John Le Quesne

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 5

Top Topics

Convolutional Neural Network

Segmentation Accuracy

Top Venues

Publications

Hanyun Zhang, Khalid AbdulJabbar, Tami Grunewald, Ayse U. Akarca, Yeman Brhane Hagos, Catherine S. Y. Lecat, Dominic Patel, Lydia Lee, Manuel Rodriguez-Justo, Kwee Yong, Jonathan A. Ledermann, John Le Quesne, Teresa Marafioti, Yinyin Yuan
Self-supervised Antigen Detection Artificial Intelligence (SANDI). REMIA@MICCAI (2022)
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton, Xinyu Yang, Luis Chiriboga, Afreen Karimkhan, Navneet Narula, Harvey I. Pass, Andre L. Moreira, John Le Quesne, Aristotelis Tsirigos, Ke Yuan
Self-supervised learning unveils morphological clusters behind lung cancer types and prognosis. CoRR (2022)
Xiaoxi Pan, Hanyun Zhang, Anca-Ioana Grapa, Khalid AbdulJabbar, Shan-e-Ahmed Raza, Ho Kwan Alvin Cheung, Takahiro Karasaki, John Le Quesne, David A. Moore, Charles Swanton, Yinyin Yuan
Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns. CMMCA@MICCAI (2022)
Shan e Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani, Selvaraju Veeriah, John Le Quesne, Charles Swanton, Yinyin Yuan
Deconvolving Convolutional Neural Network for Cell Detection. ISBI (2019)
Shan e Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani, Selvaraju Veeriah, John Le Quesne, Charles Swanton, Yinyin Yuan
Deconvolving convolution neural network for cell detection. CoRR (2018)