Mo Deng, Ph.D. - Publications
Affiliations: | 2011 | University of Illinois at Chicago, Chicago, IL, United States |
Area:
Applied Mathematics, Bioinformatics BiologyYear | Citation | Score | |||
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2020 | Deng M, Li S, Zhang Z, Kang I, Fang NX, Barbastathis G. On the interplay between physical and content priors in deep learning for computational imaging. Optics Express. 28: 24152-24170. PMID 32752400 DOI: 10.1364/Oe.395204 | 0.583 | |||
2020 | Deng M, Li S, Goy A, Kang I, Barbastathis G. Learning to synthesize: robust phase retrieval at low photon counts. Light, Science & Applications. 9: 36. PMID 32194950 DOI: 10.1038/S41377-020-0267-2 | 0.578 | |||
2020 | Deng M, Goy A, Li S, Arthur K, Barbastathis G. Probing shallower: perceptual loss trained Phase Extraction Neural Network (PLT-PhENN) for artifact-free reconstruction at low photon budget. Optics Express. 28: 2511-2535. PMID 32121939 DOI: 10.1364/Oe.381301 | 0.553 | |||
2018 | Li S, Deng M, Lee J, Sinha A, Barbastathis G. Imaging through glass diffusers using densely connected convolutional networks Optica. 5: 803. DOI: 10.1364/OPTICA.5.000803 | 0.425 | |||
2014 | Yu C, Deng M, Zheng L, He RL, Yang J, Yau SS. DFA7, a new method to distinguish between intron-containing and intronless genes. Plos One. 9: e101363. PMID 25036549 DOI: 10.1371/Journal.Pone.0101363 | 0.504 | |||
2013 | Yu C, Deng M, Cheng SY, Yau SC, He RL, Yau SS. Protein space: a natural method for realizing the nature of protein universe. Journal of Theoretical Biology. 318: 197-204. PMID 23154188 DOI: 10.1016/J.Jtbi.2012.11.005 | 0.469 | |||
2011 | Deng M, Yu C, Liang Q, He RL, Yau SS. A novel method of characterizing genetic sequences: genome space with biological distance and applications. Plos One. 6: e17293. PMID 21399690 DOI: 10.1371/Journal.Pone.0017293 | 0.553 | |||
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