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ORCIDLinda S. Powers
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2010 – 2019
- 2019
[c4]Siteng Chen, Ao Li
, Kathleen Lasick, Julie Huynh, Linda S. Powers, Janet Roveda, Andrew Paek:
Weakly Supervised Deep Learning for Detecting and Counting Dead Cells in Microscopy Images. ICMLA 2019: 1737-1743- [c3]Kemeng Chen, Ning Zhang, Linda S. Powers, Janet Roveda:
Cell Nuclei Detection and Segmentation for Computational Pathology Using Deep Learning. SpringSim 2019: 1-6 - 2014
- [c2]He Zhou, Linda S. Powers, Janet Roveda:
Collision array based workload assignment for Network-on-Chip concurrency. SoCC 2014: 188-191 - 2013
- [c1]Janet Roveda, Dung Nguyen, Linda S. Powers, Kui Ren, Jerrie Fairbanks:
Effective signal region based analog mixed signal design considering variations and applications. SoCC 2013: 233-238
2000 – 2009
- 2006
- [j2]Bruce R. Copeland, Min Chen, Brad D. Wade, Linda S. Powers:
A noise-driven strategy for background estimation and event detection in data streams. Signal Process. 86(12): 3739-3751 (2006) - 2003
- [j1]Christopher R. Lloyd, Florine C. Cleary, Hea-Young Kim, Cory R. Estes, Andrew G. Duncan, Brad D. Wade, Walter R. Ellis, Linda S. Powers:
Is what you eat and drink safe? Detection and identification of microbial contamination in foods and water. Proc. IEEE 91(6): 908-914 (2003)
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