BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

284 related articles for article (PubMed ID: 31319944)

  • 1. Embryo development stage prediction algorithm for automated time lapse incubators.
    Dirvanauskas D; Maskeliunas R; Raudonis V; Damasevicius R
    Comput Methods Programs Biomed; 2019 Aug; 177():161-174. PubMed ID: 31319944
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Towards the automation of early-stage human embryo development detection.
    Raudonis V; Paulauskaite-Taraseviciene A; Sutiene K; Jonaitis D
    Biomed Eng Online; 2019 Dec; 18(1):120. PubMed ID: 31830988
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Performance of a deep learning based neural network in the selection of human blastocysts for implantation.
    Bormann CL; Kanakasabapathy MK; Thirumalaraju P; Gupta R; Pooniwala R; Kandula H; Hariton E; Souter I; Dimitriadis I; Ramirez LB; Curchoe CL; Swain J; Boehnlein LM; Shafiee H
    Elife; 2020 Sep; 9():. PubMed ID: 32930094
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improving embryo selection using a computer-automated time-lapse image analysis test plus day 3 morphology: results from a prospective multicenter trial.
    Conaghan J; Chen AA; Willman SP; Ivani K; Chenette PE; Boostanfar R; Baker VL; Adamson GD; Abusief ME; Gvakharia M; Loewke KE; Shen S
    Fertil Steril; 2013 Aug; 100(2):412-9.e5. PubMed ID: 23721712
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prospective study of automated versus manual annotation of early time-lapse markers in the human preimplantation embryo.
    Kaser DJ; Farland LV; Missmer SA; Racowsky C
    Hum Reprod; 2017 Aug; 32(8):1604-1611. PubMed ID: 28854587
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic time-lapse instrument is superior to single-point morphology observation for selecting viable embryos: retrospective study in oocyte donation.
    Aparicio-Ruiz B; Basile N; Pérez Albalá S; Bronet F; Remohí J; Meseguer M
    Fertil Steril; 2016 Nov; 106(6):1379-1385.e10. PubMed ID: 27530063
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparison of embryo implantation potential between time-lapse incubators and standard incubators: a randomized controlled study.
    Zhang XD; Zhang Q; Han W; Liu WW; Shen XL; Yao GD; Shi SL; Hu LL; Wang SS; Wang JX; Zhou JJ; Kang WW; Zhang HD; Luo C; Yu Q; Liu RZ; Sun YP; Sun HX; Wang XH; Quan S; Huang GN
    Reprod Biomed Online; 2022 Nov; 45(5):858-866. PubMed ID: 36210273
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Application of convolutional neural network on early human embryo segmentation during in vitro fertilization.
    Zhao M; Xu M; Li H; Alqawasmeh O; Chung JPW; Li TC; Lee TL; Tang PM; Chan DYL
    J Cell Mol Med; 2021 Mar; 25(5):2633-2644. PubMed ID: 33486848
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated embryo stage classification in time-lapse microscopy video of early human embryo development.
    Wang Y; Moussavi F; Lorenzen P
    Med Image Comput Comput Assist Interv; 2013; 16(Pt 2):460-7. PubMed ID: 24579173
    [TBL] [Abstract][Full Text] [Related]  

  • 10. No benefit of culturing embryos in a closed system compared with a conventional incubator in terms of number of good quality embryos: results from an RCT.
    Park H; Bergh C; Selleskog U; Thurin-Kjellberg A; Lundin K
    Hum Reprod; 2015 Feb; 30(2):268-75. PubMed ID: 25432920
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Pregnancy rates of day 4 and day 5 embryos after culture in an integrated time-lapse incubator.
    Holschbach V; Weigert J; Dietrich JE; Roesner S; Montag M; Strowitzki T; Toth B
    Reprod Biol Endocrinol; 2017 May; 15(1):37. PubMed ID: 28482910
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Semiautomated analysis of embryoscope images: Using localized variance of image intensity to detect embryo developmental stages.
    Mölder A; Drury S; Costen N; Hartshorne GM; Czanner S
    Cytometry A; 2015 Feb; 87(2):119-28. PubMed ID: 25614363
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development of a generally applicable morphokinetic algorithm capable of predicting the implantation potential of embryos transferred on Day 3.
    Petersen BM; Boel M; Montag M; Gardner DK
    Hum Reprod; 2016 Oct; 31(10):2231-44. PubMed ID: 27609980
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and evaluation of inexpensive automated deep learning-based imaging systems for embryology.
    Kanakasabapathy MK; Thirumalaraju P; Bormann CL; Kandula H; Dimitriadis I; Souter I; Yogesh V; Kota Sai Pavan S; Yarravarapu D; Gupta R; Pooniwala R; Shafiee H
    Lab Chip; 2019 Dec; 19(24):4139-4145. PubMed ID: 31755505
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Embryo incubation and selection in a time-lapse monitoring system improves pregnancy outcome compared with a standard incubator: a retrospective cohort study.
    Meseguer M; Rubio I; Cruz M; Basile N; Marcos J; Requena A
    Fertil Steril; 2012 Dec; 98(6):1481-9.e10. PubMed ID: 22975113
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic grading of human blastocysts from time-lapse imaging.
    Kragh MF; Rimestad J; Berntsen J; Karstoft H
    Comput Biol Med; 2019 Dec; 115():103494. PubMed ID: 31630027
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Blastocyst development in single medium with or without renewal on day 3: a prospective cohort study on sibling donor oocytes in a time-lapse incubator.
    Costa-Borges N; Bellés M; Meseguer M; Galliano D; Ballesteros A; Calderón G
    Fertil Steril; 2016 Mar; 105(3):707-713. PubMed ID: 26690010
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Time-lapse systems for embryo incubation and assessment in assisted reproduction.
    Armstrong S; Arroll N; Cree LM; Jordan V; Farquhar C
    Cochrane Database Syst Rev; 2015 Feb; (2):CD011320. PubMed ID: 25721906
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Semi-automated morphometric analysis of human embryos can reveal correlations between total embryo volume and clinical pregnancy.
    Paternot G; Debrock S; De Neubourg D; D'Hooghe TM; Spiessens C
    Hum Reprod; 2013 Mar; 28(3):627-33. PubMed ID: 23315063
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Embryo Ranking Intelligent Classification Algorithm (ERICA): artificial intelligence clinical assistant predicting embryo ploidy and implantation.
    Chavez-Badiola A; Flores-Saiffe-Farías A; Mendizabal-Ruiz G; Drakeley AJ; Cohen J
    Reprod Biomed Online; 2020 Oct; 41(4):585-593. PubMed ID: 32843306
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.