Medical Image Analysis and Visualization
Organizers
Event Type
Workshop
Machine Learning
Visualization
TimeSunday, November 12th9am -
5:30pm
Location708
DescriptionInterest in quantitative image analysis and
visualization in healthcare, from population-level
academic research studies to patient-specific analysis
has grown precipitously in the recent past. While
applications for these tools to large-scale research
have found significant support from the research
community, opportunities at the clinical level where
most healthcare effort and research is executed have
been extremely limited, while their potential value has
exploded. Interest and awareness of these tools has
never been higher, as physicians and researchers have
recognized how HPC and visualization can complement and
even drive their own work. Mostly recently, the
ever-increasing interest in machine learning, and
particularly deep learning, to volumetric image analysis
has once again begun to challenge both the HPC and
medical communities. Lines of communication between
these intersecting fields, however, have been extremely
limited, stifling engagement and deployment of the most
advanced imaging analysis and technology for healthcare
research and clinical practice. Our workshop will bring
together these disparate communities to engage on
problems and solutions encountered in the practice of
image analysis and visualization in healthcare. Thought
leaders from across the aisle divide will come together
to discuss problems where HPC, imaging analysis, and
visualization can dramatically affect patient care. In
addition, we will invite high-quality publications in
key topic areas in medical image analysis to participate
as invited speakers with full-length presentations.
Lastly, we will hold practical sessions in which
selected problems will be solved interactively with the
audience, with code samples and iPython notebooks
available for distribution to the audience.
