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.

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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

 

 

Abhilash Pati | Computer Science | Research Pioneer Award in Biomedical Sciences | 1881

Dr. Abhilash Pati | Computer Science | Research Pioneer Award in Biomedical SciencesΒ 

Dr. Abhilash Pati, Siksha O Anusandhan University, Bhubaneswar, India

Dr. Abhilash Pati is an accomplished Assistant Professor in the Department of Computer Science and Engineering at Siksha β€˜O’ Anusandhan University, Bhubaneswar, India. With over 15 years of academic and research experience, he specializes in Artificial Intelligence, Machine Learning, Blockchain, IoT, and Fog Computing. He has authored three books, published over 60 research articles indexed in Scopus and WoS, and holds three patents, including a granted design utility. His work is widely recognized in high-impact journals such as IEEE Access, Scientific Reports, and PLOS ONE. Dr. Pati is also UGC-NET qualified and actively mentors students and research initiatives.

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πŸŽ“ Early Academic Pursuits

Dr. Abhilash Pati’s academic journey began with a strong passion for technology and computing, which later shaped his extensive career in computer science. From his early days, he exhibited a deep curiosity in how systems work, leading him to pursue higher education in Computer Science and Engineering. His dedication and academic rigor earned him recognition early on, culminating in qualifying the prestigious UGC-NET, a testament to his proficiency and commitment to academic excellence in India. His foundational training not only built his core technical skills but also fostered an analytical mindset that would serve as the cornerstone for his research pursuits in artificial intelligence and emerging technologies.

πŸ§‘β€πŸ« Professional Endeavors

Dr. Abhilash Pati currently serves as an Assistant Professor in the Department of Computer Science and Engineering at Siksha β€˜O’ Anusandhan University, Bhubaneswar, India, a premier institution recognized for academic innovation and research. With over 15 years of experience, Dr. Pati has built a career marked by dedication to teaching, curriculum development, and student mentorship.

Throughout his tenure, he has engaged in the delivery of undergraduate and postgraduate courses, supervised student projects, and contributed to the design of industry-aligned academic programs. His role is not limited to classroom instruction; he is actively involved in research groups and collaborative initiatives that bridge the gap between academia and industry. This dual focus on pedagogy and innovation has made him a respected figure among students and peers alike.

πŸ”¬ Contributions and Research Focus

Dr. Pati’s research spans several cutting-edge domains, including Artificial Intelligence (AI), Machine Learning (ML), Blockchain Technology, Internet of Things (IoT), and Fog Computing. These fields represent the frontier of technological advancement, and Dr. Pati’s contributions have helped propel research in these areas, especially in applications related to smart systems and intelligent data processing.

He has authored and co-authored over 60 research publications, many of which are indexed in Scopus and Web of Science (WoS). His work is regularly published in high-impact journals such as IEEE Access, Scientific Reports (Nature Portfolio), and PLOS ONE, reflecting the global recognition of his scholarly output.

Additionally, he has authored three academic books and holds three patents, including a granted design utility patentβ€”further illustrating the practical implications of his research and its potential for technological innovation.

πŸ… Accolades and Recognition

Dr. Pati’s academic and professional excellence has not gone unnoticed. His qualification in UGC-NET speaks volumes about his academic merit. Beyond that, his prolific publication record, patent filings, and scholarly books underscore his status as a thought leader in his field. His articles are frequently cited by researchers worldwide, and he has often been invited as a reviewer and editor for reputed international journals and conferences.

Moreover, his contributions are instrumental in shaping institutional research strategies, leading to enhanced collaborations and interdisciplinary research output within his university and beyond.

🌐 Impact and Influence

Dr. Pati’s influence extends far beyond the lecture hall or laboratory. As a mentor, he has guided numerous students toward academic excellence and research competence. Many of his mentees have gone on to pursue higher education, research careers, or roles in the tech industry, thanks to the foundational skills and inspiration he provided.

His interdisciplinary approachβ€”linking AI with Blockchain, or IoT with Fog Computingβ€”has opened up new research directions for his peers and collaborators. Furthermore, his publications have served as reference points in academia and industry, helping shape conversations around the ethical, scalable, and efficient deployment of smart technologies.

🌟 Legacy and Future Contributions

Dr. Abhilash Pati’s journey is one of sustained growth, intellectual curiosity, and purposeful impact. Looking ahead, he is poised to continue contributing to the evolving technological landscape by focusing on sustainable computing, ethical AI, and decentralized systems. His vision includes building robust academic-industry partnerships and creating innovation hubs that foster student-led research and startups.

His legacy will not just be defined by the number of papers or patents, but by the culture of curiosity, critical thinking, and compassion that he instills in the next generation of computer scientists. Through teaching, mentorship, and research, Dr. Pati is building a future where technology serves humanity more intelligently and equitably.

Publication Top Notes

An IoT-fog-cloud integrated framework for real-time remote cardiovascular disease diagnosis

Author: A Pati, M Parhi, M Alnabhan, BK Pattanayak, AK Habboush, …
Journal: Informatics
Year: 2023

Heartfog: Fog computing enabled ensemble deep learning framework for automatic heart disease diagnosis

Author: A Pati, M Parhi, BK Pattanayak
Journal: Intelligent and Cloud Computing
Year: 2022

COVID-19 pandemic analysis and prediction using machine learning approaches in India

Author: A Pati, M Parhi, BK Pattanayak
Journal: Advances in Intelligent Computing and Communication
Year: 2023

A review on prediction of diabetes using machine learning and data mining classification techniques

Author: A Pati, M Parhi, BK Pattanayak
Journal: International Journal of Biomedical Engineering and Technology
Year: 2021