C
Carlos Ortiz-de-Solorzano
Researcher at University of Navarra
Publications - 103
Citations - 4901
Carlos Ortiz-de-Solorzano is an academic researcher from University of Navarra. The author has contributed to research in topics: Cancer & Computer science. The author has an hindex of 28, co-authored 92 publications receiving 3983 citations. Previous affiliations of Carlos Ortiz-de-Solorzano include Chartered Institute of Management Accountants & Utrecht University.
Papers
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Journal ArticleDOI
Combination Strategies in Multi-Atlas Image Segmentation: Application to Brain MR Data
TL;DR: It is shown that local combination strategies outperform global methods in segmenting high-contrast structures, while global techniques are less sensitive to noise when contrast between neighboring structures is low.
Journal ArticleDOI
3D reconstruction of histological sections: Application to mammary gland tissue.
Ignacio Arganda-Carreras,Rodrigo Fernandez-Gonzalez,Arrate Muñoz-Barrutia,Carlos Ortiz-de-Solorzano +3 more
TL;DR: A novel method for the automatic 3D reconstruction of thick tissue blocks from 2D histological sections is presented and an experimental validation of this tool is presented using both synthetic and real data.
Journal ArticleDOI
An objective comparison of cell-tracking algorithms
Vladimír Ulman,Martin Maška,Klas E. G. Magnusson,Olaf Ronneberger,Carsten Haubold,Nathalie Harder,Pavel Matula,Petr Matula,David Svoboda,Miroslav Radojevic,Ihor Smal,Karl Rohr,Joakim Jalden,Helen M. Blau,Oleh Dzyubachyk,Boudewijn P. F. Lelieveldt,Boudewijn P. F. Lelieveldt,Pengdong Xiao,Yuexiang Li,Siu-Yeung Cho,Alexandre Dufour,Jean-Christophe Olivo-Marin,Constantino Carlos Reyes-Aldasoro,Jose Alonso Solis-Lemus,Robert Bensch,Thomas Brox,Johannes Stegmaier,Ralf Mikut,Steffen Wolf,Fred A. Hamprecht,Tiago Esteves,Pedro Quelhas,Omer Burak Demirel,Lars Malmström,Florian Jug,Pavel Tomancak,Erik Meijering,Arrate Muñoz-Barrutia,Michal Kozubek,Carlos Ortiz-de-Solorzano +39 more
TL;DR: It is found that methods that either take prior information into account using learning strategies or analyze cells in a global spatiotemporal video context performed better than other methods under the segmentation and tracking scenarios included in the Cell Tracking Challenge.
Journal ArticleDOI
A benchmark for comparison of cell tracking algorithms
Martin Maška,Vladimír Ulman,David Svoboda,Pavel Matula,Petr Matula,Cristina Ederra,Ainhoa Urbiola,Tomás España,Subramanian Venkatesan,Deepak M.W. Balak,Pavel Karas,Tereza Bolcková,Markéta Štreitová,Craig Carthel,Stefano Coraluppi,Nathalie Harder,Karl Rohr,Klas E. G. Magnusson,Joakim Jalden,Helen M. Blau,Oleh Dzyubachyk,Pavel Křížek,Guy M. Hagen,David Pastor-Escuredo,Daniel Jimenez-Carretero,Maria J. Ledesma-Carbayo,Arrate Muñoz-Barrutia,Erik Meijering,Michal Kozubek,Carlos Ortiz-de-Solorzano +29 more
TL;DR: Six algorithms covering a variety of segmentation and tracking paradigms have been compared and ranked based on their performance on both synthetic and real datasets in the Cell Tracking Challenge.
Book ChapterDOI
Consistent and elastic registration of histological sections using vector-spline regularization
Ignacio Arganda-Carreras,Carlos Oscar S. Sorzano,Roberto Marabini,José María Carazo,Carlos Ortiz-de-Solorzano,Jan Kybic +5 more
TL;DR: A new image registration algorithm for the alignment of histological sections that combines the ideas of B-spline based elastic registration and consistent image registration, to allow simultaneous registration of images in two directions (direct and inverse).