List of research papers on journals and conference proceedings published by the IDAL members.
2022
Sánchez-Ortí, Joan Vicent; Balanzá-Martínez, Vicent; Correa-Ghisays, Patricia; Selva-Vera, Gabriel; Vila-Francés, Joan; Magdalena-Benedito, Rafael; San-Martin, Constanza; Victor, Víctor M.; Escribano-Lopez, Irene; Hernández-Mijares, Antonio; Vivas-Lalinde, Juliana; Crespo-Facorro, Benedicto; Tabarés-Seisdedos, Rafael
In: Acta Psychiatrica Scandinavica, vol. n/a, no. n/a, 2022.
@article{https://doi.org/10.1111/acps.13433,
title = {Specific metabolic syndrome components predict cognition and social functioning in people with type 2 diabetes mellitus and severe mental disorders},
author = {Joan Vicent S\'{a}nchez-Ort\'{i} and Vicent Balanz\'{a}-Mart\'{i}nez and Patricia Correa-Ghisays and Gabriel Selva-Vera and Joan Vila-Franc\'{e}s and Rafael Magdalena-Benedito and Constanza San-Martin and V\'{i}ctor M. Victor and Irene Escribano-Lopez and Antonio Hern\'{a}ndez-Mijares and Juliana Vivas-Lalinde and Benedicto Crespo-Facorro and Rafael Tabar\'{e}s-Seisdedos},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/acps.13433},
doi = {https://doi.org/10.1111/acps.13433},
year = {2022},
date = {2022-04-13},
journal = {Acta Psychiatrica Scandinavica},
volume = {n/a},
number = {n/a},
abstract = {Abstract Objective Obesity and metabolic diseases such as metabolic syndrome (MetS) are more prevalent in people with type 2 diabetes mellitus (T2DM), major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ). MetS components might be associated with neurocognitive and functional impairments in these individuals. The predictive and discriminatory validity of MetS and its components regarding those outcomes were assessed from prospective and transdiagnostic perspectives. Methods Metabolic syndrome components and neurocognitive and social functioning were assessed in 165 subjects, including 30 with SZ, 42 with BD, 35 with MDD, 30 with T2DM, and 28 healthy controls (HCs). A posteriori, individuals were classified into two groups. The MetS group consisted of those who met at least three of the following criteria: abdominal obesity (AO), elevated triglycerides (TG), reduced high-density lipoprotein cholesterol (HDL), elevated blood pressure (BP), and elevated fasting glucose (FPG); the remaining participants comprised the No-MetS group. Mixed one-way analysis of covariance and linear and binary logistic regression analyses were performed. Results Cognitive impairment was significantly greater in the MetS group (n = 82) than in the No-MetS group (n = 83), with small effect sizes (p < 0.05; η²p = 0.02 \textendash 0.03). In both groups, the most robust associations between MetS components and neurocognitive and social functioning were observed with TG and FPG (p < 0.05). There was also evidence for a significant relationship between cognition and BP in the MetS group (p < 0.05). The combination of TG, FPG, elevated systolic BP and HDL best classified individuals with greater cognitive impairment (p < 0.001), and TG was the most accurate (p < 0.0001). Conclusions Specific MetS components are significantly associated with cognitive impairment across somatic and psychiatric disorders. Our findings provide further evidence on the summative effect of MetS components to predict cognition and social functioning and allow the identification of individuals with worse outcomes. Transdiagnostic, lifestyle-based therapeutic interventions targeted at that group hold the potential to improve health outcomes.},
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Ai, Ming-Zhong; Ding, Yongcheng; Ban, Yue; Martín-Guerrero, José D.; Casanova, Jorge; Cui, Jin-Ming; Huang, Yun-Feng; Chen, Xi; Li, Chuan-Feng; Guo, Guang-Can
Experimentally realizing efficient quantum control with reinforcement learning Journal Article
In: Science China Physics, Mechanics & Astronomy, vol. 65, no. 5, pp. 250312, 2022, ISBN: 1869-1927.
@article{STA_experimental2022,
title = {Experimentally realizing efficient quantum control with reinforcement learning},
author = {Ming-Zhong Ai and Yongcheng Ding and Yue Ban and Jos\'{e} D. Mart\'{i}n-Guerrero and Jorge Casanova and Jin-Ming Cui and Yun-Feng Huang and Xi Chen and Chuan-Feng Li and Guang-Can Guo},
url = {https://doi.org/10.1007/s11433-021-1841-2},
doi = {10.1007/s11433-021-1841-2},
isbn = {1869-1927},
year = {2022},
date = {2022-03-10},
urldate = {2022-03-10},
journal = {Science China Physics, Mechanics \& Astronomy},
volume = {65},
number = {5},
pages = {250312},
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Fernández-de-las-Peñas, César; Martín-Guerrero, José; Navarro-Pardo, Esperanza; Torres-Macho, Juan; Canto-Diez, MªGabriela; Pellicer-Valero, Oscar
Gastrointestinal symptoms at the acute COVID-19 phase are risk factors for developing gastrointestinal post-COVID symptoms: a multicenter study Journal Article
In: Internal and Emergency Medicine, vol. 17, no. 2, pp. 583–586, 2022, ISBN: 1970-9366.
@article{cite-keyiem,
title = {Gastrointestinal symptoms at the acute COVID-19 phase are risk factors for developing gastrointestinal post-COVID symptoms: a multicenter study},
author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Jos\'{e} Mart\'{i}n-Guerrero and Esperanza Navarro-Pardo and Juan Torres-Macho and MªGabriela Canto-Diez and Oscar Pellicer-Valero},
url = {https://doi.org/10.1007/s11739-021-02850-5},
doi = {10.1007/s11739-021-02850-5},
isbn = {1970-9366},
year = {2022},
date = {2022-03-01},
journal = {Internal and Emergency Medicine},
volume = {17},
number = {2},
pages = {583--586},
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Ding, Yongcheng; Martín-Guerrero, José D.; Song, Yujing; Magdalena-Benedicto, Rafael; Chen, Xi
Active learning for the optimal design of multinomial classification in physics Journal Article
In: Phys. Rev. Research, vol. 4, iss. 1, pp. 013213, 2022.
@article{PhysRevResearch.4.013213,
title = {Active learning for the optimal design of multinomial classification in physics},
author = {Yongcheng Ding and Jos\'{e} D. Mart\'{i}n-Guerrero and Yujing Song and Rafael Magdalena-Benedicto and Xi Chen},
url = {https://doi.org/10.1103/PhysRevResearch.4.013213},
doi = {10.1103/PhysRevResearch.4.013213},
year = {2022},
date = {2022-03-01},
journal = {Phys. Rev. Research},
volume = {4},
issue = {1},
pages = {013213},
publisher = {American Physical Society},
keywords = {},
pubstate = {published},
tppubtype = {article}
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Pellicer-Valero, Oscar J.; Jiménez, José L. Marenco; Gonzalez-Perez, Victor; Ramón-Borja, Juan Luis Casanova; García, Isabel Martín; Benito, María Barrios; Gómez, Paula Pelechano; Rubio-Briones, José; Rupérez, María José; Martín-Guerrero, José D.
In: Scientific Reports, vol. 12, no. 1, pp. 2975, 2022, ISBN: 2045-2322.
@article{sr_pellicer,
title = {Deep learning for fully automatic detection, segmentation, and Gleason grade estimation of prostate cancer in multiparametric magnetic resonance images},
author = {Oscar J. Pellicer-Valero and Jos\'{e} L. Marenco Jim\'{e}nez and Victor Gonzalez-Perez and Juan Luis Casanova Ram\'{o}n-Borja and Isabel Mart\'{i}n Garc\'{i}a and Mar\'{i}a Barrios Benito and Paula Pelechano G\'{o}mez and Jos\'{e} Rubio-Briones and Mar\'{i}a Jos\'{e} Rup\'{e}rez and Jos\'{e} D. Mart\'{i}n-Guerrero},
url = {https://doi.org/10.1038/s41598-022-06730-6},
isbn = {2045-2322},
year = {2022},
date = {2022-02-22},
urldate = {2022-02-22},
journal = {Scientific Reports},
volume = {12},
number = {1},
pages = {2975},
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Miranda, Eduardo R.; Martín-Guerrero, José D.; Venkatesh, Satvik; Hernani-Morales, Carlos; Lamata, Lucas; Solano, Enrique
Quantum Brain Networks: A Perspective Journal Article
In: Electronics, vol. 11, no. 10, 2022, ISSN: 2079-9292.
