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BIC 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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