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ICMHI 2024

2024.5.17-19 | Yokohama, Japan

Photos of ICMHI 2024 could be downloaded in the folder

Selected award photos from conference moments


Conference Group Photo

Opening Speech by Prof. Chi-Chang Chang

Opening Awards for Prof. Taka-Aki Sato

Opening Awards for Prof. Tetsuya Sakurai

Opening Awards for Prof. Chien-Lung Chan

Keynote speech given by Prof. Hitoshi Nakagama

Keynote speech given by Prof. Kevin C. Tseng

Invited speech given by Prof. Wen-Wei Chang

Invited speech given by Prof. Ahmet Murat Ozbayoglu

Closing Ceremony and Dinner Banquet

Tutorial seminar presented by Asso. Prof. Yi-Ju Tseng

Best Presentations Group Photo

Special Session Chairs Group Photo

Normal Session Chairs Group Photo

Poster Session Chairs Group Photo

Social Visit in Yokohama, Japan

Student Essay Competition-Undergraduate Session: Medical Imaging and Medical Image Processing
1st place winner
HB1201-- Constructing a Segmentation Model for Patients with Leukoaraiosis Using Deep Learning Algorithms
Li-Ting Lo, Yi-Jou Chang
Yuan Ze University, Taiwan

2nd place winner
HB1202-- Constructing Coronary Artery Vessel Segmentation Based on Deep Learning Models and Image Processing
Kang-Syuan Peng, Ying-Kai Hsu
Yuan Ze University, Taiwan

3rd place winner
HB1204-- Constructing an Automated Method for Interpreting Alzheimer's Disease Based on Deep Learning Models and Image Processing
Chia-Pin Yi, Tzu-Fang Yang
Yuan Ze University, Taiwan

Student Essay Competition-Master Session: Bioinformatics and Algorithms for Disease Prediction
1st place winner
HB1207-- Predicting Pain Intensity in Patients with Knee Joint Pain Using Machine Learning Algorithms
Nai-Yuan Chang, Shun Wen Wang, Jimmy Jin-Tzer Ho
Yuan Ze University, Taiwan

2nd place winner
HB0127-- Discovering new biomarkers of primary liver cancer by establishing an mRNA-miRNA-lncRNA network
Yuan-Hua Hung
Tzu Chi University, Taiwan

3rd place winner
HB0023-- Impact Analysis of Tiered Healthcare Based on Tripartite Evolutionary Game
Ying Zhang
Peking University, Beijing, China

Student Essay Competition-PhD Session: Bioinformatics and Algorithms for Disease Prediction
1st place winner
HB0132-- Deep Feature Extraction Non-Invasive Bladder Cancer Prediction System
Shih-Huan Lin
National Chung Hsing University, Taiwan

Special Session 1: Biomedical Equipments and Medical Image Processing
HB1007-A-- Designing an Innovative Portable Bilateral Upper-Limb Rehabilitation Robot System for Stroke Recovery
Chen-Kai Chiu
National Taipei University of Technology, Taiwan

Special Session 2: Intelligent Applications for Health Informatics
HB1001-- A Highly Scalable Automated Universal Binary Malware Analysis Framework for Healthcare and Medical SaaS
Bo-Han Chang Chien
National Taiwan University of Science and Technology, Taiwan

Special Session 3: Bioinformatics and Intelligent Models for Bioinformation Analysis
HB1019-A-- Multi-omics Clustering for Cancer Subtyping Based on SHAP Values
Tianyi Shi
University of Tsukuba, Japan

Session 1: Artificial Intelligence Models for Disease Diagnosis and Prediction
HB0073-- Ink of Insight: Data Augmentation for Dementia Screening through Handwriting Analysis
Nina Hosseini Kivanani
University of Luxembourg, Luxembourg

Session 2: Machine Learning Models for Biomedical Signa Analysis and Processing
HB0088-A-- Enhancing Object Detection for Valve Regurgitation Diagnosis Using Optimized YOLOv5 and YOLOv7
Shih-Hsin Chen
Tamkang University, Taiwan
HB0093-- Automated LVH Grading: Integration of Deep Learning and Explainable AI for Accurate Diagnosis
Mohammad Mehedy Masud
United Arab Emirates University, Al Ain, UAE

Session 3: Medical Image Processing and Computer-Aided Diagnosis
HB0045-- CLAIRE-ROP: Rapid Partitioning-based Deformable Image Registration on Multi-GPU Accelerator
Vahdaneh Kiani
Heidelberg University (DKFZ), Heidelberg, Germany

Session 4: Clinical Decision Support System and Electronic Medical Record Analysis
HB0086-- BARToM: a Transformer-based approach for multimodal electronic health records transformation
Ruiming Li
Medical Data Mathematical Reasoning Team, RIKEN Information R&D and Strategy Headquarters, RIKEN, Yokohama, Japan

Session 5: Bioinformatics and Computational Biology
HB0043-- Designing a Pharmacokinetic Machine Learning Model for Optimizing Beta-Lactam Antimicrobial Dosing in Critically Ill Patients
Jarne Verhaeghe
Ghent University-imec, Belgium

Session 6: Epidemiological Modeling and Mental Health
HB0064-- Temporal Data Processing: Problems, Realities and Perspectives—A Practical Look
Frank S.C. Tseng
National Kaohsiung University of Science and Technology, Taiwan
HB0039-A-- Managing The Hospice Ward Waiting List Through System Simulation
Lung-Chun Lee
Taichung Veterans General Hospital, Taiwan

Session 7: Digital Healthcare and Mobile Healthcare Applications
HB0015-A-- Digital Front Door for Healthcare Professionals in Hong Kong
W Y. Chan
Hospital Authority, Hong Kong

Session 8: Emergency Medical Services and Applied Statistics in Public Health
HB0022-A-- Patient Room Ecosystem: A Team Approach to Problem Solving
Gretchen Brown and Ann Marie Yap
Stanford Health Care, California, USA

Session 9: Machine Learning Models for Medical Data Processing and Information Epidemiology
HB0046-- Detection of Opioid Users from Reddit Posts via an Attention-based Bidirectional Recurrent Neural Network
Jing Li
Case Western Reserve University, Ohio, USA

Online Special Session: Nursing Care Excellence: optimizing clinical practice through nursing research and education
HB1008-A-- Insomnia and Job Performance Among Shift Nurses in Secondary Care Hospitals, Mongolia
Khulan Dorjtovuu
Ach Medical University, Ulaanbaatar, Mongolia

Poster Sessions:
HB0013-A--Applying Deep Learning with Optimal Sliding Window Processed Heart Rate Variability Data to Construct Chronic Obstructive Pulmonary Disease Predictive Models
National Yunlin University of Science and Technology, Taiwan




Submission Method

Electronic Submission System ( .pdf)

Formatting Instructions (DOC)

Contact Information

Conference Secretary: Ms. Alice Lin

E-mail: icmhi@cbees.org

Contact number: +86-18117801445