@article{electronics11101528,
title = {Quantum Brain Networks: A Perspective},
author = {Eduardo R. Miranda and Jos\'{e} D. Mart\'{i}n-Guerrero and Satvik Venkatesh and Carlos Hernani-Morales and Lucas Lamata and Enrique Solano},
url = {https://doi.org/10.3390/electronics11101528},
issn = {2079-9292},
year = {2022},
date = {2022-01-01},
journal = {Electronics},
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Fernández-de-las-Peñas, César; Martín-Guerrero, José D.; Cancela-Cilleruelo, Ignacio; Moro-López-Menchero, Paloma; Rodríguez-Jiménez, Jorge; Navarro-Pardo, Esperanza; Pellicer-Valero, Oscar J.
In: Journal of Infection, vol. 84, no. 5, pp. 729–731, 2022, ISSN: 0163-4453.
@article{recovery_daily,
title = {Exploring the recovery curves for long-term post-COVID functional limitations on daily living activities: The LONG-COVID-EXP-CM multicenter study},
author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Jos\'{e} D. Mart\'{i}n-Guerrero and Ignacio Cancela-Cilleruelo and Paloma Moro-L\'{o}pez-Menchero and Jorge Rodr\'{i}guez-Jim\'{e}nez and Esperanza Navarro-Pardo and Oscar J. Pellicer-Valero},
url = {https://doi.org/10.1016/j.jinf.2022.01.031},
issn = {0163-4453},
year = {2022},
date = {2022-01-01},
journal = {Journal of Infection},
volume = {84},
number = {5},
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Cigarán-Méndez, Margarita I.; Pellicer-Valero, Oscar J.; Martín-Guerrero, José D.; Varol, Umut; Fernández-de-las-Peñas, César; Navarro-Pardo, Esperanza; Valera-Calero, Juan A.
Bayesian Linear Regressions Applied to Fibromyalgia Syndrome for Understanding the Complexity of This Disorder Journal Article
In: International Journal of Environmental Research and Public Health, vol. 19, no. 8, 2022, ISSN: 1660-4601.
@article{ijerph19084682,
title = {Bayesian Linear Regressions Applied to Fibromyalgia Syndrome for Understanding the Complexity of This Disorder},
author = {Margarita I. Cigar\'{a}n-M\'{e}ndez and Oscar J. Pellicer-Valero and Jos\'{e} D. Mart\'{i}n-Guerrero and Umut Varol and C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Esperanza Navarro-Pardo and Juan A. Valera-Calero},
url = {https://doi.org/10.3390/ijerph19084682},
doi = {10.3390/ijerph19084682},
issn = {1660-4601},
year = {2022},
date = {2022-01-01},
journal = {International Journal of Environmental Research and Public Health},
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Fernández-de-las-Peñas, César; Martín-Guerrero, José D.; Navarro-Pardo, Esperanza; Rodríguez-Jiménez, Jorge; Pellicer-Valero, Oscar J.
In: Journal of Infection, vol. 84, no. 2, pp. 248-288, 2022, ISSN: 0163-4453.
@article{FERNANDEZDELASPENAS2022248,
title = {Post-COVID functional limitations on daily living activities are associated with symptoms experienced at the acute phase of SARS-CoV-2 infection and internal care unit admission: A multicenter study},
author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Jos\'{e} D. Mart\'{i}n-Guerrero and Esperanza Navarro-Pardo and Jorge Rodr\'{i}guez-Jim\'{e}nez and Oscar J. Pellicer-Valero},
url = {https://doi.org/10.1016/j.jinf.2021.08.009},
issn = {0163-4453},
year = {2022},
date = {2022-01-01},
journal = {Journal of Infection},
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pages = {248-288},
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Fernández-de-las-Peñas, César; Martín-Guerrero, José D.; Cancela-Cilleruelo, Ignacio; Moro-López-Menchero, Paloma; Rodríguez-Jiménez, Jorge; Pellicer-Valero, Oscar J.
Exploring the trajectory recovery curve of the number of post-COVID Symptoms: The LONG-COVID-EXP-CM Multicenter Study Journal Article
In: International Journal of Infectious Diseases, vol. 117, pp. 201-203, 2022, ISSN: 1201-9712.
@article{FERNANDEZDELASPENAS2022201,
title = {Exploring the trajectory recovery curve of the number of post-COVID Symptoms: The LONG-COVID-EXP-CM Multicenter Study},
author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Jos\'{e} D. Mart\'{i}n-Guerrero and Ignacio Cancela-Cilleruelo and Paloma Moro-L\'{o}pez-Menchero and Jorge Rodr\'{i}guez-Jim\'{e}nez and Oscar J. Pellicer-Valero},
url = {https://doi.org/10.1016/j.ijid.2022.02.010},
issn = {1201-9712},
year = {2022},
date = {2022-01-01},
journal = {International Journal of Infectious Diseases},
volume = {117},
pages = {201-203},
keywords = {},
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Fernández-de-las-Peñas, César; Pellicer-Valero, Oscar J.; Navarro-Pardo, Esperanza; Palacios-Ceña, Domingo; Florencio, Lidiane L.; Guijarro, Carlos; Martín-Guerrero, José D.
In: International Journal of Infectious Diseases, vol. 116, pp. 241-244, 2022, ISSN: 1201-9712.
@article{FERNANDEZDELASPENAS2022241,
title = {Symptoms Experienced at the Acute Phase of SARS-CoV-2 Infection as Risk Factor of Long-term Post-COVID Symptoms: The LONG-COVID-EXP-CM Multicenter Study},
author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Oscar J. Pellicer-Valero and Esperanza Navarro-Pardo and Domingo Palacios-Ce\~{n}a and Lidiane L. Florencio and Carlos Guijarro and Jos\'{e} D. Mart\'{i}n-Guerrero},
url = {https://doi.org/10.1016/j.ijid.2022.01.007},
issn = {1201-9712},
year = {2022},
date = {2022-01-01},
journal = {International Journal of Infectious Diseases},
volume = {116},
pages = {241-244},
keywords = {},
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Miranda, E. R.; Venkatesh, S.; Martín-Guerrero, J. D.; Hernani-Morales, C.; Lamata, L.; Solano, E.
An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats Journal Article
In: International Journal Of Unconventional Computing, vol. 17, no. 3, pp. 159-171, 2022, ISSN: 1548-7199.
@article{GRECWCUAR-623321,
title = {An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats},
author = {E. R. Miranda and S. Venkatesh and J. D. Mart\'{i}n-Guerrero and C. Hernani-Morales and L. Lamata and E. Solano},
url = {http://www.oldcitypublishing.com/wp-content/uploads/2022/03/IJUCv17n3p159-171Miranda.pdf},
issn = {1548-7199},
year = {2022},
date = {2022-01-01},
journal = {International Journal Of Unconventional Computing},
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Pellicer-Valero, Óscar J.; Massaro, Giampiero A.; Casanova, Alfredo G.; Paniagua-Sancho, María; Fuentes-Calvo, Isabel; Harvat, Mykola; Martín-Guerrero, José D.; Martínez-Salgado, Carlos; López-Hernández, Francisco J.
Neural Network-Based Calculator for Rat Glomerular Filtration Rate Journal Article
In: Biomedicines, vol. 10, no. 3, 2022, ISSN: 2227-9059.
