Hiroyuki Kinoshita | Medicine and Health Sciences | Best Researcher Award

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Best Researcher Award

Hiroyuki Kinoshita
Tokushima University, Japan

Hiroyuki Kinoshita
Affiliation Tokushima University
Country Japan
Scopus ID 56214100600
Documents 187
Citations 1,816
h-index 24
Subject area Medicine and Health Sciences
Event Global Innovation Technologist Awards

The Best Researcher Award profile recognizes the scholarly work of Hiroyuki Kinoshita, affiliated with Tokushima University in Japan. His reported research record includes 187 documents, 1,816 citations, and an h-index of 24. These bibliometric indicators provide a quantitative overview of publication activity and citation influence within the indexed scholarly literature. This profile highlights his documented contributions to medicine and health sciences, including recent publications concerning perioperative management and pediatric anesthesia. [1] [2]

Abstract

Hiroyuki Kinoshita is a medical researcher associated with Tokushima University, Japan. The supplied bibliometric information reports 187 scholarly documents, 1,816 citations, and an h-index of 24. Two identified 2026 publications concern the perioperative management of severe hypermagnesemia following magnesium-containing laxative overdose and perfusion-based targets in pediatric anesthesia. These topics reflect clinical interests in perioperative safety, physiological assessment, and evidence-informed anesthetic care. The profile summarizes the available information without inferring unverified research outcomes or institutional honors. [1] [2]

Keywords

Hiroyuki Kinoshita; Tokushima University; medicine and health sciences; anesthesiology; perioperative management; pediatric anesthesia; hypermagnesemia; research impact; citation analysis; Best Researcher Award.

Introduction

Clinical research supports the development of safer medical practices by examining complications, evaluating physiological responses, and informing treatment decisions. Within this context, anesthesiology research addresses patient assessment and management before, during, and after medical procedures. Kinoshita’s two supplied publication records from 2026 provide specific examples of research addressing perioperative clinical challenges. [1] [2]

Research Profile

The supplied Scopus profile identifies the researcher through author ID 56214100600. His reported record of 187 documents and 1,816 citations provides a snapshot of scholarly output and citation activity. An h-index of 24 indicates at least 24 indexed publications with at least 24 citations each, assuming the figures refer to the same dataset and retrieval date. Bibliometric values can change as databases are updated. [3]

Research Contributions

The available article records identify two clinical research topics:

  • Perioperative management following cardiac arrest associated with severe hypermagnesemia caused by magnesium-containing laxative overdose, presented as a case report in Renal Replacement Therapy in 2026. [1]
  • Perfusion-based targets in pediatric anesthesia, discussed in the 2026 article “Bridging the Gap: From Statistical Thresholds to Perfusion-Based Targets in Pediatric Anesthesia.” [2]

These subjects concern clinical decision-making and patient safety. The supplied records do not provide sufficient full-text evidence to assess the studies’ detailed methods or clinical conclusions.

Publications

The identified 2026 publications are relevant examples of the researcher’s reported scholarly activity. The first is a case report published in Renal Replacement Therapy; the second appears in Anesthesia and Analgesia. Complete DOI identifiers were not included in the supplied records and are therefore not reproduced here. The Scopus author profile provides a starting point for verifying the broader publication list. [3]

Research Impact

The reported citation count and h-index offer complementary indicators of scholarly visibility. Citations measure references received by indexed publications, while the h-index combines publication volume with citation frequency. Neither measure independently establishes clinical effectiveness, methodological quality, or societal benefit. A balanced evaluation should also consider research originality, reproducibility, collaboration, and relevance to healthcare practice. [4]

Award Suitability

The Best Researcher Award profile, presented in connection with the Global Innovation Technologist Awards, summarizes indicators relevant to scholarly recognition. The reported publication and citation metrics, together with the two identified clinical research topics, provide a basis for further assessment. A formal award decision should additionally examine verified publication records, author contributions, research quality, and alignment with the award’s published criteria. This profile does not itself establish that an award has been conferred.

Conclusion

Hiroyuki Kinoshita’s supplied research profile documents substantial publication and citation activity in medicine and health sciences. His identified 2026 publications address perioperative management and pediatric anesthesia, illustrating clinically oriented research topics. Further evaluation using verified bibliographic records and full-text publications would provide a stronger basis for assessing research quality and award suitability.

