M25. Inverse Problems in Biomedical and Material Imaging

Imaging techniques are powerful tools for the analysis of human organs, biological systems or mechanical and optical materials. They range from different kinds of tomography such as X-ray CT (Computed Tomography), EIT (Electrical Impedance Tomography), DOT (Diffuse Optical Tomography), PT (Photoacoustic Tomography), OCT (Optical Coherence Tomography), Ultrasound Imaging, Elastography, etc. to different kinds of microscopy (fluorescence microscopy, single-molecule fluorescence, Light Sheet Fluorescence Microscopy, etc.). They are based on the solution of inverse problems that require mathematical modeling of the acquisition process and numerical methods for the solution of the equations relating the acquired data to the unknown object.

The purpose of this mini-symposium is to bring together researchers with different backgrounds and interests in Inverse Problems in Biomedical and Material Imaging. All researchers, academicians, practitioners, as well as students interested in these knowledge areas, are invited to submit their recently achieved results in modeling, solution methods and their use on real data from biomedical applications and non destructive material testing.

Organizers:
Damiana Lazzaro, University of Bologna, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.
Andrea Samorè, University of Bologna, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it. 
Laurent Seppecher, École Centrale de Lyon, France, This email address is being protected from spambots. You need JavaScript enabled to view it.

Invited Speakers:
Elie Bretin, ICJ, INSA de Lyon, France, This email address is being protected from spambots. You need JavaScript enabled to view it.
Direct inversion method for quasi-static medical elastography: stability and discretization

Elisabeth Brusseau, CREATIS, INSA de Lyon, France, This email address is being protected from spambots. You need JavaScript enabled to view it.
Mapping the relative shear modulus within biological tissues from internal displacement fields measured in quasi-static ultrasound elastography

Luca Calatroni, I3S, Sophia-Antipolis, France, This email address is being protected from spambots. You need JavaScript enabled to view it.
Recent advances in correlation-based super-resolution fluorescent microscopy: from sparse/non-convex to generative approaches

Serena Morigi, University of Bologna, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.
Spatially adaptive image reconstruction in electrical impedance tomography

Damiana Lazzaro, University of Bologna, This email address is being protected from spambots. You need JavaScript enabled to view it.    
A deep convolutional neural network for brightness estimation in fluorescence imaging

Angèle Niclas, École Centrale de Lyon, France, This email address is being protected from spambots. You need JavaScript enabled to view it.
High sensitivity imaging of defects in elastic waveguides using near resonance frequencies

Elena Loli Piccolomini, University of Bologna, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.
RISING: A new framework for few-view tomographic image reconstruction with deep learning

Simone Rebegoldi, University of Florence, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.
A scaled adaptive FISTA-like algorithm for super-resolution image microscopy

Gabriele Scrivanti, Université Paris-Saclay, France, This email address is being protected from spambots. You need JavaScript enabled to view it.
A variational approach for joint image recovery-segmentation based on spatially varying generalised gaussian models

Elisabetta Vallarino, University of Genova , Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.
Optimal regularized estimation of the cross-power spectrum from indirect measurements: theoretical results and application to brain connectivity

Alessandro Viani, University of Genova, Italy, This email address is being protected from spambots. You need JavaScript enabled to view it.
Free hyper-parameter selection and averaging in Magneto/Electro-encephalography






More in this category: « M24. Inverse Problems via Topological Derivatives M26. Variational Methods for Inverse Problems in Imaging »
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PLENARY SPEAKERS

Prof. Dr. Liliana Borcea

University of Michigan, USA
http://www-personal.umich.edu/~borcea/

Inverse Scattering in Random Media, Electro-Magnetic Inverse Problems, Effective Properties of Composite Materials, Transport in High Contrast, Heterogeneous Media

Prof. Dr. Bernd Hofmann

Chemnitz University of Technology, Germany
https://www.tu-chemnitz.de/mathematik/inverse_probleme/hofmann/

Regularization of Inverse and Ill-Posed Problems

Prof. Dr. John C Schotland

Yale University, USA
https://gauss.math.yale.edu/~js4228/

Inverse Problems with Applications to Imaging, Scattering Theory, Waves in Random Media, Nano-Scale Optics, Coherence Theory and Quantum Optics

Prof. Dr. Erkki Somersalo

Case Western Reserve University, USA
https://sites.google.com/case.edu/erkkisomersalo/home

Computational and Statistical Inverse Problems, Probabilistic Methods for Uncertainty Quantification, Modeling of Complex Systems, Biomedical applications

Prof. Dr. Gunther Uhlmann

University of Washington, USA
https://sites.math.washington.edu/~gunther/

Inverse Problems and Imaging, Partial Differential Equations, Microlocal Analysis, Scattering Theory

Prof. Dr. Jun Zou

The Chinese University of Hong Kong, Hong Kong SAR
https://www.math.cuhk.edu.hk/~zou/

Numerical Solutions of Electromagnetic Maxwell Systems and Interface Problems, Inverse and Ill-Posed Problems, Preconditioned and Domain Decomposition Methods