@article{biomedicines10030610,
title = {Neural Network-Based Calculator for Rat Glomerular Filtration Rate},
author = {\'{O}scar J. Pellicer-Valero and Giampiero A. Massaro and Alfredo G. Casanova and Mar\'{i}a Paniagua-Sancho and Isabel Fuentes-Calvo and Mykola Harvat and Jos\'{e} D. Mart\'{i}n-Guerrero and Carlos Mart\'{i}nez-Salgado and Francisco J. L\'{o}pez-Hern\'{a}ndez},
url = {https://www.doi.org/10.3390/biomedicines10030610},
issn = {2227-9059},
year = {2022},
date = {2022-01-01},
journal = {Biomedicines},
volume = {10},
number = {3},
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Fernández-de-las-Peñas, César; Martín-Guerrero, José D.; Pellicer-Valero, Óscar J.; Navarro-Pardo, Esperanza; Gómez-Mayordomo, Víctor; Cuadrado, María L.; Arias-Navalón, José A.; Cigarán-Méndez, Margarita; Hernández-Barrera, Valentín; Arendt-Nielsen, Lars
In: Journal of Clinical Medicine, vol. 11, no. 2, 2022, ISSN: 2077-0383.
@article{jcm11020413,
title = {Female Sex Is a Risk Factor Associated with Long-Term Post-COVID Related-Symptoms but Not with COVID-19 Symptoms: The LONG-COVID-EXP-CM Multicenter Study},
author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Jos\'{e} D. Mart\'{i}n-Guerrero and \'{O}scar J. Pellicer-Valero and Esperanza Navarro-Pardo and V\'{i}ctor G\'{o}mez-Mayordomo and Mar\'{i}a L. Cuadrado and Jos\'{e} A. Arias-Naval\'{o}n and Margarita Cigar\'{a}n-M\'{e}ndez and Valent\'{i}n Hern\'{a}ndez-Barrera and Lars Arendt-Nielsen},
url = {https://www.mdpi.com/2077-0383/11/2/413},
doi = {10.3390/jcm11020413},
issn = {2077-0383},
year = {2022},
date = {2022-01-01},
journal = {Journal of Clinical Medicine},
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Correa-Ghisays, Patricia; Sánchez-Ortí, Joan Vicent; Balanzá-Martínez, Vicent; Selva-Vera, Gabriel; Vila-Francés, Joan; Magdalena-Benedito, Rafael; Victor, Victor M.; Escribano-López, Irene; Hernández-Mijares, Antonio; Vivas-Lalinde, Juliana; San-Martín, Constanza; Crespo-Facorro, Benedicto; Tabarés-Seisdedos, Rafael
In: Journal of Affective Disorders, vol. 300, pp. 99-108, 2022, ISSN: 0165-0327.
@article{CORREAGHISAYS202299,
title = {Transdiagnostic neurocognitive deficits in patients with type 2 diabetes mellitus, major depressive disorder, bipolar disorder, and schizophrenia: A 1-year follow-up study},
author = {Patricia Correa-Ghisays and Joan Vicent S\'{a}nchez-Ort\'{i} and Vicent Balanz\'{a}-Mart\'{i}nez and Gabriel Selva-Vera and Joan Vila-Franc\'{e}s and Rafael Magdalena-Benedito and Victor M. Victor and Irene Escribano-L\'{o}pez and Antonio Hern\'{a}ndez-Mijares and Juliana Vivas-Lalinde and Constanza San-Mart\'{i}n and Benedicto Crespo-Facorro and Rafael Tabar\'{e}s-Seisdedos},
url = {https://www.sciencedirect.com/science/article/pii/S0165032721014014},
doi = {https://doi.org/10.1016/j.jad.2021.12.074},
issn = {0165-0327},
year = {2022},
date = {2022-01-01},
journal = {Journal of Affective Disorders},
volume = {300},
pages = {99-108},
abstract = {Background
Neurocognition impairments are critical factors in patients with major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ), and also in those with somatic diseases such as type 2 diabetes mellitus (T2DM). Intriguingly, these severe mental illnesses are associated with an increased co-occurrence of diabetes (direct comorbidity). This study sought to investigate the neurocognition and social functioning across T2DM, MDD, BD, and SZ using a transdiagnostic and longitudinal approach.
Methods
A total of 165 participants, including 30 with SZ, 42 with BD, 35 with MDD, 30 with T2DM, and 28 healthy controls (HC), were assessed twice at a 1-year interval using a comprehensive, integrated test battery on neuropsychological and social functioning.
Results Common neurocognitive impairments in somatic and psychiatric disorders were identified, including deficits in short-term memory and cognitive reserve (p < 0.01, η²p=0.08\textendash0.31). Social functioning impairments were observed in almost all the disorders (p < 0.0001; η²p=0.29\textendash0.49). Transdiagnostic deficits remained stable across the 1-year follow-up (p < 0.001; η²p=0.13\textendash0.43) and could accurately differentiate individuals with somatic and psychiatric disorders (χ² = 48.0, p < 0.0001).
Limitations
The initial sample size was small, and high experimental mortality was observed after follow-up for one year.
Conclusions
This longitudinal study provides evidence of some possible overlap in neurocognition deficits across somatic and psychiatric diagnostic categories, such as T2DM, MDD, BD, and SZ, which have high comorbidity. This overlap may be a result of shared genetic and environmental etiological factors. The findings open promising avenues for research on transdiagnostic phenotypes of neurocognition in these disorders, in addition to their biological bases.},
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pubstate = {published},
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Neurocognition impairments are critical factors in patients with major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ), and also in those with somatic diseases such as type 2 diabetes mellitus (T2DM). Intriguingly, these severe mental illnesses are associated with an increased co-occurrence of diabetes (direct comorbidity). This study sought to investigate the neurocognition and social functioning across T2DM, MDD, BD, and SZ using a transdiagnostic and longitudinal approach.
Methods
A total of 165 participants, including 30 with SZ, 42 with BD, 35 with MDD, 30 with T2DM, and 28 healthy controls (HC), were assessed twice at a 1-year interval using a comprehensive, integrated test battery on neuropsychological and social functioning.
Results Common neurocognitive impairments in somatic and psychiatric disorders were identified, including deficits in short-term memory and cognitive reserve (p < 0.01, η²p=0.08–0.31). Social functioning impairments were observed in almost all the disorders (p < 0.0001; η²p=0.29–0.49). Transdiagnostic deficits remained stable across the 1-year follow-up (p < 0.001; η²p=0.13–0.43) and could accurately differentiate individuals with somatic and psychiatric disorders (χ² = 48.0, p < 0.0001).
Limitations
The initial sample size was small, and high experimental mortality was observed after follow-up for one year.
Conclusions
This longitudinal study provides evidence of some possible overlap in neurocognition deficits across somatic and psychiatric diagnostic categories, such as T2DM, MDD, BD, and SZ, which have high comorbidity. This overlap may be a result of shared genetic and environmental etiological factors. The findings open promising avenues for research on transdiagnostic phenotypes of neurocognition in these disorders, in addition to their biological bases.
Vellido, Alfredo; Lisboa, Paulo J. G.; Martín, José D.
The Need for Interpretable and Explainable Deep Learning in Medicine and Healthcare Incollection
In: Bacciu, Paulo J. G. Lisboa Davide; Vellido, Alfredo (Ed.): Deep Learning in Biology and Medicine, pp. 247-264, World Scientific (Europe), 2022.
@incollection{bkch:lisboa2022,
title = {The Need for Interpretable and Explainable Deep Learning in Medicine and Healthcare},
author = {Alfredo Vellido and Paulo J. G. Lisboa and Jos\'{e} D. Mart\'{i}n},
editor = {Paulo J. G. Lisboa Davide Bacciu and Alfredo Vellido},
url = {https://doi.org/10.1142/q0322},
year = {2022},
date = {2022-01-01},
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Martín-Guerrero, José D.; Lamata, Lucas
Quantum Machine Learning: A tutorial Journal Article
In: Neurocomputing, vol. 470, pp. 457-461, 2022, ISSN: 0925-2312.
@article{MARTINGUERRERO2022457,
title = {Quantum Machine Learning: A tutorial},
author = {Jos\'{e} D. Mart\'{i}n-Guerrero and Lucas Lamata},
url = {https://doi.org/10.1016/j.neucom.2021.02.102},
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date = {2022-01-01},
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Wang, Rui; Hernani-Morales, Carlos; Martín-Guerrero, José D; Solano, Enrique; Albarrán-Arriagada, Francisco
Quantum pattern recognition in photonic circuits Journal Article
In: Quantum Science and Technology, vol. 7, no. 1, pp. 015010, 2022.
