Relevance Vector Machines with Uncertainty Measure for Seismic Bayesian Compressive Sensing and Survey Design. - Georgios Pilikos; A. C. Faul (ICMLA, 2016)

Beta Process Factor Analysis for efficient seismic Compressive Sensing with uncertainty quantification. - Georgios Pilikos; Neil Philip (DSP, 2018)

Fast ultrasonic imaging using end-to-end deep learning. - Georgios Pilikos; Lars Horchens; Kees Joost Batenburg; Tristan van Leeuwen; Felix Lucka (CoRR, 2020)

Deep data compression for approximate ultrasonic image formation. - Georgios Pilikos; Lars Horchens; Kees Joost Batenburg; Tristan van Leeuwen; Felix Lucka (CoRR, 2020)

Deep Learning for Multi-View Ultrasonic Image Fusion. - Georgios Pilikos; Lars Horchens; Tristan van Leeuwen; Felix Lucka (CoRR, 2021)

Single Plane-Wave Imaging using Physics-Based Deep Learning. - Georgios Pilikos; Chris L. de Korte; Tristan van Leeuwen; Felix Lucka (CoRR, 2021)

Raw SAR Data Compression with Deep Learning. - Georgios Pilikos; Mario Azcueta; Roberto Camarero; Nicolas Floury (IGARSS, 2024)

Ship Detection From Raw SAR Echoes Using Convolutional Neural Networks. - Kevin De Sousa; Georgios Pilikos; Mario Azcueta; Nicolas Floury (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Biomass Estimation with GNSS Reflectometry Using a Deep Learning Retrieval Model. - Georgios Pilikos; Maria Paola Clarizia; Nicolas Floury (Remote. Sens., 2024)