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VERSION:2.0
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BEGIN:VEVENT
SUMMARY:Invited talk: From High Performance Computing to PET medical imagi
 ng -      EuroHPC PL software platform for novel techniques and artificial
       intelligence methods in the context of the total-body J-PET developm
 ent
DTSTART;VALUE=DATE-TIME:20220713T123000Z
DTEND;VALUE=DATE-TIME:20220713T125000Z
DTSTAMP;VALUE=DATE-TIME:20260718T122236Z
UID:indico-contribution-50-690@indico.koza.if.uj.edu.pl
DESCRIPTION:Speakers: Wojciech Krzemień\; National Centre for Nuclear Res
 earch\, Poland ()\nhttps://indico.koza.if.uj.edu.pl/event/7/contributions/
 690/
LOCATION:Collegium Novodvorscianum
URL:https://indico.koza.if.uj.edu.pl/event/7/contributions/690/
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BEGIN:VEVENT
SUMMARY:Key talk: Artificial intelligence in cardiovascular Imaging
DTSTART;VALUE=DATE-TIME:20220713T120500Z
DTEND;VALUE=DATE-TIME:20220713T123000Z
DTSTAMP;VALUE=DATE-TIME:20260718T122236Z
UID:indico-contribution-50-689@indico.koza.if.uj.edu.pl
DESCRIPTION:Speakers: Piotr Slomka\; Cedars-Sinai Medical Center\, USA ()\
 nCardiovascular imaging has been experiencing rapid development recently t
 hanks to refinements in imaging technologies and software for image analys
 is. Recent breakthroughs in data science\, machine learning\, and artifici
 al intelligence (AI) have been applied broadly to pre- and post-processing
  of imaging data.\nNovel computing approaches hold the promise of improved
  image quality\, automated detection and segmentation of abnormal regions\
 , image registration\, and modality-to-modality transformation. There is a
  wealth of imaging information that offers new opportunities – while thi
 s can be automatically extracted from medical images\, new methods are req
 uired for integrating the diverse data such as multimodal images and elect
 ronic health records.\nAI may allow meaningful improvements in diagnostic 
 accuracy and quantitative outcome prediction. Interpretable AI systems can
  explain the primary factors driving the diagnosis or prognosis to both th
 e physician and patient\, dispelling the “black-box” perception of AI.
  I will overview the latest AI developments in cardiovascular imaging\, bo
 th classical machine learning and deep learning focusing on nuclear medici
 ne and CT\, including application in PET imaging. I will also discuss issu
 es related to the validation and deployment of AI systems for medical imag
 ing applications.\n\nhttps://indico.koza.if.uj.edu.pl/event/7/contribution
 s/689/
LOCATION:Collegium Novodvorscianum
URL:https://indico.koza.if.uj.edu.pl/event/7/contributions/689/
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