Zheng Cui, Ph.D.

Affiliations: 
2013 Computer Science Florida International University, Miami, FL, United States 
Area:
Computer Engineering, Remote Sensing
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"Zheng Cui"

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Shu-Ching Chen grad student 2013 Florida International
 (A generalized adaptive mathematical morphological filter for LIDAR data.)
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Publications

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Wang J, Mei T, Liu Y, et al. (2021) Dual-targeted and MRI-guided photothermal therapy iron-based nanoparticles-incorporated neutrophils. Biomaterials Science
Zheng Z, Zhang Y, Liu Y, et al. (2021) Metabolic degradation of lentinan in liver mediated by CYP450 enzymes and epoxide hydrolase. Carbohydrate Polymers. 253: 117255
Song W, Cui Z, Liu H, et al. (2020) The expression and prognostic value of miR-195-5p in patients with advanced gastric cancer after chemotherapy. Journal of B.U.On. : Official Journal of the Balkan Union of Oncology. 25: 2332-2340
Liu Y, Eckenrode JM, Zhang Y, et al. (2020) Mithramycin 2'-Oximes with Improved Selectivity, Pharmacokinetics, and Ewing Sarcoma Antitumor Efficacy. Journal of Medicinal Chemistry
Liu L, Hu N, An Y, et al. (2020) AgO and NiO Decorated CuFeO with Enhanced Photocatalytic Performance to Improve the Degradation Efficiency of Methylene Blue. Materials (Basel, Switzerland). 13
Luo M, Zhu M, Wei M, et al. (2020) Radiation-Hard and Repairable Complementary Metal-Oxide-Semiconductor Circuits Integrating n-type Indium Oxide and p-type Carbon Nanotube Field-Effect Transistors. Acs Applied Materials & Interfaces
Mei H, Wu N, Huang X, et al. (2020) Possible mechanisms by which silkworm faeces extract ameliorates adenine-induced renal anaemia in rats. Journal of Ethnopharmacology. 113448
Portilla L, Zhao J, Yan W, et al. (2020) Ambipolar Deep-Subthreshold Printed-Carbon-Nanotube Transistors for Ultralow-Voltage and Ultralow-Power Electronics. Acs Nano
Huang TQ, Bi YN, Cui Z, et al. (2020) MUC1 confers radioresistance in head and neck squamous cell carcinoma (HNSCC) cells. Bioengineered. 11: 769-778
Wang L, Tan J, Ge Y, et al. (2020) Assessment of liver metastases radiomic feature reproducibility with deep-learning-based semi-automatic segmentation software. Acta Radiologica (Stockholm, Sweden : 1987). 284185120922822
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