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[PRE REVIEW]: MIRP: A Python package for standardised radiomics #6345
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Five most similar historical JOSS papers: mrivis: Medical image visualization library for neuroscience in python PyMedPhys: A community effort to develop an open, Python-based standard library for medical physics applications libfmp: A Python Package for Fundamentals of Music Processing CleanX: A Python library for data cleaning of large sets of radiology images PoreSpy: A Python Toolkit for Quantitative Analysis of Porous Media Images |
Potential reviewers:
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R and Tex labels can be removed from this issue. The software is fully in Python. |
@editorialbot invite @emdupre as editor |
Invitation to edit this submission sent! |
Thanks for the invitation, @Kevin-Mattheus-Moerman ! Happy to take this |
@editorialbot assign @emdupre as editor |
Assigned! @emdupre is now the editor |
👋 Hi @alexzwanenburg, and thanks for your submission to JOSS ! I see that you have suggested several potential reviewers, thank you ! I'll put together a list of folks to reach out to as reviewers based on these suggestions and my own recommendations. I'll update this thread with that outreach. |
👋 Hi @Matthew-Jennings, @surajpaib, @andreped, Would you be willing to review MIRP: A Python package for standardised radiomics for JOSS (the Journal of Open Source Software)? You can learn more about reviewing for JOSS -- including our conflict of interest policy -- here. The review takes place on GitHub and focuses on the software and this short paper: If you're available to review this work within the next month—or six weeks, at most—please let me know and I'll add you as a reviewer. Once I have sufficient reviewers I'll open a dedicated review issue. Thank you for considering ! |
@emdupre I am busy finalizing my PhD atm, so I am unable to review this submission. |
Thank you for letting us know @andreped ! Please feel free to mute this issue so that you don't receive any additional pings. And best of luck with finishing up your degree ! |
@emdupre @alexzwanenburg Thank you for the recommendation! |
Thank you, @surajpaib ! I'll add you as a reviewer on this issue now. Once we have a sufficient number of reviewers, I'll open a dedicated review issue 🚀 |
@editorialbot add @surajpaib as reviewer |
@surajpaib added to the reviewers list! |
👋 Hi @drcandacemakedamoore, @theanega, @Matthew-Jennings, Would you be willing to review MIRP: A Python package for standardised radiomics for JOSS (the Journal of Open Source Software)? You can learn more about reviewing for JOSS -- including our conflict of interest policy -- here. The review takes place on GitHub and focuses on the software and this short paper: If you're available to review this work within the next month—or six weeks, at most—please let me know and I'll add you as a reviewer. Once I have sufficient reviewers I'll open a dedicated review issue. Thank you for considering ! |
Hi @emdupre. Sure! Happy to review. No conflicts of interest to disclose. |
Thank you, @Matthew-Jennings ! I'll add you as a reviewer on this issue now. Once we have a sufficient number of reviewers, I'll open a dedicated review issue 🚀 |
@editorialbot add @Matthew-Jennings as reviewer |
@Matthew-Jennings added to the reviewers list! |
Hello @emdupre I will be happy to review the work. |
Hi,
Happy to review too!
Thanks,
Olivia
…On Fri, 23 Feb 2024 at 18:37, Elizabeth DuPre ***@***.***> wrote:
👋 Hi @drcandacemakedamoore <https://github.com/drcandacemakedamoore>,
@theanega <https://github.com/theanega>, @Matthew-Jennings
<https://github.com/Matthew-Jennings>,
Would you be willing to review *MIRP: A Python package for standardised
radiomics* for JOSS (the Journal of Open Source Software)?
You can learn more about reviewing for JOSS -- including our conflict of
interest policy -- here.
The review takes place on GitHub and focuses on the software and this
short paper:
https://github.com/openjournals/joss-papers/blob/joss.06345/joss.06345/10.21105.joss.06345.pdf
If you're available to review this work within the next month—or six
weeks, at most—please let me know and I'll add you as a reviewer.
Once I have sufficient reviewers I'll open a dedicated review issue.
Thank you for considering !
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Thank you, @drcandacemakedamoore and @theanega ! I'll add you both as reviewers now. We'll then have a sufficient number of reviewers, so I'll go ahead and open the dedicated review issue ! 🚀 |
@editorialbot add @drcandacemakedamoore as reviewer |
@drcandacemakedamoore added to the reviewers list! |
@editorialbot add @theanega as reviewer |
@theanega added to the reviewers list! |
@editorialbot start review |
OK, I've started the review over in #6413. |
Submitting author: @alexzwanenburg (Alex Zwanenburg)
Repository: https://github.com/oncoray/mirp
Branch with paper.md (empty if default branch): paper
Version: v2.1.0
Editor: @emdupre
Reviewers: @surajpaib, @Matthew-Jennings, @drcandacemakedamoore, @theanega
Managing EiC: Kevin M. Moerman
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