Search Results - Jonas Malmsten

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  1. 1
    REVERSIBLE IMMOBILIZATION OF FREE-RANGING SNOW LEOPARDS (PANTHERA UNCIA) WITH A COMBINATION OF MEDETOMIDINE AND TILETAMINE-ZOLAZEPAM

    REVERSIBLE IMMOBILIZATION OF FREE-RANGING SNOW LEOPARDS (PANTHERA UNCIA) WITH A COMBINATION OF MEDETOMIDINE AND TILETAMINE-ZOLAZEPAM by Örjan Johansson, Jonas Malmsten, Charudutt Mishra, Purevjav Lkhagvajav, Tom McCarthy

    Published 2013
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  2. 2
    Blastocyst score, a blastocyst quality ranking tool, is a predictor of blastocyst ploidy and implantation potential

    Blastocyst score, a blastocyst quality ranking tool, is a predictor of blastocyst ploidy and implantation potential by Qiansheng Zhan, E.T. Sierra, Jonas Malmsten, Zhen Ye, Zev Rosenwaks, Nikica Zaninović

    Published 2020
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  3. 3
    Artificial intelligence assessment of time-lapse images can predict with 77% accuracy whether a human embryo capable of achieving a pregnancy will miscarry

    Artificial intelligence assessment of time-lapse images can predict with 77% accuracy whether a human embryo capable of achieving a pregnancy will miscarry by Rishabh Hariharan, Chloe He, Marcos Meseguer, Marco Toschi, José Celso Rocha, Nikica Zaninović, Jonas Malmsten, Qiansheng Zhan, Cristina Hickman

    Published 2019
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  4. 4
    Application of artificial intelligence technology to increase the efficacy of embryo selection and prediction of live birth using human blastocysts cultured in a time-lapse incubator

    Application of artificial intelligence technology to increase the efficacy of embryo selection and prediction of live birth using human blastocysts cultured in a time-lapse incubat... by Nikica Zaninović, José Celso Rocha, Qiansheng Zhan, Marco Toschi, Jonas Malmsten, Marcelo Fábio Gouveia Nogueira, Marcos Meseguer, Zev Rosenwaks, Cristina Hickman

    Published 2018
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  5. 5
    Characterization of an artificial intelligence model for ranking static images of blastocyst stage embryos

    Characterization of an artificial intelligence model for ranking static images of blastocyst stage embryos by Kevin Loewke, Justina Hyunjii Cho, Camelia D. Brumar, Paxton Maeder-York, Oleksii O. Barash, Jonas Malmsten, Nikica Zaninović, Denny Sakkas, Kathleen A. Miller, Michael L. Levy, Matthew VerMilyea

    Published 2022
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  6. 6
    Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization

    Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization by Pegah Khosravi, Ehsan Kazemi, Qiansheng Zhan, Jonas Malmsten, Marco Toschi, Pantelis Zisimopoulos, Alexandros Sigaras, Stuart Lavery, Lee Cooper, Cristina Hickman, Marcos Meseguer, Zev Rosenwaks, Olivier Elemento, Nikica Zaninović, Iman Hajirasouliha

    Published 2019
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  7. 7
    Automatic ploidy prediction and quality assessment of human blastocysts using time-lapse imaging

    Automatic ploidy prediction and quality assessment of human blastocysts using time-lapse imaging by Suraj Rajendran, Matthew Brendel, J. Wesley Barnes, Qiansheng Zhan, Jonas Malmsten, Pantelis Zisimopoulos, Alexandros Sigaras, Kwabena Ofori-Atta, Marcos Meseguer, Kathleen A. Miller, David I. Hoffman, Zev Rosenwaks, Olivier Elemento, Nikica Zaninović, Iman Hajirasouliha

    Published 2024
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  8. 8
    A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study

    A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study by J. Wesley Barnes, Matthew Brendel, Vianne R. Gao, Suraj Rajendran, Junbum Kim, Qianzi Li, Jonas Malmsten, Jose T Sierra, Pantelis Zisimopoulos, Alexandros Sigaras, Pegah Khosravi, Marcos Meseguer, Qiansheng Zhan, Zev Rosenwaks, Olivier Elemento, Nikica Zaninović, Iman Hajirasouliha

    Published 2022
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  9. 9
    Predictive modeling in reproductive medicine: Where will the future of artificial intelligence research take us?

    Predictive modeling in reproductive medicine: Where will the future of artificial intelligence research take us? by Carol Lynn Curchoe, Jonas Malmsten, Charles L. Bormann, Hadi Shafiee, Adolfo Flores-Saiffe Farías, Gerardo Mendizabal, Alejandro Chávez-Badiola, Alexandros Sigaras, Hoor Alshubbar, J Chambost, Céline Jacques, Chris-Alexandre Pena, Andrew Drakeley, Thomas Fréour, Iman Hajirasouliha, Cristina Hickman, Olivier Elemento, Nikica Zaninović, Zev Rosenwaks

    Published 2020
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    Revisão
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