References

  1. Anezaki, H., Kawashima, S., Kobayashi, A., et al., including Kinoshita, H. (2026). Perioperative management in a patient immediately after cardiac arrest caused by severe hypermagnesemia due to magnesium-containing laxative overdose: a case report. Renal Replacement Therapy.
  2. Kawashima, S., Kobayashi, A., Kawashima, W., Kinoshita, H., et al. (2026). Bridging the Gap: From Statistical Thresholds to Perfusion-Based Targets in Pediatric Anesthesia. Anesthesia and Analgesia.
  3. Elsevier. (n.d.). Scopus author details: Hiroyuki Kinoshita, Author ID 56214100600. Scopus. Bibliometric values reproduced from the supplied profile information.
    https://www.scopus.com/authid/detail.uri?authorId=56214100600
  4. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
    https://doi.org/10.1073/pnas.0507655102
  5. Global Innovation Technologist Awards. (n.d.). Official website. Award information and organizational details. innovationtechnologist.com

Paolo Gallo | Medicine and Health Sciences | Best Paper Award

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Best Paper Award

Paolo Gallo
Bio-Medico Campus University Hospital, Italy

                     Paolo Gallo
Affiliation Bio-Medico Campus University Hospital
Country Italy
Scopus ID 7101785311
Documents 95
Citations 1,878
h-index 25
Subject Area Medicine and Health Sciences
Event Global Innovation Technologist Awards
ORCID 0000-0001-8292-1134

The Best Paper Award recognizes scholarly work that contributes to research development, scientific understanding, and evidence-informed practice. This profile presents Paolo Gallo’s reported bibliometric indicators and selected publications concerning muscle assessment, sarcopenia, and prognostication in chronic liver disease. The recognition is associated with the Global Innovation Technologist Awards and the subject area of Medicine and Health Sciences. Publication details and identifiers provide pathways for readers to examine the underlying research.

Abstract

This academic recognition profile highlights research addressing muscle strength, body composition assessment, and clinical outcomes in chronic liver disease. The selected publications examine potential approaches to identifying sarcopenia and evaluating its prognostic significance in patients with cirrhosis and hepatocellular carcinoma. These topics connect clinical measurement with risk assessment and patient management. The profile combines the supplied publication records with reported citation indicators; it does not constitute an independent audit of bibliometric databases or a formal clinical evidence review.

Keywords

Best Paper Award; Paolo Gallo; Medicine and Health Sciences; hepatology; liver cirrhosis; hepatocellular carcinoma; sarcopenia; muscle strength; ultrasonography; bioelectrical impedance analysis; clinical prognostication; research impact.

Introduction

Chronic liver disease can be accompanied by muscle loss and reduced physical strength, factors that may influence clinical outcomes. Reliable screening and prognostic methods are therefore relevant to hepatology research. Ultrasound-based assessment and bioelectrical impedance analysis offer approaches to evaluating body composition, while investigations of muscle strength may help clarify associations with mortality. The supplied publications provide a focused view of these research questions. [1] [2]

Research Profile

The supplied profile identifies Paolo Gallo with Bio-Medico Campus University Hospital in Italy. Reported metrics include 95 documents, 1,878 citations, and an h-index of 25. These indicators describe aspects of publication output and citation activity, but they do not independently establish methodological quality, clinical effectiveness, or the contribution of individual studies. The Scopus author identifier and ORCID provide routes for checking profile information. [3]

Research Contributions

The selected work addresses three connected areas of investigation:

  • Evaluating the relationship between low muscle strength and mortality among patients with liver cirrhosis and hepatocellular carcinoma.
  • Comparing ultrasound and bioelectrical impedance analysis for sarcopenia screening in chronic liver disease.
  • Reviewing ultrasound-based skeletal muscle assessment for prognostication in cirrhosis.

Together, these topics illustrate the importance of measurable clinical indicators and the evaluation of assessment methods in liver disease research. [1] [2] [4]

Publications

  1. “The role of low muscle strength in predicting mortality in patients with liver cirrhosis and hepatocellular carcinoma.” Internal and Emergency Medicine, 16 October 2026. [1]
  2. “Comparative assessment of ultrasound and bioelectrical impedance analysis for sarcopenia screening in chronic liver disease.” Digestive and Liver Disease, October 2026. [2]
  3. “Ultrasound-Based Skeletal Muscle Assessment for Prognostication in Cirrhosis: A Systematic Review.” Liver International, October 2026. [4]

Research Impact

The reported citation count and h-index suggest that the researcher’s publications have accumulated scholarly citations. Their interpretation requires consideration of publication dates, field-specific citation practices, authorship, and database coverage. The selected research themes have potential relevance to clinical assessment and future studies of muscle health in liver disease; practical implications should be determined from the full articles and supporting evidence.

