Papers using PyLops

This section lists various conference abstracts and papers using the PyLops framework. If you publish a paper using PyLops, we’d love to hear about it!


  • Vakalis, S., D. Chen, M. Yan, and J. Nanzer, 2021, Image enhancement in active incoherent millimeter-wave imaging. Passive and Active Millimeter-Wave Imaging XXIV. doi: 10.1117/12.2585650  
  • Li, X., T. Becker, M. Ravasi, J. Robertsson, and D.-J. van Manen, 2021, Closed-aperture unbounded acoustics experimentation using multidimensional deconvolution. The Journal of the Acoustical Society of America, 149, 1813–1828. doi: 10.1121/10.0003706  
  • Kuijpers, D., I. Vasconcelos, and P. Putzky, 2021, Reconstructing missing seismic data using Deep Learning. arXiv: 2101.09554  
  • Ravasi, M., and C. Birnie, 2021, A Joint Inversion-Segmentation approach to Assisted Seismic Interpretation. arXiv: 2102.03860  
  • Haindl, C., M. Ravasi, and F. Broggini, 2021, Handling gaps in acquisition geometries — Improving Marchenko-based imaging using sparsity-promoting inversion and joint inversion of time-lapse data. Geophysics, 86 (2), S143-S154. doi: 10.1190/geo2020-0036.1  
  • Ulrich, I. E., A. Zunino, C. Boehm, and A. Fichtner, 2021, Sparsifying regularizations for stochastic sample average minimization in ultrasound computed tomography. Medical Imaging 2021: Ultrasonic Imaging and Tomography. doi: 10.1117/12.2580926  
  • Nightingale, James., R. Hayes, A. Kelly, A. Amvrosiadis, A. Etherington, Q. He, N. Li, X. Cao, J. Frawley, S. Cole, A. Enia, C. Frenk, D. Harvey, R. Li, R. Massey, M. Negrello, and A. Robertson, 2020, PyAutoLens: Open-Source Strong Gravitational Lensing. Journal of Open Source Software, 6, 2825. doi: 10.21105/joss.02825  


  • Feng, R., T. Mejer Hansen, D. Grana, and N. Balling, 2020, An unsupervised deep-learning method for porosity estimation based on poststack seismic data. Geophysics, 85 (6), M97-M105. doi: 10.1190/geo2020-0121.1  
  • Zhang, M., 2020, Marchenko Green’s functions from compressive sensing acquisition. SEG Technical Program Expanded Abstracts 2020. doi: 10.1190/segam2020-3424845.1  
  • Vargas, D., and I. Vasconcelos, 2020, Rayleigh-Marchenko Redatuming Using Scattered Fields in Highly Complex Media. EAGE 2020 Annual Conference & Exhibition Online. doi: 10.3997/2214-4609.202011347  
  • Ravasi, M., and I. Vasconcelos, 2020, Implementation of Large-Scale Integral Operators with Modern HPC Solutions. EAGE 2020 Annual Conference & Exhibition Online. doi: 10.3997/2214-4609.202010529  
  • Ravasi, M., and I. Vasconcelos, 2020, PyLops—A linear-operator Python library for scalable algebra and optimization. SoftwareX, 11, 100361. doi: 10.1016/j.softx.2019.100361  


  • Ruan, J., and I. Vasconcelos, 2019, Data- and prior-driven sampling and wavefield reconstruction for sparse, irregularly-sampled, higher-order gradient data. SEG Technical Program Expanded Abstracts 2019. doi: 10.1190/segam2019-3216425.1