MediComp: The 5th IEEE International Workshop on Medical Computing

Call for Papers
Health and Medical care industries is one of the largest and fastest-growing parts of a country’s economy. The proper collection, management and utilization of medical information play a critical role in detecting health and medical problems, identifying innovative solutions and allocating resources to treat patients, medical computing technologies are widely employed to improve the quality of healthcare services.
There are a number of significant computing technology developments and innovations that are making a big splash on the health and medical care information manipulation. Examples of currently emerging technologies include, 1) Health sensing: There’s been a sharp increase in the quantity and variety of consumer devices, especially mobile devices such as smart phones, and medical sensors that capture some aspect of physiological, cognitive and physical human health including vital signs, medical images, videos, activity data; 2) Big data analytics: With the increasing digitization of health and medical care, a large amount of health and medical data has been accumulated and the size is increasing in an unprecedented rate, discovering the deep knowledge and values from the big medical data is the key to deliver the best evidence-based, patient-centric, and accountable care; 3) Cloud computing: With medical care providers looking at automating processes at lower cost and higher gains, cloud computing provides an ideal platform to achieve high efficient use of computing resources, simplify management, and improve services in a safe and secure manner；4) Artificial intelligent: AI can help people precisely predict or diagnose disease, and provide suitable intervention methods or treatments.

There is no doubt that the adoption of these innovative technologies in health and medical fields creates huge opportunities. Yet lots of challenges still need to be resolved for achieving enhanced  health and medical care services.The aim of the workshop is to investigate how these emerging computing technologies are exploited for creating new ways for health & medical service providers and their patients to readily access and use health information and improving the quality, safety, and efficiency of medical care.

Scope of the Workshop
The workshop will bring together researchers and practitioners to share research results, advances and practical experience related to medical computing areas. The workshop calls for original papers describing the theories, methodologies, and solutions about the innovative application of emerging computing technologies that deals with the collection, storage, retrieval, sharing, and use of medical data and knowledge, as well as the integration of heterogeneous medical services and devices for enhanced medical care services. Topics of interests include, but are not limited to:

• The integration of heterogeneous medical services
• Health sensing technologies and systems and their interoperation
• Health data storage, processing and manipulation
• Data mining/deep knowledge discovery from Health and Medical data
• Big data analysis on health and medical area
• Mobile health(mHealth) service/system and their interoperation
• Intelligent integration of multiple medical service/system
• Privacy and security and on healthcare
• Intelligent healthcare/decision support system
• Medical care resource management in smart medical environments
• Medical related image and video processing
• Cloud computing and process integration for medical care
• Pervasive and ubiquitous computing for medical care delivery
• Semantic/knowledge driven medical information management
• Interoperation of medical services and devices in smart environments
• Disease predication and diagnosis based on AI

MediComp Program Schedule

Monday July 23, 11:30 – 1:00pm
Session 1
Location: Meeting 103
Session Chair: Ji-Jiang Yang, Tsinghua University, China

Emotion Recognition Based on Photoplethysmogram and Electroencephalogram
Zhongkai Tong, Zhen Fang, Xianxiang Chen, Kai Tong, Zhengling He, Xianlong Wang

Gastric Pathology Image Recognition Based on Deep Residual Networks
Bo Liu, Kelu Yao, Mengmeng Huang, Jiahui Zhang, Yong Li, Rong Li

Vessel Recognition of Retinal Fundus Images Based on Fully Convolutional Network
Jianqiang Li, Qidong Hu, Azhar Imran, Li Zhang, Ji-jiang Yang, Qing Wang

Monday July 23, 2:00 – 3:30pm
Session 2
Location: Meeting 103
Session Chair: Ji-Jiang Yang, Tsinghua University, China

A Childhood Disease Database based on Word Segmentation Technology: Research and Practice
Shu Wang, Min Chen, Mingyue Wei, Shishi Ma, Guangjun Yu

Retinal Vessel Segmentation Based on an Improved U-Net
Zhiqiang Qiao, Qinyan Zhang, Ying Cao, Jijiang Yang