Arquitectura de Computadores
ARQCOMP
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Complexo Hospitalario Universitario de Santiago
Santiago de Compostela, EspañaPublicacións en colaboración con investigadores/as de Complexo Hospitalario Universitario de Santiago (32)
2021
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Deep learning method for aortic root detection
Computers in Biology and Medicine, Vol. 135
2020
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Automatic detection of anatomical landmarks of the aorta in CTA images
Medical and Biological Engineering and Computing, Vol. 58, Núm. 5, pp. 903-919
2019
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Aorta Centerline Smoothing and Registration Using Variational Models
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Automatic estimation of the aortic lumen geometry by ellipse tracking
International Journal of Computer Assisted Radiology and Surgery, Vol. 14, Núm. 2, pp. 345-355
2018
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Ellipse Motion Estimation Using Parametric Snakes
Journal of Mathematical Imaging and Vision, Vol. 60, Núm. 7, pp. 1095-1110
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Fast and accurate circle tracking using active contour models
Journal of Real-Time Image Processing, Vol. 14, Núm. 4, pp. 793-802
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Segmentation of the aorta using active contours with histogram-based descriptors
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017
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Robust Detection of Circles in the Vessel Contours and Application to Local Probability Density Estimation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Tracking the aortic lumen geometry by optimizing the 3D orientation of its cross-sections
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015
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Automatic detection of pulmonary nodules in MDCT: Performance evaluation with independent datasets
Biomedical Engineering - Applications, Basis and Communications, Vol. 27, Núm. 2
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Clinical evaluation of an automatic method for segmentation and characterization of the thoracic aorta with and without aneurysm patients
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2013
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A hybrid method based on level set and 3D region growing for segmentation of the thoracic aorta
Computer Aided Surgery, Vol. 18, Núm. 5-6, pp. 109-117
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Quantification of right and left ventricular function in cardiac MR imaging: Comparison of semiautomatic and manual segmentation algorithms
Diagnostics, Vol. 3, Núm. 2, pp. 271-282
2011
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Comparative study of ROC regression techniques-Applications for the computer-aided diagnostic system in breast cancer detection
Computational Statistics and Data Analysis, Vol. 55, Núm. 1, pp. 888-902
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Semiautomatic quantification of left and right ventricular function in cardiac magnetic resonance imaging: A preliminary study
Radiologia, Vol. 53, Núm. 1, pp. 39-46
2010
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Semiautomatic Quantification of Left and Right Ventricular Functions in Magnetic Resonance Imaging
COMPUTING IN CARDIOLOGY 2010, VOL 37
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Semiautomatic quantification of left and right ventricular functions in magnetic resonance imaging
Computing in Cardiology
2008
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Detección automática de nódulos pulmonares en tomografía computarizada. Un estudio preliminar
Radiologia, Vol. 50, Núm. 5, pp. 387-392
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Detección automática del nódulo pulmonar subpleural basada en el empleo de contornos activos
Iberian Conference on Information Systems and Technologies, CISTI
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automatic detection of the subpleural lung nodule based on active contours
ACTAS DE LA III CONFERENCIA IBERICA DE SISTEMAS Y TECNOLOGIAS DE LA INFORMACION, VOL 1