An Inverse Problem for Nonlinear Time-dependent Schrodinger Equations with Partial Data

Ting Zhou

Supercomputing-based inverse modeling of high-resolution atmospheric contaminant source intensity distribution using remote sensing data

Mingming Huang, Yi Heng, Junzhi Chen, Yinan Han, Lars Hoffmann, Sven Gross

Some progresses in Carleman estimates and their applications in inverse problems for stochastic partial differential equations

Fangfang Dou, Wanli Du, Peimin Lu

Inverse scattering problems with incomplete data

Xiaodong Liu

Imaging with two-photon absorption optics

Yimin Zhong

Hopf lemma for fractional diffusion equations and application to inverse problem

Daijun Jiang, Zhiyuan Li

Microlocal properties and injectivity for Ellipsoidal and hyperbolic Radon transforms

James Webber, Sean Holman, Eric Todd Quinto

Motion detection in diffraction tomography

Michael Quellmalz, Peter Elbau, Otmar Scherzer, Gabriele Steidl

Deep learning to tackle model inexactness and motion in Compton Scattering Tomography

Gael Rigaud, David Frank

Diffusion based regularization for multi-energy CT with limited data

Bernadette Hahn-Rigaud, Gaël Rigaud, Richard Schmähl

V-line tensor tomography

Gaik Ambartsoumian, Mohammad Javad Latifi, Rohit Kumar Mishra, Indrani Zamindar

Optimal parameter design for spectral CT

Fatma Terzioglu, Guillaume Bal, Emil Sidky

Gamma ray imaging with bidirectional Compton cameras

Lorenz Kuger, Martin Burger

A hybrid algorithm for material decomposition in multi-energy CT

Lukas Neumann, Markus Haltmeier, Thomas Prohaszka

Analytic and Deep learning-based Inversions in Circular Compton Scattering Tomography

Mai K. Nguyen, Cécilia Tarpau, Javier Cebeiro, Ishak Ayad

On a cylindrical scanning modality in three-dimensional Compton scatter tomography

James Webber

Learned proximal operators meets unrolling: a deeply learned regularisation for limited angle tomography

Tatiana Alessandra Bubba

A new variational appraoch for limited data reconstructions in x-ray tomography

Jürgen Frikel

Material Decomposition Techniques for Spectral Computed Tomography

Francesca Bevilacqua, Yiqiu Dong, Jakob Sauer Jørgensen, Alessandro Lanza, Monica Pragiola

Bayesian approach to limited-data CT reconstruction for inspection of subsea pipes

Jakob Sauer Jørgensen

Approaches to the Helsinki Tomography Challenge 2022

Clemens Arndt, Alexander Denker, Sören Dittmer, Johannes Leuschner, Judith Nickel

Directional regularization with the Core Imaging Library for limited-angle CT in the Helsinki Tomography Challenge 2022

Edoardo Pasca, Jakob Jørgensen, Evangelos Papoutsellis, Laura Murgatroyd, Gemma Fardell

VAEs with structured image covariance as priors to inverse imaging problems

Margarat Duff

Limited-Angle Tomography Reconstruction via Deep Learning on Synthetic Data

Thomas Germer, Jan Robine, Sebastian Konietzny, Stefan Harmeling, Tobias Uelwer

Geodesic X-ray tomography on manifolds of low regularity

Antti Kaleva Kykkänen

Invariance of the elastic wave equation in the context of Finsler geometry

Hjørdis Amanda Schlüter

Geometrization of inverse problems in seismology

Joonas Ilmavirta

Reconstruction of anisotropic stiffness tensors using algebraic geometry

Maarten de Hoop, Joonas Ilmavirta, Matti Lassas, Anthony Varilly-Alvarado

Inverse scattering: Regularized Lanczos method for the Lippmann-Schwinger equation

Justin Baker, Elena Cherkaev, Vladimir Druskin, Shari Moskow, Mikhail Zaslavsky

Travel Time Tomography in Transversely Isotropic Elasticity via Microlocal Analysis

Yuzhou Zou

An inverse source problem for the elasto-gravitational equations

Lorenzo Baldassari, Maarten V. de Hoop, Elisa Francini, Sergio Vessella