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ORCIDBIC 2024: Beijing, China
- Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, BIC 2024, Beijing, China, January 26-28, 2024. ACM 2024
Chapter 1 - Intelligent Medical Detection and Image Analysis Methods
- Hewei Li
:
A Distributed Independent Sample T-Test Protocol for Privacy Protection in Smart Healthcare. - Yiming Wang, Chun Fang:
Deep Learning Neural Network-Based Weibo Sentiment Analysis. - Jiquan Shen, Gang Liu, Junwei Luo:
HRGF-GapCloser: A gap filling method base on HiFi read and read clustering. - Zhentian Wang, Zhiyou Cheng, Chuanjian Wang, Zheng Wu, Sheng Wang, Hui Xu:
A method for extracting physiological parameters of anesthetic patients based on video. - Kai Zhai, Quan Liu, Yuyang Xiong, Xiaohan Qu, Jun Yang:
MVMS-GCN: A Multi-view Multi-source data fusion graph convolution neural network for predicting autism spectrum disorder with fMRI. - Menglu Xu, Hongjuan Wen:
Modelling the impact of medical student stress after a public health emergency based on Logistic regression algorithm A model of factors influencing medical student stress Using logistic regression algorithms to predict factors influencing medical student stress after a public health emergency. - Yun Jia, Fangxu Li, Weixiang Zhou, Wangming Xu:
Applying Image Processing and Analysis Methods in TCM Tongue Inspection Diagnosis: A Brief Survey. - Yaning Shi, Pu Sun, Bing Gu, Longfei Li:
Temporal Shift Vision Transformer Adapter for Efficient Video Action Recognition. - Jianming Sun, Xuyao Hao, Mengxin Zhao:
Image recognition of soybean leaf disease based on bilateral branching network BBN. - Wei Qiu, Dongxiao Shi, Qiang Li, Yating Zheng, Xiaohui Shen:
A Machine Learning Approach for Medical Imaging Evaluation. - Qianyang Huang, Shanshan Liu, Shixin Yang, Hongbo Chen:
SplitMorph: A dynamically enhanced liver image registration network based on feature separation fusion. - Xu Chang:
Research on Recommendation Algorithm Based on Knowledge Graph. - Wenjun Fan, Feng Wang, Runan Zheng, Xingze Wang:
An Improved Semantic Segmentation Method for Retinal OCT Images Based on High-Resolution Network and Polarized Self-Attention Mechanism. - Yuhao Sun, Feiyan Zhou:
Premature beats detection using a convolution neural network based on the frequency channel attention module. - Yawen Chen, Wei Kong:
Exploring imaging genetic associations of Alzheimer's disease base on a MDJNMF method Exploring imaging genetic associations in Alzheimer's disease. - Yuan Liu, Xiaotian Zhou, Xiaopeng Zhang, Jian Wang, Zhenguo Wen:
Convolutional Neural Networks and Raman Spectroscopy for Semi-Supervised Dataset Construction and Transfer Learning Applications in Real-Time Quantitative Detection. - Zenghui Li, Changming Song, Dongxu Cheng:
WCA-net: A Medical Image Segmentation Network via Wavelet Learning with Coordinated Calibration Attention. - Ziyun Wang, Yining Chen, Jianjun Yin:
Application of Improved U-Net with Feature Fusion and Expectation-Maximization Attention in Kidney Tumor Segmentation of CT Images. - Huadan Hao, Haonan Zhao, Dongya Huang, Hedi An, Deling Wang, Xiaolong Wang, Jinsong Zhang:
A new network for carotid artery plaque segmentation in ultrasound images. - Shitao Zhou, Yijun Liu, Wujian Ye:
EEG Recognition of Epilepsy Based on Spiking Recurrent Neural Network. - Shizhu Wang, Yan Wu, Qi Li:
3D Green Virtual Face P300 Spelling Paradigm Based on Mixed Reality. - Qizhao Zhu, Yan Wu, Qi Li:
A study of brain mechanisms by which light affects theta bands in working memory. - Dong Qing, Li Qi:
Research on Lightweight Spine X-ray Image Segmentation Algorithm Based on Knowledge Distillation. - Dingrui Liu, Buhailiqiemu Awudong, Xiujun Li, Qi Li:
Research on motor imaging EEG signals based on VMD. - Changbao Wang, Yuhu Shi:
A study of time-attention-directed convolutional neural networks in autism. - Hanlin Sun, Xurong Yan, Jingjing Yang, Qi Li:
Development of a brain-controlled robotic arm system for motor imagery based on MR visual guidance. - Xurong Yan, Qi Li, Hanlin Sun:
Intelligent Epilepsy Detection Based on Multihead Attention Homology Convolutional Networks. - Lina Chang, Qi Li, Xurong Yan:
Research on GCN-LSTM Emotion Recognition Algorithm with Attention Mechanism based on EEG. - Yuwei Yang, Shenjie Yan, Kaihao Gu, Hairui Wang, Xiaomei Wu:
A Simulation Study of Premature Ventricular Contractions Based on a Comprehensive Human Ventricular Electrophysiological Model.
