Postgraduate student at First Affiliated Hospital of Zhengzhou University, China
Ke Qi is a graduate student at Zhengzhou University and a researcher at the Affiliated Hospital of Zhengzhou University, specializing in medical imaging, CT angiography, and deep learning applications in radiology. With multiple academic honors, including the Zhengzhou University Outstanding Student Scholarship, Ke Qi has published extensively on optimizing contrast enhancement, radiation dose reduction, and AI-driven image quality improvements. Their research focuses on personalized imaging techniques to enhance diagnostic accuracy while minimizing risks, contributing to advancements in radiology and medical AI applications.
Publication Profile
Scopus
Educational Background 🎓
- Undergraduate Studies:
- Zhengzhou University
- Received multiple scholarships and merit-based awards
- Postgraduate Studies:
- 2023-2024: Graduate Student at Zhengzhou University
- Awarded the Zhengzhou University Outstanding Student Scholarship First Prize
Professional Experience 💼
- Affiliation: Affiliated Hospital of Zhengzhou University
- Specialization: Medical Imaging, Radiology, and Deep Learning in CT Angiography
- Research Contributions: Published multiple articles in high-impact journals on CT imaging, radiation reduction, and AI-based image enhancement
Research Interests 🔬
- Medical Imaging & Radiology
- CT Angiography (CTA) and Contrast Optimization
- Deep Learning in Medical Imaging
- Radiation Dose Reduction Techniques
- Personalized Post-Trigger Delay in Imaging
Awards and Honors🏆✨
- Undergraduate Level:
- Multiple scholarships from Zhengzhou University (2019-2023), including:
- Outstanding Student Scholarship (First & Second Prizes)
- Three Merit Student Recognition
- New Oriental Education Scholarship
- Postgraduate Level:
- Outstanding Student Scholarship First Prize (2023-2024)
Key Research Contributions
- Ultra-low Radiation & Contrast Medium Dosage in Aortic CTA
- Journal: Academic Radiology (2024)
- Focus: Deep Learning reconstruction to enhance image quality with minimal radiation
- Optimized Contrast Enhancement in Aortic CT Angiography
- Journal: Quant Imaging Med Surg (2025)
- Focus: Personalized bolus tracking for improved contrast homogeneity
- Patient-Specific Delay in Coronary CT Angiography
- Journal: European Journal of Radiology (2023)
- Focus: Comparison of individualized post-trigger delay with standard protocols
- Individualized Post-Trigger Delay in Head & Neck CT Angiography
- Journal: European Journal of Radiology (2023)
- Focus: Enhancing image quality through optimized scan timing
- Low Flow Rate Abdominal Contrast-Enhanced CT for Chemotherapy Patients
- Journal: Journal of Computer-Assisted Tomography (2024)
- Focus: Using dual-source CT for low-dose, high-quality imaging
Conclusion🌟
Ke Qi is an emerging researcher in medical imaging, specializing in CT angiography and AI-driven image enhancement. With a strong academic background and numerous awards, their research significantly contributes to improving imaging quality while reducing radiation exposure. Their work, published in leading radiology journals, highlights innovation in personalized imaging techniques, making them a promising name in the field of radiology and medical AI applications.
Publications 📚
📄 Article • Open access
Optimized contrast enhancement and homogeneity in aortic CT angiography: Bolus tracking with personalized post-trigger delay
🖊️ Qi, K., Li, L., Yuan, D., … Gao, J., Liu, J.
📚 Quantitative Imaging in Medicine and Surgery, 2025, 15(1), pp. 709–720
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🔢 0 Citations
📄 Article
Feasibility Analysis of Individualized Low Flow Rate Abdominal Contrast-Enhanced Computed Tomography in Chemotherapy Patients: Dual-Source Computed Tomography With Low Tube Voltage
🖊️ Zhang, Y., Yuan, D., Qi, K., … Gao, J., Liu, J.
📚 Journal of Computer Assisted Tomography, 2024, 48(6), pp. 844–852
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🔢 1 Citation
📄 Article • In Press
Feasibility of Ultra-low Radiation and Contrast Medium Dosage in Aortic CTA Using Deep Learning Reconstruction at 60 kVp: An Image Quality Assessment
🖊️ Qi, K., Xu, C., Yuan, D., … Gao, J., Liu, J.
📚 Academic Radiology, 2024
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🔢 0 Citations
📄 Article
Image quality improvement in head and neck CT angiography: Individualized post-trigger delay versus fixed delay
🖊️ Yuan, D., Li, L., Zhang, Y., … Gao, J., Liu, J.
📚 European Journal of Radiology, 2023, 168, 111142
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🔢 4 Citations