Prof. Chao Zuo

Nanjing University of Science and Technology, China

· Distinguished Professor of "Changjiang Scholars Program"  ·  SPIE/Optica Fellow

Prof. Shuli Sun

Heilongjaing University, China

· IEEE Senior Member

Prof. Bin Liu

Dalian University of Technology, China

· ACM/CCF Member

Res. Bin Wu

The 41st institute of CETC

· Senior Expert of The 41st institute of CETC

Prof. Dr. Dimitrios A. Karras

National Technical University of Athens

Prof. Dr. Dimitrios A. Karras received his Diploma and M.Sc. Degree in Electrical and Electronic Engineering from the National Technical University of Athens (NTUA), Greece in 1985 and the Ph.D in Electrical Engineering, NTUA, Greece in 1995, with honors. He has published more than 94 research refereed journal papers in intelligent and distributed/multiagent systems, pattern recognition, image/signal processing and neural networks as well as in bioinformatics, more than 15 edited books in international publishers and more than 191 research papers in International refereed scientific Conferences. He has given more than 170 invited and keynote speeches at international conferences. His research interests span the fields of intelligent & distributed systems, complex systems and sustainability, multiagent systems, pattern recognition and computational intelligence, image & signal processing/systems, biomedical systems, communications and networking as well as security and sustainability applications. He has served as program committee member as well as program/general chair at many international peer reviewed conferencesand workshops in signal, image,communications, and automation systems as well as he is serving as editor in chief and editorial board member in several peer reviewedjournals. Citations of his research works from other researchers (10/9/2024)- excluding self-citations- appear in more than 3395//2244 (Google Scholar and 2481 research papers, as well as in more than 1737 research papers in Scopus peer reviewed research database, with H/G indexes 26/71 (Google Scholar), Scopus-H index 17 and RG-Research Interest score 1315 (in the top 5% of the ResearchGate members database).

Speech Title: New advances in medical imaging using deep learning models

Abstract:Recent advances in medical imaging have been significantly driven by the integration of deep learning (DL) models. These models have revolutionized the field by enhancing the accuracy, efficiency, and automation of image analysis.Deep learning techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs), have shown remarkable success in various applications, including disease detection, segmentation, and classification. This speech reviews the latest developments in DL for medical imaging, highlighting the challenges, methodologies, and future perspectives as well it reviews several recent developments managed by the speaker and it's group and lab. We also discuss the impact of DL on clinical practice and its potential to transform healthcare by providing real-time, precise, and reliable diagnostic tools.