iiinova — where your digital self keeps evolving

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Dr. Nadine Gaab @gaablab.bsky.social · 01/10/2026

October is #Dyslexia Awareness Month! This month, we’re dedicated to busting 31 myths about #dyslexia through daily posts designed to educate, advocate, and increase understanding in the community! Follow along on our social platforms! You can also find all myth-busting posts at www.gaablab.com.

Happy Dyslexia Awareness Month from the GaabLab! Dyslexia definition: “Dyslexia is a specific learning disability characterized by difficulties in word reading and/or spelling that involve accuracy, speed, or both and vary depending on the orthography. These difficulties occur along a continuum of severity and persist even with instruction that is effective for the individual’s peers. The causes of dyslexia are complex and involve combinations of genetic, neurobiological, and environmental influences that interact throughout development. Underlying difficulties with phonological and morphological processing are common but not universal, and early oral language weaknesses often foreshadow literacy challenges. Secondary consequences include reading comprehension problems and reduced reading and writing experience that can impede growth in language, knowledge, written expression, and overall academic achievement. Psychological well-being and employment opportunities also may be affected. Although identification and targeted instruction are important at any age, language and literacy support before and during the early years of education is particularly effective.”

How much do you know about dyslexia? Test your dyslexia awareness with daily TRUE or FALSE questions for the month of October!

True or False? You can only see signs of dyslexia after 2-3 years of formal reading instruction?

False! It is a myth that you can only see signs of dyslexia after 2-3 years of formal reading instruction. What we know. Many longitudinal studies show that dyslexia risk can be identified before reading begins., This supports the need for targeted individualized early intervention as early as before teh first day of formal reading instruction. Check out www.gaablab.com

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Jonathan Peelle @jpeelle.bsky.social · 02/09/2026

We are hiring a new director for our brain imaging center at Northeastern University (Boston) in the Institute for Cognitive and Brain Health! Please spread the word. I'm on the search committee happy to speak with anyone who is interested. northeastern.wd1.myworkdayjobs.com/careers/job/...

northeastern.wd1.myworkdayjobs.com

Associate Professor/Professor and Director, Northeastern University Biomedical Imaging Center

About the Opportunity About Northeastern: Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experientia...

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Michael Okun @michaelokun.bsky.social · 16/09/2026

What resonated with me from today’s DBS Think Tank session on neuromodulation of mood and cognition was how quickly we are moving from simply observing these remarkably complex human circuits to recording, understanding and potentially modulating them in the real world.

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PessoaBrain @pessoabrain.bsky.social · 09/09/2026

Paper spearheaded by Paul Taylor and Gang Chen from the AFNI team with lots of others. I had a very minor role here but highly recommend the thinking behind the idea. #neuroskyence

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UCSF Department of Radiology and Biomedical Imaging @ucsfimaging.bsky.social · 21/04/2026

Dr. Salil Soman presents at the upcoming CIDMI Seminar Series. His talk covers susceptibility MR imaging, including SWI, QSM, & OEF MRI, & how these methods detect tissue iron, hemorrhage, & metabolic stress invisible to conventional imaging. radiology.ucsf.edu/events/cidmi...

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Simon Warfield @simonwarfield.bsky.social · 14/01/2026

Enping Lin gave a fantastic presentation about a new approach for frameless dynamic MRI for MSK at the ISMRM Sedona workshop.

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Simon Warfield @simonwarfield.bsky.social · 13/01/2026

Xiaoqing Wang presented a new approach to improve MRI with joint image and coil estimation at ISMRM Sedona.

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Simon Warfield @simonwarfield.bsky.social · 12/01/2026

Great presentation by Fatih Calakli on detection and correction of rapid motion during brain MRI at the ISMRM Sedona workshop.

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Imaging Neuroscience @imagingneurosci.bsky.social · 01/12/2025

New paper in Imaging Neuroscience by Ricky Walsh, Benoit Combès, et al: LesionSCynth: A simple parametric lesion synthesis method to improve spinal cord lesion segmentation in low-data scenarios doi.org/10.1162/IMAG...

