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Peer Review reports

From: Better efficacy in differentiating WHO grade II from III oligodendrogliomas with machine-learning than radiologist’s reading from conventional T1 contrast-enhanced and fluid attenuated inversion recovery images

Original Submission
18 Apr 2019 Submitted Original manuscript
1 Jul 2019 Reviewed Reviewer Report - Eiichi Ishikawa
9 Jul 2019 Reviewed Reviewer Report - Samer Hoz
15 Jul 2019 Reviewed Reviewer Report - Michael A. Back
2 Nov 2019 Author responded Author comments - Sha-Sha Zhao
7 Dec 2019 Reviewed Reviewer Report - Eiichi Ishikawa
18 Dec 2019 Reviewed Reviewer Report - Michael A. Back
22 Dec 2019 Author responded Author comments - Sha-Sha Zhao
Resubmission - Version 2
2 Nov 2019 Submitted Manuscript version 2
7 Jan 2020 Author responded Author comments - Sha-Sha Zhao
Resubmission - Version 3
7 Jan 2020 Submitted Manuscript version 3
9 Jan 2020 Author responded Author comments - Sha-Sha Zhao
Resubmission - Version 4
9 Jan 2020 Submitted Manuscript version 4
Publishing
13 Jan 2020 Editorially accepted
7 Feb 2020 Article published 10.1186/s12883-020-1613-y

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