Â¥Ö÷

CFP: Brain and Health Informatics 2013 (BHI'13)[Ô­´´] [Apologies if you receive this more than once] ####################################################################            Brain and Health Informatics 2013 (BHI'13)                      CALL FOR PAPERS #################################################################### 2013 International Conference on Brain and Health Informatics 2013 (BHI'13) October 29-31, 2013, Maebashi, Japan Homepage: http://wi-consortium.org/conferences/amtbi13/ Co-organized by Web Intelligence Consortium (WIC)                 IEEE-CIS Task Force on Brain Informatics (IEEE TF-BI) Co-sponsored by Maebashi Institute of Technology                 Maebashi City and Gunma Prefecture Government                 Springer Lecture Notes in Computer Science ################################################################## # Full Paper Submission Due: *** 15 April 2013 *** # Accepted full papers will be published by Springer as # a volume of the series of LNCS/LNAI. # Extensions of selected papers from the proceedings will be # considered for publication in special issues of journals ################################################################## Special BHI-AMT 2013 Joint Keynote: Yuichiro Anzai President, Japan Society for the Promotion of Science Keynote Speakers: Shinsuke Shimojo, California Institute of Technology, USA Marcel A. Just, Carnegie Mellon University, USA (pending) Jiming Liu, Hong Kong Baptist University, HK SAR Yuzuru Tanaka, Hokkaido University, Japan Carl K. Chang, Iowa State University, USA Andrzej Skowron, Warsaw University, Poland Brain and Health Informatics (BHI) aims to develop and disseminate understandings of novel intelligent computing formalisms, techniques, and technologies in the special application contexts of brain and health/well-being related studies and services. It is devoted to interdisciplinary studies on BHI, covering computational, logical, cognitive, neuro-physiological, biological, physical, ecological, and social perspectives of BHI. BHI¡Ç13 aims to provide a leading international, interdisciplinary forum to bring together researchers and practitioners that explore the interplay between studies of human brain and health/well-being related issues and advents of computer science and information technologies. For instance, emerging advanced information technologies, such as Internet/Web of things (IOT/WOT), the wisdom Web of things (W2T), cloud computing, may be applied to brain studies. Informatics-enabled brain studies, e.g., based on functional magnetic resonance imaging (fMRI), electroencephalogram (EEG), positron emission tomography (PET), and eye-tracking, can significantly broaden the spectrum of theories and models of brain sciences, which will in turn offer new insights into the development of intelligent computing systems and informatics. BHI will feature high-quality, original research papers in all theoretical, technological, clinical, and interdisciplinary studies that make up the field of brain/health informatics. The systematic BHI methodology has resulted in the BHI big data, including various raw brain data, data-related information, extracted data features, found domain knowledge related to human intelligence, and so forth. A brain data centre needs to be constructed on the W2T and cloud computing platform for effectively utilizing the ¡Èdata wealth¡É as services, which provides big opportunities for both fundamental and clinical researches with respect to cognitive science, neuroscience, and mental health. The most challenging problem is to curate BHI big data, which can be characterized by four parameters: volume, variety, velocity, and value, in order to support data sharing and reuse among different BHI experimental and computational studies for generating and testing hypotheses about human and computational intelligence. BHI¡Ç13 will be jointly held with the International Conference on Active Media Technology (AMT'13). +++++++++++++++++++ Topics of Interest +++++++++++++++++++ CONFERENCE TOPICS AND AREAS INCLUDE, BUT NOT LIMITED TO A. Brain Informatics (BI) A.1 Thinking and perception-centric investigations of HIPS: * Adaptation and self-organization * Brain dynamics and functional/resting/structural brain networks * Cognitive architectures; their relations to fMRI/EEG/MEG * Emotion, heuristic search, information granularity, and   autonomy related issues in human reasoning and problem solving * HIPS meets complex systems * Human higher cognitive functions and their relationships * Human learning mechanisms (e.g., stability, personalized user/student models) * Human multi-perception mechanisms and visual, auditory,   and tactile information processing * Human reasoning mechanisms (e.g., principles of human deductive/inductive   reasoning, common-sense reasoning, decision making, and