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ORCID4th ISAIMS 2023: Chengdu, China
- Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, ISAIMS 2023, Chengdu, China, October 20-22, 2023. ACM 2023
Chapter 1- Medical Image Analysis and Medical Segmentation Technology
- Zhe Duan
, Biyang Zhang:
DBS-based treatment study for Parkinson's disease. 1-8 - Dongyuan Wu, Shilin Qiu, Jing Qin, Pengbiao Zhao:
Multi-path fusion network based global attention for brain tumor segmentation. 9-13 - Jing Qin, Dongyuan Wu, Erqiang Zhou, Zhen Qin, Zhiguang Qin:
Differentiable Attention Unet-like Nerual Architecture Search for Multimodal Magnetic Resonance Imaging-based Glioma Segmentaion DAUNAS for Multimodal MRI-based Glioma Segmentation. 14-19 - Erqiang Deng, Peng Xiao, Erqiang Zhou:
Optimizing Network Architectures for Ultrasound Cardiac Segmentation. 20-25 - Peng Yao, Bingbing He, Yufeng Zhang, Zhiyao Li, Xun Lang:
The estimation of blood flow velocity profile with the Doppler Ultrasound based on adaptive pulse repetition frequency. 26-29 - Ziwei Li, Chong Wang, Lin Yang, Jie Yang, Ying Li, Cuiting Lian, Dongmei Hao, Guangfei Li, Yimin Yang, Xuwen Li:
Study of Pulse Wave Changes in Patients with End-stage Renal Disease Receiving Hemodialysis Treatment. 30-34 - Yuetong Lu, Liangkun Fang:
Cascaded Multi-scale Attention Network for Automatic Segmentation of the Right Ventricle in Cardiac Magnetic Resonance. 35-39 - Jixiang Ding:
GLFSU-Net: Global and Local Features Fusion Using Separable U-Net to Improve Anatomical Landmark Detection in 2D X-Ray Radiography ImagesGLFSU-Net: Improving Anatomical Landmark Detection in 2D X-Ray Radiography Images. 40-50 - Jiakun Deng, Yi Mou:
Pancreatic Tumor Segmentation Based on 3D U-Net with Densely Connected Atrous Spatial Pyramid Module and Attention Module. 51-58 - Bo Lu, Shengjie Han, Xiaotong Ding, Guang Li:
Motor imagery electroencephalogram classification based on Riemannian geometry and deep learning framework. 59-62 - Xiaomin Liu, Jingyao Xu, Xuchong Chi, Xinfeng Zhang, Wei Guo, Fei Wang, Xiangsheng Li:
Automatic Breast Tumor Segmentation System with Breast Localization Module Based on Dynamic Contrast Enhanced Magnetic Resonance Imaging. 63-68 - Yun Zong, Jiahao Shao, Zhao Liu:
Enhanced U-Net Model for High Precision Retinal Vessel Segmentation. 69-73 - Zhouhanyu Shen, Jinghan Ouyang, Yue Cheng, Xiaodong Zhang, Junhai Xu:
Characterising Effective Connectivity Changes in Patients with Hepatic Encephalopathy after Liver Transplantation: A Spectral Dynamic Casual Modeling Study. 74-79 - Bin Zhao, Ting Yang, Zhaowei Xin, Chunshi Wang:
Rib Fracture Segmentation Based on 3D FM-Unet. 80-83 - Jiajia Fan, Tao Liu, Dianfeng Tang, Jixian Zheng, Qiuling Xu:
The Potential Mechanisms of Acupuncture in Cardiac Arrhythmias by Bioinformatics. 84-89 - Yangchen Fu, Bingbing He, Yufeng Zhang, Jingying Zhu, Zhiyao Li, Xun Lang:
Improved Super-harmonic Imaging of Ultrasound Contrast Agents Based on ICEEMDAN. 90-94 - Handan Xiao:
3D-2D Medical Image Registration Technology and Its Application Development: a Survey. 95-100 - Yiyang Xu, Wenliang Gao:
Named Entity Recognition in Electronic Medical Records Based on Bidirectional Long Short-Term Memory-Conditional Random Field. 101-105 - Yulun Wen, Xingzhong Xiong, Wei Zeng, Jun Liu:
Identification and Analysis of Key Genes in Lung Adenocarcinoma using Comprehensive Bioinformatics Methods. 106-113 - Chunwu Wang, Ajay K. Verma, Shubha Majumder, Xin Xiong, Chunling Liu, Bijay Guragain:
Power Spectrum Characteristics of EEG Channels during Awake and REM Sleep Stages for Bruxism Patients. 114-118 - Hanxiao Liu, Peng Li:
Brain tumor segmentation based on homomorphic encryption. 119-124 - Haili Wang, Yixiang Zhang, Junqin Zhang, Yongyao Nian:
Low-Power Bluetooth-Enabled Electrocardiogram (ECG) Devices: Design, Performance, and Applications. 125-129 - Yang Liu, Siyu Li, Ailong Cai, Yongli Li, Xin Qi, Jinjin Hai, Ningning Liang, Jian Chen, Bin Yan:
Vertebral Region Segmentation for CT Images via Semi-supervised Learning. 130-135 - Chenlu Lin:
Research Progress of Deep Learning Based Medical Image Classification Techniques. 136-140 - Ziwen Wei, Ligang Xing, Jinming Yu, Junchao Qian:
Divide-and-Conquer Higher-Precision Thoracic CT Registration Achieved using Varying Degrees of Welsch Sliding Penalty: Thoracic CT Registration Using Varying Sliding Penalty. 141-146 - Zhiwei Tang, You Yang:
A Weak Supervised Learning X-ray Image Lesion Localization Model Based on Significance Map Fusion. 147-154 - Chao Niu, Tingting Wang, Ping Gong:
Design and research of fluorescence microscopic imaging detection device. 155-161 - Penghao Chen, Yongkang Chen, Shaohua Wen:
C-UVNet: A Two-Path Architecture for Dermatoscope Image Segmentation. 162-166 - Fan Peng, Shangqi Cui, Binbin Wang, Dan Wang, Zhe Shi, Lanlin Li, Zhi Yang:
Calibration of Freehand Ultrasound Based on YOLOv8x Keypoints Detection Network. 167-171 - Xin Qiao, Xueling Long, Yongqi Li, Taihui Liu, Xiaohong Hu:
Accurate liver tumors segmentation using semantic localization and centroid region growth. 172-176 - Rui Shi, Ying Li, Chunmei Ma, Jialin Chen, Shuaikun Fan, Xiping Yan, Yanzhao Sun:
Study of CT image denoising for image crossover feature confrontation. 177-183 - Xin Yang, Zichen Yang, Qianer Xu, Wenguang He:
A Review of The Applications of Deep Learning In the Treatment of Glioma. 184-189 - Changpeng Ji, Feiyang Liu, Wei Dai:
Research and Signal Processing of ECG Signals Based on CEEMDAN-RLS. 190-196 - Panlu You, Wanting Jing, Xiaolian Gao, Dapeng Cheng:
Research on Chest Medical Image Modality Transfer Using GANs. 197-202 - Yue Ma:
A Physical Field Simulation Study on the Combination of Deep Brain Stimulation and Transcranial Magnetic Stimulation. 203-208 - Shixin Li, Yong Shao:
ECG Biometric Identification Using Phase Transform and Wavelet Scattering Network. 209-212 - Xiaoxue Xiang, Changfang Chen, Ruixia Liu, Zhaoyang Liu:
ECG signal denoising based on multi-scale residual dense U-Net. 213-219 - Chenjun Wu, Wei Zhang, Qi Dai:
ReconSAGE: A Graph Neural Network for Single Cell Annotation Based on Autoencoder. 220-224 - Chenghao Xing, Hao Long:
EEG Differences in Hand and Elbow Performance during Motor Imagination. 225-231 - Aoran Shen, Ruxin Chen, Yueze Zhu, Ruohan Hu:
Segmentation of Multi-Organ Functional Tissue Units Using UNet-EfficientNet-B8. 232-235 - Zhihao Yang, Gefei Jia, Shibo Wang, Yutao Wang, Guoyan Bai, Siyu Tian, Shangli Tang:
Research on Segmentation Algorithm for Vertebral CT Images Based on Spatial Configuration-Net and U-Net Deep Learning Model. 236-241 - Jiandi Wang:
Processing and Analysis of GCaMP Fluorescence Data for Calcium Imaging. 242-247 - Yisong Wang, Wei Wang, Xianglong Wang, Zhuo Chen:
On One-Pixel Attacking Medical Images against Deep Learning Models. 248-257 - Ming Liu, Lili Huang, Bo Jiang, Chuanfu Li, Jin Tang:
