[image: Indiana University Trident Logo] Indiana University Luddy School of Informatics, Computing, & Engineering <https://luddy.indiana.edu/> Garyfallidis Research Group <https://grg.luddy.indiana.edu/> Advancing diffusion MRI, neuroimaging, and scientific software worldwide. [image: DIPY Logo] [image: DIPY Workshop 2026 Banner] MAR 16-20 DIPY Online Workshop 2026 Hands-on diffusion MRI training with the DIPY developers 📅 *Monday, March 16 - Friday, March 20, 2026* 🕘 *Live daily at 9:00 AM ET* 📍 *100% Online via Zoom* Dear Scholar, We are pleased to invite you and your team to the *DIPY Workshop 2026*, a comprehensive 5-day online training program in diffusion and structural MRI analysis. *Early bird registration is officially open*. DIPY is an open-source Python library for analyzing diffusion MRI data, backed by *18 years of development* and contributions from *over 40 universities worldwide*. It powers *1,500+ research projects* and is widely recognized as a leading tool for neuroimaging analysis. This workshop offers *hands-on training* directly with DIPY core developers, covering everything from preprocessing to advanced tractography and analytics. Whether you are establishing a neuroimaging pipeline for your lab, training students, or expanding your team's technical capabilities, this workshop provides practical skills applicable to clinical and research settings. 2026 Workshop Highlights ✦ *AUTO* - New graphical user interface and automated pipeline ✦ *SUCOR* - Advanced susceptibility distortion correction ✦ *FORCE* - Advanced reconstruction model (one solves all) ✦ *GLIDE* - Highly optimized tractography algorithm ✦ *BUAN3* - Bundle analytics for statistical group studies ✦ *PUMBA* - Synthetic multimodal/species-invariant brain extraction ✦ *THETAN* - New theoretical AI framework for data intelligence ✦ *SKYLINE* - Advanced visualization platform for immersive data exploration Five-Day Curriculum Day 1 · Preprocessing Workshop overview, DIPY AUTO interface, SUCOR distortion correction Day 2 · Reconstruction Patch2Self3 denoising, DTI/DKI/CSD methods, FORCE reconstruction model Day 3 · Tractography Fiber tracking algorithms, GLIDE optimization, image registration techniques Day 4 · Analytics BUAN3 bundle analytics, PUMBA brain extraction, statistical analysis workflows Day 5 · Advanced THETAN AI framework, SKYLINE visualization, complete pipeline integration What is included ✔ Interactive, practice-focused sessions ✔ Present your data or challenges ✔ On-demand access to materials ✔ Discord community access ✔ Cutting-edge methods ✔ Study groups ✔ LinkedIn-verifiable certificate ✔ Research-ready templates & scripts Optional Add-Ons Recording Access Access all talks and materials during and after the workshop for extended learning. Coaching Package Up to 3 one-hour 1:1 sessions with DIPY developers for personalized guidance on your specific projects. Who Should Attend This workshop is designed for researchers, clinicians, radiologists, neurologists, students working with or planning to work with diffusion MRI data, and anyone who is interested in diffusion MRI. *No prior coding experience is required.* We encourage you to share this opportunity with colleagues, students, and team members who would benefit from advanced training in diffusion MRI analysis. Group registrations are welcome. 📝 Register Now - Early Bird Pricing <https://workshop.dipy.org/> 📅 Add to Calendar <https://calendar.google.com/calendar/render?action=TEMPLATE&text=DIPY+Workshop+2026&dates=20260316T130000Z/20260320T210000Z&details=Hands-on+Diffusion+MRI+Workshop+with+DIPY+Developers&location=Online+via+Zoom> 🔗 Share with Colleagues <https://workshop.dipy.org/> *Questions?* We are here to help. 📧 workshop@dipy.org *Learn more:* Full schedule and speaker bios <https://workshop.dipy.org/> *Connect:* DIPY.org <https://dipy.org/> | LinkedIn <https://linkedin.com/company/dipy> | Twitter <https://twitter.com/dipymri> | YouTube <https://www.youtube.com/@DiffusionImaginginPython> © 2026 DIPY Workshop · Garyfallidis Research Group Luddy School of Informatics, Computing, & Engineering – Indiana University Join the community forum <https://github.com/dipy/dipy/discussions>