Author

Elodie Marcandalli

École Polytechnique Fédérale de Lausanne

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

Biology Disciplines

Click to filter author papers

Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Cathrin BriskeniD· 1 shared Daniel SageiD· 1 shared Fabio De MartinoiD· 1 shared MARTIN G. WEIGERTiD· 1 shared Michael A. UnseriD· 1 shared Olivier BurriiD· 1 shared Quentin JuppetiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperSystems Biology

Cathrin BriskenORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features

Quentin Juppet, Fabio De Martino, Elodie Marcandalli, MARTIN G. WEIGERT, Olivier Burri, Michael A. Unser, Cathrin Brisken, Daniel Sage

The paper introduces a deep learning tool to classify xenograft cells in histological images by analyzing contextual features, achieving up to 96% accuracy in distinguishing human and murine cells.

Journal of Mammary Gland Biology and Neoplasia · May 17, 2021Peer-reviewedSystems Biology