Author

Marc Thibault

Stanford UniversityORCID 0000-0002-4790-7537Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexandre Momeni· 2 shared Olivier GevaertiD· 2 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Alexandre Momeni

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2 papers

Recent·Most cited

Dropout-Enabled Ensemble Learning for Multi-Scale Biomedical Data

Alexandre Momeni, Marc Thibault, Olivier Gevaert

The paper combines CNN models for histopathology and radiology images using a Dropout-Enabled meta-classifier to improve diagnostic accuracy in cancer.

Lecture notes in computer science · Jan 1, 2019Peer-reviewedBioinformatics

Deep Recurrent Attention Models for Histopathological Image Analysis

Alexandre Momeni, Marc Thibault, Olivier Gevaert

The paper introduces a deep recurrent attention model for histopathological image analysis, showing comparable performance to CNNs while processing fewer patches.

bioRxiv · Oct 14, 2018 · PreprintBioinformatics