Yayang Duan | Deep learning | Best Researcher Award

Dr. Yayang Duan | Deep learning | Best Researcher Award

Dr. Yayang Duan, Affiliated First Hospital of Anhui University, China.

Dr. Yayang Duan , an accomplished physician and medical researcher, specializes in ultrasound diagnostics and AI applications in liver disease imaging. With a Doctorate in Imaging and Nuclear Medicine from Anhui Medical University, he has published 8+ SCI papers πŸ“„ and reviewed for top journals like European Radiology πŸ”. A recipient of the 2024 Wiley China High Contribution Author Award πŸ†, he currently serves at the First Affiliated Hospital of Anhui Medical University, combining clinical excellence with impactful research.

Profile

Scopus Profile

Orcid Profile

Google Scholar Profile

πŸŽ“ Early Academic Pursuits

Dr. Yayang Duan embarked on an impressive academic journey rooted in medical imaging. She completed her Bachelor’s degree in Medical Imaging from Bengbu Medical College (2012–2017), followed by a Master’s in Imaging and Nuclear Medicine at Dalian Medical University (2017–2020). Her academic trajectory culminated in a Professional Doctorate in Imaging and Nuclear Medicine from Anhui Medical University (2020–2023), reflecting her unwavering commitment to advanced medical education. πŸŽ“πŸ“š

πŸ’Ό Professional Endeavors

Since July 2023, Dr. Duan has served as a Physician in the Department of Ultrasound Medicine at the First Affiliated Hospital of Anhui Medical University. Her clinical practice centers on medical ultrasound diagnosis across various body systems. Her solid educational background seamlessly integrates with her hands-on clinical skills, enabling her to contribute significantly to patient care and medical research. πŸ₯🩺

πŸ”¬ Contributions and Research Focus On Deep learning

Dr. Duan’s research primarily focuses on liver diseases and the integration of artificial intelligence in clinical diagnostics. She has authored eight SCI-indexed papers as the first or corresponding author, along with one paper in a Chinese core journal, and contributed to ten additional SCI publications. Her expertise bridges the gap between diagnostic imaging and cutting-edge AI applications, driving forward the capabilities of non-invasive diagnostics. πŸ§¬πŸ“Š

🌍 Impact and Influence

With more than 15 expert peer reviews for prestigious journals such as European Radiology, European Journal of Nuclear Medicine and Molecular Imaging, and iScience, Dr. Duan plays an integral role in shaping the scientific discourse in medical imaging. Her influence extends beyond her own publications, reflecting a trusted voice within the global academic community. πŸŒπŸ“

🧠 Research Skills

Dr. Duan is highly proficient in medical ultrasound diagnostics, particularly in abdominal and soft tissue applications. She combines this clinical acumen with technical research expertise in AI-driven imaging analysis, liver pathology, and nuclear medicine. Her skills span both laboratory-based research and real-time patient diagnostics. πŸ–₯οΈπŸ”

πŸ… Awards and Honors

In recognition of her scholarly impact, Dr. Duan was awarded the 2024 Q1 Wiley China High Contribution Author Award πŸ†β€”a testament to her dedication, high-quality publications, and thought leadership in medical research.

πŸ›οΈ Legacy and Future Contributions

With a promising career ahead, Dr. Duan is poised to make lasting contributions to ultrasound medicine, AI-integrated diagnostics, and clinical education. As a rising star in medical imaging, she embodies a unique blend of academic excellence, clinical dedication, and innovation that will shape the future of diagnostic medicine. πŸš€πŸ“Œ

Publications Top Notes

  • πŸ“„ Title: Performance of a generative adversarial network using ultrasound images to stage liver fibrosis and predict cirrhosis based on a deep-learning radiomics nomogram
    πŸ“˜ Journal: Clinical Radiology
    πŸ“Š Citations: 16
    πŸ“… Year: 2022

  • πŸ“„ Title: Clinical value of hemodynamic changes in diagnosis of hepatic encephalopathy after transjugular intrahepatic portosystemic shunt
    πŸ“˜ Journal: Scandinavian Journal of Gastroenterology
    πŸ“Š Citations: 14
    πŸ“… Year: 2022

  • πŸ“„ Title: Development of a machine learning-based model to predict prognosis of alpha-fetoprotein-positive hepatocellular carcinoma
    πŸ“˜ Journal: Journal of Translational Medicine
    πŸ“Š Citations: 11
    πŸ“… Year: 2024

  • πŸ“„ Title: Radiomics analysis of breast lesions in combination with coronal plane of ABVS and strain elastography
    πŸ“˜ Journal: Breast Cancer: Targets and Therapy
    πŸ“Š Citations: 7
    πŸ“… Year: 2023

  • πŸ“„ Title: Performance of two-dimensional shear wave elastography for detecting advanced liver fibrosis and cirrhosis in patients with biliary atresia: a systematic review and meta-analysis
    πŸ“˜ Journal: Pediatric Radiology
    πŸ“Š Citations: 6
    πŸ“… Year: 2023