Award Suitability

The Best Paper Award profile aligns with scholarly work in Medicine and Health Sciences through its focus on clinically relevant research questions and assessment methods. The listed publications and bibliometric indicators offer context for evaluating research activity. Final award decisions and claims of formal selection should be confirmed against official award records; this page does not independently verify an award outcome.

Conclusion

Paolo Gallo’s supplied research profile combines established bibliometric indicators with publications addressing sarcopenia, muscle assessment, and outcomes in chronic liver disease. These subjects represent a clinically relevant area of investigation within Medicine and Health Sciences. Author identifiers and DOI links enable further verification of the profile and publication records.

References

  1. “The role of low muscle strength in predicting mortality in patients with liver cirrhosis and hepatocellular carcinoma.” (2026). Internal and Emergency Medicine.
    https://doi.org/10.1007/s11739-026-04548-y
  2. “Comparative assessment of ultrasound and bioelectrical impedance analysis for sarcopenia screening in chronic liver disease.” (2026). Digestive and Liver Disease.
    https://doi.org/10.1016/j.dld.2026.10.009
  3. Elsevier. (n.d.). Scopus author details: Paolo Gallo, Author ID 7101785311. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7101785311
  4. “Ultrasound-Based Skeletal Muscle Assessment for Prognostication in Cirrhosis: A Systematic Review.” (2026). Liver International.
    https://doi.org/10.1111/liv.70891
  5. ORCID. (n.d.). Paolo Gallo researcher identifier.
    https://orcid.org/0000-0001-8292-1134
  6. Global Innovation Technologist Awards. (n.d.). Official award website.
    innovationtechnologist.com

Mahdi Ahmed | Medicine and Health Sciences | Innovative Research Award

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Innovative Research Award

Mahdi Ahmed
University of Liverpool, United Kingdom

                  Mahdi Ahmed
Affiliation University of Liverpool
Country United Kingdom
Documents 2
Subject Area Medicine and Health Sciences
Event Global Innovation Technologist Awards
ORCID 0009-0003-2130-2243

The Innovative Research Award profile presents the supplied scholarly information for Mahdi Ahmed, affiliated with the University of Liverpool in the United Kingdom. Associated publication details cover vaccine nanotechnology and cardiovascular mortality research. These subjects connect biomedical investigation with public health priorities, disease prevention and the interpretation of population-level health outcomes. Publication metadata provides a starting point for examining research themes, while independent author-profile verification is necessary to establish attribution and bibliometric performance. [1] [2]

Abstract

This article outlines the supplied research profile and two publications relevant to medicine and health sciences. One examines nanotechnology-enabled vaccines for major infectious diseases, emphasizing translational evidence and implementation in the Global South. The other investigates cardiac arrest and cardiomyopathy-related mortality trends and disparities in the United States from 1999 to 2025. Together, these topics illustrate distinct approaches to health research: developing vaccine technologies and analyzing mortality patterns. The available information does not independently establish authorship, citation totals or award outcomes. [1] [2]

Keywords

Innovative research; medicine and health sciences; nanotechnology-enabled vaccines; infectious diseases; cardiovascular mortality; public health; translational research; health disparities; research evaluation.

Introduction

Biomedical innovation addresses challenges ranging from infectious disease prevention to the assessment of cardiovascular outcomes. Research in these areas may inform vaccine development, health policy and future investigations, although practical benefits depend on the strength of the evidence and subsequent validation. The supplied publications provide a basis for describing these research themes without assuming unverified individual contributions. [1] [2]

Research Profile

The supplied profile identifies Mahdi Ahmed with the University of Liverpool and the United Kingdom. The stated subject area is Medicine and Health Sciences, and the provided ORCID identifier offers a route for checking researcher identity and associated records. Scopus author identification, verified citation totals and h-index information remain unavailable and should be added only after checking authoritative databases.

Research Contributions

The vaccine-focused publication addresses nanotechnology-enabled approaches for malaria, tuberculosis, HIV and dengue, with attention to translational evidence and implementation in the Global South. The cardiovascular study concerns mortality patterns associated with cardiac arrest and cardiomyopathy, including temporal trends and disparities in the United States. These topics represent complementary research priorities, but detailed methods, findings and individual author contributions require review of the full articles. [1] [2]

Publications

  1. Nanotechnology-Enabled Vaccines for Malaria, Tuberculosis, HIV, and Dengue: Translational Evidence and Implementation in the Global South. Nanomaterials, published 20 October 2026. [1]
  2. Cardiac Arrest and Cardiomyopathy Related Mortality in the United States, 1999-2025: Trends and Disparities. ASIDE Cardiovascular, published 3 April 2026. [2]

Research Impact

Potential relevance includes informing research on vaccine delivery and infectious disease prevention, alongside improving understanding of cardiovascular mortality and population disparities. Actual impact should be assessed through verified citations, methodological quality, independent uptake and evidence of clinical or policy application. No citation count or h-index is asserted here because these metrics were not supplied.

