Allen Goodman

Affiliations: 
2015- Imaging Platform Broad Institute, Cambridge, MA, United States 
Area:
Software Engineering
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"Allen Goodman"

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Anne E. Carpenter research scientist 2015-
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Publications

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Serrano E, Chandrasekaran SN, Bunten D, et al. (2023) Reproducible image-based profiling with Pycytominer. Arxiv
Stirling DR, Swain-Bowden MJ, Lucas AM, et al. (2021) CellProfiler 4: improvements in speed, utility and usability. Bmc Bioinformatics. 22: 433
Doan M, Barnes C, McQuin C, et al. (2021) Deepometry, a framework for applying supervised and weakly supervised deep learning to imaging cytometry. Nature Protocols
Hollandi R, Szkalisity A, Toth T, et al. (2020) nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer. Cell Systems. 10: 453-458.e6
Doan M, Sebastian JA, Caicedo JC, et al. (2020) Objective assessment of stored blood quality by deep learning. Proceedings of the National Academy of Sciences of the United States of America
Hung J, Goodman A, Ravel D, et al. (2020) Keras R-CNN: library for cell detection in biological images using deep neural networks. Bmc Bioinformatics. 21: 300
Doan M, Case M, Masic D, et al. (2020) Label-Free Leukemia Monitoring by Computer Vision. Cytometry. Part a : the Journal of the International Society For Analytical Cytology
Caicedo JC, Goodman A, Karhohs KW, et al. (2020) Publisher Correction: Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl. Nature Methods
Hollandi R, Szkalisity A, Toth T, et al. (2020) nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer Cell Systems. 10: 453-458.e6
Caicedo JC, Goodman A, Karhohs KW, et al. (2019) Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl. Nature Methods
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