Peter Naylor

Orcid: 0000-0002-9984-1736

According to our database1, Peter Naylor authored at least 9 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Implicit neural representation for change detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Optimal Transport for Change Detection on Lidar Point Clouds.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Segmentation of Nuclei in Histopathology Images by deep regression of the distance map.
Dataset, May, 2022

Scale dependant layer for self-supervised nuclei encoding.
CoRR, 2022

Feature screening with kernel knockoffs.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2019
From cellular phenotypes to the analysis of whole slide images: Application to treatment response in triple-negative breast cancer. (Du phénotypage cellulaire à la classification de lames digitales: Une application au traitement du cancer du sein triple-négatif).
PhD thesis, 2019

Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map.
IEEE Trans. Medical Imaging, 2019

Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2017
Nuclei segmentation in histopathology images using deep neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017


  Loading...