Allen Goodman
Affiliations: | 2015- | Imaging Platform | Broad Institute, Cambridge, MA, United States |
Area:
Software EngineeringGoogle:
"Allen Goodman"
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Publications
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| Moshkov N, Bornholdt M, Benoit S, et al. (2024) Learning representations for image-based profiling of perturbations. Nature Communications. 15: 1594 |
| 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 |