Pablo Amil

Pablo Amil
Lifeware

PhD in Computational and Applied Physics

About

17
Publications
7,774
Reads
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166
Citations
Additional affiliations
September 2016 - February 2020
Universitat Politècnica de Catalunya
Position
  • Researcher
Description
  • I worked, mainly, in the development of artificial intelligence systems for analyzing medical images. I also work analyzing laser data and teaching at the faculty of Industrial, Aerospace, and Audiovisual engineering of Terrassa.

Publications

Publications (17)
Article
Full-text available
Optical remote sensors are nowadays ubiquitously used, thanks to unprecedented advances in the last decade in photonics, machine learning and signal processing tools. In this work we study experimentally the remote recovery of audio signals from the silent videos of the movement of optical speckle patterns. This technique can be used even when in b...
Thesis
Full-text available
This thesis work presents novel methods for the analysis and classification of medical images and, more generally, complex data. First, an unsupervised machine learning method is proposed to order anterior chamber OCT (Optical Coherence Tomography) images according to a patient's risk of developing angle-closure glaucoma. In a second study, two out...
Article
Full-text available
Outlier detection in high-dimensional datasets is a fundamental and challenging problem across disciplines that has also practical implications, as removing outliers from the training set improves the performance of machine learning algorithms. While many outlier mining algorithms have been proposed in the literature, they tend to be valid or effic...
Preprint
Full-text available
Forecasting the dynamics of chaotic systems from the analysis of their output signals is a challenging problem with applications in most fields of modern science. In this work, we use a laser model to compare the performance of several machine learning algorithms for forecasting the amplitude of upcoming emitted chaotic pulses. We simulate the dyna...
Article
Full-text available
Forecasting the dynamics of chaotic systems from the analysis of their output signals is a challenging problem with applications in most fields of modern science. In this work, we use a laser model to compare the performance of several machine learning algorithms for forecasting the amplitude of upcoming emitted chaotic pulses. We simulate the dyna...
Article
Full-text available
Retinal fundus imaging is a non-invasive method that allows visualizing the structure of the blood vessels in the retina whose features may indicate the presence of diseases such as diabetic retinopathy (DR) and glaucoma. Here we present a novel method to analyze and quantify changes in the retinal blood vessel structure in patients diagnosed with...
Article
Full-text available
We propose an image processing method for ordering anterior chamber optical coherence tomography (OCT) images in a fully unsupervised manner. The method consists of three steps: Firstly we preprocess the images (filtering the noise, aligning and normalizing the resolution); secondly, a distance measure between images is computed for every pair of i...
Thesis
Full-text available
El presente trabajo de tesis desarrolla un modelo físico útil para la síntesis del audio de tambores que tiene en cuenta la interacción con la cavidad de aire de forma detallada y la no linealidad por modulación de tensión en la membrana. Dicho modelo es verificado ajustando sus parámetros físicos a las medidas sobre tambores reales del candombe ur...
Article
Full-text available
The logistic map is a paradigmatic dynamical system originally conceived to model the discrete-time demographic growth of a population, which shockingly, shows that discrete chaos can emerge from trivial low-dimensional non-linear dynamics. In this work, we design and characterize a simple, low-cost, easy-to-handle, electronic implementation of the...
Article
Full-text available
Multistability in the long term dynamics of the Mackey-Glass (MG) delayed model is analyzed by using an electronic circuit capable of controlling the initial conditions. The system's phase-space is explored by varying the parameter values of two families of initial functions. The evolution equation of the electronic circuit is derived and it i...
Article
Full-text available
Multistability, i.e., the coexistence of several attractors for a given set of parameters, is a characteristic feature of nonlinear systems, and in particular, of systems with time-delays. Using a novel electronic implementation of a well-known time-delayed system, the Mackey-Glass (MG) system, we investigate the organization of the trajectories in...
Article
Full-text available
The celebrated Mackey-Glass model describes the dynamics of physiological \textit{delayed} systems in which the actual evolution depends on the values of the variables at some \textit{previous} times. This kind of systems are usually expressed by delayed differential equations which turn out to be infinite-dimensional. In this contribution, an elec...

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