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RT @russpoldrack: @TheRealTimHahn1 Agreed! At least the MRIQC QA data are publicly available: https://t.co/nfIrZOj0BU
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@TheRealTimHahn1 Agreed! At least the MRIQC QA data are publicly available: https://t.co/nfIrZOj0BU
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RT @s0pwithcamel: MRIQCのソフトがあるらしい。SNRやCNR、motion artifactなどをチェックしレポートを作成してくれるとのこと。大規模なデータベースを利用する前に一度こういうQCを行ってから使用したほうがいい気がする。 値が変だと思って元画像…
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RT @s0pwithcamel: MRIQCのソフトがあるらしい。SNRやCNR、motion artifactなどをチェックしレポートを作成してくれるとのこと。大規模なデータベースを利用する前に一度こういうQCを行ってから使用したほうがいい気がする。 値が変だと思って元画像…
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MRIQCのソフトがあるらしい。SNRやCNR、motion artifactなどをチェックしレポートを作成してくれるとのこと。大規模なデータベースを利用する前に一度こういうQCを行ってから使用したほうがいい気がする。 値が変だと思って元画像を確認するとアーチファクトがあったり 、、https://t.co/UYNR2cPKq6
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Crowdsourced MRI quality metrics and expert quality annotations for training of humans and machines published as: https://t.co/wKNozaKBO2 @ScientificData #biorxiv
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Crowdsourced MRI quality metrics and expert quality annotations for training of humans and.. - https://t.co/Isq4Puj9aw via @_feedspot
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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RT @PSUBrainLab: First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in work…
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First, #fMRIPrep, and now important new efforts for multi-site imaging data harmonization. Congrats to the authors in working to unify the imaging community around common analytical pipelines: https://t.co/Q542orsBin @oesteban @russpoldrack @chrisgorgo
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Quality Metrics! https://t.co/nhG6rBG4Mj
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New from #OfficialNIHR https://t.co/OdT5rrlztD Crowdsourced MRI quality metrics and expert quality annotations for training of humans and machines
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RT @ScientificData: Towards the goal of automated quality control tools that outperform experts in identifying subpar #MRI images, @oesteba…
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RT @ScientificData: Towards the goal of automated quality control tools that outperform experts in identifying subpar #MRI images, @oesteba…
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RT @ScientificData: Towards the goal of automated quality control tools that outperform experts in identifying subpar #MRI images, @oesteba…
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RT @ScientificData: Towards the goal of automated quality control tools that outperform experts in identifying subpar #MRI images, @oesteba…
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RT @ScientificData: Towards the goal of automated quality control tools that outperform experts in identifying subpar #MRI images, @oesteba…
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RT @ScientificData: Towards the goal of automated quality control tools that outperform experts in identifying subpar #MRI images, @oesteba…
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RT @ScientificData: Towards the goal of automated quality control tools that outperform experts in identifying subpar #MRI images, @oesteba…
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RT @ScientificData: Towards the goal of automated quality control tools that outperform experts in identifying subpar #MRI images, @oesteba…
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The #MRIQC WebAPI is now published! We are collecting image quality metrics and human ratings to make automated QC work. Please check out the latest version of MRIQC (0.15.0, rolled out last week) and the paper. Thanks @chrisgorgo @damadam @russpoldrack @s
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Crowdsourced MRI quality metrics and expert quality annotations for training of humans and null https://t.co/ud3Cuqi0DG #DTHSTR
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Crowdsourced MRI quality metrics and expert quality annotations for training of humans and machines | Scientific Data https://t.co/rQbUXM0Ugh
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RT @ScientificData: Towards the goal of automated quality control tools that outperform experts in identifying subpar #MRI images, @oesteba…
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Towards the goal of automated quality control tools that outperform experts in identifying subpar #MRI images, @oesteban at @Stanford presents an #crowdsourced database of image quality metrics extracted from MRIs & manual expert assessments. https://t