Bramsh Chandio
@BramshQ
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A skeptical computer scientist trying to dissect and understand the brain in vivo. Assistant Professor @wvustatler | Postdoc @USCLONI | PhD @IULuddy
USA
Joined October 2020
Happy to share that I’ll be starting as a tenure-track Assistant Professor in Biomedical Engineering at @wvustatler this Fall 2025! I'm recruiting PhD students for Spring 2026 — reach out if you're interested in developing methods for brain mapping and medical image analysis. 🧠
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Introducing our paper, FORCE: A forward modeling dMRI framework by @ShahAtharv57469 et al. It simulates signals to find the best match, unifying analysis in a single step. 🧠 More on LinkedIn: https://t.co/8yEIJhoMbE Paper: https://t.co/cwnE02m5x3
#dMRI #NeuroScience #DIPY
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Editorial: Methods & Applications of Diffusion MRI Tractometry highlights 16 articles advancing tractometry across methods, lifespan, and disease (MS, ALS, glioma, small-vessel), TBI, autism, long/short fibers, spinal cord & nonhuman applications, & more. https://t.co/mmflFGZmJV
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Announcing: Diffusion MRI Zero to Hero! A new weekly series walking through the full #dMRI pipeline from acquisition to analytics using DIPY. 🧠💻 First post drops soon. Follow along! #Neuroscience #NeuroImaging #DIPY #DIPYPipeline #DWIPipeline #MedicalImaging
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New preprint! We used bootstrap tractometry on real dMRI data to show how sample size + along-tract resolution affect detecting dementia and amyloid effects of DTI. 💡Coarse segments boost sensitivity 💡Fine segments reveal focal effects Read more 👇 https://t.co/wdo3ZAPJUQ
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🧠 Join us for the next edition of the DIPY Workshop! 🗓 March 16–20, 2026 | 100% Online 5 days of hands-on learning on preprocessing, reconstruction, tractography, advanced analytics, and much more. Registrations now open → https://t.co/WDDBrAgH0m
#DW2026 #Neuroimaging #MRI
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Talairach Lecture - huge thanks to OHBM for putting this (very nervous) lecture online! https://t.co/vz6x9eSXZd OHBM 2025 Keynote Lecture Speaker: Paul Thompson Title: Talairach Lecture: Worldwide Collaboration and Artificial Intelligence in the Global Quest to Map Human Brain
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🎇🔥 Please join this excellent online talk TOMORROW (Tues 830am Pacific Time) by Wendy Feng @wendyfyx on Tuesday (on Zoom, open to everyone - you have to quickly register first) - she will be presenting on novel tractometry methods she has been developing in our lab ! ⤵️⬇️⬇️🔥
If you didn't catch my presentation at @CD_MRI this year, this is your chance to learn about how streamline density can affect multi-site tractometry studies, and how our new method SDNorm can improve reproducibility of microstructure profiles + live demo!
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Grateful to the amazing @dipymri community for the constant support and collaboration over the years. Excited to keep advancing #opensource #diffusionMRI and #tractometry research in my new role at @wvustatler! 💙🧠
Huge congrats to Dr. @BramshQ on her new role as an Assistant Professor at @wvustatler! Her work has been central in expanding DIPY's tractography capabilities and furthering #opensource dMRI research. We wish her all the best in this new chapter! #DIPY #dMRI #Neuroimaging
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Long dMRI workflows slowing you down? In DIPY, you can slash runtimes by simply setting the parallel flag to put multiple cores to work. #dMRI #ParallelProcessing #MedicalImaging #OpenSource #DIPY #NeuroImaging
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My dead roses started to grow new leaves 🍃 I guess there’s always some hope.
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Check out our new preprint on Streamline Density Normalization (SDNorm)! SDNorm can reduce bundle variability, improve reliability of along-tract microstructure, and provide metrics for automated bundle QC. 📎Paper: https://t.co/CHNmxds3cY 📎Code: https://t.co/UfPGf6uuhU
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🔥BEAUTIFUL IN-DEPTH analysis of the BIPOLAR BRAIN [1], led by @Yanghee_Im in Chris Ching's lab, + bipolar disorder experts from 64 worldwide sites 🧠Surface-based toolkit -> Deep mapping of subcortical brain structure (N=3,373 people, 14 sites), w. interactive visualizations 🔥
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🔥🔥2025 Talairach Lecture "Worldwide Collaboration & AI in the Global Quest to Map Human Brain Diseases" 🧠 Massive thanks to all whose work I highlighted, who made this possible 🔥🔥YouTube link + Slides PDF in comments Thanks for letting me show 151 slides in half an hour :)🤯
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🌟 Get ready to catch The Perfect Wave: AI-Powered Advances in Image Segmentation at #ISMRM2025, featuring a presentation by Jong Sung Park @get_user_data ! 🗓️ Date: Monday, May 12, 2025 🕓 Session Time: 4:00 PM (Hawaii Time) 🕒 Presentation Time: 4:36 PM (Hawaii Time) Join
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🌟 Join us at #ISMRM2025 for an exciting oral presentation by Dr. Bramsh Chandio @BramshQ in the session Clinical Neuroimaging in Alzheimer's Disease: Current Trends & Future Directions. 🗓️ Date: Monday, May 12, 2025 🕑 Session Time: 1:45 PM (Hawaii Time) 🕒 Presentation Time:
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🚀 Join us at #ISMRM2025 for an illuminating presentation by Eleftherios Garyfallidis @garyfallidis on mastering optimization for model inference and parameter fitting in medical imaging! 📌 Title: "From the Top Down: Inferring Parameters from Complex Models" 🗓️ Date: May 10,
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Prior dMRI studies in autism have found inconsistent results across tracts—partly due to limitations in conventional analysis methods. We took a different approach: ✅BUAN (along-tract analytics) ✅TDF (advanced microstructure modeling) = sharper, more reliable insights (2/5)
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🚨New preprint!🚨 Excited to share our latest work using cutting-edge diffusion MRI methods to map white matter microstructure alterations in autism with unprecedented spatial precision! Read the paper here 👉 https://t.co/78rnzbXsmM w/ @gaonskim @PTenigma @BramshQ (1/5)
biorxiv.org
Previous diffusion magnetic resonance imaging (dMRI) research has indicated altered white matter microstructure in autism, but the implicated regions are highly inconsistent across studies. Such...
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