| Salt Delineation From Electromagnetic Data Using Convolutional Neural Networks S Oh, K Noh, D Yoon, SJ Seol, J Byun IEEE Geoscience and Remote Sensing Letters 16 (4), 519-523, 2018 | 43 | 2018 |
| Cooperative deep learning inversion of CSEM data for salt delineation S Oh, K Noh, SJ Seol, J Byun Geophysics 85 (4), E121-E137, 2020 | 37 | 2020 |
| Uncertainty estimation in AVO inversion using Bayesian dropout based deep learning C Junhwan, O Seokmin, B Joongmoo Journal of Petroleum Science and Engineering 208, 109288, 2022 | 29 | 2022 |
| Analysis of anomalous electrical conductivity and magnetic permeability effects using a frequency domain controlled-source electromagnetic method K Noh, S Oh, SJ Seol, KH Lee, J Byun Geophysical Journal International 204 (3), 1550-1564, 2016 | 26 | 2016 |
| Imaging subsurface orebodies with airborne electromagnetic data using a recurrent neural network M Bang, S Oh, K Noh, SJ Seol, J Byun Geophysics 86 (6), E407-E419, 2021 | 22 | 2021 |
| Extraction of diffractions from seismic data using convolutional U-net and transfer learning S Kim, S Jee Seol, J Byun, S Oh Geophysics 87 (2), V117-V129, 2022 | 19 | 2022 |
| Bayesian Uncertainty Estimation for Deep Learning Inversion of Electromagnetic Data S Oh, J Byun IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 15 | 2021 |
| 3D sequential inversion of frequency-domain airborne electromagnetic data to determine conductive and magnetic heterogeneities K Noh, S Oh, SJ Seol, J Byun Geophysics 83 (5), E357-E369, 2018 | 12 | 2018 |
| Numerical evaluation of active source magnetics as a method for imaging high-resolution near-surface magnetic heterogeneity K Noh, KH Lee, S Oh, SJ Seol, J Byun Geophysics 82 (5), J27-J38, 2017 | 12 | 2017 |
| Interpretation of controlled-source electromagnetic data from iron ores under rough topography S Oh, K Noh, SJ Seol, J Byun, MJ Yi Journal of Applied Geophysics 124, 106-116, 2016 | 11 | 2016 |
| Cooperative deep learning inversion: Seismic-constrained CSEM inversion for salt delineation S Oh, K Noh, D Yoon, SJ Seol, J Byun SEG Technical Program Expanded Abstracts 2019, 1055-1059, 2019 | 10 | 2019 |
| Extraction of diffraction events from seismic data using deep learning-based approach S Kim, SJ Seol, J Byun, J Park, S Oh SEG Technical Program Expanded Abstracts 2020, 2840-2844, 2020 | 7 | 2020 |
| 3D CSEM frequency-domain modeling and inversion algorithms including topography S Oh*, K Noh, SJ Seol, J Byun SEG Technical Program Expanded Abstracts 2015, 828-832, 2015 | 5 | 2015 |
| Resistivity Imaging from Electromagnetic Data Using a Fully Convolutional Network S Oh, K Noh, D Yoon, SJ Seol, J Byun 81st EAGE Conference and Exhibition 2019 2019 (1), 1-5, 2019 | 2 | 2019 |
| Effects of steel casing in mCSEM: Analysis on the air-sea interface and a steel infrastructure S Oh, K Noh, SJ Seol, J Byun SEG Technical Program Expanded Abstracts 2017, 1070-1074, 2017 | 2 | 2017 |
| Imaging of subsurface orebody with airborne electromagnetic data using a recurrent neural network M Bang, S Oh, K Noh, SJ Seol, J Byun SEG International Exposition and Annual Meeting, D041S081R002, 2020 | 1 | 2020 |
| Location-based parameterization of controlled-source electromagnetic data inversion for the monitoring of hydraulic fracturing with magnetically enhanced proppants K Noh, K Ha Lee, S Oh, S Jee Seol, J Byun Geophysics 85 (1), E27-E39, 2020 | 1 | 2020 |
| Location-based parameterization of CSEM data inversion for the monitoring of hydraulic fracturing with magnetically enhanced proppants K Noh, KH Lee, S Oh, SJ Seol, J Byun SEG International Exposition and Annual Meeting, 924-928, 2018 | 1 | 2018 |
| Three-dimensional controlled source electromagnetic responses of an electrically conductive anomaly and a magnetically permeable anomaly K Noh, S Oh, SJ Seol, KH Lee, J Byun 22nd Electromagnetic Induction Workshop, Weimar, Germany, 2014 | 1 | 2014 |
| A Review on Multirotor UAV-based Magnetic Surveys for Near-Surface Targets S Oh, B Kim Journal of the Korean Society of Mineral and Energy Resources Engineers 59 …, 2022 | | 2022 |