We’re hiring! 🧠👶 @drcmr-mri.bsky.social is looking for 1–2 postdocs in early childhood neuroimaging to join the Brain Maturation Research Group (led by @kathrineskakmadsen.bsky.social).

You want to study the developing brain? 🧠 Then come and work on infant 👶 and toddler 🧒 MRI with us! You will have the opportunity to learn how we scan different age groups, learn about MRI acquisitions, and be able to do lots of really cool analysis! #fitng #ismrm #miccai #mri #neuroimaging

🚨 Videos from the FAIMI online workshop and accepted MICCAI 2026 workshop 🎥 The videos from the latest Fairness of AI in Medical Imaging (FAIMI) online workshop are now available on YouTube: www.youtube.com/playlist?lis... @aasaferagen.bsky.social @benglocker.bsky.social @atoandy.bsky.social

🌍 Join the FAIMI 2025 Online Workshop — a free, virtual event on AI fairness in medical imaging. 🗓️ Nov 25 | 14:00–17:00 GMT 🎤 Keynote: Anthony Leo Celi 🧠 Talks from Alceu Bisotto, Mauricio Reyes, Elodie Germani, and more! 🔗 Check out: faimi-workshop.github.io/2025-online/

You still have time to submit your work to the FAIMI Workshop at MICCAI 2025 focused on fairness, bias, and equity in AI for medical imaging. Check out the important dates and details: 👉 faimi-workshop.github.io/2025-miccai-... #FAIMI #MICCAI2025 #MedicalImaging #FairAI #HealthcareAI #AIethics

🚨MICCAI workshop 🚨 Don’t miss the chance to submit your work to the FAIMI Workshop at MICCAI 2025—a key event focused on fairness, bias, and equity in AI for medical imaging. Check out the important dates and submission details here 👉 faimi-workshop.github.io/2025-miccai-...

🚀 Submit Your Work to the FAIMI Workshop at MICCAI 2025! 🚀 We are thrilled to announce the third Fairness of AI in Medical Imaging (FAIMI) workshop, taking place at MICCAI 2025 in the Daejeon Convention Center, South Korea! 🌟

New paper in Imaging Neuroscience by Brice Ozenne, Melanie Ganz, et al: A sensitivity analysis of preprocessing pipelines: Toward a solution for multiverse analyses doi.org/10.1162/imag...

New paper in Imaging Neuroscience by Elodie Germani, Camille Maumet, et al: On the validity of fMRI mega-analyses using data processed with different pipelines doi.org/10.1162/imag...

🙄 I know I am playing an old fiddle here, but I am just going to drop this here: 👉 commission.europa.eu/topics/resea... And again 🇩🇰 is one of the happiest places in the world! Come and visit us in Copenhagen to check this place out! #neuroimaging #machinelearning #healthresearch

🥚 🐰 🌷 Have some time coming up during the Easter holidays? Why not polish your CV and send it my way? The deadline for the Postdoc in Trustworthy AI at Department of Computer Science, University of Copenhagen is not until the 22 April 2025. 👉 So check the call out: jobportal.ku.dk/videnskabeli...

📢 [DEADLINE EXTENDED to 21 April] Call for Papers: Fairness of AI in Medical Imaging (MELBA Journal Special Issue) Full Call for Papers available at: faimi-workshop.github.io/2024-melba/ 📅 Submission deadline EXTENDED until April 21, 2025 (rolling review—early submissions encouraged).

Remember that we received some funding in January? I am finally ready to hire people to work on TRUSTMIND. 😊 So if you are a PhD/PostDoc that's interested in bias and fairness in machine learnign for mental health, check out this position: jobportal.ku.dk/videnskabeli... and join me in Copenhagen!

The NIH is canceling already-funded research on inequality, telling scholars that their studies "are antithetical to the scientific inquiry, do nothing to expand or knowledge of living systems, provide low returns on investment, and ultimately do not advance health, lengthen life, or reduce illness"

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 has again done some really cool work on brain age and taken a closer look if brain age is even a valid concept as clinical biomarker. Turns out... 👇

A correction -- If you publish in an OA journal with CC-BY-NC, you often cede your rights to the publisher. That's right - paying an APC does *not* mean you own your work. The publisher can resell your work to whomever they choose.

Yep, I found 20 papers where I was involved as well.

I have no words.

1. For the past thirty years I've had the best job in the world. 
I've had the opportunity to follow my curiosity; explore the workings of nature and society; mentor students and junior colleagues in the same process; and teach generations of students about it all.

@nichols.bsky.social @cmaumet.bsky.social here is a different take than your paper on multiverse analyses (although, back of the envelope derivation 'Tom's magic' in Korea showed how close some estimators are) - also tagging @russpoldrack.bsky.social @fmri-today.bsky.social @fmristats.bsky.social

A sensitivity analysis of preprocessing pipelines: toward a solution for multiverse analyses with @melanieganzben1.bsky.social et al. Basically, adapting meta-analysis tools accountting for the correlations between pipelines direct.mit.edu/imag/article...

Remember the whole #narps (www.narps.info) splash? We are very interested in how to utilize the multiverse in neuroimaging. Because no matter how we process biological data, if we do something reasonable, the underlying results shouldn't change too much - because biology doesn't change, right?

