R
Romulo Pinho
Researcher at University of Antwerp
Publications - 17
Citations - 378
Romulo Pinho is an academic researcher from University of Antwerp. The author has contributed to research in topics: Segmentation & Point distribution model. The author has an hindex of 5, co-authored 17 publications receiving 319 citations. Previous affiliations of Romulo Pinho include University of Lyon.
Papers
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Journal ArticleDOI
Extraction of Airways From CT (EXACT'09)
Pechin Lo,Bram van Ginneken,Joseph M. Reinhardt,Tarunashree Yavarna,Pim A. de Jong,Benjamin Irving,Catalin Fetita,Margarete Ortner,Romulo Pinho,Jan Sijbers,Marco Feuerstein,Anna Fabijańska,Christian Bauer,Reinhard Beichel,Carlos S. Mendoza,Rafael Wiemker,Jaesung Lee,Anthony P. Reeves,Silvia Born,Oliver Weinheimer,Eva M. van Rikxoort,Juerg Tschirren,Ken Mori,Benjamin L. Odry,David P. Naidich,Ieneke J. C. Hartmann,Eric A. Hoffman,Mathias Prokop,Jesper Holst Pedersen,Marleen de Bruijne +29 more
TL;DR: A fusion scheme that obtained superior results is presented, demonstrating that there is complementary information provided by the different algorithms and there is still room for further improvements in airway segmentation algorithms.
Journal ArticleDOI
Registration of sliding objects using direction dependent B-splines decomposition.
TL;DR: The proposed method decomposes the sought deformation into sliding regions to allow discontinuities at their interfaces, but prevents unrealistic solutions by forcing those interfaces to match.
Efficient approaches to intrathoracic airway tree segmentations
Romulo Pinho,Jan Sijbers,W. Vos +2 more
TL;DR: Efficiency and robustness enhancements to a segmentation procedure previously proposed by Tschirren et al. are presented and the method is demonstrated on experimental CT data.
VV, a 4D slicer
S. Rit,Romulo Pinho,V. Delmon,M. Pech,G. Bouilhol,Joël Schaerer,Bharath K. Navalpakkam,Jef Vandemeulebroucke,Jef Vandemeulebroucke,Pierre Seroul,David Sarrut +10 more
Journal ArticleDOI
Learning directional relative positions between mediastinal lymph node stations and organs.
TL;DR: This feasibility study suggests that mediastinal lymph node stations could be satisfactory segmented from thoracic CT using automatically extracted positional relationships with anatomical organs.