Self-supervised time-frequency representation based on generative adversarial networks

Nonstationary seismic reflectivity inversion based on prior-engaged semisupervised deep learning method

Global optimization with deep-learning-based acceleration surrogate for large-scale seismic acoustic-impedance inversion

Least-squares reverse time migration using convolutional neural networks

Optimization-inspired deep learning high-resolution inversion for seismic data

Building large-scale density model via a deep-learning-based data-driven method

Least-squares reverse time migration with sparse regularization in the 2D wavelet domain

High-resolution characterization of geologic structures using the synchrosqueezing transform

The analytic wavelet transform with generalized Morse wavelets to detect fluvial channels in the Bohai Bay Basin, China

Seismic sparse-spike deconvolution via Toeplitz-sparse matrix factorization

Enhancing resolution of nonstationary seismic data by molecular-Gabor transform