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Xabier Artaechevarria
Researcher at University of Navarra
Publications - 12
Citations - 767
Xabier Artaechevarria is an academic researcher from University of Navarra. The author has contributed to research in topics: Adaptive filter & Smoothing. The author has an hindex of 7, co-authored 12 publications receiving 725 citations.
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
Quantification of lung damage in an elastase-induced mouse model of emphysema
Arrate Muñoz-Barrutia,Mario Ceresa,Xabier Artaechevarria,Luis M. Montuenga,Carlos Ortiz-de-Solorzano +4 more
TL;DR: Micro-CT-derived descriptors are more sensitive than the other methods compared, to detect in vivo early signs of the disease.
Journal ArticleDOI
Evaluation of micro-CT for emphysema assessment in mice: comparison with non-radiological techniques
Xabier Artaechevarria,David Blanco,Gabriel de Biurrun,Mario Ceresa,Daniel Pérez-Martín,Gorka Bastarrika,Juan P. de Torres,Javier J. Zulueta,Luis M. Montuenga,Carlos Ortiz-de-Solorzano,Arrate Muñoz-Barrutia +10 more
TL;DR: Histomorphometry is the most sensitive technique since it detects airspace enlargement before the other methods (1 h after treatment) and micro-CT correlates well with histology (r2 = 0.63) proving appropriate for longitudinal studies.
Proceedings ArticleDOI
Efficient classifier generation and weighted voting for atlas-based segmentation: two small steps faster and closer to the combination oracle
TL;DR: This work introduces One Registration, Multiple Segmentations (ORMS), a procedure to obtain multiple segmentations with a single online registration by weighting the different segmentations according to the mutual information between the test image and the atlas image after registration.
Journal ArticleDOI
Airway segmentation and analysis for the study of mouse models of lung disease using micro-CT.
Xabier Artaechevarria,Daniel Pérez-Martín,Mario Ceresa,G de Biurrun,David Blanco,Luis M. Montuenga,B. van Ginneken,Carlos Ortiz-de-Solorzano,Arrate Muñoz-Barrutia +8 more
TL;DR: A fast and robust murine airway segmentation and reconstruction algorithm based on a propagating fast marching wavefront that divides the tree into segments that is helpful to understand the physiology of diseased lungs.