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Author Title [ Type(Desc)] Year
Filters: Author is Turaga, Srinivas C.  [Clear All Filters]
Conference Paper
Mi L, Wang H, Meirovitch Y, Schalek R, Turaga SC, Lichtman JW, Samuel ADT, Shavit N.  2020.  Learning Guided Electron Microscopy with Active Acquisition. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020.
Journal Article
Berens P, Freeman J, Deneux T, Chenkov N, McColgan T, Speiser A, Macke JH, Turaga SC, Mineault P, Rupprecht P et al..  2018.  Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. PLOS Computational Biology. 14(5):e1006157.
Cocanougher BT, Wittenbach JD, Long XSalina, Kohn AB, Norekian TP, Yan J, Colonell J, Masson J-B, Truman JW, Cardona A et al..  2020.  Comparative single-cell transcriptomics of complete insect nervous systems. bioRxiv.
Speiser A, Müller L-R, Matti U, Obara CJ, Legant WR, Kreshuk A, Macke JH, Ries J, Turaga SC.  2021.  Deep learning enables fast and dense single-molecule localization with high accuracy. Nature Methods. 18(9)
Arthur BJ, Ding Y, Sosale M, Khalif F, Kim E, Waddell P, Turaga SC, Stern DL.  2021.  SongExplorer: A deep learning workflow for discovery and segmentation of animal acoustic communication signals. bioRxiv.
Speiser A, Müller L-R, Matti U, Obara CJ, Legant WR, Ries J, Macke JH, Turaga SC.  2019.  Teaching deep neural networks to localize single molecules for super-resolution microscopy. arXiv e-prints. :arXiv:1907.00770.
Miscellaneous
Deb D, Jiao Z, Chen AB, Broxton M, Ahrens MB, Podgorski K, Turaga SC.  2021.  Programmable 3D snapshot microscopy with Fourier convolutional networks.