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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List Options: Authors and Sessions · Authors and Sessions (Short Titles) · Authors and Presentations

Author(s)	Organization(s)	Contribution Title
Paganin, David	School of Physics and Astronomy, Monash University, Australia	X-ray phase and dark-field retrieval from propagation-based images, via the Fokker-Planck Equation
Paixão, João	Universidade Aberta, Portugal; CEMAT, University of Lisbon, Portugal	Revisiting the Hybrid method for the inverse scattering transmission problem
Palacios, Benjamin	Pontificia Universidad Catolica, Chile	A 1-Wasserstein framework for forward-peaked diffusive transport Presenter
Palafox González, Abel	University of Guadalajara, Mexico	Detection of geophysical structures using optical flow methodologies for potential data
Pallikarakis, Nikolaos	National Technical University of Athens	The inverse spectral problem for a spherically symmetric refractive index using modified transmission eigenvalues
Pan, Liming	University of Basel, Switzerland	Recontructing Interactions from Dynamics
Panathale Bheemaiah, Suma	Manipal Institute of Technology, Manipal Academy of Higher Education, India	Extension and convergence of sixth order Jarratt-type method Presenter
Pankka, Pekka	University of Helsinki	Deep Invertible Approximation of Topologically Rich Maps between Manifolds
Papadakis, Nicolas	University of Bordeaux, France	Gradient Step and Proximal denoisers for convergent plug-and-play image restoration.
Papafitsoros, Kostas	Queen Mary University of London, United Kingdom	Learning data-driven priors for image reconstruction: From bilevel optimisation to neural network-based unrolled schemes Presenter Learning Spatio-Temporal Regularization Parameter-Maps for Total Variation-Minimization Reconstruction in Dynamic Cardiac MRI
Papoutsellis, Evangelos	Science and Technology Facilities Council, United Kingdom; Finden Ltd; Science and Technology Facilities Council, Harwell Campus, Didcot, United Kingdom	Directional regularization with the Core Imaging Library for limited-angle CT in the Helsinki Tomography Challenge 2022 Learning Spatio-Temporal Regularization Parameter-Maps for Total Variation-Minimization Reconstruction in Dynamic Cardiac MRI Learning data-driven priors for image reconstruction: From bilevel optimisation to neural network-based unrolled schemes
Park, Won-Kwang	Kookmin University, Korea, Republic of (South Korea)	On the identification of small anomaly via MUSIC algorithm without background information Presenter
Parzer, Fabian	University of Vienna, Austria	Uncertainty-aware blob detection in astronomical imaging Presenter
Pasca, Edoardo	Science and Technology Facilities Council, United Kingdom	Directional regularization with the Core Imaging Library for limited-angle CT in the Helsinki Tomography Challenge 2022 Presenter
Paternain, Gabriel	University of Cambridge, UK	Inverse problem for Yang-Mills-Higgs fields Resonant forms at zero for dissipative Anosov flows Geometric inverse problems in 2D: a transport twistor perspective
Patrinos, Panagiotis	KULeuven, Belgium	Scalable moment relaxations for graph-structured problems with values in a manifold: An optimal transport approach
Pavlov, Konstantin M.	School of Physical and Chemical Sciences, University of Canterbury, New Zealand; Monash University, Australia; University of New England, 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
Pearson, John	The University of Edinburgh, Edinburgh (UK)	Parameter-Robust Preconditioning for Oseen Iteration Applied to Navier–Stokes Control Problems
Pelt, Daan	Leiden University, the Netherlands	Multi-stage Deep Learning Artifact Reduction for Computed Tomography
Pereverzyev, Sergei	The Johann Radon Institute for Computational and Applied Mathematics (RICAM), Austria	Aggregation by the Linear Functional Strategy in Regularized Domain Adaptation Presenter On the Regularized Functional Regression Presenter Regularized Radon - Nikodym differentiation and some of its applications
Pereverzyev, Sergei V.	Austrian Academy of Sciences, Austria	Parameter choice in distance-regularized domain adaptation Regularization for learning from unlabeled data using related labeled data
Pereverzyev Jr., Sergiy	Medical University of Innsbruck, Austria	Imbalanced data sets in a magnetic resonance imaging case study of preterm neonates: a strategy for identifying informative variables Presenter
Pereyra, Marcelo	Heriot-Watt University, United Kingdom; Maxwell Institute for Mathematical Sciences, United Kingdom; School of Mathematical and Computer Sciences, Heriot-Watt University	Accelerating MCMC for imaging science by using an implicit Langevin algorithm Bayesian computation with Plug & Play priors for inverse problems in imaging Bayesian modelling and inference for radiation source localisation Efficient Bayesian computation for low-photon imaging problems Maximum marginal likelihood estimation of regularisation parameters in Plug & Play Bayesian estimation: Application to non-blind and semi-blind image deconvolution Scalable Bayesian uncertainty quantification with learned convex regularisers
