126 citations · 592 across the 53 of their papers we have counts for
57 papers
Recomposed realities: animating still images via patch clustering and randomness
Markus Juvonen, Samuli Siltanen
We present a patch-based image reconstruction and animation method that uses existing image data to bring still images to life through motion. Image patches from curated datasets a…
Learned enclosure method for experimental EIT data
Sara Sippola, Siiri Rautio, Andreas Hauptmann +2
Electrical impedance tomography (EIT) is a non-invasive imaging method with diverse applications, including medical imaging and non-destructive testing. The inverse problem of reco…
Dual-grid parameter choice method with application to image deblurring
Markus Juvonen, Bjørn Jensen, Ilmari Pohjola +2
Variational regularization of ill-posed inverse problems is based on minimizing the sum of a data fidelity term and a regularization term. The balance between them is tuned using a…
Stroke classification using Virtual Hybrid Edge Detection from in silico electrical impedance tomography data
Juan Pablo Agnelli, Fernando S. Moura, Siiri Rautio +4
Electrical impedance tomography (EIT) is a non-invasive imaging method for recovering the internal conductivity of a physical body from electric boundary measurements. EIT combined…
CT scans without X-rays: parallel-beam imaging from nonlinear current flows
Melody Alsaker, Siiri Rautio, Fernando Moura +5
Parallel-beam X-ray computed tomography (CT) and electrical impedance tomography (EIT) are two imaging modalities which stem from completely different underlying physics, and for d…
TILT: topological interface recovery in limited-angle tomography
Elli Karvonen, Matti Lassas, Pekka Pankka +1
A novel reconstruction method is introduced for the severely ill-posed inverse problem of limited-angle tomography. It is well known that, depending on the available measurement, a…