| Time-domain multidimensional deconvolution: A physically reliable and stable preconditioned implementation D Vargas, I Vasconcelos, M Ravasi, N Luiken Remote Sensing 13 (18), 3683, 2021 | 18 | 2021 |
| Seismic wavefield redatuming with regularized multi-dimensional deconvolution N Luiken, T Van Leeuwen Inverse Problems 36 (9), 095010, 2020 | 17 | 2020 |
| Stochastic multi-dimensional deconvolution M Ravasi, T Selvan, N Luiken IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 15 | 2022 |
| Integrating self-supervised denoising in inversion-based seismic deblending N Luiken, M Ravasi, C Birnie Geophysics 89 (1), WA39-WA51, 2024 | 13* | 2024 |
| Plug and play post-stack seismic inversion with CNN-based denoisers J Romero, M Corrales, N Luiken, M Ravasi Second EAGE Subsurface Intelligence Workshop 2022 (1), 1-5, 2022 | 10 | 2022 |
| Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion M Izzatullah, T Alkhalifah, J Romero, M Corrales, N Luiken, M Ravasi arXiv preprint arXiv:2212.14595, 2022 | 6 | 2022 |
| Comparing RSVD and Krylov methods for linear inverse problems N Luiken, T van Leeuwen Computers & geosciences 137, 104427, 2020 | 5 | 2020 |
| Seeing through the CO2 plume: Joint inversion-segmentation of the Sleipner 4D seismic data set J Romero, N Luiken, M Ravasi The Leading Edge 42 (7), 457-464, 2023 | 4 | 2023 |
| Block-Krylov methods for multi-dimensional deconvolution N Luiken, A Garg SEG International Exposition and Annual Meeting, D043S154R008, 2019 | 4 | 2019 |
| Striking a balance: Seismic inversion with model-and data-driven priors M Ravasi, J Romero, M Corrales, N Luiken, C Birnie Developments in structural geology and tectonics 6, 153-200, 2024 | 3 | 2024 |
| Robust joint inversion and segmentation of 4D seismic data J Romero, M Ravasi, N Luiken Second International Meeting for Applied Geoscience & Energy, 3414-3418, 2022 | 3 | 2022 |
| Relaxed regularization for linear inverse problems N Luiken, T Van Leeuwen SIAM Journal on Scientific Computing 43 (5), S269-S292, 2021 | 3 | 2021 |
| Joint inversion and segmentation of the 4D Sleipner seismic dataset J Romero, M Ravasi, N Luiken 84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023 | 2 | 2023 |
| Deep Learning to replace or augment model-based seismic inversion? M Ravasi, N Luiken, J Romero, M Corrales 84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023 | 2 | 2023 |
| Plug-and-Play Stein variational gradient descent for Bayesian post-stack seismic inversion M Izzatullah, T Alkhalifah, J Romero, M Corrales, N Luiken, M Ravasi 84th EAGE Annual Conference & Exhibition 2023 (1), 1-5, 2023 | 1 | 2023 |
| Physics-based preconditioned multidimensional deconvolution in the time domain D Vargas, I Vasconcelos, M Ravasi, N Luiken SEG International Exposition and Annual Meeting, D011S148R002, 2022 | 1 | 2022 |
| Robust Regularized Regression Using a Modified ADMM N Luiken, M Ravasi, J Romero 83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5, 2022 | 1 | 2022 |
| Estimating the regularization parameter efficiently N Luiken, T van Leeuwen 80th EAGE Conference and Exhibition 2018 2018 (1), 1-5, 2018 | 1 | 2018 |
| PyProximal-scalable convex optimization in Python M Ravasi, MV Örnhag, N Luiken, O Leblanc, E Uruñuela Journal of Open Source Software 9 (95), 6326, 2024 | | 2024 |
| Posterior sampling with convolutional neural network-based plug-and-play regularization with applications to poststack seismic inversion M Izzatullah, T Alkhalifah, J Romero, M Corrales, N Luiken, M Ravasi Geophysics 89 (2), R137-R153, 2024 | | 2024 |
