Published in PhD Thesis, University of Strathclyde, 2023
Doctoral Thesis exploring the automation of subsea survey video annotations using Deep Learning methodologies.
Recommended citation: Stamoulakatos, A. (2023). Automatic annotation of subsea pipelines using deep learning (Doctoral dissertation, University of Strathclyde). https://strathprints.strath.ac.uk/
Published in IEEE OCEANS 2021, 2021
Conference paper comparing 2D and 3D CNN architectures for temporal and spatial modeling of underwater pipeline inspection videos.
Recommended citation: Stamoulakatos, A., & Tachtatzis, C. (2021). A Comparison of the Performance of 2D and 3D Convolutional Neural Networks for Subsea Survey Video Classification. In OCEANS 2021 (pp. 1-6). IEEE. https://ieeexplore.ieee.org/document/9706125
Published in Sensors, MDPI, 2020
Journal publication in Sensors (MDPI) exploring deep learning methodologies for subsea pipeline video survey automated annotations.
Recommended citation: Stamoulakatos, A., Anagnostis, A., & Tachtatzis, C. (2020). Automatic annotation of subsea pipelines using deep learning. Sensors, 20(3), 674. https://doi.org/10.3390/s20030674
Published in Diploma Thesis, National Technical University of Athens, 2017
Diploma Thesis implementing SVMs and Wavelet Transforms for medical image classification.
Recommended citation: Stamoulakatos, A. (2017). Classification of ultrasound images of carotids using Wavelet Transforms and SVM (Diploma Thesis, NTUA).