Author

T. Serre

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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Animal Behavior & Cognition· 1 Bioengineering· 1 Cell Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:cell type annotation· 2 Assay:imaging· 2 Assay:behavioral assay· 1 Research Focus:benchmarking· 1 Organism:C. elegans· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

D. Linsley· 2 shared L. N. Govindarajan· 2 shared A. C. Hart· 1 shared A. Javaherian· 1 shared B. Kimia· 1 shared B. L. McLaughlin· 1 shared D. A. Borton· 1 shared D. Saeed-Vafa· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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2 shared papersPathology

D. Linsley

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

An active electronic, high-density epidural paddle array for chronic spinal cord neuromodulation

S. R. Parker, J. S. Calvert, R. Darie, J. Jang, L. N. Govindarajan, K. Angelino, G. Chitnis, Y. Iyassu, E. Shaaya, J. S. Fridley, T. Serre, D. A. Borton, B. L. McLaughlin

This paper develops a high-density epidural stimulation paddle with integrated electronics and evaluates its long-term performance in sheep.

bioRxiv · May 29, 2024Bioengineering

Deceptive learning in histopathology

S. Shahamatdar, D. Saeed-Vafa, D. Linsley, F. Khalil, K. L. Lovinger, L. Li, H. L. McLeod, S. Ramachandran, T. Serre

This paper analyzes whether deep learning models in histopathology learn trustworthy or deceptive strategies, finding that some recent advances in molecular profiling from H&E slides are unreliable.

bioRxiv · Apr 21, 2022Pathology

Super-human cell death detection with biomarker-optimized neural networks

J. W. Linsley, D. Linsley, J. Lamstein, G. Ryan, K. Shah, N. A. Castello, V. Oza, J. Kalra, S. Wang, Z. Tokuno, A. Javaherian, T. Serre, S. Finkbeiner

This paper introduces BO-CNN, a neural network that detects cell death in live microscopy with 96% accuracy, faster than previous methods and without requiring stains or dyes.

bioRxiv · Aug 4, 2020 · PreprintCell Biology

Discriminating between sleep and exercise-induced fatigue using computer vision and behavioral genetics

K. N. Schuch, L. N. Govindarajan, Y. Guo, S. N. Baskoylu, S. Kim, B. Kimia, T. Serre, A. C. Hart

This study develops a computer vision method to analyze C. elegans swimming behavior and identifies genetic factors influencing exercise-induced quiescence.

bioRxiv · Feb 6, 2020Animal Behavior & Cognition