Posted in 2020

GSoD: High-level restructuring and end-user focus

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis, and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion, and structural imaging.

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Google Season of Docs 2020

Welcome, and thank you for showing your interest in DIPY(Diffusion Imaging in Python) and FURY(Free Unified Rendering in Python) projects! On this page, we will first provide more information about DIPY and FURY, then the current state of both projects’ documentation, and we will finish by describing two project ideas in detail. We want to point out that you are more than welcome to bring your ideas; we’d love to discuss with you any ideas that improve our online presence or documentation.

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Google Summer of Code 2020

DIPY is a free and open-source software library for the analysis of 3D/4D+ imaging in Python. It contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion, and structural imaging. DIPY has many users from computational neuroanatomy and medical data science field. DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging. DIPY is participating in GSoC this year for the 4th time.

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