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SUMMARY:AI in Medical Imaging Research Seminar – Nikita Sushentsev – &
 quot\;Time-series Radiomics: top or flop? - A new framework for longitudin
 al medical image analysis&quot\; - Nikita Sushentsev\,  Gates Scholar and 
 PhD student at the Department of Radiology\, University of Cambridge
DTSTART:20221025T090000Z
DTEND:20221025T100000Z
UID:TALK184127@talks.cam.ac.uk
CONTACT:Ines Machado
DESCRIPTION:You are invited to attend the second seminar of a series to be
  held monthly (please see details below). The aim of which is to exchange 
 information and ideas on *AI applied to imaging*. \n\nThe *Cancer Research
  UK Cambridge Centre* and the *Department of Radiology at Addenbrooke's* a
 re pleased to announce the launch of a seminar series to support campus-wi
 de efforts to engage with the fast-developing field of Artificial Intellig
 ence (AI) applied to medical imaging. The seminars will take place on a re
 gular basis (monthly) with the aim to exchange information and ideas on AI
  applied to imaging.\n\nThe second event will take place on the *25th of O
 ctober at 10am* in the *Berridge room on L5 at the Department of Radiology
 \, Addenbrooke's hospital*.\n\nWe are delighted to introduce our second sp
 eaker *Nikita Sushentsev*. Nikita is a Gates Scholar and PhD student at th
 e Department of Radiology\, University of Cambridge. His research\, superv
 ised by Prof Tristan Barrett and Prof Ferdia Gallagher\, is primarily focu
 sed on *prostate cancer metabolic imaging using hyperpolarised 13C-MRI*. H
 is parallel interest\, however\, concerns the development of MRI-derived r
 adiomic models for improving the prediction of prostate cancer progression
  on active surveillance. Working in close collaboration with machine learn
 ing experts Prof Leonardo Rundo (University of Salerno) and Dr Oleg Blyuss
  (Queen Mary University of London)\, Nikita has pioneered the use of conve
 ntional radiomics in prostate cancer active surveillance\, showing its pot
 ential for improving the use of MRI in this clinical setting. In this talk
 \, he will present work related to the development of a new framework of t
 ime-series radiomics\, which enables longitudinal assessment of tumour ima
 ging features derived from multiple scans and shows superior performance c
 ompared to traditional methods. \n\nWe hope to host seminars on a monthly 
 basis during term times open to all Biomedical Campus staff\, students and
  affiliates. The seminars are intended for a multidisciplinary audience. P
 resentations last approximately 30 minutes\, after which there is plenty o
 f time for questions and discussions. If you have any questions or are int
 erested in presenting your research work\, please email Dr Dimitri Kessler
  (dak50@cam.ac.uk) or Dr Ines Machado (im549@cam.ac.uk).\n\nThis is a *hyb
 rid event* so you can also join via Zoom:\n\nhttps://zoom.us/j/99050467573
 ?pwd=UE5OdFdTSFdZeUtIcU1DbXpmdlNGZz09\nMeeting ID: 990 5046 7573\nPasscode
 : 617729
LOCATION:Berridge room on L5 at the Department of Radiology\, Addenbrooke'
 s hospital
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