Author

Baptiste Giroux

Canon (France)

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

Bioengineering· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Jacques PécréauxiD· 2 shared Marc TramieriD· 2 shared Otmane Bouchareb· 2 shared Youssef El HabouziD· 2 shared Benjamin Mercat· 1 shared Célia Martin· 1 shared Claire DéméautisiD· 1 shared Florian SizaireiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 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

2 shared papersBioengineering

Jacques PécréauxORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

The Roboscope: Smart and Fast Microscopy for Generic Event-Driven Acquisition

Julia Bonnet, Youssef El Habouz, Célia Martin, Maëlle Guillout, Louis Ruel, Baptiste Giroux, Claire Déméautis, Benjamin Mercat, Otmane Bouchareb, Jacques Pécréaux, Marc Tramier

The Roboscope autonomously captures rare biological events using deep learning and sequence interruption, demonstrating efficiency with minimal training data.

bioRxiv · Sep 24, 2024 · PreprintBioengineering

Neural network fast-classifies biological images using features selected after their random-forests-importance to power smart microscopy.

Maël Balluet, Florian Sizaire, Youssef El Habouz, Thomas Walter, Jérémy Pont, Baptiste Giroux, Otmane Bouchareb, Marc Tramier, Jacques Pécréaux

The paper develops a fast image classification method for biological microscopy by selecting discriminant features and using machine learning to improve speed and accuracy.

bioRxiv · Nov 10, 2020 · PreprintBioinformatics