Chest X-ray Image Quality Control via Transformer and Label Correlation Regularization Loss. 258-264
Chapter 2- Intelligent Data Classification and Disease Detection Model
- Panxiang Liu, Guohua Liu:
A Two-Stage Coronary Artery Stenosis Detection Method. 265-269 - Yuwei Cai, Xia Gong, Qiang He, Xindong Fan, Ping Xiong:
Venous Malformation Discrimination by Phleboliths Detection with Deep Learning. 270-274 - Jintao Yu, Wenhui Lu, Kaiyu Jiang, Tingwei Liang:
Epilepsy Detection of Generalized Tonic-Clonic Seizures based on Wrist Signals. 275-280 - Yichun Qu:
Time-series Correlation Analysis of BOLD fMRI Statistics. 281-287 - Hao Wang:
Predicting Outcomes of Hepatitis using AutoML and XGBoost. 288-293 - Yining Guan, Chia-Jung Tsai, Shuyuan Zhang:
Research on Diabetes Prediction Model of Pima Indian Females. 294-303 - Yingzhen Wang:
Research on Predictive Algorithms for Cardiovascular Disease. 304-314 - Yufei Qiao, Junhao Ping, Jiao Wang, Ge Xu, Maohong Xu:
Noninvasive evaluation platform for portal hypertension-convolutional neural network deep learning algorithm for diagnosing portal hypertension. 315-319 - Zhi Ji:
Stroke Prediction based on Integrated Models of Biological Risk Factors. 320-330 - Xiaodong Yang, Yuwei Li, Yanchen Cai, Bingbing Yu, Xiangyong Kong, Ping Wang:
COV-TabNet: Investigating the Influence of Underlying Disease on COVID-19 Patients. 331-337 - Chenjie Chang, Guifeng Zhao, Xiaoyi Lv:
SDPP: A tumor disease diagnosis application based on vibration spectroscopy and machine learning. 338-345 - Shihan Zhang:
Study on Machine Learning based Heart Disease Prediction Model. 346-352 - Bocheng Yang, Jingjing Zhang, Ruosong Li, Ruixiang Sun, Chen Zhou, Bo Zhang, Wennan Wang:
A Deep Learning-Based Diagnostic Model for Skin Pigmentary Diseases in an IoT Smart Healthcare Environment. 353-358 - Yunchuan Wang, Baohua Yin, Qiang Zhu:
Application of Machine Learning Algorithms in Predicting Hepatitis C. 359-365 - Chunni Ren, Shuting Yu, Guimei Cui:
Assistive Classification Modeling of Laryngeal Squamous Cell Carcinoma based on data expansion and SSA-SVM. 366-370 - Zhenjia Huang:
Deep Learning-Based Classification of Diabetic Retinopathy. 371-375 - Mingxia Gao, Hao Li, Furong Chen:
An Entity Prediction Method for Chinese Medical Knowledge Graph via Bert Sentence Embedding and Classification. 376-381 - Yifei Sun, Tinghao Jiang:
An Epileptic Seizure Detection Method Based on TCN-LSTM. 382-385 - Xin Li, Zhiping Wang, Hongjie Wang:
Screening dilated cardiomyopathy core genes for pan-cancer analysis by machine learning. 386-392 - Yuchen Yue, Xunbing Shen:
Machine Learning Application in the Field of Identification and Diagnosis of Autism Spectrum Disorder Based on Visualization Analysis. 393-398 - Cong Zhao, Huajie Sui, Yafen Wu, Yan Liu:
The current state and prospects of artificial intelligence in the detection of bipolar affective disorder. 399-403 - Yilin Han, Xinpeng Zhang, Fan Shi:
RADNet: Residual Attention-based Dynamic Weight Network for Microaneurysm Detection in Fundus Images: Fundus microaneurysm detection based on residual attention fusion module and dynamic weight loss. 404-409 - Chaoran Sun:
A four-class classification of ocular diseases based on multi-model comparative training. 410-416 - Zhaomin Yao, Wenxin Mao, Zhiguo Wang, Guoxu Zhang:
FC-Ensemble: An Ensemble Data Enhancement Method to Increase the Performance of Analysis the Staging of Alzheimer's Disease Based on Brain MRI. 417-423 - Lei He, Zhongliang Kan, Tianhao Sun:
PDSNN: Siamese Neural Network Applied to The Prediction of The Extent of Diabetic Retinopathy: The prediction of the extent of diabetic retinopathy. 424-429 - Wenpei Chen, Qiwei Liu, Xuyan Gao, Yingbao Geng, Hongxing Kan:
Comparison and analysis of accuracy of various machine learning algorithms in the classification of patients with Parkinson45s disease. 430-435 - Yanchen Cai, Yuwei Li, Xiaodong Yang, Xiangyong Kong:
Integrated Learning Based Risk Prediction Study for Hypertensive Diseases. 436-442 - Yizhou Su, Guohua Zhao, Yusong Lin:
A hybrid multi-objective genetic algorithm for gene selection in microarray data. 443-449 - Furong Cai, Ye Wang, Yingguang Hao, Hongyu Wang, Tianlu Wang, Zheng Wang:
Prognostic Survival Prediction Model of Non-small Cell Lung Cancer Based on Multimodal Feature Fusion. 450-455 - Mingyang Li, Hongyu Liu, Yixuan Li, Zejun Wang, Yuan Yuan, Honglin Dai:
Intelligent Diagnosis of Alzheimer45s Disease Based on Machine Learning. 456-462 - Jinpeng Yang, Zhixiong Jiao, Zhenrun Zhan, Xu Tang, Tingting Zhao:
Screening of ischemic heart failure-related genes based on biosignature analysis. 463-472 - Xianchang Kang, Enbo Yu, Kai Chen, Wei Sang, Xingyu Lai, Peihua Lin, Pei Sun:
A Novel Active-Learning Based Emotion-Vision-Transformer Network for Expression Recognition. 473-480 - Qihang Wang, Hao Yang, Jun Zhang, Tianyun Jiang, Peng Tian, Kang Yu, Zhiwei Dai, Shuang Wu, Junhong Gao, Xiaochun Yu, Haiying Zhang, Yunfeng Wang:
Research on Acupuncture Technique Recognition Technology Based on Deep Learning Algorithms. 481-487 - Jianyun Gao, Rongwu Xiang, Zongbo Jiang, Lin Ran, Shu Li:
Combining ResNet and RBF Networks to Enhance the Robustness of Diabetic Retinopathy Detection Against FGSM Attacks. 488-495 - Lan Wei, Ye Li, Jianying Guo, Xiang Li, Shujiang Mei, Yongsheng Wu, Guotong Xie, Tiejian Feng:
Predicting the trend and outbreak of influenza A using machine learning algorithms in Shenzhen, China. 496-499 - Qi Gong, Jun-Sa Zhu, Yun Jiao:
Classification of ADHD based on fMRI data with Graph Convolutional Networks. 500-504 - Xinyi Zhang, Xin Xiao, Mingda Huo, Xiaolong Bai:
Histopathologic Cancer Detection with Hybrid Deep Learning model. 505-508 - Ying Cui, Tianfeng Zhou, Lu Liu, Shanlin Chen:
Automated Quantification of Deformities in Congenital Radio-Ulnar SynostosisAutomated Method for quantifying CRUS. 509-516 - Juan Wang:
Integrated model fuzzy inference for disease prediction based on machine learning. 517-522 - Yichen Zhang:
Construction and study of breast cancer prediction model based on machine learning. 523-530 - Kexin Dou:
Diagnosis of Liver Patients using Machine Learning Classification Algorithms. 531-536 - Qing Wan, Maorong Hu, Yue Wang:
The current state and prospects of artificial intelligence in depression detection. 537-540 - Chenfei Sun:
Multiple Type Entity Embedding based Hospital Admission Prediction. 541-546 - Ouziyu Zhou:
Research On Outpatient Volume Forecast of Prophet-LSTM Combination Model. 547-551
Chapter 3- Intelligent Nursing and Mental Health Management
- Shuzhen Li:
Research on Home Wireless Telemedical Monitoring System for the Elderly Based on Internet of Things Technology. 552-557 - Yali Chen, Ruiyan Zhu, Wei Xiong:
Investigating the Efficacy of Virtual Reality Forest Meditation as an Intervention for Test Anxiety among College Students. 558-562 - Jiaqi Wang, Chunyan Wang, Ruixiang Wang:
