Shuangshuang Yan | Cardiovascular direction | Best Researcher Award

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Ms. Shuangshuang Yan | Cardiovascular direction | Best Researcher Award

Ms. Shuangshuang Yan, The Third People,s Hospital of Chengdu,The Affiliated Hospital of Southwest Jiaotong University, China

Dr. Shuangshuang Yan is a dedicated resident doctor at The Third People's Hospital of Chengdu, affiliated with Southwest Jiaotong University. With a strong academic foundation in clinical and nuclear medicine, she has emerged as a promising figure in cardiovascular imaging and diagnostics. Dr. Yan completed her bachelor's in Clinical Medicine and earned a master’s degree in Imaging and Nuclear Medicine, both from Southwest Medical University. Her current role involves frontline medical care, patient imaging assessments, and team coordination. She also engages in digital medical communications, significantly improving patient outreach through targeted digital strategies. Her commitment to accurate diagnostics, empathetic patient care, and evolving cardiovascular imaging technologies underscores her growing influence in the field. With a proactive vision for the future of medicine, Dr. Yan exemplifies the ideal candidate for recognition in the field of cardiovascular direction.

Professional Profile

Scopus

Suitability Summary for Best Researcher Award

Shuangshuang Yan is a highly dedicated and accomplished resident doctor whose educational and professional background places her as a strong contender for the "Research for Best Researcher Award." With a solid academic foundation, Shuangshuang completed her Bachelor of Clinical Medicine at Southwest Medical University, followed by a Master’s degree in Imaging Medicine and Nuclear Medicine from the same institution. These qualifications have shaped her deep understanding of both the clinical and research domains.

Since 2019, Shuangshuang has worked at The Third People’s Hospital of Chengdu, where she plays a critical role in advancing medical research through the application of modern imaging and nuclear medicine techniques. Her contribution to the development of digital strategies within the hospital is a testament to her innovative mindset, further evidenced by her leadership in improving website traffic by 40%. This integration of research with digital marketing also reflects her unique ability to bridge traditional medicine with modern technological tools.

Education 

Dr. Yan began her academic journey at Southwest Medical University in Luzhou, where she pursued a Bachelor of Clinical Medicine (2011–2016). During this time, she developed foundational knowledge in anatomy, pathology, internal medicine, and cardiovascular physiology. With a growing interest in diagnostic imaging, she advanced her studies and completed a Master’s degree in Imaging Medicine and Nuclear Medicine (2016–2019) at the same institution. This postgraduate education provided her with advanced training in radiologic techniques, nuclear diagnostics, and cardiovascular imaging modalities. Her master's thesis focused on nuclear imaging applications in diagnosing cardiovascular anomalies, which laid the groundwork for her clinical expertise. Her academic record reflects both a rigorous understanding of modern diagnostics and a genuine passion for patient-centric care. She consistently demonstrated excellence in theoretical exams and hands-on clinical rotations, paving the way for her residency and emerging career in cardiovascular diagnostics.

Professional Experience

Since 2019, Dr. Shuangshuang Yan has served as a resident doctor at The Third People's Hospital of Chengdu, affiliated with Southwest Jiaotong University. In this role, she has become a key contributor to the hospital's diagnostic imaging team, specializing in cardiovascular cases. Her clinical responsibilities include conducting and interpreting imaging scans, supporting interventional procedures, and contributing to multidisciplinary treatment planning. In addition to her medical responsibilities, Dr. Yan has demonstrated leadership and initiative by mentoring interns and coordinating digital outreach strategies. Notably, she spearheaded a digital marketing initiative that resulted in a 40% increase in online patient engagement and traffic to the hospital's information portal. Her professional experience reflects a blend of technical proficiency, teamwork, innovation, and patient-oriented service. She exemplifies modern medical professionals who combine clinical excellence with digital-savvy communication strategies to enhance overall healthcare delivery.

Awards and Recognition 

While still early in her professional journey, Dr. Shuangshuang Yan has gained local recognition for her consistent excellence in diagnostics and imaging. During her postgraduate studies, she was awarded the Outstanding Postgraduate Research Award by Southwest Medical University for her thesis on cardiovascular nuclear imaging. In 2021, she received the Hospital Innovation Recognition Certificate for her role in enhancing patient outreach via digital platforms. Her leadership in training junior interns and promoting public awareness campaigns on heart health also earned her the Young Medical Contributor Commendation from her department. These recognitions highlight her dedication, early career achievements, and growing reputation in both clinical practice and community engagement. As she continues to innovate and contribute to cardiovascular healthcare, Dr. Yan is poised to gain broader recognition across national and international medical platforms.

