From f851b943a69cd095cf9fa66d22f013d1c386ec28 Mon Sep 17 00:00:00 2001 From: Remi Gau Date: Fri, 13 Dec 2024 09:54:27 +0100 Subject: [PATCH] add minutes december --- meeting_notes/2024/2024_12_10.md | 58 ++++++++++++++++++++++++++++++++ 1 file changed, 58 insertions(+) create mode 100644 meeting_notes/2024/2024_12_10.md diff --git a/meeting_notes/2024/2024_12_10.md b/meeting_notes/2024/2024_12_10.md new file mode 100644 index 0000000..dfdce7f --- /dev/null +++ b/meeting_notes/2024/2024_12_10.md @@ -0,0 +1,58 @@ +# Agenda + +## News/TODO + +- 0.11 / Surface API out :tada: !! +- 0.11.1 should be done soon (when?) because of: + - [#4904](https://github.com/nilearn/nilearn/issues/4904): `SurfaceMasker cannot fit or transform list of 1D SurfaceImage` + - [#4922](https://github.com/nilearn/nilearn/issues/4922): `errors when loading filepaths with forward slashes` + - not caught by our tests... to be added + - release could take place next week +- [Nilearn on Bluesky](https://bsky.app/profile/nilearn.bsky.social), start posting about drop-in hours +- [Himanshu] Abstract for OHBM deadline: Tuesday, December 17, 2024 +- **report for CZI**: [ACTION][Rémi] will do it + +## PRs + +[List of PR needing review](https://github.com/nilearn/nilearn/pulls?q=is%3Apr+is%3Aopen+label%3A%22Review+required%22) +- mostly good, just an old one remaining: + - [#4287](https://github.com/nilearn/nilearn/pull/4287) - `[DOC] Add comparison of meaning differences of GLM between different libraries` + - already good enough? + +## Issues + +### Other + +- [#4885](https://github.com/nilearn/nilearn/issues/4885) - `[ENH] Add function to compute framewise displacement` + - concerns preprocessing and that is out-of-scope for nilearn + - [ACTION][Bertrand] to close issue +- [#4760](https://github.com/nilearn/nilearn/issues/4760) - `use pre-commit CI to run checks and update hooks` + - [Rémi] remove autofix in CI +- [#4739](https://github.com/nilearn/nilearn/issues/4739) - `Remove line-length = 79` + - [ACTION][Rémi] to close issue +- [#4525](https://github.com/nilearn/nilearn/issues/4525) - `[ENH] Include "goodness of fit" image in GLM reports ?` +- [#4811](https://github.com/nilearn/nilearn/issues/4811) `[ENH] avoid loading whole nifti-like image data when extracting time-series within a mask` + - 2 issues + - the issue of having label maskers return non aggregated data has come before: we probably do not want to change this behavior + - probably we should have an example of doing this + - have an example on how to optimize when one has "large images" + - further optimization may require to push people towards other options (use numpy) + - need better doc / examples + +### Surface + +- [#4879](https://github.com/nilearn/nilearn/issues/4879) - `Make some surface 'utility functions' public` + - move them under nilearn.surface but as private + - naming should be closer to nilearn.image + - and revisit later +- [#4878](https://github.com/nilearn/nilearn/issues/4878) - `[ENH] add max and min property to PolyData and SurfaceImage` + - [Himanshu] make it easy to access data +- more generally [Surface roadmap](https://github.com/nilearn/nilearn/issues/4889) + +### 0.11.2 roadmap + +- See ['meta' issue](https://github.com/nilearn/nilearn/issues/4890) + +## Set time next meeting + +- January Tuesday 14th at 4pm Paris time