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Andres Santos

Researcher at Technical University of Madrid

Publications -  239
Citations -  5391

Andres Santos is an academic researcher from Technical University of Madrid. The author has contributed to research in topics: Image registration & Iterative reconstruction. The author has an hindex of 33, co-authored 233 publications receiving 4905 citations. Previous affiliations of Andres Santos include Complutense University of Madrid & Hospital General Universitario Gregorio Marañón.

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Applying watershed algorithms to the segmentation of clustered nuclei

TL;DR: An algorithm based on morphological watersheds has been implemented and tested on the segmentation of microscopic nuclei clusters and provides a tool that can be used for the implementation of both gradient- and domain-based algorithms, and, more importantly, for the Implementation of mixed (gradient- and shape-based) algorithms.
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Evaluation of autofocus functions in molecular cytogenetic analysis

TL;DR: A systematic evaluation of several autofocus functions used for analytical fluorescent image cytometry studies of counterstained nuclei shows that functions based on correlation measures have the best performance for this type of image.
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Cell Lineage Reconstruction of Early Zebrafish Embryos Using Label-Free Nonlinear Microscopy

TL;DR: A framework for imaging and reconstructing unstained whole zebrafish embryos for their first 10 cell division cycles is designed and measurements along the cell lineage are reported with micrometer spatial resolution and minute temporal accuracy.
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Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation

TL;DR: A new spatio-temporal elastic registration algorithm for motion reconstruction from a series of images to estimate displacement fields from two-dimensional ultrasound sequences of the heart, which uses a multiresolution optimization strategy to obtain a higher speed and robustness.
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List-mode-based reconstruction for respiratory motion correction in PET using non-rigid body transformations

TL;DR: Results demonstrate that although both correction techniques considered lead to significant improvements in accounting for respiratory motion artefacts in the lung fields, the elastic-transformation-based correction leads to a more uniform improvement across the lungs for different lesion sizes and locations.