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Narayanan Kasthuri
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2020 – today
- 2022
- [c7]Anish A. Sarma, Jing Shuang Lisa Li, Josefin Stenberg, Gwyneth Card, Elizabeth S. Heckscher, Narayanan Kasthuri, Terrence J. Sejnowski, John C. Doyle:
Internal Feedback in Biological Control: Architectures and Examples. ACC 2022: 456-461 - 2021
- [j10]Sean Foxley, Vandana Sampathkumar, Vincent De Andrade, Scott Trinkle, Anastasia Sorokina, Katrina Norwood, Patrick La Riviere, Narayanan Kasthuri:
Multi-modal imaging of a single mouse brain over five orders of magnitude of resolution. NeuroImage 238: 118250 (2021) - [j9]Scott Trinkle, Sean Foxley, Gregg A. Wildenberg, Narayanan Kasthuri, Patrick La Riviere:
The role of spatial embedding in mouse brain networks constructed from diffusion tractography and tracer injections. NeuroImage 244: 118576 (2021) - [j8]Viktor V. Nikitin, Vincent De Andrade, Azat Slyamov, Benjamin J. Gould, Yuepeng Zhang, Vandana Sampathkumar, Narayanan Kasthuri, Doga Gürsoy, Francesco De Carlo:
Distributed Optimization for Nonrigid Nano-Tomography. IEEE Trans. Computational Imaging 7: 272-287 (2021) - [c6]Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister:
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. MICCAI (1) 2021: 175-185 - [i12]Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister:
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. CoRR abs/2107.05451 (2021) - [i11]Josefin Stenberg, Jing Shuang Li, Anish A. Sarma, Terrence J. Sejnowski, Gwyneth Card, Elizabeth S. Heckscher, Narayanan Kasthuri, John C. Doyle:
Locality, Delays, and Internal Feedback in Sensorimotor Control Part 1: Motivation and Introductory Theory. CoRR abs/2109.11752 (2021) - 2020
- [c5]Rafael Vescovi, Hanyu Li, Jeffery Kinnison, Murat Keçeli, Misha Salim, Narayanan Kasthuri, Thomas D. Uram, Nicola J. Ferrier:
Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data. XLOOP@SC 2020: 16-22 - [i10]Viktor V. Nikitin, Vincent De Andrade, Azat Slyamov, Benjamin J. Gould, Yuepeng Zhang, Vandana Sampathkumar, Narayanan Kasthuri, Doga Gürsoy, Francesco De Carlo:
Distributed optimization for nonrigid nano-tomography. CoRR abs/2008.03375 (2020) - [i9]Rafael Vescovi, Hanyu Li, Jeffery Kinnison, Murat Keçeli, Misha Salim, Narayanan Kasthuri, Thomas D. Uram, Nicola J. Ferrier:
Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data. CoRR abs/2011.03204 (2020)
2010 – 2019
- 2019
- [c4]Wushi Dong, Nicola J. Ferrier, Narayanan Kasthuri, Peter Littlewood, Murat Keçeli, Rafael Vescovi, Hanyu Li, Corey Adams, Elise Jennings, Samuel Flender, Thomas D. Uram, Venkatram Vishwanath:
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping. DLS@SC 2019: 52-61 - 2018
- [j7]Kristofer E. Bouchard, James B. Aimone, Miyoung Chun, Thomas Dean, Michael Denker, Markus Diesmann, David Donofrio, Loren M. Frank, Narayanan Kasthuri, Christof Koch, Oliver Rübel, Horst D. Simon, Friedrich T. Sommer, Prabhat:
International Neuroscience Initiatives through the Lens of High-Performance Computing. Computer 51(4): 50-59 (2018) - [c3]Ryan Chard, Rafael Vescovi, Ming Du, Hanyu Li, Kyle Chard, Steven Tuecke, Narayanan Kasthuri, Ian T. Foster:
High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation. AI-Science@HPDC 2018: 1:1-1:7 - 2016
- [j6]Ali K. Al-Awami, Johanna Beyer, Daniel Haehn, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister, Markus Hadwiger:
NeuroBlocks - Visual Tracking of Segmentation and Proofreading for Large Connectomics Projects. IEEE Trans. Vis. Comput. Graph. 22(1): 738-746 (2016) - [i8]William R. Gray Roncal, Eva L. Dyer, Doga Gürsoy, Konrad P. Körding, Narayanan Kasthuri:
From sample to knowledge: Towards an integrated approach for neuroscience discovery. CoRR abs/1604.03199 (2016) - [i7]Eva L. Dyer, William R. Gray Roncal, Hugo L. Fernandes, Doga Gürsoy, Xianghui Xiao, Joshua T. Vogelstein, Chris Jacobsen, Konrad P. Körding, Narayanan Kasthuri:
