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20072025
most citedLearning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography

126 citations · 592 across the 53 of their papers we have counts for

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Showing 2016Show all

6 papers · 1 filter

physics.data-an2016★ 6 cited

Tomographic X-ray data of a lotus root filled with attenuating objects

Tatiana A. Bubba, Andreas Hauptmann, Simo Huotari +2

This is the documentation of the tomographic X-ray data of a lotus root, filled with four different attenuating objects, of different sizes. Data are available at www.fips.fi/datas…

math.AP2016★ 8 cited

Propagation and recovery of singularities in the inverse conductivity problem

Allan Greenleaf, Matti Lassas, Matteo Santacesaria +2

The ill-posedness of Calderón's inverse conductivity problem, responsible for the poor spatial resolution of Electrical Impedance Tomography (EIT), has been an impetus for the deve…

math.NA2016★ 7 cited

Shape recovery from sparse tomographic X-ray data

Heikki Haario, Aki Kallonen, Marko Laine +3

A two-dimensional tomographic problem is studied. The target is assumed to be a homogeneous object bounded by a smooth curve. A Non Uniform Rational Basis Splines (NURBS) curve is…

math.NA2016★ 12 cited

Direct inversion from partial-boundary data in electrical impedance tomography

Andreas Hauptmann, Matteo Santacesaria, Samuli Siltanen

In Electrical Impedance Tomography (EIT) one wants to image the conductivity distribution of a body from current and voltage measurements carried out on its boundary. In this paper…

physics.data-an2016

Photographic dataset: random peppercorns

Teemu Helenius, Samuli Siltanen

This is a photographic dataset collected for testing image processing algorithms. The idea is to have sets of different but statistically similar images. In this work the images sh…

math.NA2016

The D-bar Method for Diffuse Optical Tomography: a computational study

Janne P. Tamminen, Tanja Tarvainen, Samuli Siltanen

The D-bar method at negative energy is numerically implemented. Using the method we are able to numerically reconstruct potentials and investigate exceptional points at negative en…