qMRLab

Quantitative Magnetic Resonance Imaging Made Easy with qMRLab: a Software for Data Simulation, Analysis and Visualization

[qMRLab @qmrlab]

NEW: interactive blog post on B1 mapping using the Actual Flip angle Imaging (AFI) technique, by @juan_velrey and powered by our @qMRLab software. https://t.co/ik4Y5GFpkH

[Julien Cohen-Adad @jcohenadad]

Having trouble segmenting the spinal cord on T1w? T2w? MP2RAGE? EPI? PSIR? STIR? FLAIR? Check out this work by @SandBedard @naga_karthik7 and colleagues on the new contrast-agnostic segmentation model (available on @SpinalToolbox) 🚀

[MRSHub @ISMRM_MRSHub]

🚨 Registration is now open for the MRS x MRathon 2025! 🚨

Join us at the University of Hawai’i Manoa on May 8-9 for a unique hackathon bringing together MRI & MRS researchers, developers, and enthusiasts! 🌟

[Nikola Stikov @Stikov]

Kicking off another sabbatical at @NYUAbuDhabi

Reach out if you would like to visit during the first half of 2025, exciting @NeuroLibre and @qmrlab developments in the works!

[Julien Cohen-Adad @jcohenadad]

Want to know more about B0 Shimming at ultra-high field 🧲? Alexandre D'Astous and I will present latest developments on advanced shimming methods using @ShimmingToolbox 🚀

[Nikola Stikov @Stikov]

Thrilled to host the @NeuroLibre day in Montreal!

We have a stellar list of speakers, register now (it's free) and join us on September 27!

[Julien Cohen-Adad @jcohenadad]

Interested in 7T imaging of the spinal cord? Check out this article by Daniel Papp and collaborators at @neuropoly @TheNeuro_MNI. We compared various RF shimming methods using @ShimmingToolbox. Reproducible preprint available in @NeuroLibre 🚀

https://t.co/06jENYJRAi

[Nikola Stikov @Stikov]

Hello Seattle!

Excited to present @qmrlab and @NeuroLibre to the @neurohackademy students later this afternoon

Thank you @arokem and Noah Benson for the invitation and the warm welcome!

[Agah Karakuzu @agahkarakuzu]

𝑵𝒐𝒘 𝒐𝒖𝒕 𝒊𝒏 𝑴𝑹𝑴! Repeat it ✨without ✨me: Crowdsourcing the T1 mapping common ground via the @ISMRM reproducibility challenge. Here’s a quick summary of what we learned by looking at these 95 datasets submitted for the 2020 challenge 🧵1️⃣
https://t.co/RXA7DBlBAd

[Nikola Stikov @Stikov]

Bright and early, @jcohenadad gives a sobering (up) presentation on open-source lab management #ismrm24 #ismrm2024

[Agah Karakuzu @agahkarakuzu]

@jcohenadad in his amazing talk on lab management addresses one of the most common fears (if you put it on GitHub someone will publish it on an IF 9999 journal): YOU are the master of your own code/data. #ISMRM2024 #ismrm2024

[Mathieu Boudreau @_mattboud]

If you missed it, here's a recorded version up on YouTube! https://t.co/p4A5kkQFee #ISMRM #ISMRM24 #ISMRM24

[Nikola Stikov @Stikov]

Why should you use open source?

@jcohenadad gives 5 reasons

1. You gain useful skills
2. Your research is transparent and reproducible
3. Your work is reusable by others
4. You get feedback that improves your research
5. You give back to the taxpayers who funded you

#ISMRM24

[Agah Karakuzu @agahkarakuzu]

Taxi from the closing: 12$ We got all 3 floors for the @mrm_highlights after party!! #ismrm2024 #ISMRM2024

[Agah Karakuzu @agahkarakuzu]

After moving #ismrm2024 presentation format a few decades ahead, @_mattboud takes over the stage to talk about @NeuroLibre reproducible publications for moving papers to the 21st century #ISMRM2024

[MRM Highlights @mrm_highlights]

New promo just dropped!

The #MRathon Highlights after-party will make your head spin

Join us Thursday after the #ismrm2024 closing ceremony at the Blu Jaz to celebrate 40 years of MRM

#ismrm24

[Nikola Stikov @Stikov]

Our most successful @qmrlab branding campaign yet!

[Mathieu Boudreau @_mattboud]

🎃👶 Move over, proprietary costumes! This Halloween, my newborn is rocking the 'Open Source Chic' look. The code is open, and the candy is free! 🍬👨‍💻@qMRLab (Thanks @agahkarakuzu @BlosteinNadia @TommyBoshkovski @Stikov @jcohenadad for the baby care package sent this summer 🥰)

[Nikola Stikov @Stikov]

A student in my @PolyBioTech class created this outstanding video about a recent paper by @jerryptang and @alex_ander on brain decoding with fMRI

[Julien Cohen-Adad @jcohenadad]

What's the problem with most medical image segmentation methods? (i) They produce binary outputs and (ii) They are sensitive to MRI contrast. Solution? Check out this new study from Sandrine Bédard @naga_karthik7 with @DrKenWeber @ThINk_Basel et al.
👉 https://t.co/EWJh42RXEr

[Nikola Stikov @Stikov]

Returning from the @ai_unique retreat with a poster award for @agahkarakuzu and @NeuroLibre

Thank you @karimjerbineuro et al. for the organization and the wonderful welcome in Tremblant