BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Mimer AI Factory - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Mimer AI Factory
X-ORIGINAL-URL:https://mimer-ai.eu
X-WR-CALDESC:Events for Mimer AI Factory
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20260527T100000
DTEND;TZID=Europe/Stockholm:20260527T113000
DTSTAMP:20260502T140147
CREATED:20260316T103842Z
LAST-MODIFIED:20260316T120826Z
UID:4073-1779876000-1779881400@mimer-ai.eu
SUMMARY:Advanced image analysis and AI/ML for medical imaging
DESCRIPTION:About the webinar\nThis webinar will present Artificial Intelligence for CT medical imaging\, focusing on automated methods for large-scale body composition analysis. The presentation will introduce deep learning techniques for image segmentation\, image registration and deep regression methodes of CT images\, enabling detailed assessment of tissues such as muscle\, adipose tissue\, and organs. \nParticipants will gain insights how AI can be used to automatically analyze CT scans for body composition\, enabling research in metabolic diseases and population studies\, and explore challenges and future directions in applying AI to large-scale body composition analysis. \nWho is the webinar for?\n\n\nResearchers working in medical imaging\, AI\, or data science \n\n\nPhD students and academics interested in AI for healthcare \n\n\nData scientists and machine learning engineers working with medical data \n\n\nClinicians and radiologists interested in AI-assisted image analysis \n\n\nKey takeaways for participants:\n\n\nHow AI and deep learning enable automated analysis of CT medical images \n\n\nMethods for large-scale body composition analysis \n\n\nHow medical imaging data can be used to study metabolic and health-related conditions \n\n\nChallenges and future directions in AI-driven medical imaging research \n\n\nSpeaker bio:\nNouman Ahmad holds a Ph.D. in Medical Science (Data Science) from Uppsala University\, Sweden. His research focuses on developing artificial intelligence methods for medical image segmentation\, registration\, and quantitative analysis of CT imaging data. His work centers on analyzing large-scale medical imaging datasets to better understand body composition and metabolic diseases. \nMore events and learning\nVisit our events and learning page to find more training possibilities.
URL:https://mimer-ai.eu/event/advanced-image-analysis-and-ai-ml-for-medical-imaging/
ATTACH;FMTTYPE=image/jpeg:https://mimer-ai.eu/wp-content/uploads/2026/03/One-personno-person.jpg
END:VEVENT
END:VCALENDAR