Dr. Virginia Tsapaki | Radiology Awards | Best Researcher Award

Dr. Virginia Tsapaki | Radiology Awards | Best Researcher Award

Dr. Virginia Tsapaki, IAEA, Austria

Dr. Tsapaki is a distinguished Medical Physicist with a BSc from the University of Crete, an MSc in Medical Physics from the University of Surrey, and a PhD from the University of Athens. Currently, she serves at the International Atomic Energy Agency (IAEA) and previously led the Medical Physics Department at Konstantopoulio General Hospital in Athens. With over 30 years of expertise in diagnostic imaging, radiation protection, and nuclear medicine, she has been a key figure in numerous international projects and training courses. Dr. Tsapaki has held influential roles in the European Federation of Medical Physicists (EFOMP) and the International Organization for Medical Physics (IOMP), earning multiple accolades including IOMP and IUPESM Fellowships. Her extensive research, with over 200 publications, addresses a broad spectrum of medical physics topics, reinforcing her prominent position in the field.

Professional Profile:

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Suitability for the Award

Dr. Virginia Tsapaki is an exceptional candidate for the Best Researcher Award due to the following reasons:

  1. Extensive Experience and Expertise: With over 30 years in the field, Dr. Tsapaki’s extensive experience in diagnostic and interventional radiology, nuclear medicine, and medical physics is notable. Her work as a Medical Physicist with the IAEA further underscores her expertise and global impact.
  2. Significant Contributions to Research and Practice: Dr. Tsapaki has made substantial contributions to the field through her research on imaging technologies, radiation protection, and quality management systems. Her involvement in numerous European and international projects demonstrates her leadership and innovative contributions to medical physics.
  3. Leadership and Influence: Her roles as President of the Hellenic Association of Medical Physicists, Secretary General of IOMP, and other leadership positions highlight her influence in shaping the field of medical physics at both national and international levels.
  4. Awards and Recognitions: The multiple international awards and recognitions she has received, including Fellowships and certificates of appreciation, reflect her outstanding contributions and the high regard in which she is held by the global medical physics community.
  5. Editorial and Peer Review Contributions: Dr. Tsapaki’s involvement in editorial boards and as a reviewer for leading journals illustrates her commitment to advancing research and maintaining high standards in scientific publishing.

Educational Background:

Dr. Tsapaki holds a BSc from the University of Crete, MSc in Medical Physics from the University of Surrey, and a PhD in Medical Physics from the University of Athens. Her educational foundation is robust and aligns well with her expertise in medical radiation physics.

Current and Previous Positions:

She has served as a Medical Physicist at the International Atomic Energy Agency (IAEA) since August 2019. Her previous role as Head of the Medical Physics Department at Konstantopoulio General Hospital of Athens further underscores her leadership and expertise in diagnostic radiology and medical radiation physics.

Professional Experience:

Dr. Tsapaki boasts over 30 years of experience in diagnostic imaging, computed tomography, interventional cardiology, and nuclear medicine. Her experience also includes significant roles in radiation protection and international projects, reflecting her extensive knowledge and impact in her field.

International and National Contributions:

She has been actively involved in numerous European projects and IAEA missions, contributing to various international and regional training courses. Her role as a coordinator for IAEA regional training courses and technical cooperation projects demonstrates her leadership and commitment to advancing medical physics globally.

Organizational Roles:

Dr. Tsapaki has held prominent positions in various national and international organizations, including the European Federation of Medical Physicists (EFOMP) and the International Organization for Medical Physics (IOMP). Her leadership roles, such as being the Secretary General of IOMP, highlight her influential presence in the field.

Awards and Recognitions:

She has received multiple awards, including Fellowships from IOMP and IUPESM, and appreciation awards from various international conferences. These accolades reflect her significant contributions and recognition in the field of medical physics.

Publications and Research Interests:

With over 200 publications and more than 300 conference presentations, Dr. Tsapaki’s research covers a wide range of topics, including conventional and digital imaging, radiation protection, and quality management systems. Her editorial roles in several prestigious journals further emphasize her expertise and influence.

