Zobrazeno 1 - 10
of 560
pro vyhledávání: '"Lau, Ken"'
Autor:
Remedios, Lucas W., Bao, Shunxing, Remedios, Samuel W., Lee, Ho Hin, Cai, Leon Y., Li, Thomas, Deng, Ruining, Newlin, Nancy R., Saunders, Adam M., Cui, Can, Li, Jia, Liu, Qi, Lau, Ken S., Roland, Joseph T., Washington, Mary K, Coburn, Lori A., Wilson, Keith T., Huo, Yuankai, Landman, Bennett A.
Understanding the way cells communicate, co-locate, and interrelate is essential to furthering our understanding of how the body functions. H&E is widely available, however, cell subtyping often requires expert knowledge and the use of specialized st
Externí odkaz:
http://arxiv.org/abs/2407.06116
Autor:
Remedios, Lucas W., Bao, Shunxing, Remedios, Samuel W., Lee, Ho Hin, Cai, Leon Y., Li, Thomas, Deng, Ruining, Cui, Can, Li, Jia, Liu, Qi, Lau, Ken S., Roland, Joseph T., Washington, Mary K., Coburn, Lori A., Wilson, Keith T., Huo, Yuankai, Landman, Bennett A.
Understanding the way cells communicate, co-locate, and interrelate is essential to understanding human physiology. Hematoxylin and eosin (H&E) staining is ubiquitously available both for clinical studies and research. The Colon Nucleus Identificatio
Externí odkaz:
http://arxiv.org/abs/2401.05602
Autor:
Bao, Shunxing, Zhu, Sichen, Kolachala, Vasantha L, Remedios, Lucas W., Hwang, Yeonjoo, Sun, Yutong, Deng, Ruining, Cui, Can, Li, Yike, Li, Jia, Roland, Joseph T., Liu, Qi, Lau, Ken S., Kugathasan, Subra, Qiu, Peng, Wilson, Keith T., Coburn, Lori A., Landman, Bennett A., Huo, Yuankai
Crohn's disease (CD) is a chronic and relapsing inflammatory condition that affects segments of the gastrointestinal tract. CD activity is determined by histological findings, particularly the density of neutrophils observed on Hematoxylin and Eosin
Externí odkaz:
http://arxiv.org/abs/2308.10166
Autor:
Cui, Can, Wang, Yaohong, Bao, Shunxing, Tang, Yucheng, Deng, Ruining, Remedios, Lucas W., Asad, Zuhayr, Roland, Joseph T., Lau, Ken S., Liu, Qi, Coburn, Lori A., Wilson, Keith T., Landman, Bennett A., Huo, Yuankai
Many anomaly detection approaches, especially deep learning methods, have been recently developed to identify abnormal image morphology by only employing normal images during training. Unfortunately, many prior anomaly detection methods were optimize
Externí odkaz:
http://arxiv.org/abs/2307.00750
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:
Kjar, Andrew, Haschert, Mia R., Zepeda, José C., Simmons, A. Joey, Yates, Alexis, Chavarria, Daniel, Fernandez, Melanie, Robertson, Gabriella, Abdulrahman, Adam M., Kim, Hyosung, Marguerite, Nicole T., Moen, Rachel K., Drake, Lauren E., Curry, Corinne W., O’Grady, Brian J., Gama, Vivian, Lau, Ken S., Grueter, Brad, Brunger, Jonathan M., Lippmann, Ethan S.
Publikováno v:
In Cell Reports 26 November 2024 43(11)
Autor:
Xiong, Jiangmei, McKinley, Eliot, Roland, Joseph T., Coffey, Robert, Shrubsole, Martha J., Lau, Ken S., Vandekar, Simon
Mixture models are useful in a wide array of applications to identify subpopulations in noisy overlapping distributions. For example, in multiplexed immunofluorescence (mIF), cell image intensities represent expression levels and the cell populations
Externí odkaz:
http://arxiv.org/abs/2110.13074
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