Multiple-point statistical simulation for hydrogeological models: 3-D training image development and conditioning strategies von Høyer, Anne-Sophie, Vignoli, Giulio, Hansen, Thomas Mejer, Vu, Le Thanh, Keefer, Donald A., Jørgensen, Flemming

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Bayesian Convolutional Neural Networks for Seismic Facies Classification von Feng, Runhai, Balling, Niels, Grana, Dario, Dramsch, Jesper Soren, Hansen, Thomas Mejer

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1D Stochastic Inversion of Airborne Time-Domain Electromagnetic Data with Realistic Prior and Accounting for the Forward Modeling Error von Bai, Peng, Vignoli, Giulio, Hansen, Thomas Mejer

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Linear Waveform Tomography Inversion Using Machine Learning Algorithms von Holm-Jensen, Tue, Hansen, Thomas Mejer

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Assessment of the impact of noise magnitude and bandwidth variations on a probabilistic inversion of reflection seismic data von Heidari, Hamed, Madsen, Rasmus Bødker, Amini, Hamed, Hansen, Thomas Mejer, Emami‐Niri, Mohammad, Amini, Navid

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Estimation of a non‐stationary prior covariance from seismic data von Madsen, Rasmus Bødker, Hansen, Thomas Mejer, Omre, Henning

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3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures von Madsen, Rasmus Bødker, Kim, Hyojin, Kallesøe, Anders Juhl, Sandersen, Peter B. E, Vilhelmsen, Troels Norvin, Hansen, Thomas Mejer, Christiansen, Anders Vest, Møller, Ingelise, Hansen, Birgitte

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SIPPI: A Matlab toolbox for sampling the solution to inverse problems with complex prior information: Part 1—Methodology von Mejer Hansen, Thomas, Skou Cordua, Knud, Caroline Looms, Majken, Mosegaard, Klaus

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Incorporating interpretation uncertainties from deterministic 3D hydrostratigraphic models in groundwater models von Enemark, Trine, Madsen, Rasmus Bødker, Sonnenborg, Torben O, Andersen, Lærke Therese, Sandersen, Peter B. E, Kidmose, Jacob, Møller, Ingelise, Hansen, Thomas Mejer, Jensen, Karsten Høgh, Høyer, Anne-Sophie

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Hydraulic head change predictions in groundwater models using a probabilistic neural network von Dahl, Mathias Busk, Vilhelmsen, Troels Norvin, Bach, Torben, Hansen, Thomas Mejer

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Neural network predictions of drawdown from groundwater abstraction in the Egebjerg catchment, Denmark von Dahl, Mathias Busk, Vilhelmsen, Troels Norvin, Enemark, Trine, Hansen, Thomas Mejer

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MPSLIB: A C++ class for sequential simulation of multiple-point statistical models von Hansen, Thomas Mejer, Vu, Le Thanh, Bach, Torben

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Probabilistic deconvolution of PET images using informed priors von Hansen, Thomas Mejer, Mosegaard, Klaus, Holm, Søren, Andersen, Flemming Littrup, Fischer, Barbara Malene, Hansen, Adam Espe

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A Frequency Matching Method: Solving Inverse Problems by Use of Geologically Realistic Prior Information von Lange, Katrine, Frydendall, Jan, Cordua, Knud Skou, Hansen, Thomas Mejer, Melnikova, Yulia, Mosegaard, Klaus

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Entropy and Information Content of Geostatistical Models von Hansen, Thomas Mejer

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Inference of unexploded ordnance (UXO) by probabilistic inversion of magnetic data von Wigh, Mark David, Hansen, Thomas Mejer, Døssing, Arne

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Synthetic case study: discrimination of unexploded ordnance (UXO) and non-UXO sources with varying remanent magnetization strength using magnetic data von Wigh, Mark David, Hansen, Thomas Mejer, Døssing, Arne

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Multiple-point statistics and non-colocational soft data integration von Jóhannsson, Óli D., Hansen, Thomas Mejer

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Direct Sequential Simulation for spherical linear inverse problems von Otzen, Mikkel, Finlay, Christopher C., Hansen, Thomas Mejer

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Classification of UXO and non-UXO from magnetic anomaly data: a case study on inversion of drone magnetic data from Rømø, Denmark von Wigh, Mark David, Kolster, Mick Emil, Hansen, Thomas Mejer, Døssing, Arne

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