On the use of nonlinear anisotropic diffusion filters for seismic imaging using the full waveform
L Métivier, R Brossier - Inverse Problems, 2022 - iopscience.iop.org
Nonlinear anisotropic diffusion filters have been introduced in the field of image processing
for image denoising and image restoration. They are based on the solution of partial …
for image denoising and image restoration. They are based on the solution of partial …
Machine learning-based algorithm as an innovative approach for the differentiation between diabetes insipidus and primary polydipsia in clinical practice
Objective Differentiation between central diabetes insipidus (cDI) and primary polydipsia
(PP) remains challenging in clinical practice. Although the hypertonic saline infusion test led …
(PP) remains challenging in clinical practice. Although the hypertonic saline infusion test led …
Adaptive spectral inversion for inverse medium problems
YG Gleichmann, MJ Grote - Inverse Problems, 2023 - iopscience.iop.org
A nonlinear optimization method is proposed for the solution of inverse medium problems
with spatially varying properties. To avoid the prohibitively large number of unknown control …
with spatially varying properties. To avoid the prohibitively large number of unknown control …
[HTML][HTML] Adaptive eigenspace for multi-parameter inverse scattering problems
A nonlinear optimization method is proposed for inverse scattering problems in the
frequency domain, when the unknown medium is characterized by one or several spatially …
frequency domain, when the unknown medium is characterized by one or several spatially …
Non-iterative Eigenfunction-based inversion (NIEI) algorithm for 2D Helmholtz equation
A non-iterative inverse-source solver is introduced for the 2D Helmholtz boundary value
problem (BVP). Microwave imaging within a chamber having electrically conducting walls is …
problem (BVP). Microwave imaging within a chamber having electrically conducting walls is …
Error estimates for adaptive spectral decompositions
DH Baffet, YG Gleichmann, MJ Grote - Journal of Scientific Computing, 2022 - Springer
Adaptive spectral (AS) decompositions associated with a piecewise constant function, u,
yield small subspaces where the characteristic functions comprising u are well …
yield small subspaces where the characteristic functions comprising u are well …
Inner product preconditioned optimization methods for full waveform inversion
X Adriaens - 2022 - search.proquest.com
The interpretation of wave scattering data has led, and continues to lead, to a wide range of
scientific discoveries and practical engineering applications in domains as varied as …
scientific discoveries and practical engineering applications in domains as varied as …
Adaptive spectral decompositions for inverse medium problems
DH Baffet, MJ Grote, JH Tang - Inverse Problems, 2021 - iopscience.iop.org
Inverse medium problems involve the reconstruction of a spatially varying unknown medium
from available observations by exploring a restricted search space of possible solutions …
from available observations by exploring a restricted search space of possible solutions …
Eigenvector models for solving the seismic inverse problem for the Helmholtz equation
F Faucher, O Scherzer, H Barucq - Geophysical Journal …, 2020 - academic.oup.com
We study the seismic inverse problem for the recovery of subsurface properties in acoustic
media. In order to reduce the ill-posedness of the problem, the heterogeneous wave speed …
media. In order to reduce the ill-posedness of the problem, the heterogeneous wave speed …
Compressed sensing on multi-pinhole collimator spect camera for sentinel lymph node biopsy
State-of-the-art imaging devices for sentinel lymph node biopsy are either a 1-dimensional
gamma probe or more recently 2-dimensional gamma cameras that locate the sentinel …
gamma probe or more recently 2-dimensional gamma cameras that locate the sentinel …