Charlie Saillard

Closest collaborators

The 12 strongest of 12 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

1. Cindy Neuzillet · 2 shared papers, 2022–2023 · strength 0.24
   • Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
   • Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
2. Rémy Nicolle · 2 shared papers, 2022–2023 · strength 0.24
   • Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
   • Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
3. Magali Svrcek · 2 shared papers, 2022–2023 · strength 0.24
   • Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
   • Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
4. Vinciane Rebours · 2 shared papers, 2022–2023 · strength 0.24
   • Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
   • Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
5. Jerome F. Cros · 2 shared papers, 2022–2023 · strength 0.24
   • Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
   • Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
6. Valérie Paradis · 2 shared papers, 2022–2023 · strength 0.24
   • Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
   • Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
7. Magali Richard · 2 shared papers, 2022–2023 · strength 0.24
   • Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
   • Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
8. Louis de Mestier · 2 shared papers, 2022–2023 · strength 0.24
   • Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
   • Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
9. Juan Iovanna · 2 shared papers, 2022–2023 · strength 0.24
   • Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
   • Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
10. Pascal R. Hammel · 2 shared papers, 2022–2023 · strength 0.24
    • Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
    • Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
11. Jean‐Baptiste Bachet · 2 shared papers, 2022–2023 · strength 0.24
    • Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
    • Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗
12. Nelson Dusetti · 2 shared papers, 2022–2023 · strength 0.24
    • Paper Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic… DOI 10.1038/s41467-023-39026-y↗
    • Paper PACpAInt: a deep learning approach to identify molecular subtypes of pancreatic adenocarcinoma on histology slides DOI 10.1101/2022.01.04.474951↗

How to reach this person

A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.