Georgios Pilikos

Seismic compressive sensing beyond aliasing using Bayesian feature learning

Georgios Pilikos, A. C. Faul, Neil Philip, 2017 .

The relevance vector machine for seismic Bayesian compressive sensing

Georgios Pilikos, G. Pilikos, 2020 .

Machine Learning and Bayesian Statistics for Seismic Compressive Sensing

Georgios Pilikos, 2019 .

Deep data compression for approximate ultrasonic image formation

Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka, 2020, 2020 IEEE International Ultrasonics Symposium (IUS).

Bayesian modeling for uncertainty quantification in seismic compressive sensing

Georgios Pilikos, A. C. Faul, 2019 .

Fast ultrasonic imaging using end-to-end deep learning

Kees Joost Batenburg, Tristan van Leeuwen, Felix Lucka, 2020, 2020 IEEE International Ultrasonics Symposium (IUS).

Beta Process Factor Analysis for efficient seismic Compressive Sensing with uncertainty quantification

Georgios Pilikos, Neil Philip, G. Pilikos, 2018, 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP).

Relevance Vector Machines with Uncertainty Measure for Seismic Bayesian Compressive Sensing and Survey Design

A. C. Faul, Anita C. Faul, Georgios Pilikos, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Single Plane-Wave Imaging using Physics-Based Deep Learning

Chris L. de Korte, Tristan van Leeuwen, Felix Lucka, 2021, 2021 IEEE International Ultrasonics Symposium (IUS).

Deep Learning for Multi-View Ultrasonic Image Fusion

Tristan van Leeuwen, Felix Lucka, Georgios Pilikos, 2021, 2021 IEEE International Ultrasonics Symposium (IUS).

Bayesian Feature Learning for Seismic Compressive Sensing and Denoising

A. C. Faul, Georgios Pilikos, A. Faul, 2017 .