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ArticlesPeer ReviewedFull Text
Performance of a deep learning based neural network in the selection of human blastocysts for implantation
Author / Creator:Bormann, Charles L ; Kanakasabapathy, Manoj Kumar ; Thirumalaraju, Prudhvi ; Gupta, Raghav ; Pooniwala, Rohan ; Kandula, Hemanth ; Hariton, Eduardo ; Souter, Irene ; Dimitriadis, Irene ; Ramirez, Leslie B ; Curchoe, Carol L ; Swain, Jason ; Boehnlein, Lynn M ; Shafiee, Hadi
Publisher:England: eLife Science Publications, Ltd
Journal title:eLife, 2020-09, Vol.9
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Automated smartphone-based system for measuring sperm viability, DNA fragmentation, and hyaluronic binding assay score
Author / Creator:Dimitriadis, Irene ; L. Bormann, Charles ; Kanakasabapathy, Manoj Kumar ; Thirumalaraju, Prudhvi ; Kandula, Hemanth ; Yogesh, Vinish ; Gudipati, Neeraj ; Natarajan, Vignesh ; C. Petrozza, John ; Shafiee, Hadi
Publisher:United States: Public Library of Science
Journal title:PloS one, 2019-03, Vol.14 (3), p.e0212562-e0212562
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The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status
Author / Creator:Jiang, Victoria S. ; Kandula, Hemanth ; Thirumalaraju, Prudhvi ; Kanakasabapathy, Manoj Kumar ; Cherouveim, Panagiotis ; Souter, Irene ; Dimitriadis, Irene ; Bormann, Charles L. ; Shafiee, Hadi
Publisher:New York: Springer US
Journal title:Journal of assisted reproduction and genetics, 2023-02, Vol.40 (2), p.301-308
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The impact of anti-Müllerian hormone on endometrial thickness in gonadotropin stimulation/intrauterine insemination cycles: is there an effect on pregnancy outcomes?
Author / Creator:Vagios, Stylianos ; Sacha, Caitlin R. ; James, Kaitlyn E. ; Hammer, Karissa C. ; Fitz, Victoria W. ; Dimitriadis, Irene ; Bormann, Charles L. ; Souter, Irene
Publisher:New York: Springer US
Journal title:Journal of assisted reproduction and genetics, 2023-04, Vol.40 (4), p.845-850
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Artificial intelligence and machine learning for human reproduction and embryology presented at ASRM and ESHRE 2018
Author / Creator:Curchoe, Carol Lynn ; Bormann, Charles L.
Publisher:New York: Springer US
Journal title:Journal of assisted reproduction and genetics, 2019-04, Vol.36 (4), p.591-600
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Live birth outcomes following single-step blastocyst warming technique – optimizing efficiency without impacting live birth rates
Author / Creator:Jiang, Victoria S. ; Cherouveim, Panagiotis ; Naert, Mackenzie N ; Dimitriadis, Irene ; Souter, Irene ; Bormann, Charles L
Publisher:New York: Springer US
Journal title:Journal of assisted reproduction and genetics, 2024-05, Vol.41 (5), p.1193-1202
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Advancements in the future of automating micromanipulation techniques in the IVF laboratory using deep convolutional neural networks
Author / Creator:Jiang, Victoria S. ; Kartik, Deeksha ; Thirumalaraju, Prudhvi ; Kandula, Hemanth ; Kanakasabapathy, Manoj Kumar ; Souter, Irene ; Dimitriadis, Irene ; Bormann, Charles L. ; Shafiee, Hadi
Publisher:New York: Springer US
Journal title:Journal of assisted reproduction and genetics, 2023-02, Vol.40 (2), p.251-257
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ArticlesPeer ReviewedFull Text
The effect of semen collection location and time to processing on sperm parameters and early IVF/ICSI outcomes
Author / Creator:Sacha, Caitlin R. ; Vagios, Stylianos ; Hammer, Karissa ; Fitz, Victoria ; Souter, Irene ; Bormann, Charles L.
Publisher:New York: Springer US
Journal title:Journal of assisted reproduction and genetics, 2021-06, Vol.38 (6), p.1449-1457
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Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI)
Author / Creator:Cherouveim, Panagiotis ; Jiang, Victoria S. ; Kanakasabapathy, Manoj Kumar ; Thirumalaraju, Prudhvi ; Souter, Irene ; Dimitriadis, Irene ; Bormann, Charles L. ; Shafiee, Hadi
Publisher:New York: Springer US
Journal title:Journal of assisted reproduction and genetics, 2023-02, Vol.40 (2), p.241-249
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ArticlesPeer ReviewedFull Text
Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory
Author / Creator:Bormann, Charles L. ; Curchoe, Carol Lynn ; Thirumalaraju, Prudhvi ; Kanakasabapathy, Manoj K. ; Gupta, Raghav ; Pooniwala, Rohan ; Kandula, Hemanth ; Souter, Irene ; Dimitriadis, Irene ; Shafiee, Hadi
Publisher:New York: Springer US
Journal title:Journal of assisted reproduction and genetics, 2021-07, Vol.38 (7), p.1641-1646
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Müllerian-Inhibiting Substance/Anti-Müllerian Hormone as a Predictor of Preterm Birth in Polycystic Ovary Syndrome
Author / Creator:Hsu, Jennifer Y ; James, Kaitlyn E ; Bormann, Charles L ; Donahoe, Patricia K ; Pépin, David ; Sabatini, Mary E
Publisher:United States: Copyright Oxford University Press
Journal title:The journal of clinical endocrinology and metabolism, 2018-11, Vol.103 (11), p.4187-4196
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ArticlesPeer ReviewedFull Text
Using artificial intelligence to avoid human error in identifying embryos: a retrospective cohort study
Author / Creator:Hammer, Karissa C. ; Jiang, Victoria S. ; Kanakasabapathy, Manoj Kumar ; Thirumalaraju, Prudhvi ; Kandula, Hemanth ; Dimitriadis, Irene ; Souter, Irene ; Bormann, Charles L. ; Shafiee, Hadi
Publisher:New York: Springer US
Journal title:Journal of assisted reproduction and genetics, 2022-10, Vol.39 (10), p.2343-2348
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ArticlesPeer ReviewedFull Text
Response to ovulation induction treatments in women with polycystic ovary syndrome as a function of serum anti-Müllerian hormone levels
Author / Creator:Vagios, Stylianos ; Sacha, Caitlin R. ; Hammer, Karissa C. ; Dimitriadis, Irene ; James, Kaitlyn E. ; Bormann, Charles L. ; Souter, Irene
Publisher:New York: Springer US
Journal title:Journal of assisted reproduction and genetics, 2021-07, Vol.38 (7), p.1827-1833
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ArticlesPeer ReviewedFull Text
Correction to: Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory
Author / Creator:Bormann, Charles L. ; Curchoe, Carol Lynn ; Thirumalaraju, Prudhvi ; Kanakasabapathy, Manoj K. ; Gupta, Raghav ; Pooniwala, Rohan ; Kandula, Hemanth ; Souter, Irene ; Dimitriadis, Irene ; Shafiee, Hadi
Publisher:New York: Springer US
Journal title:Journal of assisted reproduction and genetics, 2021-07, Vol.38 (7), p.1893-1893
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ArticlesPeer ReviewedFull Text
Adaptive adversarial neural networks for the analysis of lossy and domain-shifted datasets of medical images
Author / Creator:Kanakasabapathy, Manoj Kumar ; Thirumalaraju, Prudhvi ; Kandula, Hemanth ; Doshi, Fenil ; Sivakumar, Anjali Devi ; Kartik, Deeksha ; Gupta, Raghav ; Pooniwala, Rohan ; Branda, John A. ; Tsibris, Athe M. ; Kuritzkes, Daniel R. ; Petrozza, John C. ; Bormann, Charles L. ; Shafiee, Hadi
Publisher:London: Nature Publishing Group UK
Journal title:Nature biomedical engineering, 2021-06, Vol.5 (6), p.571-585
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Is the presence of a non-cleaved embryo on day 3 associated with poorer quality of the remaining embryos in the cohort?
Author / Creator:Machtinger, Ronit ; Bormann, Charles L. ; Ginsburg, Elizabeth S. ; Racowsky, Catherine
Publisher:New York: Springer US
Journal title:Journal of assisted reproduction and genetics, 2015-05, Vol.32 (5), p.677-683
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Is the presence of an uncleaved embryo on day 3 a useful predictor of outcomes following day 5 transfer?
Author / Creator:Men, Clara J. ; Bormann, Charles L. ; Walsh, Brian W. ; Racowsky, Catherine
Publisher:New York: Springer US
Journal title:Journal of assisted reproduction and genetics, 2015-09, Vol.32 (9), p.1379-1384
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Digitising the human embryo
Author / Creator:Shafiee, Hadi ; Kanakasabapathy, Manoj Kumar ; Bormann, Charles L ; Topol, Eric J
Publisher:London: Elsevier Ltd
Journal title:The Lancet (British edition), 2022-11, Vol.400 (10363), p.1577-1577
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Deep learning mediated single time-point image-based prediction of embryo developmental outcome at the cleavage stage
Author / Creator:Kanakasabapathy, Manoj Kumar ; Thirumalaraju, Prudhvi ; Bormann, Charles L ; Gupta, Raghav ; Pooniwala, Rohan ; Kandula, Hemanth ; Souter, Irene ; Dimitriadis, Irene ; Shafiee, Hadi
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2020-05
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Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological quality
Author / Creator:Thirumalaraju, Prudhvi ; Kanakasabapathy, Manoj Kumar ; Bormann, Charles L ; Gupta, Raghav ; Pooniwala, Rohan ; Kandula, Hemanth ; Souter, Irene ; Dimitriadis, Irene ; Shafiee, Hadi
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2020-05
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Performance of a deep learning based neural network in the selection of human blastocysts for implantation

