| Marine broadband technology: History and remaining challenges from an end-user perspective JM Reilly The Leading Edge 35 (4), 316-321, 2016 | 18 | 2016 |
| Deep learning-based artificial bandwidth extension: Training on ultrasparse OBN to enhance towed-streamer FWI M Aharchaou, A Baumstein The Leading Edge 39 (10), 718-726, 2020 | 13 | 2020 |
| Singular-spectrum analysis via optimal shrinkage of singular values M Aharchaou, J Anderson, S Hughes, J Bingham SEG Technical Program Expanded Abstracts 2017, 4950-4954, 2017 | 10 | 2017 |
| A compressive sensing approach to the high-resolution linear Radon transform: application on teleseismic wavefields M Aharchaou, A Levander Geophysical Supplements to the Monthly Notices of the Royal Astronomical …, 2016 | 10 | 2016 |
| A brief overview of seismic resolution in applied geophysics JM Reilly, M Aharchaou, R Neelamani The Leading Edge 42 (1), 8-15, 2023 | 7 | 2023 |
| Prestack Q compensation with sparse tau-p operators M Aharchaou, E Neumann Geophysics 84 (5), V295-V305, 2019 | 7 | 2019 |
| Deep learning framework for true amplitude imaging: Effect of conditioners and initial models H Kaur, J Sun, M Aharchaou, A Baumstein, S Fomel Geophysical Prospecting 72 (Machine learning applications in geophysical …, 2023 | 5 | 2023 |
| An integrated broadband preprocessing method for towed-streamer seismic data M Aharchaou, E Neumann Geophysics 85 (2), V201-V221, 2020 | 5 | 2020 |
| In pursuit of increased resolution while preserving amplitude fidelity JM Reilly, M Matheney, P Monigle, K He, M Aharchaou, J Zhang, ... First Break 37 (7), 39-44, 2019 | 5 | 2019 |
| Deep learning of bandwidth extension from seabed seismic M Aharchaou, A Baumstein, T Vdovina, R Lu, E Neumann 82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021 | 4 | 2021 |
| Towards an integrated approach to broadband marine seismic processing M Aharchaou, E Neumann, S Lazaratos, D Eke, I Chikichev, C Hyslop SEG International Exposition and Annual Meeting, SEG-2018-2995589, 2018 | 4 | 2018 |
| Adaptive receiver deghosting for deep-tow pressure data M Aharchaou, J Anderson SEG International Exposition and Annual Meeting, SEG-2016-13823903, 2016 | 4 | 2016 |
| Edge-aware image conditioning with a Siamese neural network M Aharchaou, M Matheney, J Molyneux 82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021 | 2 | 2021 |
| Method for Generating Initial Models For Least Squares Migration Using Deep Neural Networks H Kaur, J Sun, M Aharchaou US Patent App. 17/247,608, 2021 | 2 | 2021 |
| Edge-aware filtering with Siamese neural networks M Aharchaou, M Matheney, J Molyneux, E Neumann The Leading Edge 39 (10), 711-717, 2020 | 2 | 2020 |
| Prestack multidimensional Q compensation with sparse tau-p operators M Aharchaou, E Neumann, S Lazaratos SEG International Exposition and Annual Meeting, SEG-2018-2995621, 2018 | 2 | 2018 |
| Seismic data regularization by unaliased slowness estimation W Curry, JE Anderson, M Aharchaou, A Kushwaha, M Cheng SEG International Exposition and Annual Meeting, SEG-2017-17680565, 2017 | 2 | 2017 |
| A closer look at hydrophone-only versus two-component deghosting in deep-tow streamer data B Olofsson, A Palermo, M Aharchaou SEG International Exposition and Annual Meeting, SEG-2016-13680648, 2016 | 2 | 2016 |
| Broadband technology; history and remaining challenges from an end-user perspective JM Reilly SEG International Exposition and Annual Meeting, SEG-2015-6026461, 2015 | 2 | 2015 |
| Methodology for learning a similarity measure between geophysical objects M Aharchaou, MP Matheney, JB Molyneux, ER Neumann US Patent App. 17/303,012, 2021 | 1 | 2021 |
