Angélica Atehortúa
Orcid: 0000-0002-6192-1757Affiliations:
- National University of Colombia, Bogotá, Colombia
According to our database1,
Angélica Atehortúa
authored at least 12 papers
between 2013 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Int. J. Medical Informatics, November, 2023
2022
Characterization of motion patterns by a spatio-temporal saliency descriptor in cardiac cine MRI.
Comput. Methods Programs Biomed., 2022
2021
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data.
IEEE J. Biomed. Health Informatics, 2021
2020
Int. J. Comput. Assist. Radiol. Surg., 2020
2018
Proceedings of the Processing and Analysis of Biomedical Information, 2018
Automatic Left Ventricle Quantification in Cardiac MRI via Hierarchical Refinement of High-Level Features by a Salient Perceptual Grouping Model.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
2017
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017
Quantifying stimulus-response rehabilitation protocols by auditory feedback in Parkinson's disease gait pattern.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017
Fusion of 4D echocardiography and cine cardiac magnetic resonance volumes using a salient spatio-temporal analysis.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017
2016
Automatic segmentation of 4D cardiac MR images for extraction of ventricular chambers using a spatio-temporal approach.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
2013
A Novel Right Ventricle Segmentation Approach from Local Spatio-temporal MRI Information.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013