Verónica Médina-Bañuelos

发表

A comparison of feature extraction strategies using wavelet dictionaries and feature selection methods for single trial P300-based BCI

Rubén Acevedo, Yanina Atum, Hugo Leonardo Rufiner, 2018, Medical & Biological Engineering & Computing.

P300 Detection Based on EEG Shape Features

Ernesto Bribiesca, Edgar Garduño, Verónica Médina-Bañuelos, 2016, Comput. Math. Methods Medicine.

Classification of normal and pathological aging processes based on brain MRI morphology measures

Verónica Médina-Bañuelos, Oscar Yáñez-Suárez, Jorge Luis Perez-Gonzalez, 2014, Medical Imaging.

Neural Modulation in Aversive Emotion Processing: An Independent Component Analysis Study

Verónica Médina-Bañuelos, Luis Jiménez-Ángeles, César Romero-Rebollar, 2016, Comput. Math. Methods Medicine.

Evaluation of Brain Tortuosity Measurement for the Automatic Multimodal Classification of Subjects with Alzheimer's Disease

Verónica Médina-Bañuelos, Jorge Luis Perez-Gonzalez, Eduardo Barbará-Morales, 2020, Comput. Intell. Neurosci..

Probabilistic Learning Coherent Point Drift for 3D Ultrasound Fetal Head Registration

Joel C. Huegel, Fernando Arámbula Cosío, Verónica Médina-Bañuelos, 2020, Comput. Math. Methods Medicine.

Data-driven brain MRI segmentation supported on edge confidence and a priori tissue information

Verónica Médina-Bañuelos, Oscar Yáñez-Suárez, J. R. Jimenez-Alaniz, 2006, IEEE Transactions on Medical Imaging.

Mirror symmetry detection in curves represented by means of the Slope Chain Code

Edgar Garduño, Wendy Aguilar, Ernesto Bribiesca, 2019, Pattern Recognit..

Coupling of radial-basis network and active contour model for multispectral brain MRI segmentation

Raquel Valdés-Cristerna, Verónica Médina-Bañuelos, Oscar Yáñez-Suárez, 2004, IEEE Transactions on Biomedical Engineering.

Automatic segmentation of the fetal cerebellum on ultrasound volumes, using a 3D statistical shape model

Benjamín Gutiérrez-Becker, Fernando Arámbula Cosío, Verónica Médina-Bañuelos, 2013, Medical & Biological Engineering & Computing.

Deep Learning Spatial Compounding from Multiple Fetal Head Ultrasound Acquisitions

Nidiyare Hevia Montiel, Verónica Médina-Bañuelos, Jorge Luis Perez-Gonzalez, 2020, ASMUS/PIPPI@MICCAI.

EEG denoising using narrow-band independent component selection in time domain

Raquel Valdés-Cristerna, Verónica Médina-Bañuelos, Oscar Yáñez-Suárez, 2017, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Normality Index of Ventricular Contraction Based on a Statistical Model from FADS

Raquel Valdés-Cristerna, Verónica Médina-Bañuelos, Enrique Vallejo, 2013, Comput. Math. Methods Medicine.

Analysis of Ventricular Contraction by Factorial Phase Imaging with Equilibrium Radionuclide Angiography

Raquel Valdés-Cristerna, Verónica Médina-Bañuelos, Enrique Vallejo, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.