Events at The University of Manchester
  • University home
  • Events
  • Home
  • Exhibitions
  • Conferences
  • Lectures and seminars
  • Performances
  • Events for prospective students
  • Sustainability events
  • Family events
  • All Events

Ozan Öktem - Bayesian inversion for tomography through machine learning

Dates:10 December 2019
Times:12:00 - 13:00
What is it:Seminar
Organiser:Department of Mathematics
Who is it for:University staff, External researchers, Current University students
Speaker:Dr Ozan Öktem
See travel and contact information
Add to your calendar

More information

  • Department of Mathematics

Other events

  • In category "Seminar"
  • In group "(Maths) Maths seminar series"
  • In group "(Maths) Statistics, quantification of uncertainty, inverse problems and data science"
  • By Department of Mathematics

Join us for this research seminar, part of the SQUIDS (Statistics, quantification of uncertainty, inverse problems and data science) seminar series.

Abstract: 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 generated. The talk will also discuss recent developments in using generative adversarial networks for uncertainty quantification in inverse problems.

Speaker Bio: Dr. Öktem is an Associate Professor in Mathematics at the Department of Mathematics, KTH - Royal Institute of Technology, Stockholm. He specialises in theory and algorithms for solving severely ill-posed inverse problems with emphasis on tomographic imaging. Prior to joining his current affiliation in 2008, he worked as an applied mathematician for more than 13 years in industry. His research combines methods 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 uncertainty quantification and task adapted reconstruction in large scale inverse problems. The research is spearheaded by concrete challenges in imaging applications from various scientific fields, like 3D electron and fluorescence microscopy in bioimaging, low-dose clinical CT and spatiotemporal PET/CT, x-ray phase contrast tomography for bioimaging and material sciences, and lately seismic tomography for geophysical prospecting and single particle cryo-EM.

Speaker

Dr Ozan Öktem

Organisation: KTH Royal Institute of Technology

  • https://www.kth.se/profile/ozan

Travel and Contact Information

Find event

Frank Adams 1
Alan Turing Building
Manchester

Contact event

Sean Holman

sean.holman@manchester.ac.uk

Contact us

  • +44 (0) 161 306 6000

Find us

The University of Manchester
Oxford Rd
Manchester
M13 9PL
UK

Connect with the University

  • Facebook page for The University of Manchester
  • X (formerly Twitter) page for The University of Manchester
  • YouTube page for The University of Manchester
  • Instagram page for The University of Manchester
  • TikTok page for The University of Manchester
  • LinkedIn page for The University of Manchester

  • Privacy /
  • Copyright notice /
  • Accessibility /
  • Freedom of information /
  • Charitable status /
  • Royal Charter Number: RC000797
  • Close menu
  • Home
    • Featured events
    • Today's events
    • The Whitworth events
    • Manchester Museum events
    • Jodrell Bank Discovery Centre events
    • Martin Harris Centre events
    • The John Rylands Library events
    • Exhibitions
    • Conferences
    • Lectures and seminars
    • Performances
    • Events for prospective students
    • Sustainability events
    • Family events
    • All events