Quantifying mesoscale neuroanatomy using X-ray microtomography. CoRR abs/1604.03629 (2016) - [i6]Seymour Knowles-Barley, Verena Kaynig, Thouis Ray Jones, Alyssa Wilson, Joshua Morgan, Dongil Lee, Daniel R. Berger, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister:
RhoanaNet Pipeline: Dense Automatic Neural Annotation. CoRR abs/1611.06973 (2016) - 2015
- [j5]Verena Kaynig, Amelio Vázquez Reina, Seymour Knowles-Barley, Mike Roberts, Thouis R. Jones, Narayanan Kasthuri, Eric L. Miller, Jeff Lichtman, Hanspeter Pfister:
Large-scale automatic reconstruction of neuronal processes from electron microscopy images. Medical Image Anal. 22(1): 77-88 (2015) - 2014
- [j4]Ali K. Al-Awami, Johanna Beyer, Hendrik Strobelt, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister, Markus Hadwiger:
NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity. IEEE Trans. Vis. Comput. Graph. 20(12): 2369-2378 (2014) - [j3]Daniel Haehn, Seymour Knowles-Barley, Mike Roberts, Johanna Beyer, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister:
Design and Evaluation of Interactive Proofreading Tools for Connectomics. IEEE Trans. Vis. Comput. Graph. 20(12): 2466-2475 (2014) - [i5]William R. Gray Roncal, Verena Kaynig-Fittkau, Narayanan Kasthuri, Daniel R. Berger, Joshua T. Vogelstein, Lindsey R. Fernandez, Jeff W. Lichtman, R. Jacob Vogelstein, Hanspeter Pfister, Gregory D. Hager:
Volumetric Exploitation of Synaptic Information using Context Localization and Evaluation. CoRR abs/1403.3724 (2014) - [i4]Ayushi Sinha, William R. Gray Roncal, Narayanan Kasthuri, Ming Chuang, Priya Manavalan, Dean Kleissas, Joshua T. Vogelstein, R. Jacob Vogelstein, Randal C. Burns, Jeff W. Lichtman, Michael M. Kazhdan:
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes. CoRR abs/1404.4800 (2014) - [i3]Ayushi Sinha, William R. Gray Roncal, Narayanan Kasthuri, Jeff W. Lichtman, Randal C. Burns, Michael M. Kazhdan:
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data. CoRR abs/1405.1965 (2014) - 2013
- [j2]Johanna Beyer, Markus Hadwiger, Ali K. Al-Awami, Won-Ki Jeong, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister:
Exploring the Connectome: Petascale Volume Visualization of Microscopy Data Streams. IEEE Computer Graphics and Applications 33(4): 50-61 (2013) - [j1]Johanna Beyer, Ali K. Al-Awami, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister, Markus Hadwiger:
ConnectomeExplorer: Query-Guided Visual Analysis of Large Volumetric Neuroscience Data. IEEE Trans. Vis. Comput. Graph. 19(12): 2868-2877 (2013) - [c2]Randal C. Burns, Kunal Lillaney, Daniel R. Berger, Logan Grosenick, Karl Deisseroth, R. Clay Reid, William R. Gray Roncal, Priya Manavalan, Davi Bock, Narayanan Kasthuri, Michael M. Kazhdan, Stephen J. Smith, Dean Kleissas, Eric A. Perlman, Kwanghun Chung, Nicholas C. Weiler, Jeff Lichtman, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein:
The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience. SSDBM 2013: 27:1-27:11 - [i2]Verena Kaynig, Amelio Vázquez Reina, Seymour Knowles-Barley, Mike Roberts, Thouis R. Jones, Narayanan Kasthuri, Eric L. Miller, Jeff Lichtman, Hanspeter Pfister:
Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy Images. CoRR abs/1303.7186 (2013) - [i1]Randal C. Burns, William R. Gray Roncal, Dean Kleissas, Kunal Lillaney, Priya Manavalan, Eric A. Perlman, Daniel R. Berger, Davi Bock, Kwanghun Chung, Logan Grosenick, Narayanan Kasthuri, Nicholas C. Weiler, Karl Deisseroth, Michael M. Kazhdan, Jeff Lichtman, R. Clay Reid, Stephen J. Smith, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein:
The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience. CoRR abs/1306.3543 (2013) - 2010
- [c1]Viren Jain, Benjamin Bollmann, Mark Richardson, Daniel R. Berger, Moritz Helmstaedter, Kevin L. Briggman, Winfried Denk, Jared B. Bowden, John M. Mendenhall, Wickliffe C. Abraham, Kristen M. Harris, Narayanan Kasthuri, Ken J. Hayworth, Richard Schalek, Juan Carlos Tapia, Jeff W. Lichtman, H. Sebastian Seung:
Boundary Learning by Optimization with Topological Constraints. CVPR 2010: 2488-2495
Coauthor Index
aka: Jeff W. Lichtman
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