We are researchers in image analysis and processing, computer vision and simulation, numerical optimization, machine learning, computational modelling, geometry

Joined September 2021
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👉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/App… And if you want to know more reach out to Jens Petersen!
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Image Analysis section @DIKU @UCPH retweeted
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 @CellPressNews @Patterns_CP perspective. 1/N
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Our @ImageUCPH own's Jon Sporring has co-authored a book on Medical Image Analysis. Check it out! 👀
Excited to see a textbook over 6 years in the making finally out! Co-edited with Jerry Prince and Milan Sonka, and a stellar team of section editors and authors in the @MICCAI-Elsevier Book Series. Check it out! shop.elsevier.com/books/medi…
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Image Analysis section @DIKU @UCPH retweeted
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/nyheder/udsky…

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📢 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

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👉Seeking applicants for a Ph.D. fellowship in self-supervised machine learning methods for large-scale analysis of medical longitudinal images. 👨‍🎓👩‍🎓 Check out the link: candidate.hr-manager.net/App…

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The project will be in collaboration between Jens Petersen from @ImageUCPH @DIKU_Institut and @IvanVogelius @Rigshospitalet 🏥💻
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🎙️👏We are pleased to announce that 👩‍💻 @judywawira will be the keynote speaker 🔥 at our #FAIMI: Fairness of AI in Medical Imaging workshop at #MICCAI2023! 👉Check out: faimi-workshop.github.io/202…
🚨 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/202…
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NNF has awarded a grant of nearly DKK 15 million to @SuneDarkner for upgrading a key model for calculating how the climate affects agriculture and vice versa. The grant is one of four NNF recently awarded for supporting data science research infrastructure. #ClimateAction
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Image Analysis section @DIKU @UCPH retweeted
🚨 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/202…
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Excited to be nominated for the @koebenhavns_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/… [2] github.com/lfwa/carbontracke…
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Like I tweeted before, I also joined mastodon. I'm on mastodon.online/@melanieganz… Please connect to me there!

ALT Friendship Hugs GIF by Mashable

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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.
#Carbonfootprint of #DeepLearning for medical image analysis is something that hasn't gotten much attention. In our latest meta-study, we use #MICCAI as an example. We analyze the impact of image segmentation experiments at MICCAI, as they are popular (~ 30% of all papers)!
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Image Analysis section @DIKU @UCPH retweeted
Hooray for Denmark's @Cyberlandshold, Top Winner of the 2022 European Cybersecurity Challenge 🥳 Congratulations! #gg #cybersecurity #dkpol #dkmedier
Det har været et hektisk og fantastisk halvt døgn. Nu er det danske landshold - og pokalen - på vej mod Danmark. Vi glæder os til at se jer allesammen på AAU i aften. ♥️ #ecsc2022 #cybersikkerhed @Industriensfond @Cybersikkerhed
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Work by @ImageUCPH at @DIKU_Institut being presented at #MICCAI2022 on the topic of training data set representation and model performance.
Is there a general (positive) relationship between the relative representation of a group in the training data and model performance for that group? One of the questions we set out to answer in our #MICCAI2022 paper. TL;DR: No. The relationship is complex and domain-dependent.
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It is done! We have created the today largest open model repository of clinical validated human jaw FEM models. Amazing work lead by @torkan_gh read the paper sciencedirect.com/science/ar… @H2020Rainbow @ImageUCPH

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Image Analysis section @DIKU @UCPH retweeted
Check out our paper, "A multi-patient analysis of the center of rotation trajectories using finite element models of the human mandible", published in @PLOSONE. With its [erda.ku.dk/archives/97cd65fe…] DOI:doi.org/10.1371/journal.pone… @H2020Rainbow @MSCActions @ImageUCPH @KErleben @3Shape
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Image Analysis section @DIKU @UCPH retweeted
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We are happy to share that our ESR @torkan_gh performed a multi-patient finite-element analysis on human jaws, and the resulting manuscript was published in @PLOSONE. Her research data is publically available as "𝗢𝗽𝗲𝗻𝗝𝗮𝘄 𝗗𝗮𝘁𝗮𝘀𝗲𝘁": erda.ku.dk/archives/97cd65fe…

Check out our paper, "A multi-patient analysis of the center of rotation trajectories using finite element models of the human mandible", published in @PLOSONE. With its [erda.ku.dk/archives/97cd65fe…] DOI:doi.org/10.1371/journal.pone… @H2020Rainbow @MSCActions @ImageUCPH @KErleben @3Shape
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