Peer review reports
From: Using deep learning to predict the outcome of live birth from more than 10,000 embryo data
Original Submission | ||
---|---|---|
10 Jun 2021 | Submitted | Original manuscript |
27 Jul 2021 | Reviewed | Reviewer Report - Adolfo Flores-saiffe Farías |
29 Sep 2021 | Reviewed | Reviewer Report - Hyung Jin Chung |
25 Oct 2021 | Author responded | Author comments - Lei Jin |
Resubmission - Version 2 | ||
25 Oct 2021 | Submitted | Manuscript version 2 |
28 Oct 2021 | Author responded | Author comments - Lei Jin |
Resubmission - Version 3 | ||
28 Oct 2021 | Submitted | Manuscript version 3 |
29 Oct 2021 | Author responded | Author comments - Lei Jin |
Resubmission - Version 4 | ||
29 Oct 2021 | Submitted | Manuscript version 4 |
1 Nov 2021 | Author responded | Author comments - Lei Jin |
Resubmission - Version 5 | ||
1 Nov 2021 | Submitted | Manuscript version 5 |
16 Nov 2021 | Reviewed | Reviewer Report |
20 Nov 2021 | Reviewed | Reviewer Report - Adolfo Flores-saiffe Farías |
23 Nov 2021 | Author responded | Author comments - Lei Jin |
Resubmission - Version 6 | ||
23 Nov 2021 | Submitted | Manuscript version 6 |
11 Dec 2021 | Reviewed | Reviewer Report |
11 Dec 2021 | Reviewed | Reviewer Report - Hyung Jin Chung |
13 Dec 2021 | Author responded | Author comments - Lei Jin |
Resubmission - Version 7 | ||
13 Dec 2021 | Submitted | Manuscript version 7 |
22 Dec 2021 | Reviewed | Reviewer Report |
28 Dec 2021 | Reviewed | Reviewer Report - Adolfo Flores-saiffe Farías |
Resubmission - Version 8 | ||
Submitted | Manuscript version 8 | |
Publishing | ||
29 Dec 2021 | Editorially accepted | |
16 Jan 2022 | Article published | 10.1186/s12884-021-04373-5 |