  • πŸ“„ Title: A sonogram radiomics model for differentiating granulomatous lobular mastitis from invasive breast cancer: A multicenter study
    πŸ“˜ Journal: La Radiologia Medica
    πŸ“Š Citations: 6
    πŸ“… Year: 2023

  • πŸ“„ Title: An overview of ultrasound-derived radiomics and deep learning in liver
    πŸ“˜ Journal: Medical Ultrasonography
    πŸ“Š Citations: 5
    πŸ“… Year: 2023

  • πŸ“„ Title: Multimodal radiomics and nomogram‐based prediction of axillary lymph node metastasis in breast cancer: An analysis considering optimal peritumoral region
    πŸ“˜ Journal: Journal of Clinical Ultrasound
    πŸ“Š Citations: 5
    πŸ“… Year: 2023

  • πŸ“„ Title: Diagnostic accuracy of contrast-enhanced ultrasound for detecting clinically significant portal hypertension and severe portal hypertension in chronic liver disease: a meta-analysis
    πŸ“˜ Journal: Expert Review of Gastroenterology & Hepatology
    πŸ“Š Citations: 3
    πŸ“… Year: 2023

  • πŸ“„ Title: Ultrasound-based deep learning radiomics nomogram for the assessment of lymphovascular invasion in invasive breast cancer: a multicenter study
    πŸ“˜ Journal: Academic Radiology
    πŸ“Š Citations: 2
    πŸ“… Year: 2024

  • πŸ“„ Title: Enhancing malignancy prediction in thyroid nodules: A multimodal ultrasound radiomics approach in TI‐RADS category 4 lesions
    πŸ“˜ Journal: Journal of Clinical Ultrasound
    πŸ“Š Citations: 2
    πŸ“… Year: 2024

 

 

Reeta R | Artificial Intelligence | Best Researcher Award

Mrs. Reeta R | Artificial Intelligence | Best Researcher Award

Mrs. Reeta R, Panimalar Engineering college, India.

πŸ† Reeta R. is a dedicated πŸ” researcher in Machine Learning, Neural Networks, and Deep Learning, currently pursuing her Ph.D. at Panimalar Engineering College. With 7+ years of teaching experience, she has received the πŸ… Best Faculty Award in Computer Science and Engineering. She has published 15+ research papers in πŸ“– IEEE and Scopus-indexed journals. Her research extends to IoT, Data Mining, and Software Testing, with notable contributions like ZeroEVNet. Featured in the πŸ“° Times of India, her work is shaping AI innovations.

Professional Profile

πŸŽ“ Early Academic Pursuits

Mrs. Reeta R. embarked on her academic journey with a Bachelor’s degree in Computer Science and Engineering from C.S.I College of Engineering, Anna University in 2004. Her passion for advancing her knowledge led her to pursue a Master’s degree in Software Engineering from Easwari Engineering College, Anna University in 2012. Her strong academic foundation has significantly contributed to her expertise in Artificial Intelligence, Machine Learning, and Software Engineering.

πŸ’Ό Professional Endeavors

Mrs. Reeta R. has an extensive 7+ years of teaching experience in the Department of Computer Science and Engineering at Rajalakshmi Engineering College. She has played a pivotal role in shaping the minds of future engineers through her dedicated teaching and mentorship. Currently, she is a Research Scholar at Panimalar Engineering College, focusing on innovative applications of Machine Learning, IoT, Data Mining, and Software Testing.

πŸ”¬ Contributions and Research Focus On Artificial Intelligence

Mrs. Reeta R. has made significant contributions to the research community, particularly in the fields of Neural Networks and Deep Learning. She has published 15 research papers in reputed International and National journals, including prestigious IEEE and Scopus-indexed journals. Her research interests extend to the development of smart systems, including applications in Emergency Vehicle Detection, AI-driven decision-making, and real-time data analysis.

🌍 Impact and Influence

Her research work has gained recognition in both academic and public domains. One of her key contributions, a paper on a Smart System for Ambulance Optimization, was featured in the Times of India. This highlights her commitment to solving real-world problems through her innovative research and development.

πŸ“š Academic Citations

Mrs. Reeta R.’s research has been acknowledged by the global academic community, as reflected in her Google Scholar Profile: Google Scholar Citations. Her publications are widely cited, showcasing the impact of her work in the field of Computer Science and Artificial Intelligence.

πŸ… Awards and HonorsΒ 

Recognizing her excellence in academia and research, Mrs. Reeta R. received the Best Faculty Award in Computer Science and Engineering. Her dedication to innovation and quality education has established her as a respected figure in the academic community.

πŸš€ Legacy and Future Contributions

With a strong academic background and a commitment to research, Mrs. Reeta R. aims to continue her contributions to the field of Artificial Intelligence and Machine Learning. Her future research will focus on advancing deep learning models for smart city applications, improving AI-driven security systems, and enhancing IoT-integrated solutions.

Publications Top Notes

Β πŸ“– Predicting Autism Using NaΓ―ve Bayesian Classification Approach
πŸ“– An Approach to Assure QoS for Dynamically Reconfigurable Component-Based Software Systems
πŸ“– ZeroEVNet: A multimodal zero-shot learning framework for scalable emergency vehicle detection