@article{Wang_2022,
title = {Quantum pattern recognition in photonic circuits},
author = {Rui Wang and Carlos Hernani-Morales and Jos\'{e} D Mart\'{i}n-Guerrero and Enrique Solano and Francisco Albarr\'{a}n-Arriagada},
url = {https://doi.org/10.1088/2058-9565/ac3460},
doi = {10.1088/2058-9565/ac3460},
year = {2022},
date = {2022-01-01},
journal = {Quantum Science and Technology},
volume = {7},
number = {1},
pages = {015010},
publisher = {IOP Publishing},
keywords = {},
pubstate = {published},
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2021
Fernández-de-las-Peñas, César; Martín-Guerrero, José D.; Navarro-Pardo, Esperanza; Torres-Macho, Juan; Canto-Diez, MªGabriela; Pellicer-Valero, Oscar
Gastrointestinal symptoms at the acute COVID-19 phase are risk factors for developing gastrointestinal post-COVID symptoms: a multicenter study Journal Article
In: Internal and Emergency Medicine, 2021, ISBN: 1970-9366.
@article{nokey,
title = {Gastrointestinal symptoms at the acute COVID-19 phase are risk factors for developing gastrointestinal post-COVID symptoms: a multicenter study},
author = {Fern\'{a}ndez-de-las-Pe\~{n}as, C\'{e}sar and Mart\'{i}n-Guerrero, Jos\'{e} D. and Navarro-Pardo, Esperanza and Torres-Macho, Juan and Canto-Diez, MªGabriela and Pellicer-Valero, Oscar},
url = {https://doi.org/10.1007/s11739-021-02850-5},
doi = {10.1007/s11739-021-02850-5},
isbn = {1970-9366},
year = {2021},
date = {2021-10-12},
journal = {Internal and Emergency Medicine},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Fernández-de-las-Peñas, César; Martín-Guerrero, José D.; Navarro-Pardo, Esperanza; Fuensalida-Novo, Stella; Palacios-Ceña, María; Velasco-Arribas, María; Pellicer-Valero, Oscar J.
The presence of rheumatological conditions is not a risk factor of long-term post-COVID symptoms after SARS-CoV-2 infection: a multicenter study Journal Article
In: Clinical Rheumatology, 2021, ISBN: 1434-9949.
@article{reuma2021,
title = {The presence of rheumatological conditions is not a risk factor of long-term post-COVID symptoms after SARS-CoV-2 infection: a multicenter study},
author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Jos\'{e} D. Mart\'{i}n-Guerrero and Esperanza Navarro-Pardo and Stella Fuensalida-Novo and Mar\'{i}a Palacios-Ce\~{n}a and Mar\'{i}a Velasco-Arribas and Oscar J. Pellicer-Valero},
url = {https://doi.org/10.1007/s10067-021-05935-w},
doi = {10.1007/s10067-021-05935-w},
isbn = {1434-9949},
year = {2021},
date = {2021-09-25},
urldate = {2021-09-25},
journal = {Clinical Rheumatology},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ding, Yongcheng; Ban, Yue; Martín-Guerrero, José D; Solano, Enrique; Casanova, Jorge; Chen, Xi
Breaking adiabatic quantum control with deep learning Journal Article
In: Phys. Rev. A, vol. 103, pp. L040401, 2021.
@article{PhysRevA.103.L040401,
title = {Breaking adiabatic quantum control with deep learning},
author = {Yongcheng Ding and Yue Ban and Jos\'{e} D Mart\'{i}n-Guerrero and Enrique Solano and Jorge Casanova and Xi Chen},
url = {https://link.aps.org/doi/10.1103/PhysRevA.103.L040401},
doi = {10.1103/PhysRevA.103.L040401},
year = {2021},
date = {2021-04-01},
journal = {Phys. Rev. A},
volume = {103},
pages = {L040401},
publisher = {American Physical Society},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Martin, Ana; Candelas, Bruno; Rodríguez-Rozas, Ángel; Martín-Guerrero, José D; Chen, Xi; Lamata, Lucas; Orús, Román; Solano, Enrique; Sanz, Mikel
Toward pricing financial derivatives with an IBM quantum computer Journal Article
In: Phys. Rev. Research, vol. 3, pp. 013167, 2021.
@article{PhysRevResearch.3.013167,
title = {Toward pricing financial derivatives with an IBM quantum computer},
author = {Ana Martin and Bruno Candelas and \'{A}ngel Rodr\'{i}guez-Rozas and Jos\'{e} D Mart\'{i}n-Guerrero and Xi Chen and Lucas Lamata and Rom\'{a}n Or\'{u}s and Enrique Solano and Mikel Sanz},
url = {https://doi.org/10.1103/PhysRevResearch.3.013167},
doi = {10.1103/PhysRevResearch.3.013167},
year = {2021},
date = {2021-02-01},
journal = {Phys. Rev. Research},
volume = {3},
pages = {013167},
publisher = {American Physical Society},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Casaña-Eslava, Raúl V; Jarman, Ian H; Ortega-Martorell, Sandra; Lisboa, Paulo J G; Martín-Guerrero, José D.
Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering Journal Article
In: Neural Computing and Applications, vol. 33, no. 13, pp. 7521–7539, 2021, ISBN: 1433-3058.
@article{casa-music,
title = {Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering},
author = {Ra\'{u}l V Casa\~{n}a-Eslava and Ian H Jarman and Sandra Ortega-Martorell and Paulo J G Lisboa and Jos\'{e} D. Mart\'{i}n-Guerrero},
url = {https://doi.org/10.1007/s00521-020-05499-x},
doi = {10.1007/s00521-020-05499-x},
isbn = {1433-3058},
year = {2021},
date = {2021-01-01},
journal = {Neural Computing and Applications},
volume = {33},
number = {13},
pages = {7521--7539},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pellicer-Valero, Oscar J; Gonzalez-Perez, Victor; Ramón-Borja, Juan Luis Casanova; García, Isabel Martín; Benito, María Barrios; Gómez, Paula Pelechano; Rubio-Briones, José; Rupérez, María José; Martín-Guerrero, José D
Robust Resolution-Enhanced Prostate Segmentation in Magnetic Resonance and Ultrasound Images through Convolutional Neural Networks Journal Article
In: Applied Sciences, vol. 11, no. 2, 2021, ISSN: 2076-3417.
@article{app11020844,
title = {Robust Resolution-Enhanced Prostate Segmentation in Magnetic Resonance and Ultrasound Images through Convolutional Neural Networks},
author = {Oscar J Pellicer-Valero and Victor Gonzalez-Perez and Juan Luis Casanova Ram\'{o}n-Borja and Isabel Mart\'{i}n Garc\'{i}a and Mar\'{i}a Barrios Benito and Paula Pelechano G\'{o}mez and Jos\'{e} Rubio-Briones and Mar\'{i}a Jos\'{e} Rup\'{e}rez and Jos\'{e} D Mart\'{i}n-Guerrero},
url = {https://www.mdpi.com/2076-3417/11/2/844},
doi = {10.3390/app11020844},
issn = {2076-3417},
year = {2021},
date = {2021-01-01},
journal = {Applied Sciences},
volume = {11},
number = {2},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ai, Ming-Zhong; Ding, Yongcheng; Ban, Yue; Martín-Guerrero, José D; Casanova, Jorge; Cui, Jin-Ming; Huang, Yun-Feng; Chen, Xi; Li, Chuan-Feng; Guo, Guang-Can
Experimentally Realizing Efficient Quantum Control with Reinforcement Learning Miscellaneous
2021.
