Manoj Kumar Kanakasabapathy
Harvard University
H-index: 20
North America-United States
Top articles of Manoj Kumar Kanakasabapathy
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Automated evaluation of human embryos | 2023/11/14 | ||
Automated evaluation of sperm morphology | 2024/3/12 | ||
Advancements in the future of automating micromanipulation techniques in the IVF laboratory using deep convolutional neural networks | Journal of Assisted Reproduction and Genetics | Victoria S Jiang Deeksha Kartik Prudhvi Thirumalaraju Hemanth Kandula Manoj Kumar Kanakasabapathy | 2023/2 |
Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI) | Journal of Assisted Reproduction and Genetics | Panagiotis Cherouveim Victoria S Jiang Manoj Kumar Kanakasabapathy Prudhvi Thirumalaraju Irene Souter | 2023/2 |
Determining locations in reproductive cellular structures | 2023/10/12 | ||
Automated aneuploidy screening using arbitrated ensembles | 2023/10/12 | ||
Adaptive neural networks for analyzing medical images | 2023/7/27 | ||
The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status | Journal of Assisted Reproduction and Genetics | Victoria S Jiang Hemanth Kandula Prudhvi Thirumalaraju Manoj Kumar Kanakasabapathy Panagiotis Cherouveim | 2023/2 |
Validation of a smartphone-based device to measure concentration, motility, and morphology in swine ejaculates | Translational Animal Science | Aridany Suárez-Trujillo Hemanth Kandula Jasmine Kumar Anjali Devi Larissa Shirley | 2022/10/1 |
Using artificial intelligence to avoid human error in identifying embryos: a retrospective cohort study | Journal of Assisted Reproduction and Genetics | Karissa C Hammer Victoria S Jiang Manoj Kumar Kanakasabapathy Prudhvi Thirumalaraju Hemanth Kandula | 2022/10 |
P-294 Use of Artificial Intelligence to Assess the Effects of Assisted Hatching on Embryo Development and Implantation Potential | Human Reproduction | V Jiang C Bormann I Souter I Dimitriadis MK Kanakasabapathy | 2022/7/1 |
Digitising the human embryo | The Lancet | Hadi Shafiee Manoj Kumar Kanakasabapathy Charles L Bormann Eric J Topol | 2022/11/5 |
Automated evaluation of quality assurance metrics for assisted reproduction procedures | 2022/10/20 | ||
Automatic determination of a biological condition of a subject from ferning patterns | 2022/1/13 | ||
Deep learning-assisted sensitive detection of fentanyl using a bubbling-microchip | Lab on a Chip | Hui Chen Sungwan Kim Joseph Michael Hardie Prudhvi Thirumalaraju Supriya Gharpure | 2022 |
ANTAGONIST OR PROTAGONIST: ASSESSING STIMULATION PROTOCOLS THROUGH THE LENS OF ARTIFICIAL INTELLIGENCE | Fertility and Sterility | Victoria S Jiang Panagiotis Cherouveim Mackenzie N Naert Manoj Kanakasabapathy Prudhvi Thirumalaraju | 2022/10/1 |
O-125 Development of an artificial intelligence embryo witnessing system to accurately track and identify patient specific embryos in a human IVF laboratory | Human Reproduction | C Bormann M Kanakasabapathy P Thirumalaraju I Dimitriadis I Souter | 2021/7/1 |
SARS‐CoV‐2 RNA detection by a cellphone‐based amplification‐free system with CRISPR/CAS‐dependent enzymatic (CASCADE) assay | Advanced materials technologies | Filipe SR Silva Eda Erdogmus Ahmed Shokr Hemanth Kandula Prudhvi Thirumalaraju | 2021/12 |
Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory | Journal of Assisted Reproduction and Genetics | Charles L Bormann Carol Lynn Curchoe Prudhvi Thirumalaraju Manoj K Kanakasabapathy Raghav Gupta | 2021/7 |
Should there be an “AI” in TEAM? Embryologists selection of high implantation potential embryos improves with the aid of an artificial intelligence algorithm | Journal of Assisted Reproduction and Genetics | VW Fitz MK Kanakasabapathy P Thirumalaraju H Kandula LB Ramirez | 2021/10 |
Co-Authors