Award Suitability

The supplied topics align broadly with the Global Innovation Technologist Awards’ emphasis on research and innovation. A fair assessment for an Innovative Research Award should examine originality, publication quality, methodological rigor, documented contribution and potential societal value. The available metadata supports a preliminary subject-based description, not a confirmed award decision or independently verified evaluation of the named researcher.

Conclusion

The two supplied publications address important questions in infectious disease prevention and cardiovascular public health. Their themes provide a useful starting point for reviewing biomedical research activity. Confirming researcher attribution and assessing individual achievement require verified author records, full-text analysis and reliable bibliometric evidence.

References

  1. Nanomaterials. (2026). Nanotechnology-Enabled Vaccines for Malaria, Tuberculosis, HIV, and Dengue: Translational Evidence and Implementation in the Global South. DOI: 10.3390/nano16201326.
    https://doi.org/10.3390/nano16201326
  2. ASIDE Cardiovascular. (2026). Cardiac Arrest and Cardiomyopathy Related Mortality in the United States, 1999-2025: Trends and Disparities. DOI: 10.71079/ASIDE.CV.040326320.
    https://doi.org/10.71079/ASIDE.CV.040326320
  3. ORCID. (n.d.). Mahdi Ahmed researcher identifier and public profile.
    https://orcid.org/0009-0003-2130-2243
  4. University of Liverpool. (n.d.). Official institutional website.
  5. Elsevier. (n.d.). Scopus abstract and citation database. Researcher metrics and author attribution should be verified against the relevant author record.
  6. Global Innovation Technologist Awards. (n.d.). Official award website and programme information.
    innovationtechnologist.com

Raja Vavekanand | Medical Imaging | Young Scientist Award

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Mr. Raja Vavekanand | Medical Imaging | Young Scientist Award

AI Researcher at Datalink Research and Technology Lab, Islamkot, Pakistan

I am a dedicated AI researcher with a strong focus on the intersection of artificial intelligence and healthcare. My core research lies in developing machine learning and deep learning frameworks to enhance medical imaging, particularly in the areas of image segmentation, classification, and generative AI techniques. I aim to make diagnostics more accurate and accessible by leveraging state-of-the-art models such as convolutional neural networks and large language models. My contributions have been recognized in reputed peer-reviewed journals and international conferences. I am committed to academic excellence, collaborative innovation, and impactful research that can transform healthcare systems globally.

Publication Profile 

Scopus

Educational Background 🎓

Bachelor of Science in Information Technology
Benazir Bhutto Shaheed University Lyari, Karachi
Jan 2020 – Feb 2024

  • Final Year Project: IoT-Based Industrial Water Pollution Evaluation System

  • GPA: 3.25/4.0

Intermediate in Pre-Engineering
Board of Intermediate & Secondary Education, Mirpurkhas
Jun 2017 – Aug 2019

  • Grade: A

Professional Experience 💼

AI Researcher
Datalink Research and Technology Lab
March 2024 – Present

  • Conducting advanced research in deep learning, medical imaging, and generative AI

  • Developing and training novel models for healthcare diagnostics

  • Contributing to collaborative research publications in peer-reviewed journals

Research Assistant
Faculty of Computer Science & Information Technology, BBSUL
Feb 2023 – Sept 2023

  • Supervised by Dr. Anwar Ali Sathio on the “Industrial Water Quality Classifications” project

  • Involved in IoT sensor data collection, model training, and accuracy optimization

  • Prepared research documentation and assisted in report drafting

Research Interests 🔬

  • Deep Learning & Computer Vision in Medical Imaging

  • Medical Image Segmentation and Classification

  • Generative AI in Healthcare Diagnostics

  • Data Augmentation for Biomedical Applications

  • Large Language Models in Medical NLP

  • IoT and Machine Learning Integration for Environmental Monitoring

Awards and Honors🏆✨

  • Associate Editor | Journal of Computing Intelligence (2024–2026)

  • Editorial Board Member | Medical Data Mining Journal (2024–2025)

  • Reviewer | IEEE Internet of Things Journal

  • Reviewer | Computer Methods in Biomechanics and Biomedical Engineering

  • Reviewer | IECE Transactions on Emerging Topics in Artificial Intelligence

  • Reviewer | Computology: Journal of Applied Computer Science and Intelligent Technologies

  • Campus Director | Hult Prize Foundation (2021–2022)

  • Literacy Ambassador | World Literacy Foundation (2020–2021)

  • Youth Volunteer | United Nations Association of Pakistan (2020–2023)

Conclusion🌟

With a solid academic foundation, active research pipeline, and growing influence in the academic and scientific communities, I am committed to advancing the role of AI in medicine. My goal is to contribute to innovative, real-world solutions that enhance diagnostic accuracy, medical accessibility, and clinical efficiency. Through continuous learning and interdisciplinary collaboration, I aspire to become a thought leader in AI-driven healthcare transformation.