@misc{ai2021experimentally,
title = {Experimentally Realizing Efficient Quantum Control with Reinforcement Learning},
author = {Ming-Zhong Ai and Yongcheng Ding and Yue Ban and Jos\'{e} D Mart\'{i}n-Guerrero and Jorge Casanova and Jin-Ming Cui and Yun-Feng Huang and Xi Chen and Chuan-Feng Li and Guang-Can Guo},
url = {https://arxiv.org/abs/2101.09020},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Munera, Sandra; Gómez-Sanchís, Juan; Aleixos, Nuria; Vila-Francés, Joan; Colelli, Giancarlo; Cubero, Sergio; Soler, Esteban; Blasco, José
Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques Journal Article
In: Postharvest Biology and Technology, vol. 171, pp. 111356, 2021, ISSN: 0925-5214.
@article{MUNERA2021111356,
title = {Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques},
author = {Sandra Munera and Juan G\'{o}mez-Sanch\'{i}s and Nuria Aleixos and Joan Vila-Franc\'{e}s and Giancarlo Colelli and Sergio Cubero and Esteban Soler and Jos\'{e} Blasco},
url = {https://www.sciencedirect.com/science/article/pii/S0925521420309285},
doi = {https://doi.org/10.1016/j.postharvbio.2020.111356},
issn = {0925-5214},
year = {2021},
date = {2021-01-01},
journal = {Postharvest Biology and Technology},
volume = {171},
pages = {111356},
abstract = {Loquat (Eriobotrya japonica L.) is an important fruit for the economy of some regions of Spain that is very susceptible to mechanical damage and physiological disorders. These problems depreciate its value and prevent it from being exported. Visible (VIS) and near infrared (NIR) hyperspectral imaging was used to discriminate between external and internal common defects of loquat cv. ‘Algerie’. Two classifiers, random forest (RF) and extreme gradient boost (XGBoost), and different spectral pre-processing techniques were evaluated in terms of their capacity to distinguish between sound and defective features according to three approaches. In the first approach the fruit pixels were classified into two classes, sound or defect, with a 97.5% rate of success; in the second the defective features were considered internal or external defects, achieving a 96.7% rate of success; and in the third approach each type of defect, i.e. purple spot, bruising, scars and flesh browning, were considered separately with a correct classification rate of 95.9%. The results indicated that the XGBoost classifier was the best method in all cases.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pellicer-Valero, Oscar J; Jiménez, José Marenco L; Gonzalez-Perez, Victor; Ramón-Borja, Juan Luis Casanova; García, Isabel Martín; Benito, María Barrios; Gómez, Paula Pelechano; Rubio-Briones, José; Rupérez, María José; Martín-Guerrero, José D
2021.
@misc{pellicervalero2021deep,
title = {Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images},
author = {Oscar J Pellicer-Valero and Jos\'{e} Marenco L Jim\'{e}nez and Victor Gonzalez-Perez and Juan Luis Casanova Ram\'{o}n-Borja and Isabel Mart\'{i}n Garc\'{i}a and Mar\'{i}a Barrios Benito and Paula Pelechano G\'{o}mez and Jos\'{e} Rubio-Briones and Mar\'{i}a Jos\'{e} Rup\'{e}rez and Jos\'{e} D Mart\'{i}n-Guerrero},
url = {https://arxiv.org/abs/2103.12650},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Mateo, Fernando; Garcés-Iniesta, Juan José; Jenninger, Berthold; Gómez-Sanchís, Juan; Soria-Olivas, Emilio; Chiggiato, Paolo
Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification Journal Article
In: Expert Systems with Applications, vol. 178, pp. 114959, 2021, ISSN: 0957-4174.
@article{MATEO2021114959,
title = {Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification},
author = {Fernando Mateo and Juan Jos\'{e} Garc\'{e}s-Iniesta and Berthold Jenninger and Juan G\'{o}mez-Sanch\'{i}s and Emilio Soria-Olivas and Paolo Chiggiato},
url = {https://www.sciencedirect.com/science/article/pii/S0957417421004000},
doi = {https://doi.org/10.1016/j.eswa.2021.114959},
issn = {0957-4174},
year = {2021},
date = {2021-01-01},
journal = {Expert Systems with Applications},
volume = {178},
pages = {114959},
abstract = {In Ultra High-Vacuum (UHV) systems it is common to find a mixture of many gases originating from surface outgassing, leaks and permeation that contaminate vacuum chambers and cause issues to reach ultimate pressures. The identification of these contaminants is, in general, done manually by trained technicians from the analysis of mass spectra. This task is time consuming and can lead to misinterpretation or partial understanding of issues. The challenge resides in the rapid identification of these contaminants by using some automatic gas identification technique. This paper explores the automatic and simultaneous identification of 80 molecules, including some of the most commonly present in this kind of environment by means of multilabel classification techniques. The best performance is drawn from a dependent binary relevance method trained by extreme gradient boosting. We obtain a Hamming loss of 0.0145 in the test set. The mean binary AUC for the test set was 0.986, and the minimum test AUC was higher than 0.89. A public interactive web app has been developed to allow vacuum users to test the model with their own data.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pellicer-Valero, Oscar J; Martín-Guerrero, José D; Fernández-de-las-Peñas, César; De-la-Llave-Rincón, Ana I; Rodríguez-Jiménez, Jorge; Navarro-Pardo, Esperanza; Cigarán-Méndez, Margarita I
Spectral Clustering Reveals Different Profiles of Central Sensitization in Women with Carpal Tunnel Syndrome Journal Article
In: Symmetry, vol. 13, no. 6, 2021, ISSN: 2073-8994.
@article{sym13061042,
title = {Spectral Clustering Reveals Different Profiles of Central Sensitization in Women with Carpal Tunnel Syndrome},
author = {Oscar J Pellicer-Valero and Jos\'{e} D Mart\'{i}n-Guerrero and C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Ana I De-la-Llave-Rinc\'{o}n and Jorge Rodr\'{i}guez-Jim\'{e}nez and Esperanza Navarro-Pardo and Margarita I Cigar\'{a}n-M\'{e}ndez},
url = {https://www.mdpi.com/2073-8994/13/6/1042},
doi = {10.3390/sym13061042},
issn = {2073-8994},
year = {2021},
date = {2021-01-01},
journal = {Symmetry},
volume = {13},
number = {6},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Miranda, E R; Venkatesh, S; Hernani-Morales, C; Lamata, L; Martín-Guerrero, J D; Solano, E
Quantum Brain Networks: a Perspective Miscellaneous
2021.
@misc{miranda2021quantum,
title = {Quantum Brain Networks: a Perspective},
author = {E R Miranda and S Venkatesh and C Hernani-Morales and L Lamata and J D Mart\'{i}n-Guerrero and E Solano},
url = {https://arxiv.org/abs/2106.12295},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Luperdi, Sussy C; Correa-Ghisays, Patricia; Vila-Francés, Joan; Selva-Vera, Gabriel; Salazar-Fraile, José; Cardoner, Narcís; Ruiz-Veguilla, Miguel; Livianos, Lorenzo; Tabarés-Seisdedos, Rafael; Balanzá-Martínez, Vicent
Is processing speed a valid neurocognitive endophenotype in bipolar disorder? Evidence from a longitudinal, family study Journal Article
In: Journal of Psychiatric Research, vol. 141, pp. 241-247, 2021, ISSN: 0022-3956.
@article{LUPERDI2021241,
title = {Is processing speed a valid neurocognitive endophenotype in bipolar disorder? Evidence from a longitudinal, family study},
author = {Sussy C Luperdi and Patricia Correa-Ghisays and Joan Vila-Franc\'{e}s and Gabriel Selva-Vera and Jos\'{e} Salazar-Fraile and Narc\'{i}s Cardoner and Miguel Ruiz-Veguilla and Lorenzo Livianos and Rafael Tabar\'{e}s-Seisdedos and Vicent Balanz\'{a}-Mart\'{i}nez},
url = {https://www.sciencedirect.com/science/article/pii/S002239562100426X},
doi = {https://doi.org/10.1016/j.jpsychires.2021.07.008},
issn = {0022-3956},
year = {2021},
date = {2021-01-01},
journal = {Journal of Psychiatric Research},
volume = {141},
pages = {241-247},
abstract = {Background
Substantial evidence supports the existence of neurocognitive endophenotypes in bipolar disorder (BD), but very few longitudinal studies have included unaffected relatives. In a 5-year, follow-up, family study, we have recently suggested that deficits in manual motor speed and visual memory could be endophenotype candidates for BD. We aimed to explore whether this also applies to processing speed.
