Abstract:
In
this
presentation,
we
will
share
the
exciting
new
opportunities
that
deep
learning
offers
to
advance
medical
imaging
technologies,
including
computed
tomography
(CT)
image
reconstruction,
spectral
CT
imaging
using
energy-integrating
detector-based
CT
scanners,
and
lessons
learned
from
the
development
of
AI
models
in
COVID-19.
Speaker's
Biography:
Guang-Hong
Chen,
Ph.D.,
is
a
Medical
Physics
and
Radiology
professor
at
the
University
of
Wisconsin-Madison.
Dr.
Chen
received
his
BS
degree
in
physics,
Master’s
Degree
in
mathematics,
and
Ph.D.
in
semiconductor
physics.
Prof.
Chen’s
research
interests
in
medical
physics
are
applying
his
knowledge
of
physics
and
mathematics
to
conduct
innovative
research
in
x-ray
and
computed
tomography
(CT)
imaging.
Dr.
Chen
published
over
250
research
articles
and
is
named
an
inventor
of
more
than
60
US
and
international
patents.
Dr.
Chen
is
an
eminent
leader
in
the
medical
imaging
field.
He
has
been
the
Principal
Investigator
(PI)
of
numerous
National
Institutes
of
Health
(NIH)
significant
projects
with
more
than
$30
million
in
research
support.
He
has
partnered
with
major
medical
device
companies
to
acquire
more
than
$10
million
in
research
equipment
and
funding
to
support
his
lab
to
translate
technological
innovations
in
medical
imaging
into
products
for
better
patient
care.
Dr.
Chen
is
Deputy
Editor
of
the
Medical
Physics
journal,
and
he
has
served
as
scientific
program
committee
chair
for
major
national
and
international
conferences,
including
AAPM,
SPIE,
and
RSNA.
Dr.
Chen
is
elected
a
fellow
of
the
American
Association
of
Physicists
in
Medicine
(AAPM),
the
American
Institute
of
Medical
and
Bioengineering
(AIMBE),
and
the
Academy
for
Radiology
and
Biomedical
Imaging.
