Biblio

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Author Title Type [ Year(Asc)]
Filters: Author is Srinivas C. Turaga  [Clear All Filters]
2024
Lappalainen JK, Tschopp FD, Prakhya S, McGill M, Nern A, Shinomiya K, Takemura S-ya, Gruntman E, Macke JH, Turaga SC.  2024.  Connectome-constrained networks predict neural activity across the fly visual system. Nature.
2020
Speiser A, Müller L-R, Matti U, Obara CJ, Legant WR, Ries J, Macke JH, Turaga SC.  2020.  Teaching deep neural networks to localize single molecules for super-resolution microscopy.
2019
Im DJiwoong, Prakhya S, Yan J, Turaga SC, Branson K.  2019.  Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data. CoRR. abs/1906.03214
2017
Parag T, Tschopp F, Grisaitis W, Turaga SC, Zhang X, Matejek B, Kamentsky L, Lichtman JW, Pfister H.  2017.  Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration. CoRR. abs/1707.08935
2011
Jain V, Turaga SC, Briggman K, Helmstaedter MN, Denk W, Seung H.S.  2011.  Learning to Agglomerate Superpixel Hierarchies. Advances in Neural Information Processing Systems 24 (NIPS 2011). 24
2009
Turaga SC, Briggman K, Helmstaedter MN, Denk W, Seung S.  2009.  Maximin affinity learning of image segmentation. Advances in Neural Information Processing Systems 22 (NIPS 2009). 22
2003
Turaga SC, Auerbach SM.  2003.  Calculating free energies for diffusion in tight-fitting zeolite-guest systems: Local normal-mode Monte Carlo. Journal of Chemical Physics. 118(6512)