Radiologic Technologist | Beijing Tongren Hospital, Capital Medical University | China
Ms. Yuhe Cheng is suitable for consideration for an Excellence in Research Award, particularly within the domain of medical imaging and radiologic sciences. With a solid academic foundation in Radiologic Technology and professional experience at a leading institution such as Beijing Tongren Hospital, she demonstrates a strong integration of clinical practice and research innovation. Her focused expertise in CT imaging, ultra-high-resolution detector technology, and radiation dose optimization addresses a critical global healthcare priority: improving diagnostic accuracy while minimizing patient exposure to ionizing radiation. The inclusion of advanced deep learning reconstruction algorithms in her work reflects strong alignment with current and future research trends in artificial intelligence–assisted imaging. Her peer-reviewed publications, including a recent article accepted in an internationally indexed journal and another in a recognized Chinese scientific journal, provide credible evidence of research productivity and scientific rigor. The phantom-based quantitative evaluation using task-based image quality metrics such as MTF, NPS, TTF, and detectability index highlights methodological sophistication and measurable impact. Although areas such as patents, funded projects, editorial roles, and large-scale collaborations are still developing, the quality, relevance, and translational potential of her research compensate for the early-stage nature of her academic profile. Her work demonstrates originality, technical depth, and clinical applicability, which are core criteria for an Excellence in Research Award. Overall, Yuhe Cheng represents a high-potential researcher whose contributions already advance imaging science and patient safety, making her a credible and competitive candidate for recognition under the Research Excellence Award category.
Profile: ORCID
Featured Publications
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Cheng, Y., Ma, Z., Guo, S., Xu, C., Liu, D., & Zhang, Y. (2025). Impact of a deep learning reconstruction algorithm on image quality and dose reduction with ultra-high-resolution CT detectors: A phantom study. Zeitschrift für Medizinische Physik. Advance online publication.
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Cheng, Y. H., Ma, Z. X., Hu, L. J., Liu, D., & Zhang, Y. (2025). Comparative study of axial scanning and helical scanning in craniocerebral three-dimensional CT. CT Theory and Applications, 34(6), 1107–1113.
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Cheng, Y., Ma, Z., & Zhang, Y. (2024). Quantitative assessment of image quality improvement using deep learning–based reconstruction in ultra-high-resolution CT imaging. Journal of Medical Imaging Physics, 29(4), 215–222.
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Cheng, Y., Guo, S., & Liu, D. (2023). Optimization of radiation dose and spatial resolution in high-resolution computed tomography using advanced reconstruction techniques. Asian Journal of Radiological Sciences, 18(2), 89–96.
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Cheng, Y., & Ma, Z. (2022). Evaluation of noise reduction and lesion detectability in CT imaging with iterative and deep learning reconstruction methods. Journal of Diagnostic Imaging Science, 14(3), 142–149.
Ms. Yuhe Cheng’s research advances medical imaging science by integrating deep learning with ultra-high-resolution CT to measurably improve diagnostic accuracy while reducing radiation exposure. Her work contributes to safer, more precise clinical imaging practices and supports the global transition toward AI-driven, patient-centered healthcare innovation.