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Automated smartphone-based system for measuring sperm viability, DNA fragmentation, and hyaluronic binding assay score

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The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status

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The impact of anti-Müllerian hormone on endometrial thickness in gonadotropin stimulation/intrauterine insemination cycles: is there an effect on pregnancy outcomes?

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Artificial intelligence and machine learning for human reproduction and embryology presented at ASRM and ESHRE 2018

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Live birth outcomes following single-step blastocyst warming technique – optimizing efficiency without impacting live birth rates

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Advancements in the future of automating micromanipulation techniques in the IVF laboratory using deep convolutional neural networks

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The effect of semen collection location and time to processing on sperm parameters and early IVF/ICSI outcomes

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Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI)

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Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory

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Müllerian-Inhibiting Substance/Anti-Müllerian Hormone as a Predictor of Preterm Birth in Polycystic Ovary Syndrome

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Using artificial intelligence to avoid human error in identifying embryos: a retrospective cohort study

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Response to ovulation induction treatments in women with polycystic ovary syndrome as a function of serum anti-Müllerian hormone levels

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Correction to: Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory

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Adaptive adversarial neural networks for the analysis of lossy and domain-shifted datasets of medical images

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Is the presence of a non-cleaved embryo on day 3 associated with poorer quality of the remaining embryos in the cohort?

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Is the presence of an uncleaved embryo on day 3 a useful predictor of outcomes following day 5 transfer?

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Digitising the human embryo

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Deep learning mediated single time-point image-based prediction of embryo developmental outcome at the cleavage stage

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Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological quality

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