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NCBO Webinar: Daniel Rubin, June 6 - Capturing and Computer Reasoning with Quantitative and Semantic Information in Radiology Images

From: Trish Whetzel <plwhetzel@gmail.com>
Date: Mon, 4 Jun 2012 10:54:16 -0700
Message-ID: <CAE4f=njUhqL9Oct2Pnaxy0E5MdzfVMUqOi66kf_bPjUD_Sb9vA@mail.gmail.com>
To: HCLS <public-semweb-lifesci@w3.org>
The next NCBO Webinar will be presented by Daniel Rubin from Stanford
University on "Capturing and Computer Reasoning with Quantitative and
Semantic Information in Radiology Images" at 10:00am PT, Wednesday, June
6.  Below is information on how to join the online meeting via WebEx and
accompanying teleconference. For the full schedule of the NCBO Webinar
presentations see: http://www.bioontology.org/webinar-series.


ABSTRACT:
The use of semantic Web technologies to make the myriad of data in
cyberspace accessible to intelligent agents is well established. However, a
crucial type of information on the Web--and especially in life sciences--is
imaging, which is largely being overlooked in current semantic Web
endeavors. We are developing methods and tools to enable the transparent
discovery and use of large distributed collections of medical images within
hospital information systems and ultimately on the Web.  Our approach is to
make the human and machine descriptions of image content machine-accessible
through "semantic annotation" using ontologies, capturing semantic and
quantitative information from images as physicians view them in a manner
that minimally affects their current workflow.  We exploit new standards
for making image contents explicit and publishable on the semantic Web. We
will describe tools and methods we are developing and preliminary results
using them for response assessment in cancer.  While this work is focused
on images in the life sciences, it has broader applicability to all images
on the Web. Our ultimate goal is to enable semantic integration of images
and all the related scientific data pertaining to their content so that
physicians and basic scientists can have the best understanding of the
biological and physiological significance of image content.


SPEAKER BIO:
Daniel L. Rubin, MD, MS is Assistant Professor of Radiology and Medicine
(Biomedical Informatics Research) at Stanford University.  He is a Member
of the Stanford Cancer Center and the Bio-X interdisciplinary research
program. His NIH-funded research program focuses on the intersection of
biomedical informatics and imaging science, developing computational
methods and applications to extract quantitative information and meaning
from clinical, molecular, and imaging data, and to translate these methods
into practice through applications to improve diagnostic accuracy and
clinical effectiveness. He is Principal Investigator of one of the centers
in the National Cancer Institute's recently-established Quantitative
Imaging Network (QIN), Chair of the RadLex Steering Committee of the
Radiological Society of North America (RSNA), and Chair of the Informatics
Committee of the American College of Radiology Imaging Network (ACRIN). Dr.
Rubin has published over 100 scientific publications in biomedical imaging
informatics and radiology.


WEBEX DETAILS:
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To start or join the online meeting
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Go to
https://stanford.webex.com/stanford/j.php?ED=175352027&UID=481527042&PW=NYjM4OTVlZTFj&RT=MiM0

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Audio conference information
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To receive a call back, provide your phone number when you join the
meeting, or call the number below and enter the access code.
Call-in toll number (US/Canada): 1-650-429-3300
Global call-in numbers:
https://stanford.webex.com/stanford/globalcallin.php?serviceType=MC&ED=175352027&tollFree=0

Access code:925 343 903


Trish Whetzel, PhD
Outreach Coordinator
The National Center for Biomedical Ontology
Ph: 650-721-2378
http://www.bioontology.org

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Received on Monday, 4 June 2012 17:54:46 GMT

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