Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Stephen Plaza"'
Autor:
Shin-ya Takemura, Yoshinori Aso, Toshihide Hige, Allan Wong, Zhiyuan Lu, C Shan Xu, Patricia K Rivlin, Harald Hess, Ting Zhao, Toufiq Parag, Stuart Berg, Gary Huang, William Katz, Donald J Olbris, Stephen Plaza, Lowell Umayam, Roxanne Aniceto, Lei-Ann Chang, Shirley Lauchie, Omotara Ogundeyi, Christopher Ordish, Aya Shinomiya, Christopher Sigmund, Satoko Takemura, Julie Tran, Glenn C Turner, Gerald M Rubin, Louis K Scheffer
Publikováno v:
eLife, Vol 6 (2017)
Understanding memory formation, storage and retrieval requires knowledge of the underlying neuronal circuits. In Drosophila, the mushroom body (MB) is the major site of associative learning. We reconstructed the morphologies and synaptic connections
Externí odkaz:
https://doaj.org/article/06e45feb856e49faa932cffa789906cb
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0125825 (2015)
Electron Microscopy (EM) image (or volume) segmentation has become significantly important in recent years as an instrument for connectomics. This paper proposes a novel agglomerative framework for EM segmentation. In particular, given an over-segmen
Externí odkaz:
https://doaj.org/article/ae0681c8da074c0aa59a0c1a4cbe4ad9
Autor:
Caitlyn, Bishop, Jordan, Matelsky, Miller, Wilt, Joseph, Downs, Patricia, Rivlin, Stephen, Plaza, Brock, Wester, William, Gray-Roncal
Publikováno v:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
The nanoscale connectomics community has recently generated automated and semi-automated "wiring diagrams" of brain subregions from terabytes and petabytes of dense 3D neuroimagery. This process involves many challenging and imperfect technical steps
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d1d2c01b3086bc9240ed8ef64bfe880
https://doi.org/10.1109/embc46164.2021.9630109
https://doi.org/10.1109/embc46164.2021.9630109
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 17(Pt 1)
Pixel and superpixel classifiers have become essential tools for EM segmentation algorithms. Training these classifiers remains a major bottleneck primarily due to the requirement of completely annotating the dataset which is tedious, error-prone and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::49233b50ada69661188798c00719e4fa
https://pubmed.ncbi.nlm.nih.gov/25333142
https://pubmed.ncbi.nlm.nih.gov/25333142