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pro vyhledávání: '"Lee, Nigel"'
Publikováno v:
In Midwifery October 2024 137
Publikováno v:
In Women and Birth July 2024 37(4)
Publikováno v:
In Women and Birth February 2024 37(1):159-165
Publikováno v:
In Women and Birth February 2024 37(1):153-158
Autor:
Lee, Nigel, Kearney, Lauren, Shipton, Emma, Hawley, Glenda, Winters-Chang, Peta, Kilgour, Catherine, Brady, Susannah, Peacock, Ann, Anderson, Loretta, Humphrey, Tracy
Publikováno v:
In Women and Birth November 2023 36(6):e574-e581
Autor:
Cotterill, John, Flynn, Sam, Thomas, Russell, Subiel, Anna, Lee, Nigel, Shipley, David, Palmans, Hugo, Lourenço, Ana
Publikováno v:
In Physics and Imaging in Radiation Oncology October 2023 28
Autor:
Sun, Jialin, Osenberg, Sivan, Irwin, Austin, Ma, Li-Hua, Lee, Nigel, Xiang, Yangfei, Li, Feng, Wan, Ying-Wooi, Park, In-Hyun, Maletic-Savatic, Mirjana, Ballas, Nurit
Publikováno v:
In Cell Reports 31 January 2023 42(1)
Publikováno v:
In Midwifery January 2023 116
Autor:
Akintayo, Adedotun, Lee, Nigel, Chawla, Vikas, Mullaney, Mark, Marett, Christopher, Singh, Asheesh, Singh, Arti, Tylka, Greg, Ganapathysubramaniam, Baskar, Sarkar, Soumik
This paper proposes a novel selective autoencoder approach within the framework of deep convolutional networks. The crux of the idea is to train a deep convolutional autoencoder to suppress undesired parts of an image frame while allowing the desired
Externí odkaz:
http://arxiv.org/abs/1603.07834
Publikováno v:
In Midwifery August 2021 99