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Programmable 3D snapshot microscopy with Fourier convolutional networks


Apr 21, 2021
Diptodip Deb, Zhenfei Jiao, Alex B. Chen, Misha B. Ahrens, Kaspar Podgorski, Srinivas C. Turaga


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Learning Guided Electron Microscopy with Active Acquisition


Jan 07, 2021
Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit

* MICCAI 2020 

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Teaching deep neural networks to localize sources in super-resolution microscopy by combining simulation-based learning and unsupervised learning


Jun 27, 2019
Artur Speiser, Srinivas C. Turaga, Jakob H. Macke


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A Connectome Based Hexagonal Lattice Convolutional Network Model of the Drosophila Visual System


Jun 24, 2018
Fabian David Tschopp, Michael B. Reiser, Srinivas C. Turaga

* Work in progress. Final paper with results from an updated model with new connectome data will be coming soon 

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Discrete flow posteriors for variational inference in discrete dynamical systems


May 28, 2018
Laurence Aitchison, Vincent Adam, Srinivas C. Turaga


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Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations


Nov 06, 2017
Marcel Nonnenmacher, Srinivas C. Turaga, Jakob H. Macke


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Fast amortized inference of neural activity from calcium imaging data with variational autoencoders


Nov 06, 2017
Artur Speiser, Jinyao Yan, Evan Archer, Lars Buesing, Srinivas C. Turaga, Jakob H. Macke

* NIPS 2017 

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A Deep Structured Learning Approach Towards Automating Connectome Reconstruction from 3D Electron Micrographs


Sep 24, 2017
Jan Funke, Fabian David Tschopp, William Grisaitis, Arlo Sheridan, Chandan Singh, Stephan Saalfeld, Srinivas C. Turaga


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Maximin affinity learning of image segmentation


Nov 28, 2009
Srinivas C. Turaga, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung


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