problem solving) * Investigating spatiotemporal characteristics and flow in HIPS and   the related neural structures and neurobiological process * Methodologies for systematic design of cognitive experiments * Modeling brain information processing mechanisms (e.g., neuro-mechanism,   mathematical, cognitive and computational models of HIPS) * Neural Basis of Decision-Making * Neural Foundations of Intelligent Behavior A.2 Information technologies for the management and use of brain data: * Cyber-individuals meets brain informatics * Data brain modeling and formal conceptual models of human brain data * Databasing the brain, curating big data and constructing brain data centers * Developing brain data grids and brain research support portals * Human brain data collection, pre-processing, management, and analysis * Information technologies for simulating brain data * Knowledge representation and discovery in neuroimaging * Measuring scale threshold of BI big data * Modeling brain information-processing mechanisms * Modeling molecular imaging and multimodal neuroimaging * Multi-aspect analysis in fMRI/EEG/MEG activations * Multi-media brain data mining and reasoning * Multimodal information fusion for brain image interpretation * Simulating spatiotemporal characteristics and flow in HIPS * Statistical analysis and pattern recognition in neuroimaging A.3 Applications * Brain/Cognition inspired artificial systems * Brain-Computer-Interface (BCI) * Clinical diagnosis and pathology of human brain and mind-related diseases   (e.g. mild cognitive impairment (MCI), Alzheimer disease (AD), depression,    epilepsy, parkinson and cerebral palsy) * Digit, data, and computational Brain * e-Science, e-Health and e-Medicine * Eye-tracking meets fMRI/EEG for human-computer interaction * Neuroeconomics, neuromarketing, neurolinguistics, neurosemantics,   and neuroinstrumentation * New cognitive and computational models for intelligent systems   Non-verbal communication B. Health Informatics (HI) B.1 Information technologies for healthcare delivery and management * Consumer health and wellness informatics applications * Health informatics education * Healthcare delivery in developing countries * Healthcare workflow management * Information technologies for alternative medicine * Information technologies for healthcare service delivery * Information technologies for hospital management * Information technologies for the management of patient safety and   clinical outcomes * Medical compliance automation for patients and institutions * Organizational impacts of health information technologies * Public health informatics * Social networks, social media and e-learning for spreading health   informatics awareness * Social studies of health information technologies * Technology informatics guiding educational reform * Telecare and Telemedicine * Virtual conferencing systems for healthcare B.2 Healthcare decision support * Biomedical modeling and simulation * Business intelligence and data warehousing for healthcare * Cognitive and decision support systems * Computational intelligence methodologies for healthcare * Computational support for patient-centered and evidence-based care * Computer support for surgical intervention * Computer-aided diagnosis * Disease diagnostic models * Disease prognostic models * Epidemiological modeling * Health risk evaluation and modeling * Healthcare knowledge abstraction, classification, and summarization * Healthcare knowledge computerization, execution, inference, management,   and representation * Medical recommender systems * Operations research methods for healthcare * Optimization models for planning and recommending therapies * Personalized predictive modeling for clinical management   (e.g., cancer, trauma, diabetes mellitus, sleep disorders, substance abuse) * Physiological modeling B.3 Data analytics, data mining, and machine learning * Analytics for clinical care * Biomarker discovery and biomedical model development * Biomedical data mining * Biomedical pattern recognition * Cleaning, pre-processing, and ensuring quality and integrity of medical data * Data analytics for healthcare quality assurance * Healthcare workflow mining * Large-scale longitudinal mining of medical records * Medical insurance fraud detection * Medical signal analysis and processing * Natural language processing and text mining for biomedical literature,   clinical notes, and health consumer texts * Semantic Web, linked data, ontology, and healthcare * Statistics and quality of medical data * Survival analysis and health hazard evaluations * Visual analytics for healthcare +++++++++++++++++++++++++++++++++++ On-Line Submissions and Publication ++++++++++++++++++++++++++++++++++++ There are 2 types of Paper Submissions and Publication, which you can choose one of them: Type I of Submissions and Publication: Full Paper Submissions: -------------------------------------------------------------- High-quality papers in all BHI related areas are solicited. Papers exploring new directions will receive a careful and supportive review. All submitted papers will be reviewed on the basis of technical quality, relevance, significance, and clarity. All accpted papers will be published by Springer as a volume of the series of Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence (LNCS/LNAI).  