University of Cambridge > Talks.cam > Imagers Interest Group > Building sophisticated and reproducible neuroimaging pipelines with NiPyPe

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Building sophisticated and reproducible neuroimaging pipelines with NiPyPe

Download to your calendar using vCal

If you have a question about this talk, please contact Johan Carlin .

Did you ever try to build a pipeline that combines functions from e.g. SPM with functions from FSL ?, wanted to compare how different implementations in different packages influence your results?, or were frustrated by having to learn the syntax of a new imaging toolbox to use just one of the functions? In this talk, I’ll be given you a flavour of the neuroimaging pipelines in Python (NiPyPe) package that can combine different neuroimaging packages using a universal syntax to solve all of these problems.

This talk is part of the Imagers Interest Group series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Mead Room, University Centre In person if possible Judge Business School, Trumpington Street, Cambridge, CB2 1AG

Other talks

Defining and detecting discrimination: a new way forward Dwarf Galaxies in the Local Universe Title to be confirmed Haematology and Palliative Care Human monogamy in mammalian context Evolution: Inevitable or Remarkable?
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity