John Le Quesne

According to our database, John Le Quesne authored at least 5 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Self-supervised learning unveils morphological clusters behind lung cancer types and prognosis.

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

CoRR, 2022

Self-supervised Antigen Detection Artificial Intelligence (SANDI).

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

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns.

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

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022

2019

Deconvolving Convolutional Neural Network for Cell Detection.

Shan E Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani, Selvaraju Veeriah, John Le Quesne, Charles Swanton, Yinyin Yuan

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Deconvolving convolution neural network for cell detection.

Shan E Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani, Selvaraju Veeriah, John Le Quesne, Charles Swanton, Yinyin Yuan

CoRR, 2018