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[PRE REVIEW]: Lo-Fi-Sim: A python-based open-source platform for image simulation and generation of point-of-care low-field (Lo-Fi) MRI #7276
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Hello human, I'm @editorialbot, a robot that can help you with some common editorial tasks. For a list of things I can do to help you, just type:
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Paper file info: 📄 Wordcount for 🔴 Failed to discover a |
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@editorialbot generate pdf |
Five most similar historical JOSS papers: qMRLab: Quantitative MRI analysis, under one umbrella PyPulseq: A Python Package for MRI Pulse Sequence Design PyQMRI: An accelerated Python based Quantitative MRI toolbox MRdataset : A unified and user-friendly interface to medical imaging datasets Simulated Diffusion in Realistic Imaging Features of Tissue (Sim-DRIFT) |
Hello @Kevin-Mattheus-Moerman, thanks for regenerating my paper. It is my first time submitting to JOSS and I am a little lost regarding the next steps of the reviewing process, should I find reviewers from the list on the first message of the editorial bot, or should I contact people from the 5 papers mentioned in the previous editorial bot message? Thanks a lot! |
@mathieumach I'm the AEiC on this track. Our website tells us more about the review process. The next steps are that I'll do some checks to see if this is in scope for JOSS. If so, I'll look for a handling editor. Once we have a handling editor then that editor will look for reviewers. So no steps are required yet from your side. |
@Kevin-Mattheus-Moerman, thank you for your reply and explanations. I will wait for the reviewers and please don’t hesitate to let me know if anything is needed. Have a good day :) |
@mathieumach apologies my phone added several typos in my previous message. I've edited it just now, but I think you understood. |
@mathieumach some points needing your attention below:
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@Kevin-Mattheus-Moerman Thank you for the points you raised.
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@editorialbot generate pdf |
Five most similar historical JOSS papers: qMRLab: Quantitative MRI analysis, under one umbrella PyPulseq: A Python Package for MRI Pulse Sequence Design PyQMRI: An accelerated Python based Quantitative MRI toolbox MRdataset : A unified and user-friendly interface to medical imaging datasets Radial Interstices Enable Speedy Low-volume Imaging |
@Kevin-Mattheus-Moerman, the organisation of the repository has been modified as you suggested. Please let me know if you need anything from my side before having a handling editor and reviewers. Have a good weekend. |
@mathieumach thanks for working on my feedback. I still feel the project/repository organisation is not up to the usual standard. Detailed functional GUI documentation, code documentation, contributing guidelines, and testing appear to be lacking, and the README is not detailed enough (e.g. the missing aspects should be linked to). As it stands this work does not pass our substantial scholarly effort criteria. I would suggest you consider to resubmit when the package is more mature. If unit testing, automated testing, and detailed documentation (and the above aspects) are added we may reconsider this submission. For the moment I'll reject this submission. |
@editorialbot reject |
Paper rejected. |
@Kevin-Mattheus-Moerman , I apologize for my late response. Thank you for taking the time to review my submission and for providing detailed and constructive feedback. I sincerely appreciate your thorough assessment and the suggestions for improvement. As I work on addressing the areas you highlighted, I would be grateful for any further advice you could offer regarding the best practices regarding the project repository structure to ensure it meets the usual standards. Once these revisions are completed, I hope to resubmit a more mature and well-documented version of the project for reconsideration. |
Submitting author: @mathieumach (Mathieu Mach)
Repository: https://github.com/mathieumach/Lo-Fi-Sim
Branch with paper.md (empty if default branch): main
Version: v1.0.0
Editor: Pending
Reviewers: Pending
Managing EiC: Kevin M. Moerman
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