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Denoising in Medical Imaging Hackathon

Time Wednesday 1 March, 2023 at 09:00 - 18:00
Place Will be presented soon

Our group at the Department of Radiation Sciences, Faculty of Medicine at Umeå University is looking into problems of medical image de-noising and restoration for improved diagnostic and treatment purposes. The problem at its essence is multidisciplinary in nature requiring the collaboration of researchers working on a wide variety of imaging equipment, algorithms, and applications. This is where you come in!

We are inviting researchers and research students interested in image processing, ML, DL and computer vision, to join our kaggle challenge available here and submit an abstract with your proposed solution for MRI image de-noising in order to join us as an active participant of the Hackathon day. The day will include an opportunity to present your solution, listen to others, and enhance it in teams with other participants.



9:00 - 9:15 Gathering and registration

9:15 - 9:30 Welcoming words

9:30 - 10:30 Hackathon session I - Presentations

10:30-10:45 Coffee break

10:45-12:00 Hackathon session II - Splitting into groups

12:00-13:00 Lunch

13:00-15:00 Hackathon session III

15:00 - 15:45 Guest lecture  

15:45 - 16:00 Coffee break

16:00 - 17:00 Hackathon session IV

17:00 - 18:00 Final group presentations and closing


Registration deadline: Feb 15th Register here!


The details about the event are available here: https://www.kaggle.com/t/a0548b71740348898f27e1d5b8314058


Important dates:
Registration deadline: Feb 15th
Planned notification of acceptance: Feb 22nd
Event date: March 1st

Additional inquiries can be sent to Polina Kurtser polina.kurtser@umu.se and Anders Garpebring anders.garpebring@umu.se 

Event type: Conference
Polina Kurtser
Read about Polina Kurtser
Anders Garpebring
Read about Anders Garpebring