Publicacións en colaboración con investigadores/as de Complexo Hospitalario Universitario de Santiago (32)

2021

  1. Deep learning method for aortic root detection

    Computers in Biology and Medicine, Vol. 135

2020

  1. 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

  1. 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)

  2. 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

  1. Ellipse Motion Estimation Using Parametric Snakes

    Journal of Mathematical Imaging and Vision, Vol. 60, Núm. 7, pp. 1095-1110

  2. Fast and accurate circle tracking using active contour models

    Journal of Real-Time Image Processing, Vol. 14, Núm. 4, pp. 793-802

  3. 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

  1. 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)

  2. 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

  1. Automatic detection of pulmonary nodules in MDCT: Performance evaluation with independent datasets

    Biomedical Engineering - Applications, Basis and Communications, Vol. 27, Núm. 2

  2. 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

  1. 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

  2. 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

  1. 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

  2. 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

  1. Semiautomatic Quantification of Left and Right Ventricular Functions in Magnetic Resonance Imaging

    COMPUTING IN CARDIOLOGY 2010, VOL 37

  2. Semiautomatic quantification of left and right ventricular functions in magnetic resonance imaging

    Computing in Cardiology

2008

  1. Detección automática de nódulos pulmonares en tomografía computarizada. Un estudio preliminar

    Radiologia, Vol. 50, Núm. 5, pp. 387-392

  2. Detección automática del nódulo pulmonar subpleural basada en el empleo de contornos activos

    Iberian Conference on Information Systems and Technologies, CISTI

  3. 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