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 …
Model order reduction for seismic waveform modelling: inspiration from normal modes
The computational cost of full waveform simulation in seismological contexts is known to be
expensive and generally requires large clusters of computers working in parallel. Although …
expensive and generally requires large clusters of computers working in parallel. Although …
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 …
Convexification numerical method for a coefficient inverse problem for the system of nonlinear parabolic equations governing mean field games
MV Klibanov, J Li, Z Yang - Inverse Problems and Imaging, 2025 - aimsciences.org
The Mean Field Games theory has applications in mathematical modeling of various social
phenomena. The key to this theory is the Mean Field Games System (MFGS) of two coupled …
phenomena. The key to this theory is the Mean Field Games System (MFGS) of two coupled …
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 …
Convexification for the 3D Problem of Travel Time Tomography
MV Klibanov, J Li, VG Romanov, Z Yang - arXiv preprint arXiv:2409.14025, 2024 - arxiv.org
The travel time tomography problem is a coefficient inverse problem for the eikonal
equation. This problem has well known applications in seismic. The eikonal equation is …
equation. This problem has well known applications in seismic. The eikonal equation is …
Joint inverse medium and optimal control problem for acoustic waves
Background: Ever since endoscopes were invented, surgeons try to widen their field of
usage by developing novel surgical approaches. An obvious advantage of the endoscope is …
usage by developing novel surgical approaches. An obvious advantage of the endoscope is …