While DKI improves upon DTI, it can still struggle with noise and fiber orientations.
This week in #DiffusionMRIZeroToHero, we explore Mean Signal DKI (MS-DKI) to get stable, dispersion-free microstructure maps. 🧠
Read More: linkedin.com/feed/update/urn…
#DIPY #dMRI #MedicalImaging
Beyond excited seeing so many of you registered already. Help us spread the word wherever you are!
March 16-20 | Hands-on medical imaging training All levels welcome
Bring your questions, your data, and your curiosity! 💙
Join us: workshop.dipy.org
eleftherios retweeted
Early bird registration for the DIPY Workshop is ending in two weeks.
🔗 Register: workshop.dipy.org/
📧 Questions: [email protected]
#DIPY #DiffusionMRI #NeuroImaging #DIPYWorkshop2026
Time to move beyond our restricted reconstruction models. Introducing FORCE! A one-does-all solution for dMRI. Years of hard work to get here!
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: linkedin.com/posts/dipy_dipy…
Paper: researchsquare.com/article/r…
#dMRI #NeuroScience #DIPY
The fully automated solutions that you have wished and asked for are finally here! We will showcase those for first time ever at the DW 2026! Diffusion MRI is on its way to become a processing breeze! 🍃🫶🚀
🧠 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 → workshop.dipy.org
#DW2026 #Neuroimaging #MRI
Really enjoyed @MarcoPalombo3's talk at #DW25! 🚀
The DIPY Workshop 2025 keynote speaker, @MarcoPalombo3 (@cardiffuni , @CUBRICcardiff, @CardiffVisComp) explains how diffusion MRI + machine learning and advanced computational models is making cellular-level brain imaging a reality.
✨ Digital twins of neural tissue
✨ SANDI model for cell mapping
✨ Applications in cancer, epilepsy & more
Watch the full talk: lnkd.in/dRFzRPVf
#Neuroimaging #DiffusionMRI #AI #ML
eleftherios retweeted
Big congrats to @RafaelNetoHenr1 on becoming an Assistant Professor at Institute of Biophysics and Biomedical Engineering, Department of Physics, Faculty of Science, University of Lisbon 🎓🙌
A longtime #DIPY contributor pushing diffusion MRI + open science forward. Woot woot! 🚀🎉
eleftherios retweeted
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. 🧠
eleftherios retweeted
Presenting at #ISTBordeux2025! Maharshi Gor will showcase our latest work, a new tool for fast and accurate multimodal visualization of brain connectivity. Join his sessions on Oct 15th -
Power Pitch: 11:30 AM
Poster Session: 2:00 PM
#Tractography #Neuroscience
eleftherios retweeted
A heartfelt thank you to everyone who made #DIPYWorkshop2025 so meaningful. To the speakers and attendees—your insights, curiosity, and energy made it truly inspiring. Grateful to be part of such a passionate, collaborative community. Until next time! 🧠📊✨ #DIPY #DiffusionMRI #AI #MachineLearning #medicalimaging #MRI #Medicine #LLM #DeepLearning #Science #Neuroscience
Make sure to try DAM, a DWI-based tissue classification method. Have in mind that it needs multi-shell data! Implements this paper doi.org/10.1016/j.mri.2020.0…
Tissue segmentation just got easier! DIPY 1.10 introduces Directional Average Maps (DAM) – a novel approach to extracting tissue properties directly from DWI with no extra modeling. Fast, intuitive, and insightful! 🔬⚡ #DIPY #Neuroimaging #mri
Super excited about the newly developed APIs that allow DIPY to track at higher speeds than ever before🚀🚀🚀!!! Join the workshop to learn the details !! Bring forward your largest datasets !!! ⚽️🏀🏐🏈⚾️
🚀 DIPY v1.11.0 – Tractography at Ultra Speed! ⚡
DIPY v1.11.0 is bringing Ultra Fast Tracking – up to 100x faster! 🔥
Supercharge your tractography workflows with unmatched speed & precision!
