Ruben Dörfel
@rdoerfel.bsky.social
730 followers 910 following 70 posts
Interested in aging, neuroimaging, and machine learning. PhD student at Karolinska Institutet, NRU Rigshospitalet, and DIKU UCPH
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Reposted by Ruben Dörfel
euripsconf.bsky.social
Registration opened just 1 week ago and we already have 390+ registrations from more than 25 countries and presenting 85+ papers! We are very excited to see the community support the #EurIPS initiative and look forward to meeting you all in Copenhagen 🙌
Reposted by Ruben Dörfel
euripsconf.bsky.social
Congratulations to everyone who got their @neuripsconf.bsky.social papers accepted 🎉🎉🎉

At #EurIPS we are looking forward to welcoming presentations of all accepted NeurIPS papers, including a new “Salon des Refusés” track for papers which were rejected due to space constraints!
rdoerfel.bsky.social
Exactly! EurIPS just announced that they will accept submission of those rejected papers.
rdoerfel.bsky.social
I think the point is that papers got rejected because of venue constraints, while at the same time, alternative venues are endorsed this year.
Reposted by Ruben Dörfel
euripsconf.bsky.social
In short, world-class research from NeurIPS accessible in Europe.

EurIPS takes place over 3 days + 2 workshop days, at the same time as NeurIPS in San Diego.

Follow this account for more updates, and see you in wonderful Copenhagen 📅

eurips.cc
EurIPS Copenhagen 2025 - A NeurIPS-endorsed conference in Europe
A NeurIPS-endorsed conference in Europe held in Copenhagen, Denmark
eurips.cc
rdoerfel.bsky.social
We might be able to save this when we agree that we are dealing with a well-behaved, compact domain. I'd be willing to agree to that!
rdoerfel.bsky.social
Does it, though? It's been a while since I read calculus and analysis, but as far as I remember, the existence of a min does not imply the existence of a max?
rdoerfel.bsky.social
So, fewer time points and longer duration. They also show that this increases power and, with that, decreases the amount of people you need to scan.
rdoerfel.bsky.social
Interesting paper by Vidal-Piñeiro et al. doi.org/10.1162/imag....

They show that "Increasing the follow-up time was associated with a substantial increase in longitudinal reliability, while the impact of increasing the number of observations was comparatively minor."
Reliability of structural brain change in cognitively healthy adult samples
Abstract. In neuroimaging research, tracking individuals over time is key to understanding the interplay between brain changes and genetic, environmental, or cognitive factors across the lifespan. Yet...
doi.org
rdoerfel.bsky.social
As a junior researcher at a university that covers OA APCs in most conventional and top-tier journals, I have little incentive to not publish there. Morally, I would, of course, like to publish with non-profit orgs etc., but unfortunately, this is more expensive for me than publishing in Nature.
Reposted by Ruben Dörfel
euripsconf.bsky.social
EurIPS includes a call for both Workshops and Affinity Workshops!
We look forward to making #EurIPS a diverse and inclusive event with you.

The submission deadlines are August 22nd, AoE.

More information at:
eurips.cc/call-for-wor...
eurips.cc/call-for-aff...
Reposted by Ruben Dörfel
rdoerfel.bsky.social
Updated my Python project setup guide - originally created for my students but might be useful for other researchers and data scientists. Covers pyenv, poetry, git, and project structure best practices. Open to suggestions for improvements.

rdoerfel.github.io/blog/2025/En...
Setting up a Scientific Python Project from Scratch | Ruben P. Dörfel
A guide to set up a scientific Python project from scratch, covering version control, virtual environments, and project structure.
rdoerfel.github.io
rdoerfel.bsky.social
Updated my Python project setup guide - originally created for my students but might be useful for other researchers and data scientists. Covers pyenv, poetry, git, and project structure best practices. Open to suggestions for improvements.

rdoerfel.github.io/blog/2025/En...
Setting up a Scientific Python Project from Scratch | Ruben P. Dörfel
A guide to set up a scientific Python project from scratch, covering version control, virtual environments, and project structure.
rdoerfel.github.io
rdoerfel.bsky.social
Similar setup here. Also looking for suggestions. Especially on something like report generation
rdoerfel.bsky.social
Lol. Nothing more American than that.
rdoerfel.bsky.social
Such a danish thing to do!
Reposted by Ruben Dörfel
maxkorbmacher.bsky.social
New article out at Human Brain Mapping showing that brain age ≠ brain ageing (estimating brain age on all available features).

This is not the only article showcasing this. Brain age is still useful, but be careful about the longitudinal claims.

doi.org/10.1002/hbm....
Reposted by Ruben Dörfel
fomochallenge.bsky.social
FOMO25 accepted at #MICCAI2025! 🚀

Excited to announce the first challenge at MICCAI focusing on the development of self-supervised pretraining of foundation models for brain MRI! 🧠

With access to a large-scale dataset, codebase, cash prices and multiple tracks.

Read more ⬇️
rdoerfel.bsky.social
It happened to me earlier last year. We had to double-check with the editor that we understood correctly.
rdoerfel.bsky.social
And of course, thanks a lot to all the great people involved: Brice Ozenne, @melanieganzben1.bsky.social , @jaralaus.bsky.social, and @pontusps.bsky.social (7/7)
rdoerfel.bsky.social
This is still a work in progress, so I'd be happy to discuss our methods and results! Also, any feedback on the overview figure is welcome. (6/7)
rdoerfel.bsky.social
Rather than relying solely on cross-sectional predictions, future studies could focus on longitudinal modeling to better capture aging-related changes. (5/7)
rdoerfel.bsky.social
We found that baseline brain age performs similarly to grey matter volume in terms of diagnostic and prognostic performance and does not strongly correlate with clinical outcomes such as memory decline or gray matter atrophy. (4/7)
rdoerfel.bsky.social
We evaluated six publicly available brain age prediction models using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) to assess their ability to differentiate clinical groups, predict disease progression, and track memory decline and gray matter atrophy. (3/7)