March 21
@
1:30 PM
–
2:30 PM
Orchard View Room – Wisconsin Institute for Discovery
Computational Biomedical Imaging: Restoration Deep Networks as Implicit Priors
Abstract: Many interesting computational imaging problems can be formulated as imaging inverse problems. Since these problems are often ill-posed, one needs to integrate all the available prior knowledge for obtaining high-quality solutions. This talk focuses on the class of methods based on using “image restoration” deep neural network as data-driven implicit priors on images. The roots of the methods discussed in this talk can be traced to the popular plug-and-play (PnP) family of methods for solving inverse problems. The talk will present the theoretical foundations behind using restoration deep networks as implicit priors as well as applications to image generation in limited angle computed tomography, recovery of continuously represented microscopy images, and solving blind inverse problems in magnetic resonance imaging.
Ulugbek Kamilov
Biography: Ulugbek Kamilov is the Director of Computational Imaging Group and an Associate Professor of Electrical & Systems Engineering and Computer Science & Engineering at Washington University in St. Louis. He is currently a Visiting Professor at the Data Science Center at École Normale Supérieure in Paris. He obtained the BSc/MSc degree in Communication Systems in 2011 and the PhD degree in Electrical Engineering in 2015 from EPFL. He was a Visiting Research Faculty at Google Research in 2023-2024 and a Research Scientist at Mitsubishi Electric Research Laboratories in 2015-2017. He was an Exchange Student at Carnegie Mello University in 2008, Visiting Student Researcher at MIT in 2011, and Visiting Scholar at Stanford University in 2013.
He is a recipient of the NSF CAREER Award and the IEEE Signal Processing Society’s 2017 Best Paper Award. He was among 55 early-career researchers in the USA selected as a Fellow for the Scialog initiative on “Advancing Bioimaging” in 2021. His PhD thesis was selected as a finalist for the EPFL Doctorate Award in 2016. He was awarded Outstanding Teaching Award from the Department of Electrical & Systems Engineering at WashU in 2023. He is currently a Senior Member of the Editorial Board of IEEE Signal Processing Magazine and is on IEEE Signal Processing Society’s Bioimaging and Signal Processing Technical Committee. He has previously served as an Associate Editor of IEEE Transactions on Computational Imaging and on IEEE Signal Processing Society’s Computational Imaging Technical Committee.