Nuclei segmentation in histopathology images using deep neural networks. - Peter Naylor; Marick Lae; Fabien Reyal; Thomas Walter 003 (ISBI, 2017)

Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort. - Peter Naylor; Joseph Boyd; Marick Laé; Fabien Reyal; Thomas Walter 003 (ISBI, 2019)

Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map. - Peter Naylor; Marick Lae; Fabien Reyal; Thomas Walter 003 (IEEE Trans. Medical Imaging, 2019)

Scale dependant layer for self-supervised nuclei encoding. - Peter Naylor; Yao-Hung Hubert Tsai; Marick Laé; Makoto Yamada (CoRR, 2022)

Interactive exploration of a global clinical network from a large breast cancer cohort. - Nadir Sella; Anne-Sophie Hamy; Vincent Cabeli; Lauren Darrigues; Marick Laé; Fabien Reyal; Hervé Isambert (npj Digit. Medicine, 2022)

Segmentation of Nuclei in Histopathology Images by deep regression of the distance map. - Peter Naylor; Marick Laé; Fabien Reyal; Thomas Walter 003 (IEEE DataPort, 2022)