| Deep prior-based unsupervised reconstruction of irregularly sampled seismic data F Kong, F Picetti, V Lipari, P Bestagini, X Tang, S Tubaro IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 67 | 2020 |
| Landmine detection using autoencoders on multipolarization GPR volumetric data P Bestagini, F Lombardi, M Lualdi, F Picetti, S Tubaro IEEE Transactions on Geoscience and Remote Sensing 59 (1), 182-195, 2020 | 62 | 2020 |
| Convolutional autoencoder for landmine detection on GPR scans F Picetti, G Testa, F Lombardi, P Bestagini, M Lualdi, S Tubaro 2018 41st international conference on telecommunications and signal …, 2018 | 36 | 2018 |
| A generative adversarial network for seismic imaging applications F Picetti, V Lipari, P Bestagini, S Tubaro SEG International Exposition and Annual Meeting, SEG-2018-2995439, 2018 | 29 | 2018 |
| Seismic image processing through the generative adversarial network F Picetti, V Lipari, P Bestagini, S Tubaro Interpretation 7 (3), SF15-SF26, 2019 | 25 | 2019 |
| Deep prior-based seismic data interpolation via multi-res u-net F Kong, F Picetti, V Lipari, P Bestagini, S Tubaro SEG International Exposition and Annual Meeting, D041S077R006, 2020 | 22 | 2020 |
| Ballistic ground penetrating radar equipment for blast-exposed security applications F Lombardi, M Lualdi, F Picetti, P Bestagini, G Janszen, LA Di Landro Remote Sensing 12 (4), 717, 2020 | 17 | 2020 |
| An object-oriented optimization framework for large-scale inverse problems E Biondi, G Barnier, RG Clapp, F Picetti, S Farris Computers & Geosciences 154, 104790, 2021 | 16 | 2021 |
| DIPPAS: A deep image prior PRNU anonymization scheme F Picetti, S Mandelli, P Bestagini, V Lipari, S Tubaro EURASIP Journal on Information Security 2022 (1), 2, 2022 | 14 | 2022 |
| A deep prior convolutional autoencoder for seismic data interpolation F Kong, V Lipari, F Picetti, P Bestagini, S Tubaro EAGE 2020 Annual Conference & Exhibition Online 2020 (1), 1-5, 2020 | 9 | 2020 |
| Anti-aliasing add-on for deep prior seismic data interpolation F Picetti, V Lipari, P Bestagini, S Tubaro 2021 IEEE International Conference on Image Processing (ICIP), 1979-1983, 2021 | 7 | 2021 |
| Post-Stack Inversion with Uncertainty Estimation through Bayesian Deep Image Prior V Lipari, F Picetti, P Bestagini, S Tubaro 82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021 | 5 | 2021 |
| How Deep Learning Can Help Solving Geophysical Inverse Problems F Picetti Special Topics in Information Technology, 141, 2023 | 2 | 2023 |
| Approximate least squares RTM via matching filters and regularized inversion V Lipari, F Picetti, J Panizzardi, N Bienati, S Tubaro SEG International Exposition and Annual Meeting, D033S044R007, 2019 | 2 | 2019 |
| A study on deep learning methodologies applied to geophysical inverse problems F Picetti | 1 | 2021 |
| Identification and Recognition of Landmine Internal Structure Scattering Contribution from GPR Data F Lombardi, M Lualdi, F Picetti, P Bestagini 25th European Meeting of Environmental and Engineering Geophysics 2019 (1), 1-5, 2019 | 1 | 2019 |
| Object-Oriented Optimization for Small-and Large-Scale Seismic Inversion Procedures E Biondi, G Barnier, R Clapp, F Picetti, S Farris Digital Subsurface Conference in Latin America 2021 (1), 1-5, 2021 | | 2021 |
| A tool for processing seismic images: Study on CycleGAN F Picetti, F Lombardi, V Lipari, P Bestagini, S Tubaro, M Lualdi 3rd Asia Pacific Meeting on Near Surface Geoscience & Engineering 2020 (1), 1-5, 2020 | | 2020 |
| A Methodology for Sound Scene Manipulation Based on the Ray Space Transform F Picetti, F Borra, F Antonacci, A Sarti, S Tubaro 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC), 6-10, 2018 | | 2018 |
| A plenacoustic approach to sound scene manipulation F Picetti Politecnico di Milano, 2016 | | 2016 |
Paolo BestaginiPolitecnico di MilanoEmail verificata su polimi.it
