BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//labri.fr//NONSGML kigkonsult.se iCalcreator 2.41.92//
CALSCALE:GREGORIAN
METHOD:PUBLISH
UID:8a696011-591c-4a9a-9caa-347a9cfbf3bd
X-WR-CALNAME:PhD thesis of Karim Aderghal
X-WR-TIMEZONE:Europe/Paris
BEGIN:VTIMEZONE
TZID:Europe/Paris
TZUNTIL:20221030T010000Z
BEGIN:STANDARD
TZNAME:CET
DTSTART:20201025T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RDATE:20211031T030000
END:STANDARD
BEGIN:DAYLIGHT
TZNAME:CEST
DTSTART:20200329T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RDATE:20210328T020000
RDATE:20220327T020000
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BEGIN:VEVENT
UID:8a696011-591c-4a9a-9caa-347a9cfbf3bd
DTSTAMP:20260429T113923Z
CLASS:PUBLIC
DESCRIPTION:Karim Aderghal will defend his thesis entitled: 'Classification
  of multimodal MRI images using Deep Learning: Application to the diagnosi
 s of Alzheimer’s disease'\n
DTSTART;TZID=Europe/Paris:20210226T090000
DTEND;TZID=Europe/Paris:20210226T190000
LOCATION:LaBRI (visioconférence ou présentiel suivant la situation sanitair
 e)
ORGANIZER;CN=Jenny Benois-Pineau:mailto:benois-p@labri.fr
SEQUENCE:0
SUMMARY:PhD thesis of Karim Aderghal
TRANSP:OPAQUE
END:VEVENT
END:VCALENDAR
