Author

G. Bataillon

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:imaging· 2 Approach:deep learning· 1 Approach:microscopy & imaging analysis· 1

Frequent Co-Authors

M.-H. Stern· 2 shared T. Popova· 2 shared A. Herbette· 1 shared A. Latouche· 1 shared A. Nicolas· 1 shared A. Salomon· 1 shared A. Simon· 1 shared A. Vincent-Salomon· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersCancer Biology

M.-H. Stern

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2 papers

Recent·Most cited

Low centrosome numbers correlate with higher aggressivity in ovarian cancer

J.-P. Morretton, A. Simon, A. Herbette, J. Barbazan, C. Perez-Gonzalez, C. Cosson, B. Mboup, A. Latouche, T. Popova, Y. Kieffer, P. Gestraud, G. Bataillon, V. Becette, D. Meseure, A. Nicolas, , R. Basto

The paper analyzes centrosome numbers in ovarian cancers and finds that low centrosome numbers correlate with poor patient survival and mesenchymal subgroup enrichment.

bioRxiv · Jan 4, 2022 · PreprintCancer Biology

Deep Learning identifies new morphological patterns of Homologous Recombination Deficiency in luminal breast cancers from whole slide images.

T. Lazard, G. Bataillon, P. Naylor, T. Popova, F.-c. Bidard, D. Stoppa-Lyonnet, M.-H. Stern, E. Decenciere, T. Walter, A. Salomon

This study uses deep learning to identify new morphological patterns of HRD in luminal breast cancers from whole slide images, achieving high accuracy and enabling new hypotheses on phenotypic impacts.

bioRxiv · Sep 10, 2021Cancer Biology