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The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience.

R. Burns, K. Lillaney, D. Berger, L. Grosenick, K. Deisseroth, R. Reid, W. Roncal, P. Manavalan, D. Bock, N. Kasthuri, M. Kazhdan, S. Smith, D. Kleissas, E. Perlman, K. Chung, N. Weiler, J. Lichtman, A. Szalay, J. Vogelstein, and R. Vogelstein. SSDBM, page 27:1-27:11. ACM, (2013)

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Jeff Berens

Jeff Bezanson

Dennis Jeffrey

Jeff Jay

Jeff Tian

Other publications of authors with the same name

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions.D. Wei, K. Lee, H. Li, R. Lu, J. Bae, Z. Liu, L. Zhang, M. dos Santos, Z. Lin, T. Uram and 6 other author(s). MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 175-185. Springer, (2021)The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience.R. Burns, K. Lillaney, D. Berger, L. Grosenick, K. Deisseroth, R. Reid, W. Roncal, P. Manavalan, D. Bock, N. Kasthuri and 10 other author(s). SSDBM, page 27:1-27:11. ACM, (2013)Two Stream Active Query Suggestion for Active Learning in Connectomics.Z. Lin, D. Wei, W. Jang, S. Zhou, X. Chen, X. Wang, R. Schalek, D. Berger, B. Matejek, L. Kamentsky and 6 other author(s). ECCV (18), volume 12363 of Lecture Notes in Computer Science, page 103-120. Springer, (2020)NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale.Z. Lin, D. Wei, M. Petkova, Y. Wu, Z. Ahmed, K. K, S. Zou, N. Wendt, J. Boulanger-Weill, X. Wang and 5 other author(s). MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 164-174. Springer, (2021)Demand-driven volume rendering of terascale EM data.J. Beyer, M. Hadwiger, W. Jeong, H. Pfister, and J. Lichtman. SIGGRAPH Talks, page 57. ACM, (2011)Segmentation fusion for connectomics.A. Reina, M. Gelbart, D. Huang, J. Lichtman, E. Miller, and H. Pfister. ICCV, page 177-184. IEEE Computer Society, (2011)Shape-constrained repulsive snake method to segment and track neurons in 3D microscopy images.H. Cai, X. Xu, J. Lu, J. Lichtman, S. Yung, and S. Wong. ISBI, page 538-541. IEEE, (2006)High-Throughput Microscopy Image Deblurring with Graph Reasoning Attention Network.Y. Zhang, D. Wei, R. Schalek, Y. Wu, S. Turney, J. Lichtman, H. Pfister, and Y. Fu. ISBI, page 1-5. IEEE, (2023)A Topological Nomenclature for 3D Shape Analysis in Connectomics.A. Talwar, Z. Lin, D. Wei, Y. Wu, B. Zheng, J. Zhao, W. Jang, X. Wang, J. Lichtman, and H. Pfister. CVPR Workshops, page 4245-4253. Computer Vision Foundation / IEEE, (2020)Learning to Correct Sloppy Annotations in Electron Microscopy Volumes.M. Chen, M. Renuka, L. Mi, J. Lichtman, N. Shavit, and Y. Meirovitch. CVPR Workshops, page 4273-4284. IEEE, (2023)

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Disambiguation of "Lichtman, Jeff"

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The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience.

Please choose a person to relate this publication to

Jeff Berens

Jeff Bezanson

Dennis Jeffrey

Jeff Jay

Jeff Tian

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Lichtman, Jeff"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience.

Please choose a person to relate this publication to

Jeff Berens

Jeff Bezanson

Dennis Jeffrey

Jeff Jay

Jeff Tian

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience.