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SUMMARY:CIBM Breakfast and Science Seminar #23
DTSTART:20220329T090000
DTEND:20220329T103000
DTSTAMP:20260408T110453Z
UID:4ab8070fab4f0b56043d3603904f7b1d3371296252a205b0bbcd0464
CATEGORIES:Conferences - Seminars
DESCRIPTION:Pol del Aguila Pla\, Research Staff Scientist\, CIBM SP EPFL M
 athematical Imaging Section\n\n\n\n\n\n\n\nAlgorithms to solve inverse pro
 blems are at the core of imaging\, where they are known as image reconstru
 ction methods. These methods recover the desired images from the indirect 
 measurements provided by physical measurement devices such as PET\, MRI\, 
 or EEG systems. Medical imaging critically depends on the guarantees these
  methods provide to inform diagnostic and treatment decisions. Of specific
  relevance is how stable they are–how much the recovered image changes w
 hen the measurements change slightly. In this talk\, I will first briefly 
 present a unified understanding of the history of image reconstruction. Th
 en\, I will clearly lay out the stability guarantees provided by different
  modern image reconstruction methods\, focusing on our own work on the sta
 bility of Lp-regularization strategies.\n\n\n\n\n\n\n
LOCATION:CIBM Seminar room https://cibm.ch/event/breakfast-science-seminar
 -23/
STATUS:CONFIRMED
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