53 citations as recorded by crossref.

1. Markov chain Monte Carlo for seismic facies classification D. Grana et al. 10.1190/geo2022-0442.1
2. Analysis and generation of the fibrosis textures based on histology data of the human hearts with non-ischemic cardiomyopathy A. Okenov et al. 10.1088/1361-6560/ade6bb
3. Training Image Optimization Method Based on Convolutional Neural Network and Its Application in Discrete Fracture Network Model Selection S. Yu et al. 10.2113/2021/4963324
4. A review of geostatistical simulation models applied to satellite remote sensing: Methods and applications F. Zakeri & G. Mariethoz 10.1016/j.rse.2021.112381
5. Reconstruction of High-Resolution 3D GPR Data from 2D Profiles: A Multiple-Point Statistical Approach C. Zhang et al. 10.3390/rs16122084
6. Multiple-point geostatistics-based spatial downscaling of heavy rainfall fields W. Zou et al. 10.1016/j.jhydrol.2024.130899
7. Direct Sequential Simulation for spherical linear inverse problems M. Otzen et al. 10.1016/j.cageo.2021.105026
8. Geology-driven modeling: A new probabilistic approach for incorporating uncertain geological interpretations in 3D geological modeling R. Madsen et al. 10.1016/j.enggeo.2022.106833
9. Multiple-point statistics and non-colocational soft data integration Ó. Jóhannsson & T. Hansen 10.1016/j.cageo.2022.105280
10. A Pattern Classification Distribution Method for Geostatistical Modeling Evaluation and Uncertainty Quantification C. Zuo et al. 10.3390/rs15112708
11. Integrating Multi-Point Geostatistics, Machine Learning, and Image Correlation for Characterizing Positional Errors in Remote-Sensing Images of High Spatial Resolution L. Xin et al. 10.3390/rs15194734
12. A parsimonious parametrization of the Direct Sampling algorithm for multiple-point statistical simulations P. Juda et al. 10.1016/j.acags.2022.100091
13. Adaptive direct sampling-based approach to ore grade modeling Z. Li et al. 10.1007/s12145-024-01297-4
14. Estimating line contaminant sources in non-Gaussian groundwater conductivity fields using deep learning-based framework N. Zheng et al. 10.1016/j.jhydrol.2024.130727
15. A fast two part direct sampling method based on interpolation H. Bai et al. 10.1016/j.cageo.2023.105335
16. Stochastic reconstruction of heterogeneous microstructure combining sliced Wasserstein distance and gradient optimization Z. Ma et al. 10.1016/j.actamat.2024.120023
17. Reconstruction of Missing GPR Data Using Multiple-Point Statistical Simulation C. Zhang et al. 10.1109/TGRS.2024.3353482
18. Pore-scale simulations help in overcoming laboratory limitations with unconsolidated rock material: A multi-step reconstruction based on scanning electron and optical microscopy data D. Kulygin et al. 10.1016/j.advwatres.2024.104754
19. 3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures R. Madsen et al. 10.5194/hess-25-2759-2021
20. Direct Sampling for Spatially Variable Extreme Event Generation in Resampling‐Based Stochastic Weather Generators J. Guevara et al. 10.1029/2022MS003542
21. Adaptive phase-retrieval stochastic reconstruction with correlation functions: Three-dimensional images from two-dimensional cuts A. Cherkasov et al. 10.1103/PhysRevE.104.035304
22. Functional multiple-point simulation O. Ojo & M. Genton 10.1016/j.cageo.2024.105767
23. Towards effective information content assessment: Analytical derivation of information loss in the reconstruction of random fields with model uncertainty A. Cherkasov et al. 10.1016/j.physa.2023.129400
24. Choosing between Gaussian and MPS simulation: the role of data information content—a case study using uncertain interpretation data points R. Madsen et al. 10.1007/s00477-020-01954-2
25. Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods R. Feng et al. 10.1007/s11004-023-10129-y
26. Gap-Filling Sentinel-1 Offshore Wind Speed Image Time Series Using Multiple-Point Geostatistical Simulation and Reanalysis Data S. Hadjipetrou et al. 10.3390/rs15020409
