11^th Applied Inverse Problems Conference

September 4 - 8, 2023 | Göttingen, Germany

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Index of Authors

A list of all persons who contribute to the sessions of this conference. Please select a letter below to list all persons with the corresponding surname. Select the presentation in the right-hand column to access session and presentation details.

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Author(s)	Organization(s)	Contribution Title
Kaarnioja, Vesa	Free University of Berlin, Germany	Quasi-Monte Carlo methods for Bayesian optimal experimental design problems governed by PDEs Presenter
Kabanikhin, Sergey	Sobolev Institute of Mathematics of SB RAS, Russian Federation	Inverse problems and deep learning in epidemiology and social processes
Kachanovska, Maryna	INRIA, France	Galerkin Foldy-Lax asymptotic models for time-domain scattering by small particles Presenter
Kainz, Bernhard	Department Artificial Intelligence in Biomedical Engineering, FAU Erlangen-Nuremberg, Germany	Deep learning MR image reconstruction and task-based evaluation
Kaltenbacher, Barbara	texas A&M University, United States of America; University of Klagenfurt, Austria	Nonlinearity parameter imaging in the frequency domain On the determination of a coefficient in a space-fractional equation with operators of Abel type Presenter Optimality of pulse energy for photoacoustic tomography Some coefficient identification problems from boundary data satisfying range invariance for Newton type methods Presenter The Recovery of Coefficients in Wave Equations from Time-trace Data
Kang, Hyeonbae	Ehime University, Japan	Spectrum of the Neumann-Poincaré operator on thin domains
Kar, Manas	Indian Institute of Science Education and Research Bhopal, India	Electromagnetic waves generated by a moving dielectric under the special relativity assumptions Presenter
Karamehmedović, Mirza	Technical University of Denmark	Feynman's inverse problem - an inverse problem for water waves Fourier method for inverse source problem using correlation of passive measurements
Karamehmedovic, Mirza	Technical University of Denmark (DTU), Denmark	Optimization under uncertainty for the Helmholtz equation with application to photonic nanojets configuration Spectral properties of radiation for the Helmholtz equation with a random coefficient Presenter
Karimi, Milad	Georg August Universität Göttingen, Germany,	X-ray holographic imaging using intensity correlations Presenter
Karlsson, Johan	KTH Royal Institute of Technology	Inverse problems in imaging and information fusion via structured multimarginal optimal transport Presenter
Kashyap, Samarth Ganesh	Max Planck Institute for Solar System Research, Göttingen, Germany	Helioseismic inversions for active latitudes Presenter
Katsevich, Alexander	University of Central Florida, United States of America	Resolution of reconstruction from discrete Radon transform data Presenter
Katz, Rami	Tel Aviv Universtiy, Israel	Optimal super-resolution of close point sources and stability of Prony's method
Kawano, Alexandre	University of São Paulo, Brasil	Boundary identification in cantilever beam equation related to the atomic force microscopy
Kekkonen, Hanne	Delft University of Technology, Netherlands	Edge preserving Random Tree Besov Priors Presenter Random tree Besov priors for detail detection Presenter
Kemajou Mbakam, Charlesquin	Heriot-Watt University, United Kingdom	Maximum marginal likelihood estimation of regularisation parameters in Plug & Play Bayesian estimation: Application to non-blind and semi-blind image deconvolution Presenter
Kenis, Robin	KULeuven, Belgium	Scalable moment relaxations for graph-structured problems with values in a manifold: An optimal transport approach Presenter
Kereta, Zeljko	Dept. of Computer Science, University College London, UK	Gradient descent-based algorithms for inverse problems in variable exponent Lebesgue spaces Regularized, pretrained and subspace-restricted Deep Image Prior for CT reconstruction SGD for select inverse problems in Banach spaces Presenter
