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Investigating machine learning techniques for MRI-based classification of brain neoplasms
PurposeDiagnosis and characterization of brain neoplasms appears of utmost importance for therapeutic management. The emerging of imaging techniques, such as Magnetic Resonance (MR) imaging, givesExpand
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Chimera States in Networks of Nonlocally Coupled Hindmarsh-Rose Neuron Models
We have identified the occurrence of chimera states for various coupling schemes in networks of two-dimensional and three-dimensional Hindmarsh–Rose oscillators, which represent realistic models ofExpand
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On visual gaze tracking based on a single low cost camera
Gaze tracking technologies provide an unconventional way of human-computer interaction, envisaged to advance practical applications and industrial products in a multitude of fields. The success ofExpand
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Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma
BACKGROUND AND OBJECTIVE The O6-methylguanine-DNA-methyltransferase (MGMT) promoter methylation has been shown to be associated with improved outcomes in patients with glioblastoma (GBM) and may be aExpand
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Real-time voice activity detection for ECoG-based speech brain machine interfaces
In this article, we investigated the performance of a real-time voice activity detection module exploiting different time-frequency methods for extracting signal features in a subject with implantedExpand
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On the development of brain quantum-computer interfaces
In this paper, we overview basic quantum machine learning algorithms and we highlight their potential application for rehabilitation brain computer interface systems. The paper provides a very briefExpand
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Chimera states in a two–population network of coupled pendulum–like elements
AbstractMore than a decade ago, a surprising coexistence of synchronous and asynchronous behavior called the chimera state was discovered in networks of nonlocally coupled identical phaseExpand
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Joint Spatial-Spectral Feature Space Clustering for Speech Activity Detection from ECoG Signals
Brain-machine interfaces for speech restoration have been extensively studied for more than two decades. The success of such a system will depend in part on selecting the best brain recording sitesExpand
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EEG-based Classification of Epileptic and Non-Epileptic Events using Multi-Array Decomposition
In this paper, the classification of epileptic and non-epileptic events from EEG is investigated based on temporal and spectral analysis and two different schemes for the formulation of the trainingExpand
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Combining Outlier Detection with Random Walker for Automatic Brain Tumor Segmentation
The diagnosis of brain neoplasms has been facilitated by the emerging of high-quality imaging techniques, such as Magnetic Resonance Imaging (MRI), while the combination of several sequences fromExpand
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