Advances in sensor
technology, processing speed, high-speed networking, and the massive digital
storages are being incorporated into todays healthcare practice. Tremendous
amounts of biomedical multimedia data, such as CT images, cardiac ECHO videos
and textual patient records, are captured and recorded in digital format during
the daily clinical practice, medical research, and education. Medical
multimedia analysis and retrieval research, with the goal of knowledge
discovery and intelligent searching from medical data, contributes to address
many critical issues (e.g., quality, cost, and safety of health care, high
throughput of biomedical research) that our health care system and biomedical research
are facing today. Furthermore, advancing the appropriate use of Health
Information Technology (Health IT), which includes the wide application of
medical multimedia analysis and retrieval research, holds great promise for
improving quality of health care, reduce medical errors, provide safer care at
lower cost, and advance biomedical research. At the same time, the unique
characteristics and challenges of medical multimedia data (e.g., large volume,
heterogeneous, and semantic-rich) provide a world-leading opportunity for
bringing together research scientists and practitioners from diverse
disciplines that seek the understanding of the fundamental principles and
design strategies in multimedia systems and leverage those understandings to
build real-world medical multimedia systems.
The
goal of this workshop is to bring together researchers in the area of medical
multimedia analysis and retrieval, and to provide a forum for multidisciplinary
research opportunities, with a focus on the state of the art in successes,
the assessment of the applicability of the obtained results in real-life
applications, as well as the future directions in medical multimedia analysis
and retrieval. Practical issues for the design, implementation, and integration
of medical multimedia analysis and retrieval systems will also be discussed.
Further, to encourage a larger group of image analysis researchers to benefit
from the databases and evaluations created in the context of ImageCLEF,
we will provide access to the medical databases and tasks of ImageCLEF on
request. This could encourage a broader public and assure that results remain
comparable.
Topics of interest include
but are not limited to practical areas that span a variety of aspects of medical
multimedia analysis and retrieval including:
- Analysis and mining in
medical multimedia data (e.g., MRI, CT, X-ray, Ultrasound, Impedance, Biomagnetic,
Bioelectric Imaging, echo videos, time series data)
- Content-based indexing
and retrieval for medical multimedia data
- Medical ontologies in
relationship to multimedia
- Visualization techniques
for medical multimedia data
- Function, and structure
from medical images
- Multiscale modeling for
medical multimedia data, such as the development and the evolution of complex
spatiotemporal patterns, at different scales
- Machine learning of disease
correlations from mining medical multimedia data
- Clinical decision support
systems based on medial multimedia analysis
- Practical applications
of medical multimedia data analysis and retrieval
- Algorithms for medical
image retrieval or classification using the ImageCLEF collection
Paper
Submission and Publication
Papers must be original and not submitted to or accepted by
any other conference or journal. An electronic version (PDF format) of the full
paper should be submitted by the paper submission deadline to the ACM MM workshop paper submission site. All
submissions will be acknowledged. Submitted manuscripts should not exceed six
(6) pages in ACM format, including figures, tables, and references.
The workshop paper format guidelines and other
submission instructions at http://www.acmmm11.org/workshop-paper-formatting-guidelines.html
Each paper will be peer reviewed by at least two experts in
the topical area. All accepted papers will be published in the conference
proceedings and will be indexed by ACM digital library and EI.
Important
Dates
Paper submission deadline: June
19, 2011
Notification of acceptance:
July 30, 2011
Camera-ready: September 5, 2011
Workshop
Organizers
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Workshop
Co-Chairs
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Yu Cao, College of Engineering
and Computer Science, The University of Tennessee at Chattanooga, USA
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Jayashree Kalpathy-Cramer, Department
of Medical Informatics and Clinical Epidemiology (DMICE), Oregon
Health & Science University, USA
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Devrim
Ünay, Electrical and Electronics Engineering Dept. Bahçesehir
University, Istanbul, Turkey
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