Publications 📚

  1. 🧠 CardioMix: A Multimodal Image-Based Classification Pipeline for Enhanced ECG Diagnosis
    📖 Medical Data Mining | 📊 IF: 3.2 | 🏷 Q4
    👥 Sam, K., Nawaz, S., & Vavekanand, R.*
    🔗 DOI: 10.53388/mdm202508006

  2. 🧬 NMRGen: A Generative Modeling Framework for Molecular Structure Prediction from NMR Spectra
    📖 IECE Transactions on Emerging Topics in Artificial Intelligence | 📊 IF: 3.4
    👤 Vavekanand, R.
    🔗 DOI: 10.62762/TETAI.2024.277656

  3. ❤️ CardiacNet: A Neural Networks Based Heartbeat Classification using ECG Signals
    📖 Studies in Medical and Health Sciences | 📊 IF: 2.6
    👥 Vavekanand, R., Sam, K., Kumar, S., & Kumar, T.
    🔗 DOI: 10.48185/smhs.v1i2.1188

  4. 🔬 Data Augmentation of Ultrasound Imaging for Non-Invasive White Blood Cell in Peritoneal Dialysis
    📖 Biomedical Engineering Communications | 📊 IF: 1.9 | 🏷 Q4
    👥 Vavekanand, R., Kumar, T.
    🔗 DOI: 10.53388/BMEC2024017

  5. 💓 Recognizing Mitral Regurgitation Through ML in Cardiac Imaging
    📖 Cardiology & Vascular Research
    👥 Singh, V., Anwar, S., & Vavekanand, R.

  6. 💻 A Machine Learning Approach for Imputing ECG Missing Healthcare Data
    📖 Applied Computing Journal | 📊 IF: 1.4
    👤 Vavekanand, R.
    🔗 DOI: 10.2139/ssrn.4857084

  7. 🧍‍♂️ SUBMIP: Smart Human Body Health Prediction System Based on Medical Image Processing
    📖 Studies in Medical and Health Sciences | 📊 IF: 2.6
    👤 Vavekanand, R.
    🔗 DOI: 10.48185/smhs.v1i1.1141

  8. 🧠 LLMediSeg: Large Language Models for Medical Image Segmentation
    📍 3rd International Conference on Biomedical Engineering and Science (ICBES)
    👥 Vavekanand, R., Kumar, T., & Sam, K.

  9. 🧠 NeuroDNet: MRI-Based Brain Tumor Recognition
    📍 DEVTHON 5.0 International Interdisciplinary Conference (BDIIC-2024)
    🔗 DOI: 10.2139/ssrn.4827019

  10. 🏥 MediLingua: LLM for Medical Diagnosis & Report Generation
    📍 8th LNH Symposium, Jan 2025
    👤 Vavekanand, R.

 

 

 

 

Ke Qi | Imaging Technology | Best Researcher Award

Published on by Innovation Technologist

Ms. Ke Qi | Imaging Technology | Best Researcher Award

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 

  1. Ultra-low Radiation & Contrast Medium Dosage in Aortic CTA
    • Journal: Academic Radiology (2024)
    • Focus: Deep Learning reconstruction to enhance image quality with minimal radiation
  2. Optimized Contrast Enhancement in Aortic CT Angiography
    • Journal: Quant Imaging Med Surg (2025)
    • Focus: Personalized bolus tracking for improved contrast homogeneity
  3. Patient-Specific Delay in Coronary CT Angiography
    • Journal: European Journal of Radiology (2023)
    • Focus: Comparison of individualized post-trigger delay with standard protocols
  4. Individualized Post-Trigger Delay in Head & Neck CT Angiography
    • Journal: European Journal of Radiology (2023)
    • Focus: Enhancing image quality through optimized scan timing
  5. 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
🔗 Show abstract (Disabled) | Related documents (Disabled)
🔢 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
🔗 Show abstract (Disabled)
🔢 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
🔗 Show abstract (Disabled) | Related documents (Disabled)
🔢 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
🔗 Show abstract (Disabled) | Related documents (Disabled)
🔢 4 Citations