Methods
A sample of 348 individuals, including 163 BD patients, 65 unaffected first-degree relatives (BD-Rel) and 120 genetically unrelated healthy controls (HC), was assessed with the Digit Symbol Substitution Test (DSST) on two occasions over a 2-year period (T1, T2). DSST values were controlled for age, years of education, occupational status, and subsyndromic mood symptoms. Differences between groups were evaluated with ANCOVAs.
Results At T1 BD performed significantly worse than HC (p < 0.001; Cohen's d = 1.38) and BD-Rel (p < 0.001; Cohen's d = 0.82). BD-Rel showed an intermediate performance with significant differences with HC (p < 0.01; Cohen's d = 0.50). Similarly, at T2 BD performed significantly worse than HC (p < 0.001; Cohen's d = 1.44) and BD-Rel (p < 0.01; Cohen's d = 0.51). BD-Rel performance was intermediate and significantly lower than that of HC (p < 0.01; Cohen's d = 0.97). A Repeated Measures ANOVA revealed no significant between-group differences in performance over time (p > 0.05).
Conclusions
The results of this longitudinal, family study suggest that impaired processing speed may represent a suitable cognitive endophenotype for BD. Further research on the field is required to confirm these preliminary findings.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Substantial evidence supports the existence of neurocognitive endophenotypes in bipolar disorder (BD), but very few longitudinal studies have included unaffected relatives. In a 5-year, follow-up, family study, we have recently suggested that deficits in manual motor speed and visual memory could be endophenotype candidates for BD. We aimed to explore whether this also applies to processing speed.
Methods
A sample of 348 individuals, including 163 BD patients, 65 unaffected first-degree relatives (BD-Rel) and 120 genetically unrelated healthy controls (HC), was assessed with the Digit Symbol Substitution Test (DSST) on two occasions over a 2-year period (T1, T2). DSST values were controlled for age, years of education, occupational status, and subsyndromic mood symptoms. Differences between groups were evaluated with ANCOVAs.
Results At T1 BD performed significantly worse than HC (p < 0.001; Cohen's d = 1.38) and BD-Rel (p < 0.001; Cohen's d = 0.82). BD-Rel showed an intermediate performance with significant differences with HC (p < 0.01; Cohen's d = 0.50). Similarly, at T2 BD performed significantly worse than HC (p < 0.001; Cohen's d = 1.44) and BD-Rel (p < 0.01; Cohen's d = 0.51). BD-Rel performance was intermediate and significantly lower than that of HC (p < 0.01; Cohen's d = 0.97). A Repeated Measures ANOVA revealed no significant between-group differences in performance over time (p > 0.05).
Conclusions
The results of this longitudinal, family study suggest that impaired processing speed may represent a suitable cognitive endophenotype for BD. Further research on the field is required to confirm these preliminary findings.
Wang, Rui; Hernani-Morales, Carlos; Martín-Guerrero, José D; Solano, Enrique; Albarrán-Arriagada, Francisco
Quantum Pattern Recognition in Photonic Circuits Miscellaneous
2021.
@misc{wang2021quantum,
title = {Quantum Pattern Recognition in Photonic Circuits},
author = {Rui Wang and Carlos Hernani-Morales and Jos\'{e} D Mart\'{i}n-Guerrero and Enrique Solano and Francisco Albarr\'{a}n-Arriagada},
url = {https://arxiv.org/abs/2107.09961},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Casanova, Alfredo G; Harvat, Mykola; Vicente-Vicente, Laura; Pellicer-Valero, Óscar J; Morales, Ana I; López-Hernández, Francisco J; Martín-Guerrero, José D
Regression Modeling of the Antioxidant-to-Nephroprotective Relation Shows the Pivotal Role of Oxidative Stress in Cisplatin Nephrotoxicity Journal Article
In: Antioxidants, vol. 10, no. 9, 2021, ISSN: 2076-3921.
@article{antiox10091355,
title = {Regression Modeling of the Antioxidant-to-Nephroprotective Relation Shows the Pivotal Role of Oxidative Stress in Cisplatin Nephrotoxicity},
author = {Alfredo G Casanova and Mykola Harvat and Laura Vicente-Vicente and \'{O}scar J Pellicer-Valero and Ana I Morales and Francisco J L\'{o}pez-Hern\'{a}ndez and Jos\'{e} D Mart\'{i}n-Guerrero},
url = {https://doi.org/10.3390/antiox10091355},
doi = {10.3390/antiox10091355},
issn = {2076-3921},
year = {2021},
date = {2021-01-01},
journal = {Antioxidants},
volume = {10},
number = {9},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ding, Yongcheng; Martín-Guerrero, José D; Song, Yujing; Magdalena-Benedito, Rafael; Chen, Xi
Active Learning for the Optimal Design of Multinomial Classification in Physics Miscellaneous
2021.
@misc{ding2021active,
title = {Active Learning for the Optimal Design of Multinomial Classification in Physics},
author = {Yongcheng Ding and Jos\'{e} D Mart\'{i}n-Guerrero and Yujing Song and Rafael Magdalena-Benedito and Xi Chen},
url = {https://arxiv.org/abs/2109.08612},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Martín-Guerrero, José D; Lamata, Lucas
Reinforcement Learning and Physics Journal Article
In: Applied Sciences, vol. 11, no. 18, 2021, ISSN: 2076-3417.
@article{app11188589,
title = {Reinforcement Learning and Physics},
author = {Jos\'{e} D Mart\'{i}n-Guerrero and Lucas Lamata},
url = {https://www.mdpi.com/2076-3417/11/18/8589},
doi = {10.3390/app11188589},
issn = {2076-3417},
year = {2021},
date = {2021-01-01},
journal = {Applied Sciences},
volume = {11},
number = {18},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Flores-Garrigós, Carlos; Vicent-Camisón, Juan; Garcés-Iniesta, Juan J.; Soria-Olivas, Emilio; Gómez-Sanchís, Juan; Mateo, Fernando
Reconstruction of Ultra-High Vacuum Mass Spectra Using Genetic Algorithms Journal Article
In: Applied Sciences, vol. 11, no. 24, 2021, ISSN: 2076-3417.
@article{app112411754,
title = {Reconstruction of Ultra-High Vacuum Mass Spectra Using Genetic Algorithms},
author = {Carlos Flores-Garrig\'{o}s and Juan Vicent-Camis\'{o}n and Juan J. Garc\'{e}s-Iniesta and Emilio Soria-Olivas and Juan G\'{o}mez-Sanch\'{i}s and Fernando Mateo},
url = {https://www.mdpi.com/2076-3417/11/24/11754},
doi = {10.3390/app112411754},
issn = {2076-3417},
year = {2021},
date = {2021-01-01},
journal = {Applied Sciences},
volume = {11},
number = {24},
abstract = {In ultra-high vacuum systems, obtaining the composition of a mass spectrum is often a challenging task due to the highly overlapping nature of the individual profiles of the gas species that contribute to that spectrum, as well as the high differences in terms of degree of contribution (several orders of magnitude). This problem is even more complex when not only the presence but also a quantitative estimation of the contribution (partial pressure) of each species is required. This paper aims at estimating the relative contribution of each species in a target mass spectrum by combining a state-of-the-art machine learning method (multilabel classifier) to obtain a pool of candidate species based on a threshold applied to the probability scores given by the classifier with a genetic algorithm that aims at finding the partial pressure at which each one of the species contributes to the target mass spectrum. For this purpose, we use a dataset of synthetically generated samples. We explore different acceptance thresholds for the generation of initial populations, and we establish comparative metrics against the most novel method to date for automatically obtaining partial pressure contributions. Our results show a clear advantage in terms of the integral error metric (up to 112 times lower for simpler spectra) and computational times (up to 4 times lower for complex spectra) in favor of the proposed method, which is considered a substantial improvement for this task.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
M, Miragall; JJ, Garcés; RM, Baños
Exploring the Heterogeneity and Trajectories of Positive Functioning Variables, Emotional Distress, and Post-traumatic Growth During Strict Confinement Due to COVID-19 Journal Article
In: J Happiness Stud, pp. 21-26, 2021.
