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[PRE REVIEW]: MIRTorch: A Differentiable Medical Image Reconstruction Toolbox #7253
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Five most similar historical JOSS papers: DIRECT: Deep Image REConstruction Toolkit Radial Interstices Enable Speedy Low-volume Imaging ivadomed: A Medical Imaging Deep Learning Toolbox MRdataset : A unified and user-friendly interface to medical imaging datasets elsa: an elegant framework for tomographic reconstruction |
@guanhuaw Dear author, thanks for this submission. I am the AEiC on this track and here to help process the initial steps. Before we proceed, please can you have a look at the following points:
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@guanhuaw I have just waitlisted this submission since many of the editors in this domain are currently handling other submissions. I aim to assign an editor as soon as possible. |
@ymzayek I see you may be nearly done with one of you submissions. Do you think you could take on this one as editor once you are available? |
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Hi sorry for the late reply. Yes I'll take this |
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Five most similar historical JOSS papers: DIRECT: Deep Image REConstruction Toolkit Radial Interstices Enable Speedy Low-volume Imaging ivadomed: A Medical Imaging Deep Learning Toolbox MRdataset : A unified and user-friendly interface to medical imaging datasets Scientific Computational Imaging Code (SCICO) |
Hi @guanhuaw, I am the handling editor for this submission. Can you please check the reference summary for the skipped and missing DOIs in #7253 (comment) and update them or provide a reason for their omission? Also let me know if you already have suggestions for reviewers. You can use the potential reviewers list provided at the top of this issue. You can also have a look at the authors in similar papers in JOSS #7253 (comment). If you have suggestions, please provide a list of potential reviewers here but do not use the @ character to avoid receiving unwanted notifications. Thank you in advance. |
Hi @ymzayek and @Kevin-Mattheus-Moerman, Thank you both for your assistance with my submission. I apologize for not thoroughly checking the DOI and for directly using Zotero without careful review. We updated the Regarding potential reviewers, I believe individuals with expertise in inverse problems and medical imaging would be a good fit. From the list, the following may be suitable candidates: Pierre-Antoine Comby, Jonathan Bach Martin, Haykel Snoussi, Ajinkya Kadu, and sairamgeethanath. Thanks again for your help! Best, |
@editorialbot check references |
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Hello @paquiteau, @jonbmartin and @H-Snoussi, Would you be willing to assist in reviewing this submission for JOSS (Journal of Open Source Software)? JOSS publishes articles about open source research software. The submission I'd like you to review is titled: MIRTorch: A Differentiable Medical Image Reconstruction Toolbox You can find more information at the top of this Github issue. The review process at JOSS is unique: it takes place in a GitHub issue, is open, and author-reviewer-editor conversations are encouraged. If you have any questions please let me know. This is the pre-review issue. After setting at least 2 reviewers we will start the review process in a separate thread. In that thread, there will be 23 check items for each single reviewer. Thank you in advance! |
Yes I can review it :) @guanhuaw: shameless plug, but you can check out our work on Non-Cartesian MRI https://github.com/mind-inria/mri-nufft, that should a nice addition for your MRI linear operators (with performance improvements compared to torchkbnufft 2) Footnotes
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Hello Yasmin,
Yes, this would be a very useful software tool for me - I'd be happy to
review!
Jonathan
…On Thu, Oct 3, 2024 at 9:29 AM Yasmin ***@***.***> wrote:
Hello @paquiteau <https://github.com/paquiteau>, @jonbmartin
<https://github.com/jonbmartin> and @H-Snoussi
<https://github.com/H-Snoussi>,
Would you be willing to assist in reviewing this submission for JOSS
(Journal of Open Source Software)?
JOSS publishes articles about open source research software. The
submission I'd like you to review is titled:
MIRTorch: A Differentiable Medical Image Reconstruction Toolbox
You can find more information at the top of this Github issue.
The review process at JOSS is unique: it takes place in a GitHub issue, is
open, and author-reviewer-editor conversations are encouraged. If you have
any questions please let me know.
This is the pre-review issue. After setting at least 2 reviewers we will
start the review process in a separate thread. In that thread, there will
be 23 check items for each single reviewer.
Thank you in advance!
—
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Hello Yasmin,
Thank you for contacting me. Unfortunately, this is outside my expertise,
so I won't be able to review it.
Best regards,
Haykel
…On Thu, Oct 3, 2024 at 10:29 AM Yasmin ***@***.***> wrote:
Hello @paquiteau <https://github.com/paquiteau>, @jonbmartin
<https://github.com/jonbmartin> and @H-Snoussi
<https://github.com/H-Snoussi>,
Would you be willing to assist in reviewing this submission for JOSS
(Journal of Open Source Software)?
JOSS publishes articles about open source research software. The
submission I'd like you to review is titled:
MIRTorch: A Differentiable Medical Image Reconstruction Toolbox
You can find more information at the top of this Github issue.
The review process at JOSS is unique: it takes place in a GitHub issue, is
open, and author-reviewer-editor conversations are encouraged. If you have
any questions please let me know.
This is the pre-review issue. After setting at least 2 reviewers we will
start the review process in a separate thread. In that thread, there will
be 23 check items for each single reviewer.
Thank you in advance!
—
Reply to this email directly, view it on GitHub
<#7253 (comment)>,
or unsubscribe
<https://github.com/notifications/unsubscribe-auth/AEZIGBRBUFV5EMIXFAW3HOTZZVIEBAVCNFSM6AAAAABOSHB35CVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDGOJRGU3TAOBZGA>
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@paquiteau thanks for accepting. Good to hear from you as well :) @jonbmartin thanks for agreeing to review this and I'm glad it if you can find it useful. I think we can get this started then. The review will start in a separate thread. @guanhuaw you can follow the review in the new review issue that will be opened. |
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OK, I've started the review over in #7340. |
Submitting author: @guanhuaw (Guanhua Wang)
Repository: https://github.com/guanhuaw/MIRTorch
Branch with paper.md (empty if default branch): feature/joss
Version: v0.1.2
Editor: @ymzayek
Reviewers: @paquiteau, @jonbmartin
Managing EiC: Kevin M. Moerman
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