MS01: Machine Learning for Inverse Problems in Medical Imaging
Flemming, Jens; Fiedler, Christian
MS02: Advances in regularization for some classes of nonlinear inverse problems
Hofmann, Bernd; Plato, Robert
MS03: Compressed Sensing meets Statistical Inverse Learning
Bubba, Tatiana, A.; Ratti, Luca; Santacesaria, Matteo
MS04: Statistical and computational aspects of non-linear inverse problems
Nickl, Richard; Wang, Sven
MS05: Numerical meet statistical methods in inverse problems
Hanke, Martin; Reiss, Markus; Werner, Frank
MS06: Inverse Acoustic and Electromagnetic Scattering Theory - 30 years later
Cakoni, Fioralba; Haddar, Houssem
MS07: Regularization for Learning from Limited Data: From Theory to Medical Applications
Zellinger, Werner; Holzleitner, Markus; Pereverzyev, Sergei
MS08: Integral Operators in Potential Theory and Applications
Choi, Doosung; Lim, Mikyoung; Shipman, Stephen P.
MS09: Forward and inverse domain uncertainty quantification
Kaarnioja, Vesa; Schilings, Claudia
MS10: Optimization in Inverse Scattering: from Acoustics to X-rays
Bot, Radu; Luke, Russell
MS11: Defying the Curse of Dimensionality – Theory and Algorithms for Large Dimensional Bayesian Inversion
Flock, Rafael; Dong, Yiqiu; Zahm, Oliver
MS12: Fast optimization-based methods for inverse problems
Jensen, Bjørn; Valkonen, Tuomo
MS13: Stochastic iterative methods for inverse problems
Bungert, Leon; Jahn, Tim
MS14: Inverse Modelling with Applications
Lesnic, Daniel; Van Bockstal, Karel
MS15: Experimental and Algorithmic Progress in Photoemission Orbital Imaging
Luke, Russell; Mathias, Stefan
MS16: Wave propagation and quantitative tomography
Mindrinos, Leonidas; Veselka, Leopold
MS17: Machine learning techniques for Bayesian inverse problems
Senchukova, Angelina; de Wiljes, Jana
MS18: Inverse problems for fractional and nonlocal equations
Lin, Yi-Hsuan; Railo, Jesse; Salo, Mikko
MS19: Theory and algorithms of super-resolution in imaging and inverse problems
Ammari, Habib; Liu, Ping; Zhang, Hai
MS20: Recent advances in inverse problems for elliptic and hyperbolic equations
Lai, Ru-Yu; Yan, Lili
MS21: Prior Information in Inverse Problems
Dong, Yiqiu; Horst, Andreas; Lemvig, Jakob
MS22: Imaging with Non-Linear Measurements: Tomography and Reconstruction from Phaseless or Folded Data
Beckmann, Matthias; Beinert, Robert; Quellmalz, Michael
MS23: Recent developments in reconstruction methods for inverse scattering and electrical impedance tomography
Griesmaier, Roland; Hyvönen,Nuutti
MS24: Learned Regularization for Solving Inverse Problems
Hertrich, Johannes; Neumayer, Sebastian
MS25: Hyperparameter estimation in imaging inverse problems: recent advances on optimisation-based, learning and statistical approaches
Calatroni, Luca; Lanza, Alessandro; Pragliola, Monica
MS26: Trends and open problems in cryo electron microscopy
Esteve-Yagüe, Carlos; Schwab, Johannes
MS27: Emerging methods and applications in electromagnetic inverse problem
Kang, Sangwoo; Park, Won-Kwang
MS28: Modelling and optimisation in non-Euclidean settings for inverse problems
Calatroni, Luca; Estatico, Claudio; Lorenz, Dirk; Resmerita, Elena
MS29: Eigenvalues in inverse scattering
Halla, Martin; Monk, Peter
MS30: Inverse Problems on Graphs and Machine Learning
Blåsten, Emilia; Lassas, Matti; Lu, Jinpeng
MS31: Inverse Problems in Elastic Media
Aspri, Andrea; Sherina, Ekaterina
MS32: Parameter identification in time dependent partial differential equations
Kaltenbacher, Barbara; Rundell, William
MS33: Quantifying uncertainty for learned Bayesian models
Betcke, Marta; Holler, Martin
MS34: Learned reconstructions for nonlinear inverse problems
Arridge, Simon; Hauptmann, Andreas; Öktem, Ozan
MS35: Edge‐preserving uncertainty quantification for imaging
Jørgensen, Jakob Sauer; Alghamdi, Amal; Riis, Nicolai
MS36: Advances in limited-data X.ray tomography
Jørgensen, Jakob Sauer ; Siltanen, M. Samuli
MS37: Passive imaging in terrestrial and extra-terrestrial seismology
Faucher, Florian; Fournier, Damien
MS38: Inverse eigenvalue problems in astrophysics
Gehan, Charlotte; Fournier, Damien
MS39: Statistical inverse problems: regularization, learning and guarantees
Knudsen, Kim; Rastogi, Abhishake
MS40: Dynamic Imaging
Elbau, Peter; Kirisits, Clemens
MS41: Geomathematics
Ilmavirta, Joonas; Saksala, Teemu
MS42: Inverse Problems with Anisotropy
Knudsen, Kim
MS43: Inverse Problems in radiation protection and nuclear safety
Burger, Martin; Kuger, Lorenz; Siltanen, Samuli
MS44: Modelling in Earth and planetary sciences by data inversion at various scales
Gerhards, Christian; Michel, Volker; Simons, Frederik J.
MS45: Optimal Transport meets Inverse Problems
Carioni, Marcello; Pietschmann, Jan-Frederik; Schlottbom, Matthias
MS46: Inverse problems for nonlinear equations
Lassas, Matti; Oksanen, Lauri; Tyni, Teemu
MS47: Scattering and spectral imaging: inverse problems and algorithms
Quinto, Todd; Rigaud, Gaël
MS48: Robustness and reliablity of Deep Learning for noisy medical imaging
Benfenati, Alessandro; Morotti, Elena
MS49: Applied parameter identification in physics
Nguyen, Tram Thi Ngoc; Wald, Anne
MS50: Mathematics and Magnetic Resonance Imaging
Bredies, Kristian; Clason, Christian; Uecker, Martin
MS51: Analysis, numerical computation, and uncertainty quantification for stochastic PDE-based inverse problems
Karamehmedović, Mirza; Triki, Faouzi
MS52: Integral geometry, rigidity and geometric inverse problems
Monard, François; Stefanov, Plamen
MS53: Uniqueness and stability for inverse problems in PDEs
Franchini, Elisa; Sincich, Eva
MS54: The x-ray transform and its generalizations: Theory, methods, and applications
Sahoo, Suman Kumar; Krishnan, Venkateswaran
MS55: Nonlinear Inverse Scattering and Related Topics
Xu, Xiang; Yang,Yang
MS56: Inverse Problems of Transport Equations and Related Topics
Lai, Ru-Yu; Zhou, Hanming
MS57: Inverse Problems in Time-Domain Imaging at the Small Scales
Bonnetier, Eric; Cao, Xinlin
MS58: Shape Optimization and Inverse Problems
Afraites, Lekbir; Laurain, Antoine; Rabago, Julius Fergy
M59: Advanced Reconstruction and Phase Retrieval in Nano X-ray Tomography
Wald, Anne; Salditt, Tim
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