🌟 Speakers Gabriel Girard (@GabrielPGirard) & John Kruper (@360_0_0) will introduce the Ultra Fast Tracking API at DIPY Workshop 2025! 🎤
🔗 Learn more & register at workshop.dipy.org
#DIPY #DiffusionMRI #Tractography #Neuroimaging #AI
eleftherios retweeted
🚀✨ Check out this compelling talk by Professor Paul Thompson (@PTenigma) from USC at #DipyWorkshop2024 on the power of diffusion MRI & generative AI in neuroimaging! 🧠💡 Discover groundbreaking insights into brain disorders like Parkinson's disease, major depression, bipolar disorder, epilepsy, schizophrenia, and more. Watch now: youtu.be/oM4sjpMZYO4 🌐📈 #Neuroimaging #AI #BrainResearch 🔍🌍
eleftherios retweeted
🔬 Exciting news from #CVPR2024! Our paper, 'Patch2Self2', unveils an innovative self-supervised approach for image denoising using coresets and matrix sketching. Huge congratulations to Shreyas Fadnavis @ShreyasSF , Petros Drineas @PDrineas , Agniva Chowdhury, Joshua Batson @thebasepoint, and Eleftherios Garyfallidis @garyfallidis for this breakthrough! Stay tuned for the implementation details.
#AI #CVPR2024 #MachineLearning #DiffusionMRI #DIPY #artificalintelligence #MedicalImageProcessing
Read more:
openaccess.thecvf.com/conten…
eleftherios retweeted
🚨 Exciting News! 🚨
Join us at #OHBM2024 where Bramsh Chandio @BramshQ will be presenting groundbreaking research on tractometry! 📊
📅 June 26 & 27 (Wed & Thurs)
🕐 12:45 - 2:45 pm
Posters:
1️⃣ (1617) Tractometry-based Harmonization of Scanner Effects
2️⃣ (1601) Enhancing Tractometry Robustness with Nonlinear Registration
See you there! 🌟 #DIPY #Neuroscience #Tractometry #OHBN2024 #DiffusionMRI #DataHarmonization
Thank you all for attending DW24!! 🌞🌞🌞
Huge thanks to our amazing speakers and all attendees for making our workshop such a success! Your knowledge, passion, and engagement truly made a difference. Let's keep the momentum going!
#Gratitude #WorkshopSuccess #DIPYWorkshop2024
📢Happy to share that Patch2Self2 will appear in CVPR 2024! A remarkable method at a remarkable conference! Time to denoise the largest of the large datasets out there. Congratulations @ShreyasSF and team! Well deserved! Learn more at the workshop.dipy.org
Excited to share that our paper 'Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching' has been accepted for publication at #CVPR2024! 📝Heartiest Congratulations to Shreyas Fadnavis @ShreyasSF , Petros Drineas, Agniva Chowdhury, Joshua Batson @thebasepoint , and Eleftherios Garyfallidis @garyfallidis !
#AI #CVPR2024 #MachineLearning #DiffusionMRI #DIPY #artificalintelligence #MedicalImageProcessing
eleftherios retweeted
Congratulations to Jong Sung Park @get_user_data @ShreyasSF @garyfallidis for his paper's publication in Communications Medicine, “Multi-scale V-net architecture with deep feature CRF layers for brain extraction”! nature.com/articles/s43856-0… (1/4)
eleftherios retweeted
🎉Get ready for an exciting lineup of speakers at the 2024 DIPY Workshop! Join us for insightful talks from Dr. Paul Thompson @PTenigma on neuroimaging studies with diffusion MRI, Dr. Markus Nilsson @m_nilsson on new encoding strategies, and Dr. Gary Zhang @garyhuizhang on machine learning techniques in quantitative MRI. 📷Don't miss this opportunity to learn from the best in the field! Register now for daily guided practice sessions, chances to present your work, and Certificates of Attendance. Platinum option includes exclusive post-event videos and support from the DIPY team.
Register Here - dipy.org/workshop/latest
#Research #Science #DIPY #Neuroscience #MachineLearning #ArtificialIntelligence #neuroimaging #MRI #DIPYWorkshop2024 #Brain1878
A remarkable piece of research work by PhD candidate Jong Sung Park aiming to improve segmentation accuracy in brain imaging. Congratulations @get_user_data !!!😇😇😇
Congratulations to Jong Sung Park @get_user_data @ShreyasSF @garyfallidis for his paper's publication in Communications Medicine, “Multi-scale V-net architecture with deep feature CRF layers for brain extraction”! nature.com/articles/s43856-0… (1/4)


















