ORCID as entered in ROS

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Cortesi M; Li J; Liu D; Guo T; Dokos S; Warton K; Ford C, 2024, A novel approach for the quantification of single-cell adhesion dynamics from microscopy images, http://dx.doi.org/10.1101/2024.10.08.616409
Cortesi M; Liu D; Powell E; Barlow E; Warton K; Giordano E; Ford C, 2024, Development and validation of a computational tool to predict treatment outcomes in cells from High-Grade Serous Ovarian Cancer patients, http://dx.doi.org/10.1101/2024.10.02.616212
Matthews B; Wong-Brown M; Liu D; Yee C; Dickson K-A; Schneider J; Islam S; Head R; Martin J; Ford C; Marsh D; Bowden N, 2023, Drug repurposing screen targeting PARP identifies cytotoxic activity of efavirenz in high-grade serous ovarian cancer, http://dx.doi.org/10.22541/au.169580899.90269470/v1
Cortesi M; Liu D; Powell E; Barlow E; Warton K; Ford C, 2023, Accurate identification of cancer cells in complex pre-clinical models using deep-learning: a transfection-free approach, http://dx.doi.org/10.1101/2023.10.15.562411
Cortesi M; Liu D; Yee C; Marsh D; Ford C, 2023, Model Parameter identification using 2D vs 3D experimental data: a comparative analysis, http://dx.doi.org/10.1101/2023.05.17.541071