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[PRE REVIEW]: pySegmentationUpsampler: Resampling segmented medical image data for treatment planning in ultrasound therapy #7463
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Five most similar historical JOSS papers: DICaugment: A Python Package for 3D Medical Imaging Augmentation Nanomesh: A Python workflow tool for generating meshes from image data SAMBA: A Trainable Segmentation Web-App with Smart Labelling Volume Segmantics: A Python Package for Semantic Segmentation of Volumetric Data Using Pre-trained PyTorch Deep Learning Disimpy: A massively parallel Monte Carlo simulator for generating diffusion-weighted MRI data in Python |
@editorialbot query scope @Donny-bla – thanks for your submission to JOSS. I'm querying this submission as it looks to not meet our required standards to head out for review. In particular, it's on the smaller side of what we typically publish, there does not appear to be an open source license, and the Python code does appear to be appropriately packaged. Per our submission guidelines:
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Submission flagged for editorial review. |
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发件人: The Open Journals editorial robot ***@***.***>
发送时间: 2024年11月12日 10:26
收件人: openjournals/joss-reviews ***@***.***>
抄送: Liu, Donny ***@***.***>; Mention ***@***.***>
主题: Re: [openjournals/joss-reviews] [PRE REVIEW]: pySegmentationUpsampler: Resampling segmented medical image data for treatment planning in ultrasound therapy (Issue #7463)
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主题: Re: [openjournals/joss-reviews] [PRE REVIEW]: pySegmentationUpsampler: Resampling segmented medical image data for treatment planning in ultrasound therapy (Issue #7463)
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主题: Re: [openjournals/joss-reviews] [PRE REVIEW]: pySegmentationUpsampler: Resampling segmented medical image data for treatment planning in ultrasound therapy (Issue #7463)
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Done! branch is now joss-paper |
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主题: Re: [openjournals/joss-reviews] [PRE REVIEW]: pySegmentationUpsampler: Resampling segmented medical image data for treatment planning in ultrasound therapy (Issue #7463)
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@editorialbot generate pdf
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发送时间: 2024年11月15日 18:12
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抄送: Liu, Donny ***@***.***>; Mention ***@***.***>
主题: Re: [openjournals/joss-reviews] [PRE REVIEW]: pySegmentationUpsampler: Resampling segmented medical image data for treatment planning in ultrasound therapy (Issue #7463)
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Five most similar historical JOSS papers: DICaugment: A Python Package for 3D Medical Imaging Augmentation Nanomesh: A Python workflow tool for generating meshes from image data SAMBA: A Trainable Segmentation Web-App with Smart Labelling Disimpy: A massively parallel Monte Carlo simulator for generating diffusion-weighted MRI data in Python Volume Segmantics: A Python Package for Semantic Segmentation of Volumetric Data Using Pre-trained PyTorch Deep Learning |
@editorialbot check references |
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Software report:
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Paper file info: 📄 Wordcount for ✅ The paper includes a |
License info: 🟡 License found: |
@arfon I believe I have made the necessary update - the DOIs are fixed, the python code is packaged and can be installed with pip, and I have added a license. Can you please clarify on whether the paper is on the short side, or whether the code is on the short side? We welcome your guidance on next steps. |
@Donny-bla you can address me as the AEiC on this track from now on for this submission. The editorial board is currently reviewing if this work is in scope for JOSS. The review should hopefully be complete by the end of this week. We will inform you once we are done. |
@Kevin-Mattheus-Moerman Hi Kevin, may I kindly ask the reviewing progress? Are there feedback for me? |
Submitting author: @Donny-bla (Liangpu Liu)
Repository: https://github.com/Donny-bla/segmentation-upsampler.git
Branch with paper.md (empty if default branch): joss-paper
Version: v1.0.0
Editor: Pending
Reviewers: Pending
Managing EiC: Arfon Smith
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