Graph theory analysis of resting‐state functional magnetic resonance imaging in essential tremor
Julián Benito ‐ León, Emilio Sanz ‐ Morales, Helena Melero, Elan D. Louis, Juan P. Romero Eduardo Rocon, Norberto Malpica
22 de julio de 2019
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Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction.
Torrado-Carvajal A., Vera-Olmos J., Izquierdo-García D., Catalano O., Morales A., Margolin M.A., Malpica N., Catana C.
Journal of Nuclear Medicine, August 2018
One of the causes of loss of image quality in Positron Emission Tomography (PET) scanners is the attenuation of gamma rays as they pass through the body on the way to the detector. One way to correct the attenuation is to model the anatomy of the patient’s body using the Magnetic Resonance Imaging (MRI) of the PET / MRI scanner. The bone, which is important in attenuation, does not emit a resonance signal. We propose a deep learning model that is capable of simulating a CT image from the RM to achieve complete models, and we show that it improves all the previous methods.
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Computer vision techniques for fat-water separation in ultra-high field MRI for Specific Absorption Rate estimation
Torrado-Carvajal A.,Eryaman Y, Abaci Turk E, Herraiz JL, Hernandez JJ, Adalsteinsson E, Wald L, Malpica N.
IEEE Trans. on Biomedical Engineering, 15 June 2018
We propose a new artificial vision method to create patient models for high-field Resonance planning. Joint work with MIT and Martinos Center – MGH
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DeepEye: Deep convolutional network for pupil detection in real environments
Vera-Olmos, F.J., Pardo, E., Melero, H., Malpica, N
Integrated Computer-Aided Engineering – 28 de Agosto, 2018
The monitoring of the pupil provides interesting information for the diagnosis of ophthalmological and neurological pathologies. The systems that are currently used require high performance cameras mounted on a helmet. We have developed a technique that allows the pupil to be followed in real time in videos acquired with a standard camera, through deep learning techniques. The tool is available on the internet.
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Sex Differences in the Olfactory System: a Functional MRI Study
Melero.H, Borromeo, S., Cristobal-Huerta, A., Manzanedo, E., Luna, G., Toledano, A., Hernandez Tamames, J. A.
Chemosensory Perception – 17 de Septiembre, 2018
Study on the differences between men and women in the perception of odors through functional Magnetic Resonance. The results suggest that women and men process olfactory stimuli differently due to differences in activation in areas of multisensory integration. These data indicate the importance of taking into account the sex factor for the development of more efficient and specific strategies for the evaluation and rehabilitation of olfactory function, as well as for interpreting the loss of smell as an early biomarker of neurological and psychiatric diseases. .…(PDF)
Objective evaluation of multiple sclerosis lesion segmentation using a data management and processing infrastructure
Commowick et al.
Scientific Reports – 20 de septiembre 2018
The appearance of white matter lesions is one of the symptoms of multiple sclerosis. Accurate detection of lesions using artificial vision techniques allows diagnosis and analysis of disease progression. This is a work in collaboration with the main groups in the world that work in this line in which we compare methods developed by each group. Our method was third among all groups.
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Semantic segmentation of mFISH images using convolutional networks
Pardo E., Morgado J.M.T., Malpica N.
IEEE Trans. on Biomedical Engineering, 15 June 2018
The classification of chromosomes, a process known as karyotyping, is the basis of any genetic diagnostic and diagnostic system in some types of cancer. We propose a multispectral image classification methods for karyotyping based on convolutional networks, which greatly improves the state of the art, in collaboration with the company Cytognos.
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22 de Diciembre del 2016
Javier Vera Olmos y N.Malpica
Robust pupil detection under various conditions, allows applications such as the control of HMI (man-machine interfaces) and the design of new diagnostic tools for neurological diseases
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Magnetic Resonance in Medicine
18 de Mayo del 2015
J.A.Hernandez-Tamames y N.Malpica
URJC researchers have developed a method to estimate the skull on magnetic resonance imaging, which allows the creation of specific models for each patient to improve the image quality, both of magnetic resonance imaging and PET. (read more)
Neurology magazine
Febrero del 2015
Helena Melero
Colors, tastes, numbers?: Synesthesia in … Synesthesia is a neuronal phenomenon in which stimulation in a sensory or cognitive current leads to associated experiences in a second non-stimulated current (PDF)
Colors, flavors, numbers? Synesthesia in a Spanish sample
Melero. H, Peña-Melián, A. & Ríos-Lago, M.
Revista de Neurología – 16 de Febrero, 2015
Synesthesia is a neurological phenomenon characterized by the simultaneous activation of two sensory systems (or attributes), one of which has not been directly stimulated. This activation occurs involuntarily, automatically and consistently over time. The analysis of the responses of 803 participants suggests that 13.95% of the sample studied experiences some synesthesia. The data suggest that the presence of synesthesia in the Spanish sample studied is high and that research on the phenomenon and its different modalities must be addressed based on current knowledge about its phenomenological variability and its genetic and neurophysiological bases. Likewise, the results obtained are useful for adjusting the items of the questionnaire and increasing its discriminatory capacity.
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