I
Ignacio Arganda-Carreras
Researcher at Donostia International Physics Center
Publications - 79
Citations - 51868
Ignacio Arganda-Carreras is an academic researcher from Donostia International Physics Center. The author has contributed to research in topics: Image segmentation & Computer science. The author has an hindex of 22, co-authored 78 publications receiving 36911 citations. Previous affiliations of Ignacio Arganda-Carreras include Agro ParisTech & Institut national de la recherche agronomique.
Papers
More filters
Journal ArticleDOI
Fiji: an open-source platform for biological-image analysis
Johannes Schindelin,Ignacio Arganda-Carreras,Erwin Frise,Verena Kaynig,Mark Longair,Tobias Pietzsch,Stephan Preibisch,Curtis Rueden,Stephan Saalfeld,Benjamin Schmid,Jean-Yves Tinevez,Daniel J. White,Volker Hartenstein,Kevin W. Eliceiri,Pavel Tomancak,Albert Cardona +15 more
TL;DR: Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis that facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system.
Journal ArticleDOI
BoneJ: Free and extensible bone image analysis in ImageJ.
Michael Doube,Michał M. Kłosowski,Ignacio Arganda-Carreras,Fabrice P. Cordelières,Robert P. Dougherty,Jonathan S. Jackson,Benjamin Schmid,John R. Hutchinson,Sandra J. Shefelbine +8 more
TL;DR: This work implemented standard bone measurements in a novel ImageJ plugin, BoneJ, with which it analysed trabecular bone, whole bones and osteocyte lacunae and found that available software solutions were expensive, inflexible or methodologically opaque.
Journal ArticleDOI
Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification.
Ignacio Arganda-Carreras,Ignacio Arganda-Carreras,Verena Kaynig,Curtis Rueden,Kevin W. Eliceiri,Johannes Schindelin,Albert Cardona,H. Sebastian Seung +7 more
TL;DR: The Trainable Weka Segmentation (TWS), a machine learning tool that leverages a limited number of manual annotations in order to train a classifier and segment the remaining data automatically, is introduced.
Journal ArticleDOI
TrakEM2 software for neural circuit reconstruction
Albert Cardona,Stephan Saalfeld,Johannes Schindelin,Ignacio Arganda-Carreras,Stephan Preibisch,Mark Longair,Pavel Tomancak,Volker Hartenstein,Rodney J. Douglas +8 more
TL;DR: A software application, TrakEM2, is designed that addresses the systematic reconstruction of neuronal circuits from large electron microscopical and optical image volumes and addresses the challenges of image volume composition from individual, deformed images.
Journal ArticleDOI
MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ.
David Legland,David Legland,David Legland,Ignacio Arganda-Carreras,Philippe Andrey,Philippe Andrey +5 more
TL;DR: The MorphoLibJ library proposes a large collection of generic tools based on MM to process binary and grey-level 2D and 3D images, integrated into user-friendly plugins.