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A machine-learning based objective measure for ALS disease severity.
Vieira FG, Venugopalan S, Premasiri AS, McNally M, Jansen A, McCloskey K, Brenner MP, Perrin S. Vieira FG, et al. Among authors: venugopalan s. NPJ Digit Med. 2022 Apr 8;5(1):45. doi: 10.1038/s41746-022-00588-8. NPJ Digit Med. 2022. PMID: 35396385 Free PMC article.
Predicting the risk of developing diabetic retinopathy using deep learning.
Bora A, Balasubramanian S, Babenko B, Virmani S, Venugopalan S, Mitani A, de Oliveira Marinho G, Cuadros J, Ruamviboonsuk P, Corrado GS, Peng L, Webster DR, Varadarajan AV, Hammel N, Liu Y, Bavishi P. Bora A, et al. Among authors: venugopalan s. Lancet Digit Health. 2021 Jan;3(1):e10-e19. doi: 10.1016/S2589-7500(20)30250-8. Epub 2020 Nov 26. Lancet Digit Health. 2021. PMID: 33735063 Free article.
Detection of anaemia from retinal fundus images via deep learning.
Mitani A, Huang A, Venugopalan S, Corrado GS, Peng L, Webster DR, Hammel N, Liu Y, Varadarajan AV. Mitani A, et al. Among authors: venugopalan s. Nat Biomed Eng. 2020 Jan;4(1):18-27. doi: 10.1038/s41551-019-0487-z. Epub 2019 Dec 23. Nat Biomed Eng. 2020. PMID: 31873211
Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts.
Schiff L, Migliori B, Chen Y, Carter D, Bonilla C, Hall J, Fan M, Tam E, Ahadi S, Fischbacher B, Geraschenko A, Hunter CJ, Venugopalan S, DesMarteau S, Narayanaswamy A, Jacob S, Armstrong Z, Ferrarotto P, Williams B, Buckley-Herd G, Hazard J, Goldberg J, Coram M, Otto R, Baltz EA, Andres-Martin L, Pritchard O, Duren-Lubanski A, Daigavane A, Reggio K; NYSCF Global Stem Cell Array® Team; Nelson PC, Frumkin M, Solomon SL, Bauer L, Aiyar RS, Schwarzbach E, Noggle SA, Monsma FJ Jr, Paull D, Berndl M, Yang SJ, Johannesson B. Schiff L, et al. Among authors: venugopalan s. Nat Commun. 2022 Mar 25;13(1):1590. doi: 10.1038/s41467-022-28423-4. Nat Commun. 2022. PMID: 35338121 Free PMC article.
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning.
Varadarajan AV, Bavishi P, Ruamviboonsuk P, Chotcomwongse P, Venugopalan S, Narayanaswamy A, Cuadros J, Kanai K, Bresnick G, Tadarati M, Silpa-Archa S, Limwattanayingyong J, Nganthavee V, Ledsam JR, Keane PA, Corrado GS, Peng L, Webster DR. Varadarajan AV, et al. Among authors: venugopalan s. Nat Commun. 2020 Jan 8;11(1):130. doi: 10.1038/s41467-019-13922-8. Nat Commun. 2020. PMID: 31913272 Free PMC article. Clinical Trial.
Applying Deep Neural Network Analysis to High-Content Image-Based Assays.
Yang SJ, Lipnick SL, Makhortova NR, Venugopalan S, Fan M, Armstrong Z, Schlaeger TM, Deng L, Chung WK, O'Callaghan L, Geraschenko A, Whye D, Berndl M, Hazard J, Williams B, Narayanaswamy A, Ando DM, Nelson P, Rubin LL. Yang SJ, et al. Among authors: venugopalan s. SLAS Discov. 2019 Sep;24(8):829-841. doi: 10.1177/2472555219857715. Epub 2019 Jul 8. SLAS Discov. 2019. PMID: 31284814 Free PMC article.
Batch equalization with a generative adversarial network.
Qian WW, Xia C, Venugopalan S, Narayanaswamy A, Dimon M, Ashdown GW, Baum J, Peng J, Ando DM. Qian WW, et al. Among authors: venugopalan s. Bioinformatics. 2020 Dec 30;36(Suppl_2):i875-i883. doi: 10.1093/bioinformatics/btaa819. Bioinformatics. 2020. PMID: 33381813
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description.
Donahue J, Hendricks LA, Rohrbach M, Venugopalan S, Guadarrama S, Saenko K, Darrell T. Donahue J, et al. Among authors: venugopalan s. IEEE Trans Pattern Anal Mach Intell. 2017 Apr;39(4):677-691. doi: 10.1109/TPAMI.2016.2599174. Epub 2016 Sep 1. IEEE Trans Pattern Anal Mach Intell. 2017. PMID: 27608449
65 results