Publication Top Notes:

  • Title: Strengthening Education and Training Programmes for Medical Physics in Asia and the Pacific: The IAEA Non-Agreement Technical Cooperation (TC) Regional RAS6088 Project
    • Year: 2024
  • Title: Quality Assurance Considerations in Radiopharmaceutical Therapy Dosimetry Using PLANETDose: An International Atomic Energy Agency Study
    • Year: 2024
  • Title: Preliminary Results of Performance Testing in Diagnostic Radiology Facilities: Implementation of Harmonized IAEA Protocol for Africa
    • Year: 2024
  • Title: Technical Specifications of Dose Management Systems: An International Atomic Energy Agency Survey
    • Year: 2024
    • Cited by: 2
  • Title: How to Establish and Use Local Diagnostic Reference Levels: An ESR EuroSafe Imaging Expert Statement
    • Year: 2023
    • Cited by: 15

 

 

 

Mr. Yunxiang Li | Radiomics Award | Best Researcher Award

Mr. Yunxiang Li | Radiomics Award | Best Researcher Award

Mr. Yunxiang Li, UT Southwestern Medical Center, United States

Yunxiang Li is a PhD student of Medical Physics at the University of Texas Southwestern Medical Center, with a Bachelor’s degree in Computer Science and Technology from Hangzhou Dianzi University. During his tenure at Hangzhou Dianzi University, he collaborated with leading medical institutions, contributing to automatic diagnosis research in root canal therapy. His subsequent work at the IDEA Lab, University of North Carolina at Chapel Hill, focused on infant brain segmentation, resulting in a significant publication in MICCAI. Currently, at the MAIA Lab, UT Southwestern Medical Center, he leads various projects in medical image analysis, including pioneering research on diffusion models and multimodal segmentation techniques. Yunxiang has demonstrated exceptional productivity with numerous first-author papers published and under review in top-tier journals and conferences. His contributions to the field have been widely recognized, evident in his impactful projects such as Chatdoctor and LViT.

Professional Profile:

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🎓 Education:

Yunxiang Li is currently pursuing his Ph.D. in Medical Physics at the University of Texas Southwestern Medical Center in Dallas, USA, a program he began in 2022. Prior to this, he completed his Bachelor’s degree in Computer Science and Technology at Hangzhou Dianzi University in Hangzhou, China, from 2018 to 2022. In 2019, Yunxiang expanded his academic horizons as a Visiting Student at The University of Adelaide in Adelaide, Australia. With a diverse educational background spanning computer science and medical physics, Yunxiang is well-equipped to undertake innovative research at the intersection of technology and healthcare.

🔬 Research Interests:

Yunxiang Li’s research interests revolve around the field of Medical Image Analysis, where he delves into various aspects such as Classification, Segmentation, Transformer in vision, Diffusion Model, and LLM. With a keen focus on advancing healthcare technology, Yunxiang’s work aims to enhance the accuracy and efficiency of medical image interpretation and processing. His expertise spans from developing classification algorithms to intricate segmentation techniques, as well as exploring innovative models like the Transformer in vision and the Diffusion Model. Through his research endeavors, Yunxiang seeks to contribute to the improvement of medical diagnostics and treatment planning, ultimately benefitting patients and healthcare professionals

💼 Experience:

Yunxiang Li’s professional journey encompasses diverse research experiences across prestigious institutions. He began his career at the Microelectronics CAD Center of Hangzhou Dianzi University, where he contributed to projects focused on automatic diagnosis of root canal therapy in collaboration with the National Clinical Research Center for Oral Diseases. Following this, Yunxiang joined the IDEA Lab at the University of North Carolina at Chapel Hill, where he worked on infant brain segmentation projects. Currently, he is engaged in groundbreaking research at the MAIA Lab of UT Southwestern Medical Center, focusing on diffusion models and LLM for medical image analysis. With each opportunity, Yunxiang has demonstrated his commitment to advancing knowledge and technology in the field of medical physics.

Publication Top Notes:

  1. Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge
    • Authors: Y Li, Z Li, K Zhang, R Dan, S Jiang, Y Zhang
    • Year: 2023
    • Journal: Cureus
    • Cited By: 204
  2. Fives: A fundus image dataset for Artificial Intelligence based vessel segmentation
    • Authors: K Jin, X Huang, J Zhou, Y Li, Y Yan, Y Sun, Q Zhang, Y Wang, J Ye
    • Year: 2022
    • Journal: Scientific Data
    • Cited By: 63
  3. A Cascade‐SEME network for COVID‐19 detection in chest x‐ray images
    • Authors: D Lv, Y Wang, S Wang, Q Zhang, W Qi, Y Li, L Sun
    • Year: 2021
    • Journal: Medical Physics
    • Cited By: 49
  4. Lvit: Language meets vision transformer in medical image segmentation
    • Authors: Z Li, Y Li, Q Li, P Wang, D Guo, L Lu, D Jin, Y Zhang, Q Hong
    • Year: 2023
    • Journal: IEEE Transactions on Medical Imaging
    • Cited By: 44
  5. GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation
    • Authors: Y Li, S Wang, J Wang, G Zeng, W Liu, Q Zhang, Q Jin, Y Wang
    • Year: 2021
    • Conference: MICCAI2021, Machine Learning in Medical Imaging
    • Cited By: 41