| An automated smartphone-based diagnostic assay for point-of-care semen analysis MK Kanakasabapathy, M Sadasivam, A Singh, C Preston, ... Science translational medicine 9 (382), eaai7863, 2017 | 172 | 2017 |
| 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 |
| Motion-based immunological detection of Zika virus using Pt-nanomotors and a cellphone MS Draz, NK Lakshminaraasimulu, S Krishnakumar, D Battalapalli, ... ACS nano 12 (6), 5709-5718, 2018 | 87 | 2018 |
| 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 |
| Rapid real-time antimicrobial susceptibility testing with electrical sensing on plastic microchips with printed electrodes M Safavieh, HJ Pandya, M Venkataraman, P Thirumalaraju, ... ACS applied materials & interfaces 9 (14), 12832-12840, 2017 | 65 | 2017 |
| Virus detection using nanoparticles and deep neural network–enabled smartphone system MS Draz, A Vasan, A Muthupandian, MK Kanakasabapathy, ... Science Advances 6 (51), eabd5354, 2020 | 53 | 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 |
| Automated sperm morpshology testing using artificial intelligence P Thirumalaraju, CL Bormann, M Kanakasabapathy, F Doshi, I Souter, ... Fertility and sterility 110 (4), e432, 2018 | 31 | 2018 |
| 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 | 29 | 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 |
| Enhancing healthcare using m-care box (monitoring non-compliance of medication) SA Bharadwaj, D Yarravarapu, SCK Reddy, T Prudhvi, KSP Sandeep, ... 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics …, 2017 | 26 | 2017 |
| 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 | 24 | 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 |
| Deep learning-enabled blastocyst prediction system for cleavage stage embryo selection P Thirumalaraju, JY Hsu, CL Bormann, M Kanakasabapathy, I Souter, ... Fertility and sterility 111 (4), e29, 2019 | 19 | 2019 |
| Artificial intelligence-enabled system for embryo classification and selection based on image analysis I Dimitriadis, CL Bormann, P Thirumalaraju, M Kanakasabapathy, ... Fertility and sterility 111 (4), e21, 2019 | 17 | 2019 |
Manoj Kumar KanakasabapathyResearcher, Brigham and Women's Hospital, Harvard Medical Schoolbwh.harvard.edu üzerinde doğrulanmış e-posta adresine sahip
