| A machine-learning benchmark for facies classification Y Alaudah, P Michałowicz, M Alfarraj, G AlRegib Interpretation 7 (3), SE175-SE187, 2019 | 192 | 2019 |
| Semisupervised sequence modeling for elastic impedance inversion M Alfarraj, G AlRegib Interpretation 7 (3), SE237-SE249, 2019 | 153 | 2019 |
| Semi-supervised learning for acoustic impedance inversion M Alfarraj, G AlRegib SEG Technical Program Expanded Abstracts 2019, 2298-2302, 2019 | 133* | 2019 |
| Petrophysical property estimation from seismic data using recurrent neural networks M Alfarraj, G AlRegib SEG technical program expanded abstracts 2018, 2141-2146, 2018 | 106* | 2018 |
| Estimation of acoustic impedance from seismic data using temporal convolutional network A Mustafa, M Alfarraj, G AlRegib SEG technical program expanded abstracts 2019, 2554-2558, 2019 | 90* | 2019 |
| Subsurface structure analysis using computational interpretation and learning: A visual signal processing perspective G AlRegib, M Deriche, Z Long, H Di, Z Wang, Y Alaudah, MA Shafiq, ... IEEE Signal Processing Magazine 35 (2), 82-98, 2018 | 84 | 2018 |
| Structure label prediction using similarity-based retrieval and weakly supervised label mapping Y Alaudah, M Alfarraj, G AlRegib Geophysics 84 (1), V67-V79, 2018 | 45* | 2018 |
| Artificial intelligence for control and optimization of boilers’ performance and emissions: A review MA Nemitallah, MA Nabhan, M Alowaifeer, A Haeruman, F Alzahrani, ... Journal of Cleaner Production 417, 138109, 2023 | 41 | 2023 |
| Joint learning for spatial context-based seismic inversion of multiple data sets for improved generalizability and robustness A Mustafa, M Alfarraj, G AlRegib Geophysics 86 (4), O37-O48, 2021 | 34 | 2021 |
| Spatiotemporal modeling of seismic images for acoustic impedance estimation A Mustafa, M Alfarraj, G AlRegib SEG International Exposition and Annual Meeting, D041S101R005, 2020 | 28 | 2020 |
| FaciesViT: Vision Transformer for an Improved Core Lithofacies Prediction A Koeshidayatullah, S Al-Azani, EE Baraboshkin, M Alfarraj Frontiers in Earth Science, 1788, 2022 | 25 | 2022 |
| A comparative study of texture attributes for characterizing subsurface structures in seismic volumes Z Long, Y Alaudah, M Ali Qureshi, Y Hu, Z Wang, M Alfarraj, G AlRegib, ... Interpretation 6 (4), T1055-T1066, 2018 | 25 | 2018 |
| Content-adaptive Non-parametric Texture Similarity Measure M Alfarraj, Y Alaudah, G AlRegib 2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP …, 2016 | 19 | 2016 |
| Probabilistic physics-informed neural network for seismic petrophysical inversion P Li, M Liu, M Alfarraj, P Tahmasebi, D Grana Geophysics 89 (2), M17-M32, 2024 | 16 | 2024 |
| Deep seismic CS: A deep learning assisted compressive sensing for seismic data N Iqbal, M Masood, M Alfarraj, UB Waheed IEEE Transactions on Geoscience and Remote Sensing 61, 1-9, 2023 | 15 | 2023 |
| Three‐dimensional curvature analysis of seismic waveforms and its interpretational implications H Di, M Alfarraj, G AlRegib Geophysical Prospecting 67 (2), 265-281, 2019 | 14* | 2019 |
| Multiresolution analysis and learning for computational seismic interpretation M Alfarraj, Y Alaudah, Z Long, G AlRegib The Leading Edge 37 (6), 443-450, 2018 | 14 | 2018 |
| Fabric surface characterization: Assessment of deep learning-based texture representations using a challenging dataset Y Hu, Z Long, A Sundaresan, M Alfarraj, G AlRegib, S Park, S Jayaraman The Journal of The Textile Institute 112 (2), 293-305, 2021 | 12 | 2021 |
| Characterization of migrated seismic volumes using texture attributes: a comparative study Z Long*, Y Alaudah, MA Qureshi, MA Farraj, Z Wang, A Amin, M Deriche, ... SEG Technical Program Expanded Abstracts 2015, 1744-1748, 2015 | 12 | 2015 |
| Explainable deep learning diagnostic system for prediction of lung disease from medical images NA Hroub, AN Alsannaa, M Alowaifeer, M Alfarraj, E Okafor Computers in Biology and Medicine 170, 108012, 2024 | 10 | 2024 |
Ghassan AlRegibSchool of Electrical and Computer Engineering, Georgia TechПотвърден имейл адрес: gatech.edu
