Author

R. W. Conrad

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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Cell Biology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:electronic health records· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1

Frequent Co-Authors

K. Narayan· 2 shared

Activity by Year

2020-2022 · peak 1/yr

2 papers

Recent·Most cited

Cell BiologybioRxivPreprintMar 17, 2022

Instance segmentation of mitochondria in electron microscopy images with a generalist deep learning model.

R. W. Conrad, K. Narayan

The paper develops a deep learning model for mitochondria instance segmentation in EM images and releases a tool for inference and visualization.

DOI 10.1101/2022.03.17.484806

electronic health recordsdeep learning

𝕏 PostBluesky

Cell BiologybioRxivDec 11, 2020

CEM500K - A large-scale heterogeneous unlabeled cellular electron microscopy image dataset for deep learning.

R. W. Conrad, K. Narayan

The paper introduces CEM500K, a large-scale unlabeled EM dataset for deep learning, showing pre-trained models achieve state-of-the-art results on segmentation tasks.

DOI 10.7554/elife.65894

imagingfluorescence / live-cell microscopy

𝕏 PostBluesky