@article{article_rosa,
title = {Exploring the Heterogeneity and Trajectories of Positive Functioning Variables, Emotional Distress, and Post-traumatic Growth During Strict Confinement Due to COVID-19},
author = {Miragall M and Garc\'{e}s JJ and Ba\~{n}os RM},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {J Happiness Stud},
pages = {21-26},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ding, Yongcheng; Chen, Xi; Magdalena-Benedicto, Rafael; Martín-Guerrero, José D.
Quantum Stream Learning Miscellaneous
2021.
@misc{ding2021quantum,
title = {Quantum Stream Learning},
author = {Yongcheng Ding and Xi Chen and Rafael Magdalena-Benedicto and Jos\'{e} D. Mart\'{i}n-Guerrero},
url = {https://arxiv.org/abs/2112.06628},
year = {2021},
date = {2021-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Barbieri, Carlo; Neri, Luca; Chermisi, Milena; Bolzoni, Elena; Cattinelli, Isabella; Decker, Wolfgang; Stuard, Stefano; Martín-Guerrero, José D.; Mari, Flavio
In: Expert Review of Medical Devices, vol. 18, no. 11, pp. 1117-1121, 2021, (PMID: 34612120).
@article{barbieri2021,
title = {How to assess the risks associated with the usage of a medical device based on predictive modeling: the case of an anemia control model certified as medical device},
author = {Carlo Barbieri and Luca Neri and Milena Chermisi and Elena Bolzoni and Isabella Cattinelli and Wolfgang Decker and Stefano Stuard and Jos\'{e} D. Mart\'{i}n-Guerrero and Flavio Mari},
url = {https://doi.org/10.1080/17434440.2021.1990037},
doi = {10.1080/17434440.2021.1990037},
year = {2021},
date = {2021-01-01},
journal = {Expert Review of Medical Devices},
volume = {18},
number = {11},
pages = {1117-1121},
publisher = {Taylor \& Francis},
note = {PMID: 34612120},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Grande-Fidalgo, Alejandro; Calpe, Javier; Redón, Mónica; Millán-Navarro, Carlos; Soria-Olivas, Emilio
Lead Reconstruction Using Artificial Neural Networks for Ambulatory ECG Acquisition Journal Article
In: Sensors, vol. 21, no. 16, 2021, ISSN: 1424-8220.
@article{s21165542,
title = {Lead Reconstruction Using Artificial Neural Networks for Ambulatory ECG Acquisition},
author = {Alejandro Grande-Fidalgo and Javier Calpe and M\'{o}nica Red\'{o}n and Carlos Mill\'{a}n-Navarro and Emilio Soria-Olivas},
url = {https://www.mdpi.com/1424-8220/21/16/5542},
doi = {10.3390/s21165542},
issn = {1424-8220},
year = {2021},
date = {2021-01-01},
journal = {Sensors},
volume = {21},
number = {16},
abstract = {One of the most powerful techniques to diagnose cardiovascular diseases is to analyze the electrocardiogram (ECG). To increase diagnostic sensitivity, the ECG might need to be acquired using an ambulatory system, as symptoms may occur during a patient's daily life. In this paper, we propose using an ambulatory ECG (aECG) recording device with a low number of leads and then estimating the views that would have been obtained with a standard ECG location, reconstructing the complete Standard 12-Lead System, the most widely used system for diagnosis by cardiologists. Four approaches have been explored, including Linear Regression with ECG segmentation and Artificial Neural Networks (ANN). The best reconstruction algorithm is based on ANN, which reconstructs the actual ECG signal with high precision, as the results bring a high accuracy (RMS Error < 13 μV and CC > 99.7%) for the set of patients analyzed in this paper. This study supports the hypothesis that it is possible to reconstruct the Standard 12-Lead System using an aECG recording device with less leads.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Selvi, Jose; Rodríguez, Ricardo J.; Soria-Olivas, Emilio
Toward Optimal LSTM Neural Networks for Detecting Algorithmically Generated Domain Names Journal Article
In: IEEE Access, vol. 9, pp. 126446-126456, 2021.
@article{9531932,
title = {Toward Optimal LSTM Neural Networks for Detecting Algorithmically Generated Domain Names},
author = {Jose Selvi and Ricardo J. Rodr\'{i}guez and Emilio Soria-Olivas},
doi = {10.1109/ACCESS.2021.3111307},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {IEEE Access},
volume = {9},
pages = {126446-126456},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Solano, Alberto; Fayos, Ivan; na, Alberto Urue; Mart'inez-Sober, Marcelino; Mateo, Fernando; Soria-Olivas, Emilio
Analysis of the Pre and Post-COVID-19 Lockdown Use of Smartphone Apps in Spain Journal Article
In: Applied Sciences, vol. 11, no. 13, 2021, ISSN: 2076-3417.
@article{app11135807,
title = {Analysis of the Pre and Post-COVID-19 Lockdown Use of Smartphone Apps in Spain},
author = {Alberto Solano and Ivan Fayos and Alberto Urue na and Marcelino Mart'inez-Sober and Fernando Mateo and Emilio Soria-Olivas},
url = {https://www.mdpi.com/2076-3417/11/13/5807},
doi = {10.3390/app11135807},
issn = {2076-3417},
year = {2021},
date = {2021-01-01},
journal = {Applied Sciences},
volume = {11},
number = {13},
abstract = {The global pandemic of COVID-19 has changed our daily habits and has undoubtedly affected our smartphone usage time. This paper attempts to characterize the changes in the time of use of smartphones and their applications between the pre-lockdown and post-lockdown periods in Spain, during the first COVID-19 confinement in 2020. This study analyzes data from 1940 participants, which was obtained both from a survey and from a tracking application installed on their smartphones. We propose manifold learning techniques such as clustering, to assess, both in a quantitative and in a qualitative way, the behavioral and social effects and implications of confinement in the Spanish population. We also determine the Big Five personality traits along with addiction, Social Digital Pressure and depression indicators for every group determined by the clustering.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Fernández-de-las-Peñas, César; Pellicer-Valero, Oscar J; Navarro-Pardo, Esperanza; Rodríguez-Jiménez, Jorge; Martín-Guerrero, José D; Cigarán-Méndez, Margarita
The number of symptoms at the acute COVID-19 phase is associated with anxiety and depressive long-term post-COVID symptoms: A multicenter study Journal Article
In: Journal of Psychosomatic Research, vol. 150, pp. 110625, 2021, ISSN: 0022-3999.
@article{FERNANDEZDELASPENAS2021110625,
title = {The number of symptoms at the acute COVID-19 phase is associated with anxiety and depressive long-term post-COVID symptoms: A multicenter study},
author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Oscar J Pellicer-Valero and Esperanza Navarro-Pardo and Jorge Rodr\'{i}guez-Jim\'{e}nez and Jos\'{e} D Mart\'{i}n-Guerrero and Margarita Cigar\'{a}n-M\'{e}ndez},
url = {https://doi.org/10.1016/j.jpsychores.2021.110625},
doi = {https://doi.org/10.1016/j.jpsychores.2021.110625},
issn = {0022-3999},
year = {2021},
date = {2021-01-01},
journal = {Journal of Psychosomatic Research},
volume = {150},
pages = {110625},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2020
Mohmara, Yasser Alakhdar; Cook, Jill; Benítez-Martínez, Josep C.; McPeek, Emily R.; Aguilar, Antonio Alberola; Olivas, Emilio Soria; Hernandez-Sanchez, Sergio
Influence of genetic factors in elbow tendon pathology: a case-control study Journal Article
In: Scientific Reports, vol. 10, no. 1, pp. 6503, 2020, ISBN: 2045-2322.