Petit, Romain	MaLGa center, department of Mathematics, University of Genoa; Universita di Genova	Approximate inverse scattering via convex programming Presenter Total variation regularized problems: a support stability result
Petrak, Sibylle	Hellma Materials GmbH, Germany	Machine Learning Techniques applied to Compton Cameras Presenter
Petrakova, Viktoriya	Institute of Computational Modeling SB RAS, Krasnoyarsk, Russian Federation	Inverse problems and deep learning in epidemiology and social processes
Pham, Ha	Team Makutu, Inria University of Pau and Pays de l'Adour, France	Investigation of the effects of Cowling approximation on adiabatic wave propagation in helioseismology
Philidet, Jordan	Max Planck Institute for Solar System Research, Germany	Probing solar turbulent viscosity with inertial modes Presenter
Piccialli, Francesco	University of Naples Federico II, Italy	Speckle noise removal via learned variational models
Pieronek, Lukas	Karlsruhe Institute of Technology, Germany	Interior transmission eigenvalue trajectories Mathematical challenges in Full Waveform inversion Presenter
Pierotti, Dario	Politecnico di Milano, Italy	On the identification of cavities in a nonlinear diffusion-reaction model arising from cardiac electrophysiology
Pietschmann, Jan-F.	Universität Augsburg, Germany	Data Driven Gradient Flows Presenter
Pinetz, Thomas	University of Bonn, Germany	Shared Prior Learning of Energy-Based Models for Image Reconstruction
Plato, Robert	Universität Siegen, Germany	Analysis of the discrepancy principle for Tikhonov regularization under low order source conditions New results for variational regularization with oversmoothing penalty term in Banach spaces Presenter
Plonka, Gerlind	Georg-August-University of Goettingen, Goettingen, Germany	Combining Non-Data-Adaptive Transforms For OCT Image Denoising By Iterative Basis Pursuit
Pock, Thomas	Graz University of Technology, Austria; Technical University of Graz, Austria	Calibration-Based Probabilistic Error Bounds for Inverse Problems in Imaging Noise Estimation via Tractable Diffusion Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging Shared Prior Learning of Energy-Based Models for Image Reconstruction
Pohjola, Ilmari	University of Helsinki, Finland	Dual-grid parameter choice method for total variation regularised image deblurring
Poon, Clarice	University of Bath, United Kingdom	An off-the-grid approach to multi-compartment magnetic fingerprinting Presenter Super-resolved Lasso Presenter
Posilicano, Andrea	DiSAT, Università dell'Insubria, Como, Italy	Inverse wave scattering in the time domain Presenter Time domain analysis of body resonant-modes for classical waves
Potthast, Roland	Deutscher Wetterdienst, Germany	Learning Dynamical Models and Model Components from Observations Presenter
Pragiola, Monica	University of Naples Federico II, Italy	Material Decomposition Techniques for Spectral Computed Tomography
Pragliola, Monica	University of Naples Federico II, Italy	Masked and Unmasked Principles for Automatic Parameter Selection in Variational Image Restoration for Poisson Noise Corruption Speckle noise removal via learned variational models Presenter
Pricop-Jeckstadt, Mihaela	University POLITEHNICA of Bucharest, Romania	Adaptive estimation of $\alpha-$generalized random fields for statistical linear inverse problems with repeated measurements Presenter
Prohaszka, Thomas	Universität Innsbruck, Austria	A hybrid algorithm for material decomposition in multi-energy CT
Protonotarios, Nicholas E.	Mathematics Research Center, Academy of Athens, Athens, Greece; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK; Institute of Communication and Computer Systems, National Technical University of Athens, Athens, Greece	Augmented total variation regularization in imaging inverse problems Presenter
Pulkkinen, Aki	University of Eastern Finland, Finland	One-step estimation of spectral optical parameters in quantitative photoacoustic tomography Utilising Monte Carlo method for light transport in the inverse problem of quantitative photoacoustic tomography
Pursiainen, Sampsa	Computing Sciences, Tampere University, Korkeakoulunkatu 3, Tampere 33072, Finland; Tampere University, Finland	Adaptive Method for Bayesian EEG/MEG Source Localization to Support Treatment of Focal Epilepsy Presenter Combined EEG/MEG source analysis for reconstructing the epileptogenic zone in focal epilepsy
Puschnig, Peter	University of Graz, Austria	Imaging molecular wave functions with photoemission orbital tomography: Recent developments Presenter
Puthawala, Michael	South Dakota State University, United States of America	Deep Invertible Approximation of Topologically Rich Maps between Manifolds Presenter Mapping properties of neural networks and inverse problems

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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