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Tugba Akinci D'Antonoli @tugbaakinci.bsky.social · 27/09/2025

🎉 Honored to receive the 2025 Alexander R. Margulis Award for Scientific Excellence with our @Radiology @rsnasky.bsky.social article TotalSegmentator MRI 🎉 @JakobWasserthal University Hospital Basel @unibas.ch

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Deanna Greene @deannajgreene.bsky.social · 28/07/2025

Can we run a child version of the Midnight Scan Club? Not at midnight, of course, but turns out we can! We collected large amounts of resting-state fMRI data from individual kids, and show high reliability with increasing amounts of data and individual variability. Check it out!

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TUM AI in Medicine Lab @tum-aim-lab.bsky.social · 22/05/2025

We are incredibly proud of Prof @danielrueckert.bsky.social for being elected as Fellow of the Royal Society! Well deserved and a testament to your dedication to research 🎉

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Karla Miller @fmrib-karla.bsky.social · 16/05/2025

What an excellent outcome! Congrats also to @oxfordpsychiatry.bsky.social for winning the Commitment to Equality, Diversity and Inclusion Award. Max Taquet also Highly Commended for the Breakthrough Researcher Award, and the BReal programme led by Jacinta O'Shea Research Engagement finalist.

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Antje Hellwich @antjehellwich.bsky.social · 15/04/2025

Fast Abdominal #MRI with Deep Learning Image Reconstruction. Cuts scan time, improves image quality & boosts patient comfort. Covers T2WI, #MRCP & DWI. Read more: marketing.webassets.siemens-healthineers.com/fce0d2bcf600... #MagnetomWorld #DeepResolve #Radiology #FastMRI #AI #MedSky #OncSky

Fast Abdominal MRI with Deep Learning Reconstruction: Practical Experience from Zhongshan Hospital
by Mengsu Zeng, MD; Shengxiang Rao, MD; et al. (Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China)

Abdominal MRI is a key diagnostic modality for evaluating liver, biliary, and pancreatic diseases—its image quality directly impacting diagnostic accuracy.
Deep learning-based image reconstruction (DLR) significantly reduces acquisition time while maintaining or enhancing image quality through optimized image acquisition, reconstruction, and denoising.

In this article the authors share their practical experience in applying Deep Resolve technology to abdominal MRI, covering T2-weighted imaging (T2WI), magnetic resonance cholangiopancreatography (#MRCP), and diffusion-weighted imaging (DWI).

Reduced acquisition times not only increase scanner throughput and reduce operational costs, but also improve patient comfort and minimize motion artifacts.

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Spectracular🧲⚛️ @spectracular.bsky.social · 29/03/2025

We are hiring a Senior Engineering Physicist to work on building an ultra-compact in vivo NMR/MRI device. Please forward to anyone you think may be interested. Salary range included in the posting. Based in Toronto but hybrid. #NMRchat careers.synexmedical.com/jobs/5742819...

careers.synexmedical.com

Senior Engineering Physicist - Synex Medical

The Basics. This is a full-time position. This is a hybrid position. We'll ask that you spend at least one day per week in the office on a regular basis. A few times per year, there will be a w...

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Audrey Luo @audreycluo.bsky.social · 20/03/2025

We think of white matter as the brain's highways—uniform conduits between cortices. But what if we study development along tracts? Turns out the journey matters as much as the cortical destination! We're thrilled to share “Two Axes of White Matter Development” www.biorxiv.org/content/10.1... 1/n

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Imaging Neuroscience @imagingneurosci.bsky.social · 17/03/2025

New paper in Imaging Neuroscience by Fakhereh Movahedian Attar, Nikolaus Weiskopf, et al: Short association fibres form topographic sheets in the human V1–V2 processing stream doi.org/10.1162/imag...

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Jon Tamir @jtsense.bsky.social · 13/03/2025

Thank you for posting this! We hope this will be a helpful resource to computational MRI researchers. Scripts to reproduce all the figures available at github.com/MRsources/Ar... We invite you to contribute other reproducibility points under the Github repo's issues section!

github.com

GitHub - MRsources/Article_MAGMA24_RMRI: Article resources for MRI Recipes for Reproducibility

Article resources for MRI Recipes for Reproducibility - MRsources/Article_MAGMA24_RMRI

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