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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Self-Supervised Learning for Patient Stratification and Survival A
 nalysis in Computational Pathology: An Application to Colorectal Cancer
DTSTART:20231128T170000
DTSTAMP:20260407T020935Z
UID:936dc03fbc25fc4c654f1df4aca8a3195db0327457f23f2a131eebac
CATEGORIES:Thesis defenses
DESCRIPTION:Christian Robert ABBET\nThesis Directors: Prof. J.-Ph. Thiran\
 , Prof. I. Zlobec\nElectrical Engineering doctoral program\nThesis Nr. 10
 296\n\nTo take part in the public defense\, please contact directly the sp
 eaker
LOCATION:ELA 002 https://plan.epfl.ch/?room==ELA%20002
STATUS:CONFIRMED
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END:VCALENDAR