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Manoj Kumar Kanakasabapathy

Showing results (1-10 of 31) with videos related to

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Biosensors & Bioelectronics|February 7, 2016
Electrical response of a B lymphoma cell line latently infected with Kaposi's sarcoma herpesvirusMohammadali Safavieh, Sultan Khetani, Franceline Juillard, et al.
Biosensors & Bioelectronics|December 18, 2016
Label-free electrical sensing of bacteria in eye wash samples: A step towards point-of-care detection of pathogens in patients with infectious keratitisHardik J Pandya, Manoj Kumar Kanakasabapathy, Saloni Verma, et al.
Journal of Assisted Reproduction and Genetics|November 14, 2022
Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI)Panagiotis Cherouveim, Victoria S Jiang, Manoj Kumar Kanakasabapathy, et al.
Fertility and Sterility|April 2, 2020
Consistency and objectivity of automated embryo assessments using deep neural networksCharles L Bormann, Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, et al.
Translational Animal Science|October 20, 2022
Validation of a smartphone-based device to measure concentration, motility, and morphology in swine ejaculatesAridany Suárez-Trujillo, Hemanth Kandula, Jasmine Kumar, et al.
Heliyon|March 5, 2021
Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological qualityPrudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, Charles L Bormann, et al.
ACS Applied Materials & Interfaces|March 15, 2017
Rapid Real-Time Antimicrobial Susceptibility Testing with Electrical Sensing on Plastic Microchips with Printed ElectrodesMohammadali Safavieh, Hardik J Pandya, Maanasa Venkataraman, et al.
Journal of Assisted Reproduction and Genetics|December 31, 2022
Advancements in the future of automating micromanipulation techniques in the IVF laboratory using deep convolutional neural networksVictoria S Jiang, Deeksha Kartik, Prudhvi Thirumalaraju, et al.
Journal of Assisted Reproduction and Genetics|January 14, 2023
The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy statusVictoria S Jiang, Hemanth Kandula, Prudhvi Thirumalaraju, et al.
Journal of Assisted Reproduction and Genetics|August 13, 2022
Using artificial intelligence to avoid human error in identifying embryos: a retrospective cohort studyKarissa C Hammer, Victoria S Jiang, Manoj Kumar Kanakasabapathy, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Biosensors & Bioelectronics|February 7, 2016
Electrical response of a B lymphoma cell line latently infected with Kaposi's sarcoma herpesvirusMohammadali Safavieh, Sultan Khetani, Franceline Juillard, et al.
Biosensors & Bioelectronics|December 18, 2016
Label-free electrical sensing of bacteria in eye wash samples: A step towards point-of-care detection of pathogens in patients with infectious keratitisHardik J Pandya, Manoj Kumar Kanakasabapathy, Saloni Verma, et al.
Journal of Assisted Reproduction and Genetics|November 14, 2022
Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI)Panagiotis Cherouveim, Victoria S Jiang, Manoj Kumar Kanakasabapathy, et al.
Fertility and Sterility|April 2, 2020
Consistency and objectivity of automated embryo assessments using deep neural networksCharles L Bormann, Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, et al.
Translational Animal Science|October 20, 2022
Validation of a smartphone-based device to measure concentration, motility, and morphology in swine ejaculatesAridany Suárez-Trujillo, Hemanth Kandula, Jasmine Kumar, et al.
Heliyon|March 5, 2021
Evaluation of deep convolutional neural networks in classifying human embryo images based on their morphological qualityPrudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, Charles L Bormann, et al.
ACS Applied Materials & Interfaces|March 15, 2017
Rapid Real-Time Antimicrobial Susceptibility Testing with Electrical Sensing on Plastic Microchips with Printed ElectrodesMohammadali Safavieh, Hardik J Pandya, Maanasa Venkataraman, et al.
Journal of Assisted Reproduction and Genetics|December 31, 2022
Advancements in the future of automating micromanipulation techniques in the IVF laboratory using deep convolutional neural networksVictoria S Jiang, Deeksha Kartik, Prudhvi Thirumalaraju, et al.
Journal of Assisted Reproduction and Genetics|January 14, 2023
The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy statusVictoria S Jiang, Hemanth Kandula, Prudhvi Thirumalaraju, et al.
Journal of Assisted Reproduction and Genetics|August 13, 2022
Using artificial intelligence to avoid human error in identifying embryos: a retrospective cohort studyKarissa C Hammer, Victoria S Jiang, Manoj Kumar Kanakasabapathy, et al.
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