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Reposted by Ana Matoso

GliMR @glimr-eu.bsky.social · Jul 16

After the long wait, GliMR gets together once again! 🎊

We are organizing a full day of activities for the Pre-Conference day of #ESMRMB25 on October 8th.
🌍 It will take place at Palais du Pharo in Marseille, France, from 9h-17h.

Register now at esmrmb2025.mycongressonline.net

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Reposted by Ana Matoso

Imaging Neuroscience @imagingneurosci.bsky.social · Jun 25

New paper in Imaging Neuroscience by Marta Xavier, Patrícia Figueiredo, et al:

Consistency of resting-state correlations between fMRI networks and EEG band power

doi.org/10.1162/IMAG...

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Reposted by Ana Matoso

Imaging Neuroscience @imagingneurosci.bsky.social · Jul 15

New paper in Imaging Neuroscience by Catarina Domingos, Patrícia Figueiredo et al.:

Cerebrovascular reactivity mapping using breath-hold BOLD-fMRI: Comparison of signal models combined with voxelwise lag optimization

doi.org/10.1162/IMAG...

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Ana Matoso @anamatoso.bsky.social · Jul 9

There, I presented a poster, having won a best poster award. I'm grateful for this recognition of our work, and so I would like to thank the organizing committee for this award.

Ana Matoso @anamatoso.bsky.social · Jul 9

Last week, I attended the 2nd Annual Meeting of the #Net4Brain COST Action in Bucharest. It featured numerous multidisciplinary talks, ranging from liquid biopsies to MRI, all applied to brain cancer. It was a wonderful opportunity to (finally) see colleagues in person and to meet new ones.

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Ana Matoso @anamatoso.bsky.social · May 27

And you can't visit Honolulu without doing 2 things: catching a lot of sunsets, and doing the Diamond Head trail (171m elevation, avg 8.6% incline)- which, with the "warm-up" of doing the Lulumahu Falls trail (avg 20% incline) before, was quite easy and worth it for the view of the city.

Ana Matoso @anamatoso.bsky.social · May 27

Last week, I attended the @ismrm.bsky.social Annual Meeting in beautiful Honolulu, Hawai'i with my colleagues from @isrlisboa.bsky.social. There, I presented a pitch and a poster on my PhD work titled "Prediction of treatment response in a longitudinal glioblastoma dataset using deep learning".

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Reposted by Ana Matoso

ismrmiberian.bsky.social @ismrmiberian.bsky.social · May 15

Deep learning can help with glioblastoma prognosis. Ask your questions to @anamatoso.bsky.social at her power pitch and digital poster "Prediction of treatment response in a longitudinal glioblastoma dataset using deep learning". 13:50, Theater 1, computer 19.

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Reposted by Ana Matoso

GliMR @glimr-eu.bsky.social · May 14

GliMR will be at #ESMRMB25

In addition to joining us in the Precongress Day on October 8, make sure to submit your ESMRMB25 abstract to the GliMR ESMRMB Working Group to present your latest findings at the ESMRMB GliMR Session of ESMRMB25!

Want to know how? See the🧵
Deadline is May 16, 17:00 CEST

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Reposted by Ana Matoso

Institute for Systems and Robotics | Lisboa @isrlisboa.bsky.social · Apr 14

We're happy to share the latest episode of CNN INOVAÇÃO, which showcases our activities at #ISRLisboa. 🦾

Get to know different groups and projects, from the voice of our team, motivated to bring forth the vision of this @istecnico.bsky.social research unit. 🙌
🔗 www.youtube.com/watch?v=MBkl...

CNN Inovação | ISR-Lisboa

YouTube video by ISR Lisboa

www.youtube.com

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Ana Matoso @anamatoso.bsky.social · Apr 14

After almost 1.5 years working on deep learning applied to medical imaging, a colleague of mine told me about this website that lets you create incredible figures of neural networks.
Just comes to show how you never stop learning and how important it is to share your work
alexlenail.me/NN-SVG/

NN SVG

alexlenail.me

Ana Matoso @anamatoso.bsky.social · Mar 10

Mais do que ser bem sucedida na qualidade, consegue reavivar o que havia há +10 anos atrás de só haver 1ep/semana, o que nos faz ansiar e conspirar tudo com todos.
Já revi a série desde o início, e acho que vê-la em binge watching não lhe faria jus, é preciso digerir cada ep, pq tudo ali foi pensado

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Reposted by Ana Matoso

GliMR @glimr-eu.bsky.social · Mar 7

Interested in ASL? Several GliMR members are organizing an amazing workshop!

It will provide theoretical aspects of ASL and practical workshops on data processing and analysis using ExploreASL.

You can find more details here: tinyurl.com/ASLLis. The workshop is free, but registration is required.

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Reposted by Ana Matoso

Francesco Santini - ESMRMB2025 Program Chair @mrifranz.bsky.social · Feb 13

Too many papers are written on AI tools for medical imaging from a computer science perspective and without the clinical application in mind.

European Radiology @europeanradiology.bsky.social · Feb 13

This highlights the importance of stakeholder involvement and the impact of disease prevalence when evaluating AI tool effectiveness.

#EuropeanRadiology #RadSky #MedSky

🔗 https://buff.ly/4aMWy4G

Implementing an AI algorithm in the clinical setting: a case study for the accuracy paradox - European Radiology

Objectives We report our experience implementing an algorithm for the detection of large vessel occlusion (LVO) for suspected stroke in the emergency setting, including its performance, and offer an…

buff.ly

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Ana Matoso @anamatoso.bsky.social · Jan 30

🧵 3/3
And so perhaps it's time we reassess the target metrics of our models so that they are more aligned with the reality of medical practice, where reliability is just as important if not more, than accuracy.

It all comes down to trust.

Ana Matoso @anamatoso.bsky.social · Jan 30

🧵 2/3
It cannot be understated that, especially in a medical context, robustness is crucial for both risk assessment and for the comparison of different solutions.

As such, it should be reported on.
However, we need to be wary, because significance can be easily achieved with big enough data.

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Ana Matoso @anamatoso.bsky.social · Jan 30

Very nice paper on how, in the race for SoTA results, it appears that we have fallen into a peculiar trap: only reporting the peak/average performance thus overlooking the variability of the results.

I hope this paper becomes an eye-opener for those who work in AI in Healthcare.

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Curt Langlotz @curtlanglotz.bsky.social · Jan 30

Love this. Bold face numbers in a table don't cut it:

"For >60% of papers, the 2nd-ranked method was within the CI of the 1st-ranked method. Current publications typically don't provide sufficient evidence to support which models could be translated into clinical practice" arxiv.org/abs/2409.17763

Confidence intervals uncovered: Are we ready for real-world medical imaging AI?

Medical imaging is spearheading the AI transformation of healthcare. Performance reporting is key to determine which methods should be translated into clinical practice. Frequently, broad conclusions ...

arxiv.org

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Ana Matoso @anamatoso.bsky.social · Jan 30

Congratulations Genevieve and team! 👏

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