Panagiotis Barmpoutis' was born in Thessaloniki, Greece. He received his MEng in Electrical and Computer Engineering from the Aristotle University of Thessaloniki in 2009. He also received his MSc in Forestry Informatics and his MSc in Medical Informatics from the Aristotle University of Thessaloniki in 2012 and 2013 respectively. In 2017 he received his PhD in Forestry Informatics from the Aristotle University of Thessaloniki. His current development and research interests lie in the areas of computer vision and applications, real-time image processing, analysis and visualization, pattern recognition and machine learning. He has coauthored numerous highly cited journal and conference publications. Furthermore, he has participated in Greek and European funded research projects.
Pechlivanidis E, Ginoglou D, Barmpoutis P, 2021, Can intangible assets predict future performance? A deep learning approach, International Journal of Accounting and Information Management, Vol:30, ISSN:1834-7649, Pages:61-72
et al., 2021, Tertiary lymphoid structures (TLS) identification and density assessment on H&E-stained digital slides of lung cancer, PLOS One, Vol:16, ISSN:1932-6203
et al., 2020, A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing, Sensors, Vol:20
et al., 2020, Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures, Remote Sensing, Vol:12
et al., 2019, Multi-lead ECG signal analysis for myocardial infarction detection and localization through the mapping of Grassmannian and Euclidean features into a common Hilbert space, Biomedical Signal Processing and Control, Vol:52, ISSN:1746-8094, Pages:111-119
et al., 2018, Wood species recognition through multidimensional texture analysis, Computers and Electronics in Agriculture