Join us for the 2024 DIPY Workshop! - March 11-15 Online Edition!

Dear All, We are excited to invite you to our upcoming DIPY workshop that will take place from March 11 to March 15, 2024, where we promise you will be having an enriching experience diving in the world of advanced imaging technology and data analytics. This year our distinguished keynotes are Prof. Paul Thompson (USC), Prof. Gary Zhang (UCL), and Prof. Markus Nilsson (Lund) (see attachment). In addition, Prof. Garyfallidis, Rokem, Tax, Grusso, Harezlak, Esteban, and others will be talking about a variety of techniques involving the process of medical imaging including but not limited to Preprocessing, Reconstructing, Denoising, Microstructure modeling, Knowledge Distillation, Tractography, and Visualization. The DIPY workshop aims to train the next generation of scientists, doctors, and engineers who will shape the future of imaging. Your participation will greatly contribute to the success of the event. Please note that as it is customary for the DIPY workshop: - Sessions for guided practice (hands-on) will be available every day. - Attendees can present their work or problems of interest. - We provide Certificates of Attendance. To register for the workshop, or if you have any questions please visit our website here <https://dipy.org/workshops/dipy-workshop-2024> or feel free to reach out to our support team here <dipy@python.org>. We look forward to your participation and look forward to exploring the exciting work of imaging science together. Register Now!!! <https://dipy.org/workshops/dipy-workshop-2024#Registration> On behalf of the DIPY team, Mansi Ranka Research Assistant Intelligent Systems Engineering Indiana University Luddy Hall 700 N Woodlawn Bloomington, IN 47408 GRG <https://grg.luddy.indiana.edu/> | DIPY <http://dipy.org/> | FURY <https://fury.gl/> P.s. Please also note that the Platinum option (our best option) provides support well beyond March 15. P.s.2. Discounts will be provided again for students or faculty that live and work in harsh economic environments. Please ask for more information at dipy@python.org.
participants (2)
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DynaTech Systems
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Mansi Ranka