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ORCIDKannan Umadevi Venkataraju
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Conference and Workshop Papers
- 2022
[c4]Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael P. Milham, Arnaud Delorme:
A streamable large-scale clinical EEG dataset for Deep Learning. EMBC 2022: 1058-1061- 2019
- [c3]James Gornet
, Kannan Umadevi Venkataraju, Arun Narasimhan, Nicholas L. Turner, Kisuk Lee, H. Sebastian Seung, Pavel Osten, Uygar Sümbül:
Reconstructing Neuronal Anatomy from Whole-Brain Images. ISBI 2019: 218-222 - 2009
- [c2]Kannan Umadevi Venkataraju, António R. C. Paiva, Elizabeth Jurrus, Tolga Tasdizen:
Automatic Markup of Neural Cell Membranes Using Boosted Decision Stumps. ISBI 2009: 1039-1042 - [c1]James R. Anderson, Bryan W. Jones, Jia-Hui Yang, Maggie V. Shaw, Carl B. Watt, Paul Koshevoy, Joël Spaltenstein, Elizabeth Jurrus, Kannan Umadevi Venkataraju, Ross T. Whitaker, David N. Mastronarde, Tolga Tasdizen, Robert Marc:
Ultrastructural Mapping of Neural Circuitry: A Computational Framework. ISBI 2009: 1135-1137
Informal and Other Publications
- 2022
- [i2]Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael P. Milham, Arnaud Delorme:
A streamable large-scale clinical EEG dataset for Deep Learning. CoRR abs/2203.02552 (2022) - 2019
- [i1]James Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan, Nicholas L. Turner, Kisuk Lee, H. Sebastian Seung, Pavel Osten, Uygar Sümbül:
Reconstructing neuronal anatomy from whole-brain images. CoRR abs/1903.07027 (2019)
Coauthor Index
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