Xiangsong Zhang, Gansen Zhao
, Hua Tang:
DepthParkNet: A 3D Convolutional Neural Network with Depth-Aware Coordinate Attention for PET-Based Parkinson's Disease Diagnosis. 61-72 - Baofang Chang, Fuxiang Sun, Maodong Li, Peiyan Yuan, Hecang Zang, Hu Jin:
Gene Selection and Classification Method Based on SNR and Multi-loops BPSO. 73-84 - Hongbin Hu, Wenbin Liang, Xitao Zou, Xianchun Zou:
Graph Convolutional Networks Based Multi-modal Data Integration for Breast Cancer Survival Prediction. 85-98 - Yifan Yao, Ze-min Kuang, Xiwen Yang, Baoquan Wang, Zhaomeng Niu, Jiaxin Yang, Lun Hu, Xi Zhou, Pengwei Hu:
IDHPre: Intradialytic Hypotension Prediction Model Based on Fully Observed Features. 99-110 - Jia-Song Liu, Zhi-Heng Yi, Bo Huang, Fan Wu, Zu-Ping Zhang:
Machine Learning Models for Improved Cell Screening. 111-122 - Jing Wu, Yanqiong Ren, Fei Han, Xiang Bao:
Prediction of Bladder Cancer Prognosis by Deep Cox Proportional Hazards Model Based on Adversarial Autoencoder. 123-134 - Junliang Shang, Limin Zhang, Linqian Zhao, Xin He, Yan Zhao, Daohui Ge, Jin-Xing Liu, Feng Li:
SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification. 135-146 - Yili Zheng, Zhifang Liao, Jia Guo, Song Yu:
Short-Term Blood Glucose Prediction Method Based on Signal Decomposition and Bidirectional Networks. 147-158 - Jingru Chen, Jianyong Pan, Yan Zhu, Junyi Li:
SLGNNCT: Synthetic Lethality Prediction Based on Knowledge Graph for Different Cancers Types. 159-170 - Yongxin Mao, Ziwei Hu, Xinlin Zhang, Tong Tong:
TransPBMIL: Transformer-Based Weakly Supervised Prognostic Prediction in Ovarian Cancer with Pseudo-Bag Strategy. 171-180
Biomedical Informatics Theory and Methods
- Qi Wang, Jiachang Gu, Jiahao Zhang, Mingming Liu, Xu Jin, Maoqiang Xie:
A Heterogeneous Cross Contrastive Learning Method for Drug-Target Interaction Prediction. 183-194 - Cheng Wang, Ya-Jie Zhang, Xin Xia, Yan-Sen Su, Chun-Hou Zheng, Qing-Wen Wu:
A Retrieval-Based Molecular Style Transformation Optimization Model. 195-206 - Huiyan Lin, Yunshu Gao, Heng Li, Xiaotian Zhang, Xiangyang Yu, Jianwen Chen, Jiang Liu:
Aggregation Strategy with Gradient Projection for Federated Learning in Diagnosis. 207-218 - Yibo Liu, Ting Ke:
Coronary Artery 3D/2D Registration Based on Particle Swarm Optimization of Contextual Morphological Features. 219-228 - Xia Li, Sensen Zhang, Yang Liu, Peng Bi, Tiangui Hu:
Enhancing Drug-Drug Interaction Predictions in Biomedical Knowledge Graphs Through Integration of Householder Projections and Capsule Network Techniques. 229-240 - Yi Qiu, Long Cheng, Man Xu, Jing Chen, Hongjie Wu:
Feature Extraction Approach for Predicting Protein-DNA Binding Residues Using Transformer Encoder-Decoder Architecture. 241-250 - Weiting Yu, Zhimin Li, Cheng Liang:
GCEA: Contrastive-Enhanced Autoencoders with Adaptive Completion for Partial Multi-omics Integration in Cancer Subtyping. 251-262 - Zimai Zhang, Bo-Wei Zhao, Yu-An Huang, Zhu-Hong You, Lun Hu, Xi Zhou, Pengwei Hu:
GGANet: A Model for the Prediction of MiRNA-Drug Resistance Based on Contrastive Learning and Global Attention. 263-275 - Huajian Wang, Xiaochen Mu, Tengfei Zhang, Jianan Ning, Yuefeng Ma:
Multi-atlas Hypergraph Fusion Based on Brain Regions Overlap Amount for Diagnosis of ASD. 276-286 - Yuguang Chen, Mei Shen, Dongmei Lu, Jun Lin, Jiaoyue Hu, Shiying Li, Zuguo Liu:
Multi-input Deep Learning Model for RP Diagnosis Using FVEP and Prior Knowledge. 287-299 - Yibo Liu, Xiankun Zhang:
Quantitative Analysis of Lower Limb Alignments for Joint Disease Patient Based on Template Registration. 300-309 - Yi Liu, Quan Zou:
Spatial Domain Identifying: Graph Attention Network with Two Different Decoders. 310-320 - Jing Jing, Ying-Lian Gao, Yue Gao, Dao-Hui Ge, Chun-Hou Zheng, Jin-Xing Liu:
stMCFN: A Multi-view Contrastive Fusion Method for Spatial Domain Identification in Spatial Transcriptomics. 321-331
Pattern Recognition
- Fei Wu, Hao Chen, Quan Li, Tao Peng:
3D Partial U-Net: A Lightweight ConvNet for Head and Neck Lymph Node Segmentation. 335-346 - Fei Long, Haoren Xiong, Jun Sang:
A Classification Method for Diabetic Retinopathy Based on Self-supervised Learning. 347-357 - Di Wu, Yong Fan, Zhenchao Ouyang, Ke Lan, Xiaoli Liu, Hong Liang, Zhengbo Zhang:
Attention Fusion Network for Fine-Grained Sleep Apnea Detection Using Respiratory Signals. 358-369 - Wenrong Hu, Junliang Shang, Juan Wang, Jin-Xing Liu, Yuxia Wang, Shasha Yuan:
Automatic Seizure Recognition Based on Data Enhancement and 1DCNN-BiLSTM Network Using EEG Signal. 370-379 - Huifa Li, Jie Fu, Zhili Chen, Xiaomin Yang, Haitao Liu, Xinpeng Ling:
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-Cell Clustering. 380-392 - Boyang Li, Haojin Li, Yule Zhang, Heng Li, Jiangyu Chen, Fuhai Pan, Jianwen Chen, Jiang Liu:
FD-SDG: Frequency Dropout Based Single Source Domain Generalization Framework for Retinal Vessel Segmentation. 393-404 - Xin Luo, Zijun Mao, Suqing Duan, Xiankun Zhang, Chuanlei Zhang, Haifeng Fan:
LightSnore-Net: A Lightweight Neural Network for Snoring Detection and Mitigation in Smart Pillows. 405-416 - Qi Ke, Rong Gao, Wun-She Yap, Yee-Kai Tee, Yan Chai Hum, Yujian Gan:
Malaria Cell Images Classification with Deep Ensemble Learning. 417-427 - Yujie Liu, Qicheng Zhang:
Multi-source Unsupervised Domain Adaptation for Medical Image Recognition. 428-440 - Shuting Li, Baoyu Chen, Feng Li, Jingmei He, Feiyong He, Yingbiao Hu, Jingjia Chen, Huinian Li:
PlantViQ: Disease Recognition Across Varied Environments with Vision Transformer and Quadrangle Attention. 441-452 - Hongbo Huang, Xiaoxu Yan, Longfei Xu, Yaolin Zheng, Linkai Huang:
Unsupervised Anomaly Detection in Tongue Diagnosis with Semantic Guided Denoising Diffusion Models. 453-465
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