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1.
Improved pregnancy prediction performance in an updated deep-learning embryo selection model: a retrospective independent validation study.
Reprod Biomed Online
; 48(1): 103308, 2024 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-37914559
2.
Does embryo categorization by existing artificial intelligence, morphokinetic or morphological embryo selection models correlate with blastocyst euploidy rates?
Reprod Biomed Online
; 46(2): 274-281, 2023 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-36470714
3.
Correlations between a deep learning-based algorithm for embryo evaluation with cleavage-stage cell numbers and fragmentation.
Reprod Biomed Online
; 47(6): 103408, 2023 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-37866216
4.
Using blastocyst re-expansion rate for deciding when to warm a new blastocyst for single vitrified-warmed blastocyst transfer.
Reprod Biomed Online
; 47(6): 103378, 2023 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-37862858
5.
Comparing performance between clinics of an embryo evaluation algorithm based on time-lapse images and machine learning.
J Assist Reprod Genet
; 40(9): 2129-2137, 2023 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-37423932
6.
Aneuploidy rates and morphokinetic parameters of embryos cultured in distinct culture media: a sibling oocyte study.
Hum Reprod
; 37(2): 226-234, 2022 Jan 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-34791277
7.
Correlation between an annotation-free embryo scoring system based on deep learning and live birth/neonatal outcomes after single vitrified-warmed blastocyst transfer: a single-centre, large-cohort retrospective study.
J Assist Reprod Genet
; 39(9): 2089-2099, 2022 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-35881272
8.
Comparing prediction of ongoing pregnancy and live birth outcomes in patients with advanced and younger maternal age patients using KIDScore™ day 5: a large-cohort retrospective study with single vitrified-warmed blastocyst transfer.
Reprod Biol Endocrinol
; 19(1): 98, 2021 Jul 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-34215265
9.
Correction to: Correlation between an annotation-free embryo scoring system based on deep learning and live birth/neonatal outcomes after single vitrified-warmed blastocyst transfer: a single-centre, large-cohort retrospective study.
J Assist Reprod Genet
; 39(9): 2101, 2022 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-36044166
10.
Development and validation of deep learning based embryo selection across multiple days of transfer.
Sci Rep
; 13(1): 4235, 2023 03 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-36918648
11.
Towards Automation in IVF: Pre-Clinical Validation of a Deep Learning-Based Embryo Grading System during PGT-A Cycles.
J Clin Med
; 12(5)2023 Feb 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-36902592
12.
Predicting Embryo Viability Based on Self-Supervised Alignment of Time-Lapse Videos.
IEEE Trans Med Imaging
; 41(2): 465-475, 2022 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-34596537
13.
Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences.
PLoS One
; 17(2): e0262661, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35108306
14.
Pregnancy prediction performance of an annotation-free embryo scoring system on the basis of deep learning after single vitrified-warmed blastocyst transfer: a single-center large cohort retrospective study.
Fertil Steril
; 116(4): 1172-1180, 2021 10.
Artículo
en Inglés
| MEDLINE | ID: mdl-34246469
15.
Automatic grading of human blastocysts from time-lapse imaging.
Comput Biol Med
; 115: 103494, 2019 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-31630027
16.
Symposium: innovative techniques in human embryo viability assessment. Human oocyte respiration-rate measurement--potential to improve oocyte and embryo selection?
Reprod Biomed Online
; 17(4): 461-9, 2008 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-18854099
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