Khan, Akhtar	Rochester Institute of Technology, United States of America	An Abstract Framework for Stochastic Elliptic Inverse Problems. Presenter
Kim, Jinho	Department Artificial Intelligence in Biomedical Engineering, FAU Erlangen-Nuremberg, Germany	Deep learning MR image reconstruction and task-based evaluation
Kimanius, Dari	MRC-Laboratory of Molecular Biology, United Kingdom	Reconstructing Molecular Flexibility in Cryogenic Electron Microscopy
Kimura, Masato	Kanazawa Univ., Japan	Properties of solutions for anisotropic viscoelastic systems
Kinash, Nataliia	Tallinn University of Technology, Estonia	Inverse Problems for Generalized Subdiffusion Equations Presenter
Kindermann, Stefan	Johannes Kepler University Linz, Austria	Convergence Nestorov acceleration for linear ill-posed problems Presenter Multiscale hierarchical decomposition methods for ill-posed problems
Kirkeby, Adrian	Simula Research Laboratory, Norway	Feynman's inverse problem - an inverse problem for water waves Presenter
Kitchen, Marcus J.	School of Physics and Astronomy, Monash University, Australia	X-ray phase and dark-field retrieval from propagation-based images, via the Fokker-Planck Equation Zero-optics X-ray dark-field imaging using dual energies
Klass, Emily	Georg-August-University Göttingen, Germany	Reconstruction of active forces generated by actomyosin networks Presenter Reconstruction of active forces in actomyosin droplets
Klatzer, Teresa	University of Edinburgh, United Kingdom; Maxwell Institute for Mathematical Sciences, United Kingdom	Accelerating MCMC for imaging science by using an implicit Langevin algorithm Presenter
Kleefeld, Andreas	Forschungszentrum Jülich GmbH, Germany	Interior transmission eigenvalue trajectories Presenter
Klibanov, Mikhail	University of North Carolina at Charlotte, United States of America	Globally Convergent Convexification Method for Coefficient Inverse Problems for Three Equations Presenter Some Inverse Problems for Parabolic Equations Presenter
Klinkhammer, Chantal	Universität Siegen, Germany	Analysis of the discrepancy principle for Tikhonov regularization under low order source conditions Presenter New results for variational regularization with oversmoothing penalty term in Banach spaces
Kluth, Tobias	University of Bremen, Germany	Data-driven regularization theory of invertible ResNets for solving inverse problems Deep Learning for Reconstruction in Nano CT Parameter identification in magnetization models for large ensembles of magnetic nanoparticles Presenter Learned post-processing approaches for nano-CT reconstruction
Knoll, Florian	Department Artificial Intelligence in Biomedical Engineering, FAU Erlangen-Nuremberg, Germany	Deep learning MR image reconstruction and task-based evaluation Presenter
Knopp, Tobias	Hamburg University of Technology (TUHH), Germany; University Medical Center Hamburg-Eppendorf (UKE), Germany	Phase retrieval in the wild: In situ optimized reconstruction for X-ray in-line holography
Knudsen, Kim	Technical University of Denmark, Denmark	Posterior consistency for Bayesian inverse Problems with piecewise constant inclusions
Kobler, Erich	Universitätsklinikum Bonn, Germany; University of Bonn, Germany	Noise Estimation via Tractable Diffusion Shared Prior Learning of Energy-Based Models for Image Reconstruction
Kocurov, Benjamin	University of Göttingen, Germany	Mathematical Methods in Parallel MRI Presenter
Kodgirwar, Shantanu	Universitätsklinikum Jena, Germany	Geodesic slice sampling on the sphere
Kofler, Andreas	Physikalisch-Technische Bundesanstalt, Germany; Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany, Germany	Learning data-driven priors for image reconstruction: From bilevel optimisation to neural network-based unrolled schemes Learning Spatio-Temporal Regularization Parameter-Maps for Total Variation-Minimization Reconstruction in Dynamic Cardiac MRI Presenter
Kolbig, Silke	Zwickau University of Applied Sciences, Germany	From Manual to Automatic: Streamlining MRI Marker Detection and Localization for Surgical Planning