Research Skill On Cardiovascular direction

Dr. Yan’s research skills are centered on cardiovascular imaging, nuclear medicine diagnostics, and clinical radiology applications. Her expertise includes operating and interpreting results from MRI, CT, PET-CT, and echocardiography for cardiovascular pathologies. During her postgraduate training, she honed skills in imaging biomarkers, early detection of myocardial ischemia, and comparative studies of imaging modalities. She is proficient in data collection, statistical analysis using SPSS, and case-based retrospective studies. Dr. Yan also engages in literature reviews to inform clinical protocols and integrates evidence-based approaches in her practice. Beyond technical proficiency, she collaborates effectively in research teams, often bridging clinical insights with imaging interpretations. Her ability to translate complex diagnostic findings into clear, patient-relevant outcomes marks her as a vital contributor in cardiology-imaging interfaces. Her research mindset continually aligns with her mission to elevate the standards of cardiovascular diagnostics and early intervention.

  Publication Top Notes

Title: The poor performance of cardiovascular risk scores in identifying patients with idiopathic inflammatory myopathies at high cardiovascular risk
Authors: L. Qin, Q. Luo, Y. Hu, F. Xiong, H. Wang
Citation: Qin, L., Luo, Q., Hu, Y., Xiong, F., & Wang, H. (2023). The poor performance of cardiovascular risk scores in identifying patients with idiopathic inflammatory myopathies at high cardiovascular risk. Open Medicine (Poland), 2023.
Year: 2023

Diana Sitarcikova | Radiology | Best Researcher Award

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Mrs. Diana Sitarcikova | Radiology | Best Researcher Award

👤  Mrs. Diana Sitarcikova, Medical University Vienna, Austria

Diana Sitarcikova (née Bencikova) is a dedicated PhD student specializing in medical physics at the Medical University of Vienna. With a strong foundation in biomedical physics, she has developed expertise in advanced imaging techniques, including MRI and liver evaluation. Her research focuses on multi-parametric non-invasive diagnostic methods, combining texture analysis and machine learning to enhance diagnostic accuracy in radiology. Diana’s academic journey began at Comenius University in Bratislava, where she completed her bachelor’s and master’s degrees. She has co-authored numerous publications in esteemed journals, showcasing her contributions to liver and cartilage imaging. Proficient in Python, R, and MATLAB, Diana is skilled in data analysis, machine learning, and image processing. Her linguistic abilities in Slovak, English, and German further enrich her collaborative potential. Committed to innovation, Diana actively participates in international conferences and workshops, advancing her knowledge and sharing her expertise in the evolving field of biomedical imaging.

Professional Profile

Orcid

🌟 Evaluation of Diana Sitarcikova for the Research for Best Researcher Award

Summary of Suitability: Diana Sitarcikova, an accomplished researcher in the field of biomedical imaging and medical physics, demonstrates exceptional academic and professional qualifications that make her a strong candidate for the Research for Best Researcher Award. Her education, spanning from a Bachelor’s to a Ph.D., reflects a consistent focus on biomedical physics with groundbreaking thesis work in non-invasive liver and cartilage evaluation using advanced imaging techniques. Her educational trajectory is complemented by prestigious scholarships, such as the Aktion Austria-Slovakia grant, showcasing her academic excellence.

Diana’s research output is prolific and impactful. She has authored high-quality journal articles and presented at prestigious international conferences, including the ISMRM and ESMRMB annual meetings. Her work on liver fibrosis classification using machine learning and texture analysis is particularly noteworthy, blending advanced imaging with computational approaches to address critical medical challenges. The breadth of her research, from liver MRI to cartilage imaging and brain spectroscopy, underscores her versatility and depth of expertise.

🎓  Education

Diana Sitarcikova’s academic journey is marked by excellence and a strong focus on biomedical physics. She is currently pursuing her PhD in Medical Physics at the Medical University of Vienna, where her research centers on multi-parametric non-invasive liver evaluation using advanced MRI techniques. She earned her Master’s degree in Biomedical Physics from Comenius University, Bratislava, with a thesis focused on non-invasive monitoring of the hepatobiliary system. During her Bachelor’s studies at the same institution, Diana explored phosphorus magnetic resonance spectroscopic imaging, comparing the quality of imaging at different field strengths and receiver configurations. Her academic achievements have been recognized through prestigious scholarships, including support from Aktion Austria-Slovakia. Diana’s educational background reflects her dedication to the integration of physics and medicine, equipping her with the skills to tackle complex challenges in biomedical imaging and diagnostics.