Chapter 2 - Intelligent Medical Health Analytics and Data Driven
- Junping Zheng, Glenda Z. Doblas:
Utilizing Network Pharmacology and Molecular Docking Technology to Explore The Potential Molecular Mechanisms of Xue Fu Zhu Yu Tang In Treating Insomnia. - Shuxin Jeremy Qian:
Predicting Parkinson's Disease Progression with Random Forests. - Qi Chen, Nan Sheng:
Design of artificial intelligence auxiliary system for elderly care service based on big data analysis. - Yongwei Yang, Hong Li, Jiayu Wang:
Human physical examination health risk warning method based on deep data mining. - Chengyi Cai, Hui Liu, Xujiao Chen, Yanfei Li:
A Hybrid Intelligent Classification System for Geriatric Frailty Syndrome Prevention and Control. - Lulu Wang, Hui Liu, Xujiao Chen, Yanfei Li:
A Lightweight Parkinson's Disease Diagnostic Method Based on Hand-Drawn Spiral Lines. - Zhongyang Zhao, Long Zhang, Junshuai Zhang, Chenyang Li:
Prognostic prediction and analysis of key factors: a study of haemorrhagic stroke based on LGBM regression and structural equation modelling Prognostic Prediction of Haemorrhagic Stroke Factors LGBM Regression and Structural Equation Modelling Analysis. - Jiangxun Liu, Hui Liu, Yanfei Li, Qiong Chen:
Improved ResNet Based on Multidimensional Attention Mechanism for Clinical Assessment of Alzheimer's Disease in the Elderly. - Ming Huang, Jianjin Huang:
Research on Medical Artificial Intelligence in the Diagnosis of Periodontitis. - Jiahao Liu, Sen Niu, Rongqiang Zhang, Bofeng Zhang:
Predictive Modeling and Feature Analysis for Clinical Prognosis in Hemorrhagic Stroke Patients Using Machine Learning. - Huichao Shang, Menghao Guo, Xiao Zhang:
Visualization analysis of exoskeleton robot applied in rehabilitation field in recent 10 years. - Xinyu Cui, Yifeng Wang, Taiyi Wang:
Exploring the mechanism of acupuncture for ulcerative colitis based on network pharmacology techniques. - Lanhui Liu, Nor Intan Saniah Sulaiman, Fan Liu, Shuya Zhou, Zhendong Huang, Yuhao Tan, Cong Cao:
Classification and Identification of Male Hair Loss based on Deep Learning. - Enshuang Guo, Peng Li, Baoxin Shang, Guanghua Zhang:
Exploring Compatibility Laws in Traditional Chinese Medicine Prescriptions Through Data Mining. - Mingjun Han, Dinghao Guo, Jizhong Yuan, Chunyu Lu:
A Spatio-temporal Feature Fusion Network for Intelligent Analysis of Breast Cancer Contrast-Enhanced Ultrasound Video. - Yan Wang, Xiaotian Wu, Haoming Da, Shuangquan Zhang:
MMF-ATAC: A User-friendly Web Server for Multiple Motifs Finding on ATAC-seq Data. - Huichao Shang, Xiao Zhang, Penglei Li:
Visualization analysis of medical robot research in the past 20 years. - Hua Ma, Chengwen Zhao, Jun Ma:
Exploration of the effect of CDC20 in the diagnosis and prognosis of gastric cancer patients from a statistical and bioinformatics-based approach. - Yi Luo:
Study on personalized medical decision support System based on big data. - Wenjing Lv, Qunwen Niu, Lanying Wang, Shuang Song, Jiahao Huo, Lin Wang, Ruoxiu Xiao:
Tooth Segmentation from Cone Beam Computed Tomography using Skeleton-guided V-Net. - Bingyan Wang, Jianzhang Zhang, Xiuxiu Zhan, Chuang Liu:
Research on Joint Drug Prediction Based on Bipartite Networks. - Chenghao Yang, Zongjun Liu, Huzhi Cai, Qingyang Chen, Xinyu Chen:
Molecular Mechanism of Wenyang Zhenshuai Granule in Treatment of Chronic Heart Failure via Network pharmacology. - Te Li, Lingfei Wang, Xi Wang, Hong Sun:
Differential diagnosis of radiation encephalopathy and post-radiation brain tumor recurrence by machine learning models based on contrast-enhanced MRI. - Huidong Li, Ting Zhou, Zheng Huang, Shuo Tang:
Digital Interventions for Treating Adolescent Anxiety: A Meta-Analysis on Randomized Controlled Trials. - Xiaoping Hou:
GraphnsSNPs: Accurate Prediction of Disease-Associated nsSNPs by Utilizing Graph Neural Network. - Mixing Zhou, Zhaoxin Geng:
LSPR spectrometer integrated software system: advanced data processing algorithms for biosensing. - Jinlu Liu, Ping Ye, Bin Liu:
A Haplotype Reconstruction Algorithm for Tetraploid Individual Based on Enumeration Strategy. - Yonghang Huang, Hanjin Wen, Yangyang Wang, Lvyi Wu, Jinzhi Xiong, Ping Zhang:
Study on Patient Gait Based on GaitSet. - Ye Zhang, Qi Li, Yulong Liu:
A study of emotion recognition methods incorporating functional brain network features and self-attention mechanisms. - Mengfan Fu, Yanru Li, Meichen Guo, Zongjian Wu, Zhimou Li:
The scientific data reuse and intellectual property of data sharing in biomedical field.
