Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Chiron, Sophie"'
Autor:
Deng, Ruining, Cui, Can, Remedios, Lucas W., Bao, Shunxing, Womick, R. Michael, Chiron, Sophie, Li, Jia, Roland, Joseph T., Lau, Ken S., Liu, Qi, Wilson, Keith T., Wang, Yaohong, Coburn, Lori A., Landman, Bennett A., Huo, Yuankai
Analyzing high resolution whole slide images (WSIs) with regard to information across multiple scales poses a significant challenge in digital pathology. Multi-instance learning (MIL) is a common solution for working with high resolution images by cl
Externí odkaz:
http://arxiv.org/abs/2304.00216
Autor:
Deng, Ruining, Cui, Can, Remedios, Lucas W., Bao, Shunxing, Womick, R. Michael, Chiron, Sophie, Li, Jia, Roland, Joseph T., Lau, Ken S., Liu, Qi, Wilson, Keith T., Wang, Yaohong, Coburn, Lori A., Landman, Bennett A., Huo, Yuankai
Multi-instance learning (MIL) is widely used in the computer-aided interpretation of pathological Whole Slide Images (WSIs) to solve the lack of pixel-wise or patch-wise annotations. Often, this approach directly applies "natural image driven" MIL al
Externí odkaz:
http://arxiv.org/abs/2208.07322
Autor:
Bao, Shunxing, Tang, Yucheng, Lee, Ho Hin, Gao, Riqiang, Chiron, Sophie, Lyu, Ilwoo, Coburn, Lori A., Wilson, Keith T., Roland, Joseph T., Landman, Bennett A., Huo, Yuankai
Multiplex immunofluorescence (MxIF) is an emerging imaging technique that produces the high sensitivity and specificity of single-cell mapping. With a tenet of 'seeing is believing', MxIF enables iterative staining and imaging extensive antibodies, w
Externí odkaz:
http://arxiv.org/abs/2109.09004
Autor:
Deng, Ruining, Cui, Can, Remedios, Lucas W., Bao, Shunxing, Womick, R. Michael, Chiron, Sophie, Li, Jia, Roland, Joseph T., Lau, Ken S., Liu, Qi, Wilson, Keith T., Wang, Yaohong, Coburn, Lori A., Landman, Bennett A., Huo, Yuankai
Publikováno v:
In Medical Image Analysis May 2024 94
Akademický článek
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Autor:
Cui, Can, Bao, Shunxing, Li, Jia, Deng, Ruining, Remedios, Lucas W., Asad, Zuhayr, Chiron, Sophie, Lau, Ken S., Wang, Yaohong, Coburn, Lori A., Wilson, Keith T., Roland, Joseph T., Landman, Bennett A., Liu, Qi, Huo, Yuankai
Publikováno v:
Proc SPIE Int Soc Opt Eng
The Tangram algorithm is a benchmarking method of aligning single-cell (sc/snRNA-seq) data to various forms of spatial data collected from the same region. With this data alignment, the annotation of the single-cell data can be projected to spatial d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::5b33d191a1aa27a53a2e16c8d948ca6a
https://europepmc.org/articles/PMC10270698/
https://europepmc.org/articles/PMC10270698/
Autor:
Bao, Shunxing, Tang, Yucheng, Lee, Ho Hin, Gao, Riqiang, Chiron, Sophie, Lyu, Ilwoo, Coburn, Lori A., Wilson, Keith T., Roland, Joseph T., Landman, Bennett A., Huo, Yuankai
Publikováno v:
Proc Mach Learn Res
Multiplex immunofluorescence (MxIF) is an emerging imaging technique that produces the high sensitivity and specificity of single-cell mapping. With a tenet of 'seeing is believing', MxIF enables iterative staining and imaging extensive antibodies, w
Autor:
Tomaszewski, John E., Ward, Aaron D., Bao, Shunxing, Cui, Can, Li, Jia, Tang, Yucheng, Lee, Ho Hin, Deng, Ruining, Remedios, Lucas W., Yu, Xin, Yang, Qi, Chiron, Sophie, Patterson, Nathan Heath, Lau, Ken S., Liu, Qi, Roland, Joseph T., Coburn, Lori A., Wilson, Keith T., Landman, Bennett A., Huo, Yuankai
Publikováno v:
Proceedings of SPIE; April 2023, Vol. 12471 Issue: 1 p124710B-124710B-10, 12346301p
Autor:
Tomaszewski, John E., Ward, Aaron D., Levenson, Richard M., Bao, Shunxing, Tang, Yucheng, Lee, Ho Hin, Gao, Riqiang, Yang, Qi, Yu, Xin, Chiron, Sophie, Coburn, Lori A., Wilson, Keith T., Roland, Joseph T., Landman, Bennett A., Huo, Yuankai
Publikováno v:
Proceedings of SPIE; April 2022, Vol. 12039 Issue: 1 p120390K-120390K-8, 1083519p
Autor:
Remedios, Lucas W., Bao, Shunxing, Kerley, Cailey I., Cai, Leon Y., Rheault, François, Deng, Ruining, Cui, Can, Chiron, Sophie, Lau, Ken S., Roland, Joseph T., Washington, Mary K., Coburn, Lori A., Wilson, Keith T., Huo, Yuankai, Landman, Bennett A.
Publikováno v:
Proceedings of SPIE; 3/15/2023, Vol. 12471, p1247116-1247116, 1p