Low Light Image Enhancement via Sparse Representations. - Konstantina Fotiadou; Grigorios Tsagkatakis; Panagiotis Tsakalides (ICIAR (1), 2014)

Spectral Resolution Enhancement of Hyperspectral Images via Sparse Representations. - Konstantina Fotiadou; Grigorios Tsagkatakis; Panagiotis Tsakalides (Computational Imaging, 2016)

Deep Convolutional Neural Networks for the Classification of Snapshot Mosaic Hyperspectral Imagery. - Konstantina Fotiadou; Grigorios Tsagkatakis; Panagiotis Tsakalides (Computational Imaging, 2017)

Denoising galaxy spectra with coupled dictionary learning. - Konstantina Fotiadou; Grigorios Tsagkatakis; Bruno Moraes; Filipe B. Abdalla; Panagiotis Tsakalides (EUSIPCO, 2017)

Recovery of Soil Moisture Active Passive (SMAP) Instrument's Active Measurements via Coupled Dictionary Learning. - Konstantina Fotiadou; Grigorios Tsagkatakis; Mahta Moghaddam; Panagiotis Tsakalides (Computational Imaging, 2018)

A Distributed Learning Architecture for Scientific Imaging Problems. - Athanasia Panousopoulou; Samuel Farrens; Konstantina Fotiadou; Arnaud Woiselle; Grigorios Tsagkatakis; Jean-Luc Starck; Panagiotis Tsakalides (CoRR, 2018)

Hyperspectral Image Compression and Super-Resolution Using Tensor Decomposition Learning. - Anastasia Aidini; Michalis Giannopoulos; Anastasia Pentari; Konstantina Fotiadou; Panagiotis Tsakalides (ACSSC, 2019)

Alternating Direction Method of Multipliers for Semi-blind Astronomical Image Deconvolution. - Konstantina Fotiadou; Grigorios Tsagkatakis; Panagiotis Tsakalides (ICASSP, 2019)

Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement. - Grigorios Tsagkatakis; Anastasia Aidini; Konstantina Fotiadou; Michalis Giannopoulos; Anastasia Pentari; Panagiotis Tsakalides (Sensors, 2019)

Spectral Super Resolution of Hyperspectral Images via Coupled Dictionary Learning. - Konstantina Fotiadou; Grigorios Tsagkatakis; Panagiotis Tsakalides (IEEE Trans. Geosci. Remote. Sens., 2019)

Sparse representations and coupled dictionary learning for the enhancement of computational imaging systems - Konstantina Fotiadou (2019)

Classification of Compressed Remote Sensing Multispectral Images via Convolutional Neural Networks. - Michalis Giannopoulos; Anastasia Aidini; Anastasia Pentari; Konstantina Fotiadou; Panagiotis Tsakalides (J. Imaging, 2020)

Incidents Information Sharing Platform for Distributed Attack Detection. - Konstantina Fotiadou; Terpsichori Helen Velivassaki; Artemis C. Voulkidis; Konstantinos Railis; Panagiotis Trakadas; Theodore B. Zahariadis (IEEE Open J. Commun. Soc., 2020)

Snapshot High Dynamic Range Imaging via Sparse Representations and Feature Learning. - Konstantina Fotiadou; Grigorios Tsagkatakis; Panagiotis Tsakalides (IEEE Trans. Multim., 2020)

Pan-European Cybersecurity Incidents Information Sharing Platform to support NIS Directive. - Dimitrios Skias; Sofia Tsekeridou; Theodore B. Zahariadis; Artemis C. Voulkidis; Terpsichori Helen Velivassaki; Konstantina Fotiadou (ARES, 2021)

Network Traffic Anomaly Detection via Deep Learning. - Konstantina Fotiadou; Terpsichori-Helen N. Velivasaki; Artemis C. Voulkidis; Dimitrios Skias; Sofia Tsekeridou; Theodore B. Zahariadis (Inf., 2021)

OmbriaNet - Supervised Flood Mapping via Convolutional Neural Networks Using Multitemporal Sentinel-1 and Sentinel-2 Data Fusion. - Georgios I. Drakonakis; Grigorios Tsagkatakis; Konstantina Fotiadou; Panagiotis Tsakalides (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)