Chapter 3 - Fundamentals of Bioinformatics and Cell Engineering
- T. Xu, L. Gu:
The Anti-tumor Effects of Ultrasonic Mechanical Force on human liver cancer cells. - Jiasheng He, Shun Zhang, Chun Fang:
Prediction of DNA enhancers based on multi-species genomic base model DNABERT-2 and BiGRU network. - Long Zhao, Huijia Song, Zihan Lin, Zhenguo Wen, Xiaozhu Lin:
Artificial intelligence design of ProteinA-like peptides. - Youxiang Cheng:
Genomic Relationships and Common Mechanisms across Neurodevelopmental Disorders. - Chengzhen Xu, Mengqi Cui, Yiwen Zhang, Zhengsheng Yin, Jianhua Song, Wei Zhao, Songqi Liu, Yaxi Duan, Linghua Wei, Xiaomin Wu:
SRKnot: Predicting RNA pseudoknot structure based on a stem replacement method Predicting RNA pseudoknot structure. - Yunfei Gao, Yanhong Liu, Shilei Zhao, Xingxing Ma, Yun Zhou:
Optimization of the YOLOv5 deep learning model for peripheral blood cell detection and recognition. - Yang Liu, Teng Chen:
Identification of Key Genes in the Colorectal Cancer Immune Microenvironment Through Integrated Analysis of Immune Infiltration Algorithms and Single-Cell Transcriptomics. - Qianle Liang, Wenjing Qiu, Weizhong Lin:
Predicting Protein Subcellular Localization with Multi-label using GraphSAGE and Multi-head Attention Mechanism. - Bangyu Zhu, Shaoqiang Zhang, Lixuan Li, Zhizhong Qian:
scRFR: imputation of single-cell RNA-seq data based on recurrent feature inference scRFR: scRNA-seq imputation algorithm Image restoration technology applied to scRNA-seq imputation - scRNA-seq imputation algorithm uses recurrent feature inference model. - Wenzhuo Li:
MRI Segmentation Methodology Utilizing Diffusion Models and Small-Sample Learning. - Bin Liu, Huiya Huang, Weixi Liao, Xiaoyong Pan, Cheng Jin, Ye Yuan:
DeepSipred: A deep-learning-based approach on siRNA inhibition prediction. - Nengsheng Bao, Peihong Li, Tuyan Li:
Comparing the Characteristics of PRV and HRV: A Reliability Study of PRV. - Weiheng Qian, Qinyu Ge:
Research on the Data Quality Factors Affecting Single-Cell Type Analysis. - Shunyuan Jia, Lin Leng, Jingyuan Fan, Xiang Pan:
MCIENet: A multi-attention context information fusion eccentric segmentation network. - Jixiang Fan, Chuang Liu, Jianzhang Zhang, Xiuxiu Zhan, Huajun Hu:
Prediction of degradation for mRNA vaccines based on pre-trained model. - Chaofeng Zhu, Yufen Liang:
Prognostic risk modeling of head and neck cancer based on ferroptosis and drug sensitivity analysis of related genes. - Zheng He, Xinyu Shen, Yanlin Zhou, Yong Wang:
Application of K-means clustering based on artificial intelligence in gene statistics of biological information engineering. - Qiwen Deng, Yuexia Han, Jianfei Sun:
A Joint Framework for Predicting Disease-Gene Interactions Based on Pre-trained Models and Graph Attention Networks. - Shichen Zhang, Yiwen Xiang:
scSwin: a supervised cell-type annotation method for single-cell RNA sequencing data using Swin Transformer. - Xiaolan Zhang, Yudie Wang, Shuai Xiong, Ying Feng, Lixia Zhou, Xian Li, Zhihui Luo, Jingjiao Zhou:
Screening and identification of the core genes and drug targets in COVID-19 and coronary artery disease by integrated bioinformatics. - Jingyan Wu:
Using machine learning technology to identify platelet and megakaryocyte types in single-cell transcriptome data.
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