Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Yuanpu Xie"'
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-16 (2019)
Abstract Background Nucleus or cell detection is a fundamental task in microscopy image analysis and supports many other quantitative studies such as object counting, segmentation, tracking, etc. Deep neural networks are emerging as a powerful tool f
Externí odkaz:
https://doaj.org/article/a5b9c51379f740aeb1b2ffd06d10d9ca
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-1 (2019)
Following publication of the original article [1], we have been notified of a few errors in the html version:
Externí odkaz:
https://doaj.org/article/ebcd3d65404941209454b642571139fc
Publikováno v:
AAAI
Although attention mechanisms have been widely used in deep learning for many tasks, they are rarely utilized to solve multiple instance learning (MIL) problems, where only a general category label is given for multiple instances contained in one bag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bb6081a388c63f7c1d534ffcf06d003
https://doi.org/10.1609/aaai.v34i04.6030
https://doi.org/10.1609/aaai.v34i04.6030
Autor:
Bruce Ferwerda, Luca Belli, Ben Chamberlain, Alexandre Lung-Yut-Fong, Yuanpu Xie, Wenzhe Shi, Saikishore Kalloori, Frank Portman, Michael M. Bronstein, Alykhan Tejani, Jonathan Hunt, Vito Walter Anelli
Publikováno v:
RecSys
The workshop features presentations of accepted contributions to the RecSys Challenge 2021, organized by Politecnico di Bari, ETH Zurich, Jonkoping University, and the data set is provided by Twitter. The challenge focuses on a real-world task of twe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92545fe85fbd196cc5c79f293b786618
https://doi.org/10.1145/3460231.3478515
https://doi.org/10.1145/3460231.3478515
Autor:
Farah Khalil, Nazeel Ahmad, Hai Su, Pingjun Chen, Jasreman Dhillon, Chunbao Wang, Lei Cui, Yuanpu Xie, Jinzheng Cai, Lin Yang, Xiaoshuang Shi, Fujun Liu, Zizhao Zhang, Mason McGough, Marilyn M. Bui, Fuyong Xing, Shohreh I. Dickinson, Manish Sapkota
Publikováno v:
Nature Machine Intelligence. 1:236-245
Diagnostic pathology is the foundation and gold standard for identifying carcinomas. However, high inter-observer variability substantially affects productivity in routine pathology and is especially ubiquitous in diagnostician-deficient medical cent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d9099872483e305cca88c9f9883f43a
https://doi.org/10.1038/s42256-019-0052-1
https://doi.org/10.1038/s42256-019-0052-1
Autor:
Kristian Lum, Frank Portman, Saikishore Kalloori, Wenzhe Shi, Michael M. Bronstein, Alykhan Tejani, Vito Walter Anelli, Jonathan Hunt, Luca Belli, Yuanpu Xie, Alexandre Lung-Yut-Fong, Bruce Ferwerda, Ben Chamberlain
After the success the RecSys 2020 Challenge, we are describing a novel and bigger dataset that was released in conjunction with the ACM RecSys Challenge 2021. This year's dataset is not only bigger (~ 1B data points, a 5 fold increase), but for the f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c735528f4e22d8efd67a74bb588aca8f
Autor:
Jessie Smith, Wenzhe Shi, Xiao Zhu, Sofia Ira Ktena, Akshay Gupta, Frank Portman, Nazareno Andrade, Luca Belli, Michael M. Bronstein, Vito Walter Anelli, Yuanpu Xie, Alexandre Lung-Yut-Fong, Amra Delic, Gabriele Sottocornola, Alykhan Tejani
Publikováno v:
RecSys
The workshop features presentations of accepted contributions to the RecSys Challenge 2020, organized by Politecnico di Bari, Free University of Bozen-Bolzano, TU Wien, University of Colorado, Boulder, and Universidade Federal de Campina Grande, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baf729f4e0f6adfe1d4cf33d57f42cbc
https://doi.org/10.1145/3383313.3411532
https://doi.org/10.1145/3383313.3411532
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 22:942-954
Idiopathic Inflammatory Myopathy (IIM) is a common skeletal muscle disease that relates to weakness and inflammation of muscle. Early diagnosis and prognosis of different types of IIMs will guide the effective treatment. Interpretation of digitized i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53f6bf589d6d0157cf3b9ed15ad07950
https://doi.org/10.1109/jbhi.2017.2694344
https://doi.org/10.1109/jbhi.2017.2694344
Publikováno v:
Medical Image Analysis. 44:245-254
Efficient and robust cell detection serves as a critical prerequisite for many subsequent biomedical image analysis methods and computer-aided diagnosis (CAD). It remains a challenging task due to touching cells, inhomogeneous background noise, and l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f87cd92cc2caf208d563d53ec910e188
https://doi.org/10.1016/j.media.2017.07.003
https://doi.org/10.1016/j.media.2017.07.003
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-16 (2019)
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-16 (2019)
BackgroundNucleus or cell detection is a fundamental task in microscopy image analysis and supports many other quantitative studies such as object counting, segmentation, tracking, etc. Deep neural networks are emerging as a powerful tool for biomedi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d28c4f0c1acac94183945a404508c31
https://doi.org/10.1186/s12859-019-3037-5
https://doi.org/10.1186/s12859-019-3037-5