💼   Professional Experience

Diana Sitarcikova’s professional experience is deeply rooted in cutting-edge research and development in biomedical imaging. As a PhD student at the Medical University of Vienna, she has conducted extensive research on liver and cartilage imaging, utilizing advanced techniques such as T1, T2, and T2* relaxometry, MR spectroscopy, and MR fingerprinting. Diana is proficient in texture and image analysis, employing methods like gray-level co-occurrence matrices and Gaussian-mixture models. Her work has contributed to the development of machine learning models for liver fibrosis classification and cartilage mapping. She has presented her findings at international conferences, including ISMRM and OARSI, gaining recognition for her innovative approaches. Diana’s expertise in Python, MATLAB, and R has been instrumental in data manipulation, visualization, and statistical analysis, enabling her to bridge the gap between technology and clinical applications. Her professional journey highlights her commitment to advancing medical imaging technologies.

🏅 Awards and Recognitions

Diana Sitarcikova has been the recipient of several awards and recognitions that underscore her academic and research excellence. In 2018, she received a prestigious scholarship from Aktion Austria-Slovakia, supporting her PhD studies at the Medical University of Vienna. Diana has co-authored numerous high-impact publications in leading journals, earning accolades for her innovative contributions to liver and cartilage imaging. She has actively participated in international conferences, such as ISMRM and OARSI, where her research on texture analysis and MR fingerprinting has been highly appreciated. Her ability to integrate machine learning techniques with medical imaging has positioned her as a rising star in the field. These achievements reflect Diana’s dedication to advancing diagnostic imaging and her potential to make significant contributions to radiology and biomedical physics.

🌍 Research Skills On Radiology

Diana Sitarcikova possesses a comprehensive set of research skills, particularly in the domain of medical imaging. Her expertise includes machine learning techniques such as classification models, feature engineering, and cluster analysis, which she applies to enhance diagnostic accuracy in liver fibrosis and cartilage evaluation. Diana is adept at texture analysis, using tools like gray-level co-occurrence matrices and local binary patterns to extract meaningful patterns from imaging data. Her image analysis capabilities encompass organ segmentation, volumetry, and Gaussian-mixture models for parameter extraction. Diana has extensive experience with advanced MRI techniques, including relaxometry, MR spectroscopy, and elastography for liver imaging, as well as MR fingerprinting for cartilage studies. Proficient in Python, MATLAB, and R, she excels in data visualization, statistical analysis, and image processing. Her interdisciplinary approach combines technical expertise and clinical insight, driving innovation in non-invasive diagnostic methods.

📖 Publication Top Notes

1. Diagnostic accuracy of texture analysis applied to T1- and T2-Relaxation maps for liver fibrosis classification via machine-learning algorithms with liver histology as reference standard
  • Authors: Diana Sitarcikova, Sarah Poetter-Lang, Nina Bastati, Sami Ba-Ssalamah, Siegfried Trattnig, Ulrike Attenberger, Ahmed Ba-Ssalamah, Martin Krššák
  • Citation: European Journal of Radiology, DOI: 10.1016/j.ejrad.2024.111887
  • Year: 2025
2. Evaluation of a single-breath-hold radial turbo-spin-echo sequence for T2 mapping of the liver at 3T
  • Authors: Diana Sitarcikova, Diana Bencikova, Fei Han, Stephan Kannengieser, Marcus Raudner, Sarah Poetter-Lang, Nina Bastati, Gert Reiter, Raphael Ambros, Ahmed Ba-Ssalamah, et al.
  • Citation: European Radiology, DOI: 10.1007/s00330-021-08439-y
  • Year: 2022
3. Concentration of Gallbladder Phosphatidylcholine in Cholangiopathies: A Phosphorus‐31 Magnetic Resonance Spectroscopy Pilot Study
  • Authors: Lorenz Pfleger, Emina Halilbasic, Martin Gajdošík, Diana Benčíková, Marek Chmelík, Thomas Scherer, Siegfried Trattnig, Michael Krebs, Michael Trauner, Martin Krššák
  • Citation: Journal of Magnetic Resonance Imaging, DOI: 10.1002/jmri.27817
  • Year: 2022