Text Mining Research of Ancient Medical Records of Dysmenorrhea Based on Syndrome Prediction Modeling. 563-567 - Bingshen Wang, Shihua Cao, Wenhao Qi, Xiaohong Zhu, Danni He, Yanfei Chen:
A Scientometric Review of Robotics in Elderly Care: Hotspots and Emerging Trends Analysis (2003-2023). 568-573 - Sainan Zhang, Siwen Wang:
Digital treatment: Base on the mobile interface for memory improvement of elderly. 574-577 - Chenyu Mu, Zexuan Yan, Yidi Zhu:
Prediction of Maternal Health Risk based on Physiological Indicators. 578-584 - Xiaojie Wei, Huangyemin Zhang, Shirui Wen, Guangpu Zhu, Kailing Huang, Bingliang Hu, Quan Wang, Li Feng:
Study of the Sine-SSA-BP Model in Classification of Cognitive Impairment by Eye Movement Features for Patients with Epilepsy. 585-590 - Yiyang Li:
Individualized Discrimination Model for Breast Cancer. 591-597 - Xinlei Wang, Jirong Wang, Jiangtao Qin, Sian Lin:
Design and kinematic trajectory planning and simulation analysis of a passive ankle rehabilitation robot based on a 3-PRPS parallel mechanism. 598-604 - Ai Chen, Aiqing Che:
Hemodynamic simulation of artery blood vessel plaque typing and the effect of bifurcation angle on plaque. 605-613 - Xiwei Xiao, Yan Xiao, Menchita F. Dumlao:
Evaluation of Gamification on Surgical Nursing Course using Immersive Virtual Reality: A comparative study. 614-620 - Xin Hong, Maorong Hu:
Application of machine learning in bipolar disorder. 621-625 - Yashuang Li, Lin Yang, Dongmei Hao, Guangfei Li:
Inferior temporal cortical connectivities during loss processing contribute to sleep deficits and perceived stress. 626-630 - Yiwen Yuan, Yafen Wu, Huajie Sui, Rubin Deng:
Research on the application of Artificial Intelligence in Bipolar Disorder. 631-636 - Shifan Zhao, Mingkai Chen:
Psychological Healing in the Digital Age: A Study of Personalized Collaborative Models Empowered by GAI. 637-641 - Fan Sun, Wei Chen, Shibo Fu, Nianbo Liu:
TNM Staging for Adrenocortical Carcinoma using SimCLR: A Deep Learning Approach: SimCLR-Based TNM Staging for Adrenocortical CarcinomaA Comprehensive Deep Learning Approach for Adrenocortical Carcinoma TNM Staging. 642-646 - Hao Cheng:
Dynamic fMRI specific complexity classification of MRI-negative temporal lobe epilepsy combined with machine learning: Specific classification of epilepsySpecific complexity classification of MRI-negative temporal lobe epilepsy. 647-653 - Dandan Wang, Xuejing Xu:
Research on the influencing factors of researchers' willingness to reuse big data in health. 654-658 - Jie Gao, Yinghui Du:
Optimal Control of Multi-Time Lag COVID-19 Model. 659-663 - Chunfang Zhou, Qingyue Gong, Jinyang Zhu, Huidan Luan:
Research and Application of Large Language Models in HealthcareCurrent Development of Large Language Models in the Healthcare FieldA Framework for Applying Large Language Models and the Opportunities and Challenges of Large Language Models in Healthcare: A Framework for Applying Large Language Models and the Opportunities and Challenges of Large Language Models in Healthcare. 664-670 - Zixin Zhang, Junjie Yuan, Zhonghai Zhang:
Modeling and Stress Analysis of Human Lumbar Spine. 671-675 - Aman Wang, Ruijie Zhu:
Unpaired Bone Marrow Smears Virtual Staining Using Content and Attention-Guided Generative Adversarial Networks: UBMSVStain Using Content and Attention-Guided Generative Adversarial Networks. 676-681