27. A nearest neighbor multiple-point statistics method for fast geological modeling C. Zuo et al. 10.1016/j.cageo.2022.105208
28. Going submicron in the precise analysis of soil structure: A FIB-SEM imaging study at nanoscale K. Gerke et al. 10.1016/j.geoderma.2020.114739
29. Stochastic Facies Inversion with Prior Sampling by Conditional Generative Adversarial Networks Based on Training Image R. Feng et al. 10.1007/s11004-023-10119-0
30. AutoQS v1: automatic parametrization of QuickSampling based on training images analysis M. Gravey & G. Mariethoz 10.5194/gmd-16-5265-2023
31. Conditioning of multiple-point statistics simulations to indirect geophysical data S. Levy et al. 10.1016/j.cageo.2024.105581
32. Knowledge-based multiple point statistics for soil stratigraphy simulation X. Zhou et al. 10.1016/j.tust.2023.105475
33. SA‐RelayGANs: A Novel Framework for the Characterization of Complex Hydrological Structures Based on GANs and Self‐Attention Mechanism Z. Cui et al. 10.1029/2023WR035932
34. Stochastic (re)constructions of non-stationary material structures: Using ensemble averaged correlation functions and non-uniform phase distributions M. Karsanina & K. Gerke 10.1016/j.physa.2022.128417
35. Quantifying temporal variability and spatial heterogeneity in rainfall recharge thresholds in a montane karst environment A. Baker et al. 10.1016/j.jhydrol.2021.125965
36. Compressing soil structural information into parameterized correlation functions M. Karsanina et al. 10.1111/ejss.13025
37. Generating unrepresented proportions of geological facies using Generative Adversarial Networks A. Abdellatif et al. 10.1016/j.cageo.2022.105085
38. A variability aware GAN for improving spatial representativeness of discrete geobodies R. Koochak et al. 10.1016/j.cageo.2022.105188
39. Hydrogeological multiple-point statistics inversion by adaptive sequential Monte Carlo M. Amaya et al. 10.1016/j.advwatres.2022.104252
40. pyMPSLib: A robust and scalable open-source Python library for mutiple-point statistical simulation Q. Chen et al. 10.1007/s12145-023-01086-5
41. Super-resolution of digital elevation models by using multiple-point statistics and training image selection G. Hu et al. 10.1016/j.cageo.2024.105688
42. Hierarchical 3D reconstruction algorithm of core image based on detailed and structural dictionaries Z. Ma et al. 10.1016/j.jgsce.2023.205029
43. Sulphur variations in annually layered stalagmites using benchtop micro-XRF H. Wang et al. 10.1016/j.sab.2022.106366
44. Pixel-MPS: Stochastic Embedding and Density-Based Clustering of Image Patterns for Pixel-Based Multiple-Point Geostatistical Simulation A. Asadi & S. Chatterjee 10.3390/geosciences14060162
45. Pattern-Based Multiple-point Geostatistics for 3D Automatic Geological Modeling of Borehole Data J. Guo et al. 10.1007/s11053-024-10405-6
46. Enhancing Aquifer Characterization With Position‐Encoded Hyperparameters: A Novel ES‐SIFG Approach M. Sun et al. 10.1029/2024WR038468
47. A fast and flexible algorithm for microstructure reconstruction combining simulated annealing and deep learning Z. Ma et al. 10.1016/j.compgeo.2023.105755
48. A fast edge-based two-stage direct sampling method H. Bai & G. Mariethoz 10.1016/j.cageo.2021.104742
49. Stochastic Reconstruction of 3D Heterogeneous Microstructure Using a Column-Oriented Multiple-Point Statistics Program C. Zuo et al. 10.2113/2024/lithosphere_2023_233
50. Mapping high-resolution basal topography of West Antarctica from radar data using non-stationary multiple-point geostatistics (MPS-BedMappingV1) Z. Yin et al. 10.5194/gmd-15-1477-2022
51. Stationary Stokes solver for single-phase flow in porous media: A blastingly fast solution based on Algebraic Multigrid Method using GPU N. Evstigneev et al. 10.1016/j.advwatres.2022.104340
52. Identification of aquifer heterogeneity through inverse methods P. Ackerer et al. 10.5802/crgeos.162
53. Nonstationary stochastic rain type generation: accounting for climate drivers L. Benoit et al. 10.5194/hess-24-2841-2020