Image Analysis section @DIKU @UCPH

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

[Image Analysis section @DIKU @UCPH @ImageUCPH]

👉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:
https://t.co/xgI8daoQeu And if you want to know more reach out to Jens Petersen!

[Eike Petersen @eikepetersen1]

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

[melanieganzbenjaminsen @melanieganzben1]

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

[DK Frie Forsk.fond @DFF_raad]

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:
https://t.co/XKK4ahHOtE

[Pioneer Centre for AI @AiCentreDK]

📢 Reminder to submit your session proposals for the D3A Conference!
Find out more about the conference and the submission here: https://t.co/xv3JmjwUAe

#D3A24

https://t.co/wrMoMA50M6

[Image Analysis section @DIKU @UCPH @ImageUCPH]

The project will be in collaboration between Jens Petersen from @ImageUCPH @DIKU_Institut and @IvanVogelius @Rigshospitalet 🏥💻

[Image Analysis section @DIKU @UCPH @ImageUCPH]

👉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: https://t.co/OJRsRc0gLc

[melanieganzbenjaminsen @melanieganzben1]

🎙️👏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: https://t.co/4cfhiamdyX

[Image Analysis section @DIKU @UCPH @ImageUCPH]

You can read more about the grant and the NNF announcement here: https://t.co/crUBnaYbgS

[Image Analysis section @DIKU @UCPH @ImageUCPH]

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

[melanieganzbenjaminsen @melanieganzben1]

🚨 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: https://t.co/4cfhiamdyX

[Raghav{endra}| ರಾಘವೇಂದ್ರ @raghavian]

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] https://t.co/Xf8I8aw92B
[2] https://t.co/sazSQdkMFD

[melanieganzbenjaminsen @melanieganzben1]

Like I tweeted before, I also joined mastodon. I'm on https://t.co/MWuqZ8yVXm
Please connect to me there!

[DIKU - Department of Computer Science, UCPH @DIKU_Institut]

In the new research project #Stroke supported by @Innofond , DIKU, @cerebriu , @OUHhospital and @HerlevGentofte will deliver the world’s first solution to significantly improve #MRI-based stroke treatment and clinical workflow efficiency. ⚡️🧠 @ImageUCPH
https://t.co/xCez9jMTuQ

[Raghav{endra}| ರಾಘವೇಂದ್ರ @raghavian]

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.

[DIKU - Department of Computer Science, UCPH @DIKU_Institut]

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

[Image Analysis section @DIKU @UCPH @ImageUCPH]

Work by @ImageUCPH at @DIKU_Institut being presented at #MICCAI2022 on the topic of training data set representation and model performance.

[Eike Petersen @eikepetersen1]

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.

[Kenny Erleben @KErleben]

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 https://t.co/f2d1VMexuF @H2020Rainbow @ImageUCPH

[Torkan Gholamalizadeh, Ph.D. @torkan_gh]

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 [https://t.co/nRe5CSBLrT]
DOI:https://t.co/stSJ4s9wLV
@H2020Rainbow @MSCActions @ImageUCPH @KErleben @3Shape

[RAINBOW @H2020Rainbow]

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": https://t.co/JVX5chiWvT