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Carlos S. Mendoza
Researcher at Massachusetts Institute of Technology
Publications - 27
Citations - 997
Carlos S. Mendoza is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Image segmentation & Segmentation. The author has an hindex of 13, co-authored 27 publications receiving 770 citations. Previous affiliations of Carlos S. Mendoza include Children's National Medical Center & George Washington University.
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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
Distinct quantitative computed tomography emphysema patterns are associated with physiology and function in smokers.
Peter J. Castaldi,Raúl San José Estépar,Carlos S. Mendoza,Craig P. Hersh,Nan M. Laird,James D. Crapo,David A. Lynch,Edwin K. Silverman,George R. Washko +8 more
TL;DR: Local histogram-based measures of distinct CT low-attenuation patterns are more predictive of measures of lung function, dyspnea, quality of life, and health care use than standard quantitative measures of emphysema from computed tomography.
Journal ArticleDOI
Personalized assessment of craniosynostosis via statistical shape modeling.
Carlos S. Mendoza,Carlos S. Mendoza,Nabile M. Safdar,Kazunori Okada,Emmarie Myers,Gary F. Rogers,Marius George Linguraru,Marius George Linguraru +7 more
TL;DR: This work proposes a computational anatomy approach for measuring shape abnormality in terms of the closest case from a multi-atlas of normal cases, and uses a statistical shape model to produce diagnostic features tailored to the anatomy of the subject.
Journal ArticleDOI
Detection of Motor Impairment in Parkinson's Disease Via Mobile Touchscreen Typing
Teresa Arroyo-Gallego,Maria J. Ledesma-Carbayo,Álvaro Sánchez-Ferro,Ian Butterworth,Carlos S. Mendoza,Michele Matarazzo,Paloma Montero,Roberto López-Blanco,Verónica Puertas-Martín,Rocío Trincado,Luca Giancardo +10 more
TL;DR: An algorithm to detect Parkinson's disease by analyzing the typing activity on smartphones independently of the content of the typed text is presented, and a set of touchscreen typing features based on a covariance, skewness, and kurtosis analysis of the timing information of the data to capture PD motor signs are proposed.
Journal ArticleDOI
Computer keyboard interaction as an indicator of early Parkinson's disease.
Luca Giancardo,Álvaro Sánchez-Ferro,Teresa Arroyo-Gallego,Teresa Arroyo-Gallego,Ian Butterworth,Carlos S. Mendoza,Paloma Montero,Michele Matarazzo,Jose A. Obeso,Martha L. Gray,R. San Jose Estepar +10 more
TL;DR: Data is presented indicating that the routine interaction with computer keyboards can be used to detect motor signs in the early stages of PD, and a solution that measures the key hold times during the normal use of a computer without any change in hardware and converts it to a PD motor index is explored.