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D. Michael Ando
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2020 – today
- 2023
- [i2]Lucas Kreiss, Shaowei Jiang, Xiang Li, Shiqi Xu, Kevin C. Zhou, Alexander Mühlberg, Kyung Chul Lee, Kanghyun Kim, Amey Chaware, D. Michael Ando, Laura Barisoni, Seung Ah Lee, Guoan Zheng, Kyle Lafata, Oliver Friedrich, Roarke Horstmeyer:
Digital staining in optical microscopy using deep learning - a review. CoRR abs/2303.08140 (2023) - 2021
- [c1]Colin L. V. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer:
Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy. ICCV 2021: 3783-3793 - 2020
- [i1]Colin L. V. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer:
Physics-enhanced machine learning for virtual fluorescence microscopy. CoRR abs/2004.04306 (2020)
2010 – 2019
- 2018
- [j1]Samuel J. Yang, Marc Berndl, D. Michael Ando, Mariya Barch, Arunachalam Narayanaswamy, Eric Christiansen, Stephan Hoyer, Chris Roat, Jane Hung, Curtis T. Rueden, Asim Shankar, Steven Finkbeiner, Philip Nelson:
Assessing microscope image focus quality with deep learning. BMC Bioinform. 19(1): 77:1-77:9 (2018) - 2015
- [b1]D. Michael Ando:
Automated, High-throughput Analysis of Neurite Dynamics in Neurodegenerative Disease. University of California, San Francisco, USA, 2015
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