Mo Deng, Ph.D. - Publications

Affiliations: 
2011 University of Illinois at Chicago, Chicago, IL, United States 
Area:
Applied Mathematics, Bioinformatics Biology

7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
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  0.426
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  0.506
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  0.471
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  0.556
Show low-probability matches.