Papers

This section lists various conference abstracts and papers using the PyLops framework:

• Ulrich, I. E., Zunino, A., Boehm, C., and Fichtner, Sparsifying regularizations for stochastic sample average minimization in ultrasound computed tomography. Medical Imaging 2021: Ultrasonic Imaging and Tomography. International Society for Optics and Photonics, link (2021).
• Nightingale J. W., Hayes, R.G, et al., PyAutoLens: Open-Source Strong Gravitational Lensing, JOSS, link - code (2020).
• Zhang, M., Marchenko Green’s functions from compressive sensing acquisition SEG Technical Program Expanded Abstracts, link (2020).
• Vargas, D., and Vasconcelos I., Rayleigh-Marchenko Redatuming Using Scattered Fields in Highly Complex Media, EAGE Technical Program Expanded Abstracts, link (2020).
• Ravasi, M., and Vasconcelos I., Implementation of Large-Scale Integral Operators with Modern HPC Solutions, EAGE Technical Program Expanded Abstracts, link - code (2020).
• Ruan, J., and Vasconcelos I., Data-and prior-driven sampling and wavefield reconstruction for sparse, irregularly-sampled, higher-order gradient data, SEG Technical Program Expanded Abstracts, link - code (2019).