BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
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VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20191112T094354Z
DTSTART:20191210T120000Z
DTEND:20191210T130000Z
SUMMARY:Ozan Öktem - Bayesian inversion for tomography through machine le
arning
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}tju-k0mgsht
0-g0tt2h
DESCRIPTION:Join us for this research seminar\, part of the SQUIDS (Stati
stics\, quantification of uncertainty\, inverse problems and data scienc
e) seminar series.\n\nAbstract: The talk will outline recent approaches
for using (deep) convolutional neural networks to solve a wide range of
inverse problems\, such as tomographic image reconstruction. Emphasis is
on learned iterative schemes that use a neural network architecture for
reconstruction that includes physics based models for how data is gener
ated. The talk will also discuss recent developments in using generative
adversarial networks for uncertainty quantification in inverse problems
.\n\nSpeaker Bio: Dr. Öktem is an Associate Professor in Mathematics at
the Department of Mathematics\, KTH - Royal Institute of Technology\, St
ockholm. He specialises in theory and algorithms for solving severely il
l-posed inverse problems with emphasis on tomographic imaging. Prior to
joining his current affiliation in 2008\, he worked as an applied mathem
atician for more than 13 years in industry. His research combines method
s from mathematical analysis\, differential geometry\, and mathematical
statistics with techniques from machine learning. Focus lately has been
on combining model based approaches with deep neural networks for uncert
ainty quantification and task adapted reconstruction in large scale inve
rse problems. The research is spearheaded by concrete challenges in imag
ing applications from various scientific fields\, like 3D electron and f
luorescence microscopy in bioimaging\, low-dose clinical CT and spatiote
mporal PET/CT\, x-ray phase contrast tomography for bioimaging and mater
ial sciences\, and lately seismic tomography for geophysical prospectin
g and single particle cryo-EM.\n
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Frank Adams 1\, Alan Turing Building\, Manchester
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