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ORCIDPeter Naylor
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2020 – today
- 2024
[c6]Patrick Ebel, Brandon Victor, Peter Naylor, Gabriele Meoni, Federico Serva, Rochelle Schneider:
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting. CVPR Workshops 2024: 471-480- [c5]Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci
:
Implicit neural representation for change detection. WACV 2024: 924-934 - [i5]Patrick Ebel, Brandon Victor, Peter Naylor, Gabriele Meoni, Federico Serva, Rochelle Schneider:
Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting. CoRR abs/2404.05758 (2024) - [i4]Brandon Victor, Mathilde Letard, Peter Naylor, Karim Douch, Nicolas Longépé, Zhen He, Patrick Ebel:
Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting. CoRR abs/2409.18591 (2024) - 2023
- [c4]Marco Fiorucci, Peter Naylor, Makoto Yamada:
Optimal Transport for Change Detection on Lidar Point Clouds. IGARSS 2023: 982-985 - [i3]Marco Fiorucci, Peter Naylor, Makoto Yamada:
Optimal Transport for Change Detection on LiDAR Point Clouds. CoRR abs/2302.07025 (2023) - [i2]Peter Naylor, Diego Di Carlo, Arianna Traviglia, Makoto Yamada, Marco Fiorucci:
Implicit neural representation for change detection. CoRR abs/2307.15428 (2023) - 2022
- [c3]Benjamin Poignard, Peter J. Naylor, Héctor Climente-González, Makoto Yamada:
Feature screening with kernel knockoffs. AISTATS 2022: 1935-1974 - [d1]Peter Naylor, Marick Laé, Fabien Reyal, Thomas Walter:
Segmentation of Nuclei in Histopathology Images by deep regression of the distance map. IEEE DataPort, 2022
- [i1]Peter Naylor, Yao-Hung Hubert Tsai, Marick Laé, Makoto Yamada:
Scale dependant layer for self-supervised nuclei encoding. CoRR abs/2207.10950 (2022)
2010 – 2019
- 2019
- [b1]Peter Naylor:
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). PSL Research University, Paris, France, 2019 - [j1]Peter Naylor, Marick Lae, Fabien Reyal, Thomas Walter:
Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map. IEEE Trans. Medical Imaging 38(2): 448-459 (2019) - [c2]Peter Naylor, Joseph Boyd, Marick Laé, Fabien Reyal, Thomas Walter:
Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort. ISBI 2019: 933-937 - 2017
- [c1]Peter Naylor, Marick Lae, Fabien Reyal, Thomas Walter:
Nuclei segmentation in histopathology images using deep neural networks. ISBI 2017: 933-936
Coauthor Index
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