| Performance of a deep learning based neural network in the selection of human blastocysts for implantation CL Bormann, MK Kanakasabapathy, P Thirumalaraju, R Gupta, ... Elife 9, e55301, 2020 | 89 | 2020 |
| Consistency and objectivity of automated embryo assessments using deep neural networks CL Bormann, P Thirumalaraju, MK Kanakasabapathy, H Kandula, I Souter, ... Fertility and sterility 113 (4), 781-787. e1, 2020 | 72 | 2020 |
| Development and evaluation of inexpensive automated deep learning-based imaging systems for embryology MK Kanakasabapathy, P Thirumalaraju, CL Bormann, H Kandula, ... Lab on a Chip 19 (24), 4139-4145, 2019 | 48 | 2019 |
| Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological quality P Thirumalaraju, MK Kanakasabapathy, CL Bormann, R Gupta, ... Heliyon 7 (2), 2021 | 44 | 2021 |
| SARS‐CoV‐2 RNA detection by a cellphone‐based amplification‐free system with CRISPR/CAS‐dependent enzymatic (CASCADE) assay FSR Silva, E Erdogmus, A Shokr, H Kandula, P Thirumalaraju, ... Advanced materials technologies 6 (12), 2100602, 2021 | 40 | 2021 |
| An inexpensive smartphone-based device for point-of-care ovulation testing V Potluri, PS Kathiresan, H Kandula, P Thirumalaraju, ... Lab on a Chip 19 (1), 59-67, 2019 | 37 | 2019 |
| Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory CL Bormann, CL Curchoe, P Thirumalaraju, MK Kanakasabapathy, ... Journal of Assisted Reproduction and Genetics 38, 1641-1646, 2021 | 30 | 2021 |
| Mobile health (mHealth) viral diagnostics enabled with adaptive adversarial learning A Shokr, LGC Pacheco, P Thirumalaraju, MK Kanakasabapathy, J Gandhi, ... ACS nano 15 (1), 665-673, 2020 | 27 | 2020 |
| Should there be an “AI” in TEAM? Embryologists selection of high implantation potential embryos improves with the aid of an artificial intelligence algorithm VW Fitz, MK Kanakasabapathy, P Thirumalaraju, H Kandula, LB Ramirez, ... Journal of Assisted Reproduction and Genetics 38, 2663-2670, 2021 | 25 | 2021 |
| Adaptive adversarial neural networks for the analysis of lossy and domain-shifted datasets of medical images MK Kanakasabapathy, P Thirumalaraju, H Kandula, F Doshi, ... Nature biomedical engineering 5 (6), 571-585, 2021 | 24 | 2021 |
| Automated smartphone-based system for measuring sperm viability, DNA fragmentation, and hyaluronic binding assay score I Dimitriadis, C L. Bormann, MK Kanakasabapathy, P Thirumalaraju, ... PLoS One 14 (3), e0212562, 2019 | 23 | 2019 |
| Human sperm morphology analysis using smartphone microscopy and deep learning P Thirumalaraju, MK Kanakasabapathy, CL Bormann, H Kandula, ... Fertility and Sterility 112 (3), e41, 2019 | 20 | 2019 |
| Automated quality assessment of individual embryologists performing ICSI using deep learning-enabled fertilization and embryo grading technology P Thirumalaraju, MK Kanakasabapathy, R Gupta, R Pooniwala, ... Fertility and Sterility 112 (3), e71, 2019 | 7 | 2019 |
| Improving cross-lingual sentiment analysis via conditional language adversarial nets H Kandula, B Min Proceedings of the Third Workshop on Computational Typology and Multilingual …, 2021 | 6 | 2021 |
| Deep learning mediated single time-point image-based prediction of embryo developmental outcome at the cleavage stage MK Kanakasabapathy, P Thirumalaraju, CL Bormann, R Gupta, ... arXiv preprint arXiv:2006.08346, 2020 | 6 | 2020 |
| Advancements in the future of automating micromanipulation techniques in the IVF laboratory using deep convolutional neural networks VS Jiang, D Kartik, P Thirumalaraju, H Kandula, MK Kanakasabapathy, ... Journal of Assisted Reproduction and Genetics 40 (2), 251-257, 2023 | 5 | 2023 |
| Improved monitoring of human embryo culture conditions using a deep learning-derived key performance indicator (KPI) MK Kanakasabapathy, P Thirumalaraju, R Gupta, R Pooniwala, ... Fertility and Sterility 112 (3), e70-e71, 2019 | 5 | 2019 |
| The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status VS Jiang, H Kandula, P Thirumalaraju, MK Kanakasabapathy, ... Journal of Assisted Reproduction and Genetics 40 (2), 301-308, 2023 | 4 | 2023 |
| Using artificial intelligence to avoid human error in identifying embryos: a retrospective cohort study KC Hammer, VS Jiang, MK Kanakasabapathy, P Thirumalaraju, ... Journal of Assisted Reproduction and Genetics 39 (10), 2343-2348, 2022 | 4 | 2022 |
| Can deep convolutional neural network (CNN) be used as a non-invasive method to replace preimplantation genetic testing for aneuploidy (PGT-A)? A Meyer, J Dickinson, N Kelly, H Kandula, M Kanakasabapathy, ... Human reproduction 35, I238-I238, 2020 | 4 | 2020 |
Manoj Kumar KanakasabapathyResearcher, Brigham and Women's Hospital, Harvard Medical Schoolbwh.harvard.edu üzerinde doğrulanmış e-posta adresine sahip
