Mathematical Oncology Workshop 15 Dec 2022

We aim to bring together researchers in academia and industry with different backgrounds such as mathematics, oncology, radiotherapy, image processing and machine learning to share knowledge and initiate further interdisciplinary collaborations.

MR scan of tumor in a human brain Location

The workshop will take place at the auditorium K3 in the building Kåkenhus, Bredgatan 33, Campus Norrköping.

Registration

Free registration until 7 Dec 2022. Please fill in this form to register. 

Contact persons

Lukáš Malý, lukas.maly@liu.se

Olof Svensson, olof.svensson@liu.se

Sponsors

LiU Cancer
Department of Science and Technology (LiU)

Organizers

George Baravdish, Vivianne Deniz, Rym Jaroudi, Tomas Johansson, Lukáš Malý, Olof Svensson

Programme Show/Hide content

 08:45-09:00  Welcome and opening 
 09:00-09:45  Peter Larsson (Region Östergötland)
 09:45-10:30  Elin Nyman (LiU)
 10:30-10:45  Coffee break
 10:45-11:30  Rym Jaroudi (LiU)
 11:30-12:15  Anders Eklund (LiU)
 12:15-14:00  Lunch
 14:00-14:45  Iuliana Toma-Dasu (SU & KI)
 14:45-15:30  Fredrik Löfman (RaySearch Laboratories)
 15:30-15:45  Coffee break
 15:45-16:30  Mehdi Astararki (KTH)
 16:30-17:15  Ivan Shabo (KI)
 17:15-17:30  Closing

 

Abstracts

Mehdi Astararki - Machine Learning Methods for Oncological Image Analysis

Anders Eklund - Federated learning and synthetic images for brain tumor segmentation

Rym Jaroudi - Parameter identification and growth simulation in inverse mathematical models for brain tumours

Peter Larsson - An introduction to Radiotherapy; from History to Future, Challenges and Opportunities

Fredrik Löfman - Machine Learning in radiation therapy

Elin Nyman - Mechanistic modeling of cellular signaling networks relevant for cancer

Ivan Shabo - Tumor microenvironment, differentiation, and progression – from basic biology to clinical context

Iuliana Toma-Dasu - Modelling tumour oxygenation and its influence on the treatment outcome - from theory to applications in radiotherapy

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