Excited to announce this new partnership in Nordic AI Research, Education, and Innovation 🇮🇸🇳🇴🇸🇪🇩🇰🇫🇮 (1/3)

Håber på en kommende golden age for nordisk AI 💪🏅

📢 Call for Papers: Fairness of AI in Medical Imaging (MELBA Journal Special Issue) We invite submissions for our special issue on fairness in AI for medical imaging in MELBA, an open-access journal at the intersection of machine learning & biomedical imaging. faimi-workshop.github.io/2024-melba/

As someone who has reported on AI for 7 years and covered China tech as well, I think the biggest lesson to be drawn from DeepSeek is the huge cracks it illustrates with the current dominant paradigm of AI development. A long thread. 1/

“The professors are the enemy” This is correct. We professors are the enemy of fascism because we create and spread knowledge for social good, countering the lies propagated by authoritarian ideologues like Mr. Vance. We will always be the enemy of autocracy.

🚨🚨New SPM version alert! 🚨🚨 Introducing SPM 25.01, plus a more modern, open ethos to its development. Some more information about whats changes can be found here - arxiv.org/abs/2501.12081 Stable release - www.fil.ion.ucl.ac.uk/spm/software/ GitHub developer version - github.com/spm/spm

😆 github.com/CPernet/Quic...

Study sections are the review panels that allocate NIH research grants. They bring in experts from around the country and have to be scheduled many months in advance; they provide the funds that keep the nation's biomedical research going. It's hard to overstate the disruption this causes.

Sure would be a shame if a bunch of PhDs who suddenly have a lot of time on their hands due to no grant writing or reviewing spent all that energy calling and writing their elected officials every single fucking day

This is going to dismantle so much good, important work. 😔 www.nytimes.com/2025/01/22/u...

Downthread too, but the NIA study section I am on Jan 31st "will not meet as planned". Quoting SRO: "At the present time, all Federal advisory committee meetings are cancelled... We will be back in touch with you when we have further information." All study sections appear to be cancelled.

In light of recent developments, if any neuroscience friends want to breath some nice, cold, fresh Scandinavian air, you are more than welcome to check this out and come to Copenhagen: lundbeckfonden.com/apply-grants... Just saying....

1/2 So this week started with some pretty bad news for everyone that believes guardrails in AI development are a good thing when an executive order by former President Biden got repealed. How effective that ever was compared to the European AI act, I cannot tell though. Maybe someone can chime in...

NIH is sponsoring a $1M Data Sharing Index ("S-Index") Challenge to develop a metric for assessing how effectively researchers share useful data. Can use to build more culture of open/team science. Webinar coming up (Tues 1/28/25, 12pm ET): bit.ly/4h8vgrs More info about Challenge: bit.ly/4abRypX

Responsible use of population neuroscience data: Towards standards of accountability and integrity - Biological Psychiatry www.biologicalpsychiatryjournal.com/article/S000...

🎉Today we will celebrate! I’m deeply grateful to @lundbeckfonden for funding our collaborative project, "TRUSTMIND: AI in Mental Health – Ensuring Evaluation, Trustworthiness, Ethical and Legal Considerations"! 🙌 lundbeckfonden.com/news/120-mil...

The ultimate goal of #FAIR is to optimize data reuse. To achieve this, (meta)data should be well-described so they can be replicated &/or combined in different settings. Read more: bit.ly/WhatIsFAIR Learn about the FAIR roadmap project: bit.ly/FAIRRoadmapINCF#FAIR #FAIRdata

I am still hoping to find that t-shirt under the tree on Tuesday 😁

NEW CENTER FOR THE RESPONSIBLE USE OF ARTIFICIAL INTELLIGENCE 🚀 How do we equip authorities and companies for the new digital reality? And how can this be done in a responsible way that reflects our values as a society?

In the last department meeting of the year the new Department of Computer Science, University of Copenhagen (DIKU) strategy was presented and in order for all employees to remember the new strategy easily we all received new coffee mugs ☕😄

☺️ Thank you #ACNP2024, it's been a pleasure to attend the conference and participate in a study group. And anyone interested in data sharing after our session? 👇 Check out the @bidsstandard.bsky.social website: bids-website.readthedocs.io/en/latest/?b... and start to standardize some of your data!

3/6 Check out our new YouTube channel featuring talks from past events, including keynotes by Judy Gichoya, Kanwal Bhatia, Sara Gerke, and Sanmi Koyejo. 🎥 www.youtube.com/channel/UCeq...

And the show is on the road! #ACNP2024 Again want to discuss and learn about data sharing? Come and join us this afternoon in the study group session "Data Sharing is Important, but how Should it be Done and who Will pay for it?" from 3-5 pm in the Grand Sonoran E room.

I am also attending #ACNP 2024 as a first timer! I am participating in a study group session today titled "Data Sharing is Important, but how Should it be Done and who Will pay for it?" with among others the great @russpoldrack.bsky.social. Come and join us this (Sunday) afternoon from 3-5 pm.

I'll be at #ACNP2024, my first ACNP ever. I'll be talking at the Data Sharing study group on Sunday afternoon, with @melanieganzben1.bsky.social among others. Hope to see lots of you there!

Hi- I'm a research scientist at MIT and the ED of childrenhelpingscience.com, and #ACNP2024 will be my first! I'm an interloping cognitive developmentalist coming to talk about data sharing on a panel with @russpoldrack.bsky.social @melanieganzben1.bsky.social & others on Sunday afternoon.

While I am wary of travel, I have packed my 🧳 a final time this year to cross the 🌎 and attend ACNP. 🧠 On Sunday I am speaking in the study group session on "Data Sharing is Important, but how Should it be Done and who Will pay for it?" organized by Prof. Bob Innis and @russpoldrack.bsky.social