Extensions of selected papers from the proceedings will be considered for publication in special issues of international journals. Authors are strongly encouraged to use Springer LNCS/LNAI manuscript submission guidelines (available at http://www.springer.de/comp/lncs/authors.html) for their initial submissions (a maximum of 12 pages in Springer LNCS/LNAI style file). All papers must be submitted electronically in PDF format only, using the conference management tool. Type II of Submissions and Publication: Abstract Submissions: ------------------------------------------------------------- Accepted abstract submissions will be included in the conference program.  Selected abstract submissions will be considered for publication in special issues of international journals after their abstracts are extended to a full-length paper and pass a peer review process. We will also have poster, demonstration, and late breaking result paper sessions. Detailed instructions and a paper submission form can be found from the BHI'13 Web page at http://wi-consortium.org/conferences/amtbi13/ +++++++ Awards +++++++ BHI 2013 best paper awards and student paper awards will be conferred on the authors at the conference. ++++++++++++++++ Important Dates ++++++++++++++++ Electronic submission of full papers (12 pages in Springer LNAI/LNCS style file): *** 15 April 2013 *** Notification of full paper acceptance: June 30, 2013 Camera-ready of accepted papers: July 21, 2013 Electronic submission of abstracts *** 15 July 2013 *** Notification of abstract acceptance: July 30, 2013 Conference:  October 29-31, 2013 ++++++++++++++++++++++++ Conference Organization ++++++++++++++++++++++++ BHI-AMT'13 Honorary General Chair: Setsuo Ohsuga, University of Tokyo, Japan BHI'13 Conference General Chairs: Tomoaki Shirao, Gunma University Graduate School of Medicine, Japan Takuji Kasamatsu, The Smith Kettlewell Eye Research Institute, USA BHI'13 Program Chairs: Kazuyuki Imamura, Maebashi Institute of Technology, Japan Shiro Usui, Toyohashi University of Technology, Japan BHI'13 Workshop/Special Session Chair: Lars Schwabe, University of Rostock, Germany BHI-AMT'13 Organizing Chairs: Kazuyuki Imamura, Maebashi Institute of Technology, Japan Tetsumi Harakawa, Maebashi Institute of Technology, Japan Ning Zhong, Maebashi Institute of Technology, Japan BHI-AMT'13 Panel Chair: Stephen S. Yau, Arizona State University, USA BHI-AMT'13 Journal Special Issue Chairs: Xin Yao, University of Birmingham, UK Runhe Huang, Hosei University, Japan BHI-AMT'13 Publicity Chairs: Shinichi Motomura, Maebashi Institute of Technology, Japan Dominik Slezak, Infobright Inc., Canada & Univ. of Warsaw, Poland Jian Yang, Beijing University of Technology, China AMT'13 Conference General Chairs: Andrzej Skowron, Warsaw University, Poland Jian-Nong Cao, Hong Kong Polytechnic University, SAR China AMT'13 Program Chairs: Tetsuya Yoshida, Hokkaido University, Japan Gang Kou, University of Electronic Science and Technology of China, China AMT'13 Workshop/Special Session Chair: Hakim Hacid, Alcatel-Lucent Bell lab, France IEEE-CIS-TFBI Chair Ning Zhong, Maebashi Institute of Technology, Japan WIC Co-Chairs/Directors Ning Zhong, Maebashi Institute of Technology, Japan Jiming Liu, Hong Kong Baptist University, HK WIC Advisory Board Edward A. Feigenbaum, Stanford University, USA Setsuo Ohsuga, University of Tokyo, Japan Benjamin Wah, Chinese University of Hong Kong, HK Philip Yu, University of Illinois, Chicago, USA L.A. Zadeh, University of California, Berkeley, USA WIC Technical Committee Jeffrey Bradshaw, UWF/Institute for Human and Machine Cognition, USA Nick Cercone, York University, Canada Dieter Fensel, University of Innsbruck, Austria Georg Gottlob, Oxford University, UK Lakhmi Jain, University of South Australia, Australia Jianhua Ma, Hosei University, Japan Jianchang Mao, Yahoo! Inc., USA Pierre Morizet, Mahoudeaux Compiegne University of Technology, France Hiroshi Motoda, Osaka University, Japan Toyoaki Nishida, Kyoto University, Japan Andrzej Skowron, Warsaw University, Poland Jinglong Wu, Okayama University, Japan Xindong Wu, University of Vermont, USA Yiyu Yao, University of Regina, Canada *** Contact Information *** Kazuyuki Imamura (Maebashi Institute of Technology, Japan) <imamurak@maebashi-it.ac.jp>    Êղؠ  ·ÖÏí   ¶¥(0)

	µÚ2Â¥

×Ô¼º¶¥Ò»´Î£¡