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X-ORIGINAL-URL:https://www.danishbioimaging.dk
X-WR-CALDESC:Events for Danish BioImaging Network
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DTSTART;VALUE=DATE:20210610
DTEND;VALUE=DATE:20210611
DTSTAMP:20260716T085300
CREATED:20210607T085838Z
LAST-MODIFIED:20210608T061346Z
UID:3826-1623283200-1623369599@www.danishbioimaging.dk
SUMMARY:Phd defense 10/6/2021\, 16.00: Geometric Models and Stochastic Geometry of Subcellular Structures\, Hans Stephensen
DESCRIPTION:PhD defense\, June 10\, 2021 at 16.00\nGeometric Models and Stochastic Geometry of Subcellular Structures \nHans Stephensen \nThesis: https://di.ku.dk/english/research/phd/phd-theses/2021/Hans_Jacob_Teglbj_rg_Sephensen_Thesis.pdf \nDefense Zoom-link: https://ucph-ku.zoom.us/j/68201315971 \nSummary: The analysis of the geometry of objects is a fundamental property with important interpretations in most fields of natural science. As the fields of bioimaging\, biology and pathology evolve\, so should the computational and statistical methods which we use for the correction of imaging artifacts and for measuring the stochastic variations in the shape of geometric objects of interest.\nIn this Ph.D. thesis\, we present novel methods either using or measuring the geometry of objects with several applications in biology and pathology.\nFirstly\, we present a novel correction method for restoring drifted FIB-SEM volumes of neuronal data by using the vesicle\, a small spherical object\, as a stochastic model for translational correction of an image stack.\nSecondly\, we present measures and statistics to assess if and how the shape of an object might be dependent on the shape and spatial distance to some reference object. We derive edge correction terms and assess the inverse problem by deriving the equivalence class under the measure in a simplified example.\nThird and finally\, we present a measure and statistic for point patterns which has migrated from some common source point\, but where the knowledge of the point locations is sparse\, limited to parallel planes. By assuming a uniform distribution of points across spherical shells from the source point\, we estimate the dense point statistic using the available information. \nAcademic supervisor: Professor\, Jon Sporring\, Department of Computer Science\, University of Copenhagen (UCPH) \nAssessment Committee: \n\nLektor\, François Lauze\, Department of Computer Science\, UCPH\nProfessor\, Natasa Sladoje\, Uppsala University\, Department of Information Technology\nProfessor\, Kaleem Siddiqi\, McGill University\, School of Computer Science\n\nTentative Program: \n\n16.00-16.45 Presentation by Hans Stephensen\n16.45-17.00 Break\n17.00-17.30 Discussion between the Committee and Hans Stephensen\n\n
URL:https://www.danishbioimaging.dk/event/phd-defense-10-6-2021-13-00-geometric-models-and-stochastic-geometry-of-subcellular-structures-han-stephensen/
LOCATION:Submit event
CATEGORIES:Seminars
ORGANIZER;CN="Department%20of%20Computer%20Science%2C%20University%20of%20Copenhagen":MAILTO:sporring@di.ku.dk
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