IMIP is an annually-held conference which aims to provide a communication platform for top technology leaders, scholars, engineers, scientists, leading industry leaders as well as graduate students to share ideas and discuss the latest technology in Intelligent Medicine and Image Processing or related fields. Authors are invited to submit original and not published papers.


Topics of interest for submission include, but are not limited to:

Applications in Electronic Health Records
Biomedical Data Mining
Biomedical Engineering
Business Intelligence
Cloud Computing and Big Data for Healthcare
Collaboration Technologies for Healthcare
Medical Robotics
Mobile Applications for Healthcare
Nursing Information
Patient Safety and Clinical Outcomes
Pattern Recognition
Computer Games for Healthcare
Health Information System
Disease Profiling and Personalized Treatment
E-commerce in Health Informatics
Epidemiological Modeling
Health Informatics Education
Statistics and Quality of Medical Data
Survival Analysis and Health Hazard
Telecare and Telemedicine
Virtual and Augmented Reality for Healthcare
User-Interface Design for Medical Devices and Health Software
Mobile Health and Sensor Applications
Health Risk Evaluation & Modeling
Medical Informatics and Medical Records
Knowledge Bases and Health Data Mining
Data Computational Models and Telemedicine Treatment Effects
Data Mining and Bioinformatics
Medical Cyber Physical Systems
Databases and Integration of Biomedical Data
Medical Image Data Mining and Processing
Bioinformatics and Healthcare Infrastructure
Computer-aided Detection and Diagnosis
Medical Imaging Informatics
Electronic Medical Record Applications
Hospital Management
Information Security Technology
Intelligent Ward
Health Software Architecture, Framework, Design and Engineering
Medical Image Processing
Medical Insurance Fraud Detection
Public Health Informatics
RFID Solutions for Healthcare
Image Processing
Image Segmentation
Image Registration
Image Reconstruction
Image Matching
Feature Extraction
Image Detection and Recognition
Shape Analysis
Hardware (FPGA, DSP, IC) for Image Processing
Machine Learning

Conference Secretary: Ms. Freya Shi

Email:; Tel.: +852-3500-0799 (English)/+86-28-86528465 (Chinese)


Working Time: Monday-Friday 9:30-18:00 (UTC/GMT+08:00)