Anastasios Doulamis

Anastasios Doulamis received the Diploma degree in Electrical and Computer Engineering from the National Technical University of Athens (NTUA) with the highest honour (second ranked among all classmates) and the PhD degree in Electrical and Computer Engineering from NTUA. He is currently Associate Professor in National Technical University of Athens. Prof. Anastasios Doulamis has received several awards and prizes during his studies, including the Best Greek Student in all fields of engineering at the national level, the Best Graduate Thesis Award in the area of Electrical Engineering and several prizes from the National Technical University of Athens. He is author of more than 350 papers in the area of signal processing, image analysis, decision making and artificial intelligence among them more than 35 in IEEE/ACM journals papers of high impact factors and more than 80 journal papers. He has also more than 4600 citations in the respective field. He has served as organizer in many major workshops, like the ones sponsored by ACM, and IEEE.

Publications

Recent Advances in 3D Imaging, Modeling, and Reconstruction
Recent Advances in 3D Imaging, Modeling, and Reconstruction
Athanasios Voulodimos, Anastasios Doulamis. © 2020. 396 pages.
3D image reconstruction is used in many fields, such as medicine, entertainment, and computer science. This highly demanded process comes with many challenges, such as images...
A Neural Network Approach Implementing Non-Linear Relevance Feedback to Improve the Performance of Medical Information Retrieval Systems
A Neural Network Approach Implementing Non-Linear Relevance Feedback to Improve the Performance of Medical Information Retrieval Systems
Dimosthenis Kyriazis, Anastasios Doulamis, Theodora Varvarigou. © 2010. 17 pages.
In this chapter, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of information (medical content) retrieval systems. In...
A Neural Network Approach Implementing Non-Linear Relevance Feedback to Improve the Performance of Medical Information Retrieval Systems
A Neural Network Approach Implementing Non-Linear Relevance Feedback to Improve the Performance of Medical Information Retrieval Systems
Dimosthenis Kyriazis, Anastasios Doulamis, Theodora Varvarigou. © 2009. 18 pages.
In this chapter, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of information (medical content) retrieval systems. In...