Author

Hemanth Kandula

Observed names: H Kandula, H. Kandula, Kandula, Hemanth

Institutions: Brigham and Women's Hospital, Harvard University

Observed institutions: Tufts University, Brigham and Women's Hospital, RTX (United States), Harvard University

ORCID: 0000-0003-4573-6727

Observed ORCID: 0000-0003-4573-6727

OpenAlex ID: A5049763540

Performance of a deep learning based neural network in the selection of human blastocysts for implantation

2020 · Charles L Bormann, Manoj Kumar Kanakasabapathy, et al. · eLife · 156

Consistency and objectivity of automated embryo assessments using deep neural networks

2020 · Charles L. Bormann, Prudhvi Thirumalaraju, et al. · Fertility and Sterility · 115

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

2021 · Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, et al. · Heliyon · 81

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SARS‐CoV‐2 RNA Detection by a Cellphone‐Based Amplification‐Free System with CRISPR/CAS‐Dependent Enzymatic (CASCADE) Assay

2021 · Filipe S. R. Silva, Eda Erdogmus, et al. · Advanced Materials Technologies · 73

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Should there be an “AI” in TEAM? Embryologists selection of high implantation potential embryos improves with the aid of an artificial intelligence algorithm

2021 · V. W. Fitz, M. K. Kanakasabapathy, et al. · Journal of Assisted Reproduction and Genetics · 54

An inexpensive smartphone-based device for point-of-care ovulation testing

2018 · Vaishnavi Potluri, Preethi Sangeetha Kathiresan, et al. · Lab on a Chip · 50

Development and evaluation of inexpensive automated deep learning-based imaging systems for embryology

2019 · Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, et al. · Lab on a Chip · 49

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

2021 · Charles L. Bormann, Carol Lynn Curchoe, et al. · Journal of Assisted Reproduction and Genetics · 47

Mobile Health (mHealth) Viral Diagnostics Enabled with Adaptive Adversarial Learning

2020 · Ahmed Shokr, Luis G. C. Pacheco, et al. · ACS Nano · 45

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

2021 · Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, et al. · Nature Biomedical Engineering · 43

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

2019 · Irene Dimitriadis, Charles L. Bormann, et al. · PLoS ONE · 32

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

2022 · Victoria S. Jiang, Deeksha Kartik, et al. · Journal of Assisted Reproduction and Genetics · 24

Human sperm morphology analysis using smartphone microscopy and deep learning

2019 · Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, et al. · Fertility and Sterility · 24

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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

2023 · Victoria S. Jiang, Hemanth Kandula, et al. · Journal of Assisted Reproduction and Genetics · 20

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

2022 · Karissa C. Hammer, Victoria S. Jiang, et al. · Journal of Assisted Reproduction and Genetics · 17

Ultrasensitive and long-lasting bioluminescence immunoassay for point-of-care viral antigen detection

2025 · Sungwan Kim, Giwon Cho, et al. · Nature Biomedical Engineering · 16

Stability and reliability of artificial intelligence models in embryo selection for in vitro fertilization

2025 · Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, et al. · Fertility and Sterility · 13

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

2020 · Kanakasabapathy, Manoj Kumar, Thirumalaraju, Prudhvi, et al. · arXiv (Cornell University) · 11

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Automated quality assessment of individual embryologists performing ICSI using deep learning-enabled fertilization and embryo grading technology

2019 · Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, et al. · Fertility and Sterility · 9

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Reducing hepatitis C diagnostic disparities with a fully automated deep learning–enabled microfluidic system for HCV antigen detection

2025 · Hui Chen, Yuxin Gao, et al. · Science Advances · 6

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Deep learning-enabled prediction of fertilization based on oocyte morphological quality

2019 · Prudhvi Thirumalaraju, Charles L. Bormann, et al. · Fertility and Sterility · 6

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Validation of a smartphone-based device to measure concentration, motility, and morphology in swine ejaculates

2022 · Aridany Suárez-Trujillo, Hemanth Kandula, et al. · Translational Animal Science · 5

Improving Cross-Lingual Sentiment Analysis via Conditional Language Adversarial Nets

2021 · Hemanth Kandula, Bonan Min · 5

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Comparing remote smartphone-based semen assessments with laboratory evaluations in men unselected for fertility concerns

2025 · Makiko Mitsunami, Hemanth Kandula, et al. · Fertility and Sterility · 4

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Improved monitoring of human embryo culture conditions using a deep learning-derived key performance indicator (KPI)

2019 · Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, et al. · Fertility and Sterility · 4

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Works count: 41

Citation count: 916

H-index: 16

I10-index: 18