@article{Alakhdar-Mohmara:2020qf,
title = {Influence of genetic factors in elbow tendon pathology: a case-control study},
author = {Yasser Alakhdar Mohmara and Jill Cook and Josep C. Ben\'{i}tez-Mart\'{i}nez and Emily R. McPeek and Antonio Alberola Aguilar and Emilio Soria Olivas and Sergio Hernandez-Sanchez},
url = {https://doi.org/10.1038/s41598-020-63030-7},
doi = {10.1038/s41598-020-63030-7},
isbn = {2045-2322},
year = {2020},
date = {2020-04-16},
urldate = {2020-04-16},
journal = {Scientific Reports},
volume = {10},
number = {1},
pages = {6503},
abstract = {Elbow tendinopathy is a common pathology of the upper extremity that impacts both athletes and workers. Some research has examined the genetic component as a risk factor for tendinopathy, mainly in the lower limbs. A case-control study was designed to test for a relationship between certain collagen gene single nucleotide polymorphisms (SNPs) and elbow tendon pathology. A sample of 137 young adult athletes whose sports participation involves loading of the upper limb were examined for the presence of structural abnormalities indicative of pathology in the tendons of the lateral and medial elbow using ultrasound imaging and genotyped for the following SNPs: COL5A1 rs12722, COL11A1 rs3753841, COL11A1 rs1676486, and COL11A2 rs1799907. Anthropometric measurements and data on participants\'{e}lbow pain and dysfunction were collected using the Disabilities of the Arm, Shoulder and Hand and the Mayo Clinic Performance Index for the Elbow questionnaires. Results showed that participants in the structural abnormality group had significantly higher scores in pain and dysfunction. A significant relationship between COL11A1 rs3753841 genotype and elbow tendon pathology was found (p = 0.024), with the CT variant associated with increased risk of pathology.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ding, Yongcheng; Martín-Guerrero, José D; Sanz, Mikel; Magdalena-Benedicto, Rafael; Chen, Xi; Solano, Enrique
Retrieving Quantum Information with Active Learning Journal Article
In: Phys. Rev. Lett., vol. 124, pp. 140504, 2020.
@article{PhysRevLett.124.140504,
title = {Retrieving Quantum Information with Active Learning},
author = {Yongcheng Ding and Jos\'{e} D Mart\'{i}n-Guerrero and Mikel Sanz and Rafael Magdalena-Benedicto and Xi Chen and Enrique Solano},
url = {https://link.aps.org/doi/10.1103/PhysRevLett.124.140504},
doi = {10.1103/PhysRevLett.124.140504},
year = {2020},
date = {2020-04-01},
journal = {Phys. Rev. Lett.},
volume = {124},
pages = {140504},
publisher = {American Physical Society},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pellicer-Valero, Oscar J; Martín-Guerrero, José D; Cigarán-Méndez, Margarita I; Écija-Gallardo, Carmen; Fernández-de-las-Peñas, César; Navarro-Pardo, Esperanza
Mathematical Modeling for Neuropathic Pain: Bayesian Linear Regression and Self-Organizing Maps Applied to Carpal Tunnel Syndrome Journal Article
In: Symmetry-Basel, vol. 12, no. 10 (1581), pp. 1-15, 2020, ISSN: 2073-8994.
@article{GRECWCUAR-002764,
title = {Mathematical Modeling for Neuropathic Pain: Bayesian Linear Regression and Self-Organizing Maps Applied to Carpal Tunnel Syndrome},
author = {Oscar J Pellicer-Valero and Jos\'{e} D Mart\'{i}n-Guerrero and Margarita I Cigar\'{a}n-M\'{e}ndez and Carmen \'{E}cija-Gallardo and C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Esperanza Navarro-Pardo},
url = {https://doi.org/10.3390/sym12101581},
issn = {2073-8994},
year = {2020},
date = {2020-01-01},
journal = {Symmetry-Basel},
volume = {12},
number = {10 (1581)},
pages = {1-15},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ding, Yongcheng; Ban, Yue; Martín-Guerrero, José D; Solano, Enrique; Casanova, Jorge; Chen, Xi
Breaking Adiabatic Quantum Control with Deep Learning Miscellaneous
2020.
@misc{ding2020breakingb,
title = {Breaking Adiabatic Quantum Control with Deep Learning},
author = {Yongcheng Ding and Yue Ban and Jos\'{e} D Mart\'{i}n-Guerrero and Enrique Solano and Jorge Casanova and Xi Chen},
url = {https://arxiv.org/abs/2009.04297},
year = {2020},
date = {2020-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
RV, Casaña-Eslava; S, Ortega-Martorell; Lisboa PJ, Candiota AP; Julià-Sapé M, Martín-Guerrero JD
Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites Journal Article
In: PLoS ONE, vol. 15, no. 7, pp. e0235057, 2020.
@article{PELLICERVALERO2020101898b,
title = {Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites},
author = {Casa\~{n}a-Eslava RV and Ortega-Martorell S and Lisboa PJ, Candiota AP and Juli\`{a}-Sap\'{e} M, Mart\'{i}n-Guerrero JD},
doi = {https://doi.org/10.1371/journal.pone.0235057},
year = {2020},
date = {2020-01-01},
journal = {PLoS ONE},
volume = {15},
number = {7},
pages = {e0235057},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Pellicer-Valero, Oscar J; Cattinelli, Isabella; Neri, Luca; Mari, Flavio; Martín-Guerrero, José D; Barbieri, Carlo
Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks Journal Article
In: Artificial Intelligence in Medicine, vol. 107, pp. 101898, 2020, ISSN: 0933-3657.
@article{PELLICERVALERO2020101898,
title = {Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks},
author = {Oscar J Pellicer-Valero and Isabella Cattinelli and Luca Neri and Flavio Mari and Jos\'{e} D Mart\'{i}n-Guerrero and Carlo Barbieri},
url = {http://www.sciencedirect.com/science/article/pii/S0933365719300570},
doi = {https://doi.org/10.1016/j.artmed.2020.101898},
issn = {0933-3657},
year = {2020},
date = {2020-01-01},
journal = {Artificial Intelligence in Medicine},
volume = {107},
pages = {101898},
abstract = {Erythropoiesis Stimulating Agents (ESAs) have become a standard anemia management tool for End Stage Renal Disease (ESRD) patients. However, dose optimization constitutes an extremely challenging task due to huge inter and intra-patient variability in the responses to ESA administration. Current data-based approaches to anemia control focus on learning accurate hemoglobin prediction models, which can be later utilized for testing competing treatment choices and choosing the optimal one. These methods, despite being proven effective in practice, present several shortcomings which this paper intends to tackle. Namely, they are limited to a small cohort of patients and, even then, they fail to provide suggestions when some strict requirements are not met (such as having a three month history prior to the prediction). Here, recurrent neural networks (RNNs) are used to model whole patient histories, providing predictions at every time step since the very first day. Furthermore, an unprecedented amount of data (∼110,000 patients from many different medical centers in twelve countries, without exclusion criteria) was used to train it, thus allowing it to generalize for every single patient. The resulting model outperforms state-of-the-art Hemoglobin prediction, providing excellent results even when tested on a prospective dataset. Simultaneously, it allows to bring the benefits of algorithmic anemia control to a very large group of patients.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Casaña-Eslava, Raúl V; Lisboa, Paulo J G; Ortega-Martorell, Sandra; Jarman, Ian H; Martín-Guerrero, José D
Probabilistic quantum clustering Journal Article
In: Knowledge-Based Systems, vol. 194, pp. 105567, 2020, ISSN: 0950-7051.
@article{CASANAESLAVA2020105567,
title = {Probabilistic quantum clustering},
author = {Ra\'{u}l V Casa\~{n}a-Eslava and Paulo J G Lisboa and Sandra Ortega-Martorell and Ian H Jarman and Jos\'{e} D Mart\'{i}n-Guerrero},
url = {http://www.sciencedirect.com/science/article/pii/S0950705120300587},
doi = {https://doi.org/10.1016/j.knosys.2020.105567},
issn = {0950-7051},
year = {2020},
date = {2020-01-01},
journal = {Knowledge-Based Systems},
volume = {194},
pages = {105567},
keywords = {},
pubstate = {published},
tppubtype = {article}
}