It is done! We have created the today largest open model repository of clinical validated human jaw FEM models. Amazing work lead by Torkan Gholamalizadeh, Ph.D. read the paper sciencedirect.com/science/articl… RAINBOW Image Analysis section @DIKU @UCPH

Check out our paper, "A multi-patient analysis of the center of rotation trajectories using finite element models of the human mandible", published in PLOS One. With its [erda.ku.dk/archives/97cd6…] DOI:doi.org/10.1371/journa… RAINBOW Marie Skłodowska-Curie Actions Image Analysis section @DIKU @UCPH Kenny Erleben 3Shape

We are happy to share that our ESR Torkan Gholamalizadeh, Ph.D. performed a multi-patient finite-element analysis on human jaws, and the resulting manuscript was published in PLOS One. Her research data is publically available as "𝗢𝗽𝗲𝗻𝗝𝗮𝘄 𝗗𝗮𝘁𝗮𝘀𝗲𝘁": erda.ku.dk/archives/97cd6…

Hooray for Denmark's Cyberlandsholdet, Top Winner of the 2022 European Cybersecurity Challenge 🥳 Congratulations! #gg #cybersecurity #dkpol #dkmedier

Do tune in to our #MICCAI2022 oral presentation in Session 6 today, followed by the poster session. I will be presenting this work remotely from #Copenhagen.

Work by Image Analysis section @DIKU @UCPH at DIKU - Department of Computer Science, UCPH being presented at #MICCAI2022 on the topic of training data set representation and model performance.

Like I tweeted before, I also joined mastodon. I'm on mastodon.online/@melanieganzbe… Please connect to me there!

In the new research project #Stroke supported by @Innofond , DIKU, Cerebriu - Every patient diagnosed in time. , OUH Odense Svendborg and HerlevGentofte Hosp. will deliver the world’s first solution to significantly improve #MRI-based stroke treatment and clinical workflow efficiency. ⚡️🧠 Image Analysis section @DIKU @UCPH di.ku.dk/english/news/2…

🚨 Are you interested in the Fairness of Artificial Intelligence for Medical Imaging? Don't miss our next #FAIMI workshop at #MICCAI2023! ⏰Papers due: Jul 21, 2023 📅Workshop: Oct 8, 2023 📍Where: Vancouver 🇨🇦 Check out: faimi-workshop.github.io/2023-miccai/

Excited to be nominated for the Københavns Uni 2023 Innovation Award [1] alongside excellent researchers from across disciplines. This is for our work related to #Carbontracker [2]. [1] aarsfest.ku.dk/english/2023/n… [2] github.com/lfwa/carbontra…

🎙️👏We are pleased to announce that 👩‍💻 Judy Gichoya will be the keynote speaker 🔥 at our #FAIMI: Fairness of AI in Medical Imaging workshop at #MICCAI2023! 👉Check out: faimi-workshop.github.io/2023-miccai/

📢 Reminder to submit your session proposals for the D3A Conference! Find out more about the conference and the submission here: d3aconference.dk/submit/ #D3A24 lnkd.in/eV-_A9nj

UDSKYDELSE AF TEMATISKE ANSØGNINGSFRISTER Grundet ustabilitet på fondens ansøgningsportal e-grant udskydes ansøgningsfristerne for: Fri grøn forskning, Styrket klinisk og uafhængig forskning, samt Bedre rammer for psykiatrien. Se ansøgningsfristerne her: dff.dk/aktuelt/nyhede…

What does it take to build medical machine learning models that work equally well for all patients? Or, inversely, why do models often work better for some patient groups than others? This is what we set out to answer in our recent Cell Press Patterns, a Cell Press journal perspective. 1/N

Our Image Analysis section @DIKU @UCPH own's Jon Sporring has co-authored a book on Medical Image Analysis. Check it out! 👀

👉Interested in a PhD in medical imaging? We have a PhD position in the IMAGE section on radiation dose planning using deep learning.👀 Check out the call for applicants here: candidate.hr-manager.net/ApplicationIni… And if you want to know more reach out to Jens Petersen!