Kolbitsch, Christoph	Physikalisch-Technische Bundesanstalt, Germany; Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany, Germany	Learning data-driven priors for image reconstruction: From bilevel optimisation to neural network-based unrolled schemes Learning Spatio-Temporal Regularization Parameter-Maps for Total Variation-Minimization Reconstruction in Dynamic Cardiac MRI
Kolehmainen, Ville	University of Eastern Finland, Finland	Monitoring of hemorrhagic stroke using Electrical Impedance Tomography Presenter
Konietzny, Sebastian	Technical University of Dortmund, Germany	Limited-Angle Tomography Reconstruction via Deep Learning on Synthetic Data
Kothari, Konik	University of Basel, Switzerland; University of Illinois at Urbana-Champaign	Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields
Koulouri, Alexandra	Computing Sciences, Tampere University, Korkeakoulunkatu 3, Tampere 33072, Finland	Adaptive Method for Bayesian EEG/MEG Source Localization to Support Treatment of Focal Epilepsy
Kouri, Drew P.	Sandia National Laboratories, United States of America	An Inexact Trust-Region Algorithm for Nonsmooth Nonconvex Optimization
Koutsourelakis, Phaedon-Stelios	Professorship of Data-driven Materials Modeling, Technical University of Munich, Germany	Efficient high-dimensional Bayesian multi-fidelity inverse analysis for expensive legacy solvers
Kovachki, Nikola B	NVIDIA, USA	Operator Learning Meets Inverse Problems
Kow, Pu-Zhao	National Chengchi University, Taiwan	An inverse problem related to fractional wave equation Presenter Unique continuation for the momentum ray transform Presenter
Krainz, Lisa	Medical University of Vienna, Austria	An Intensity-based Inversion Method for Quasi-Static Optical Coherence Elastography Quantitative Parameter Reconstruction from Optical Coherence Tomographic Data
Kretschmann, Remo	Institute of Mathematics, University of Würzburg, Germany	Bayesian hypothesis testing in statistical inverse problems Presenter
Krishnan, Venkateswaran P.	TIFR CAM, Bangalore, India; TIFR Centre for Applicable Mathematics, India	Lipschitz stability for some inverse problems for a hyperbolic PDE with space and time dependent coefficients UCP and counterexamples to UCP involving generalized ray transforms Presenter
Krivorotko, Olga	Sobolev Institute of Mathematics of SB RAS, Russian Federation; Novosibirsk State University, Novosibirsk, Russian Federation	Inverse problems and deep learning in epidemiology and social processes Presenter
Krupchyk, Katya	University of California, Irvine, United States of America	Fractional anisotropic Calderon problem on Riemannian manifolds Presenter Inverse problems for nonlinear elliptic PDE Presenter
Krüppel, Steffen	Department of Ophthalmology, University Medical Center Göttingen, Göttingen, Germany; Bernstein Center for Computational Neuroscience, Göttingen, Germany; Cluster of Excellence “Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells” (MBExC), University of Göttingen, Göttingen, Germany	Revealing Functional Substructure of Retinal Ganglion Cell Receptive Fields Using Tomography-Based Stimulation Presenter
Kuess, Raphael	Humboldt-Universität zu Berlin, Germany	On modeling and regularization of piezoelectric inverse problems using all-at-once and reduced approaches Presenter
Kuger, Lorenz	FAU Erlangen-Nürnberg; Deutsches Elektronen-Synchrotron DESY; Friedrich-Alexander-Universität Erlangen-Nürnberg	Gamma ray imaging with bidirectional Compton cameras Presenter Gamma spectrum analysis in nuclear decommissioning Practical gamma ray imaging with monolithic scintillation detector Compton cameras Presenter
Kujanpaa, Antti	The Hong Kong University of Science and Technology	Determining a Lorentzian metric from the source-to-solution map for the relativistic Boltzmann equation
Kykkänen, Antti Kaleva	University of Jyväskylä, Finland	Geodesic X-ray tomography on manifolds of low regularity Presenter

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Privacy Statement · Conference: AIP 2023

11th Applied Inverse Problems Conference

September 4 - 8, 2023 | Göttingen, Germany

Index of Authors

11^th Applied Inverse Problems Conference