Claudia Cruz-Martínez

ORCID: 0000-0002-7005-8529
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About
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Research Areas
  • Functional Brain Connectivity Studies
  • Advanced Vision and Imaging
  • Advanced MRI Techniques and Applications
  • Robotics and Sensor-Based Localization
  • Advanced Neuroimaging Techniques and Applications
  • 3D Surveying and Cultural Heritage
  • Biomedical Text Mining and Ontologies
  • Remote Sensing and LiDAR Applications
  • Image Retrieval and Classification Techniques
  • Cell Image Analysis Techniques
  • Neural dynamics and brain function

National Institute of Astrophysics, Optics and Electronics
2017-2022

Augmented reality combines real footage taken of a scene with virtual elements. However, most current methods rely on camera localisation and 3D reconstruction or point cloud generation in order to integrate augmented the footage. In contrast, this work we present novel method augment based recognition dominant planes interior scenes. Our uses rule system select predefined decisions set variables infer scene. For this, propose combine information from texture features, measure blurring...

10.1109/ismar-adjunct.2016.0060 article EN 2016-09-01

From the current computational methods used for schizophrenia diagnosis, fMRI data are frequently processed by i) model-based criteria, using specific models according to hemodynamic function, or ii) data-driven methods, based on description. The result is a description different feature selectors extract main features as input classifiers. We propose representation extracted in two stages: short-range connectivity, through our proposed Rough Simple Linear Iterative Clustering Algorithm, and...

10.1109/bibm52615.2021.9669442 article EN 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2021-12-09
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