List of research papers on journals and conference proceedings published by the IDAL members.
2022
Fernández-de-las-Peñas, César; Martín-Guerrero, José D.; Cancela-Cilleruelo, Ignacio; Rodríguez-Jiménez, Jorge; Moro-López-Menchero, Paloma; Pellicer-Valero, Oscar J.
In: Journal of Neurology, vol. 269, no. 9, pp. 4613–4617, 2022, ISBN: 1432-1459.
@article{neurocovid,
title = {Exploring trajectory recovery curves of post-COVID cognitive symptoms in previously hospitalized COVID-19 survivors: 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 Jorge Rodr\'{i}guez-Jim\'{e}nez and Paloma Moro-L\'{o}pez-Menchero and Oscar J. Pellicer-Valero},
url = {https://doi.org/10.1007/s00415-022-11176-x},
doi = {10.1007/s00415-022-11176-x},
isbn = {1432-1459},
year = {2022},
date = {2022-09-01},
journal = {Journal of Neurology},
volume = {269},
number = {9},
pages = {4613--4617},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Fernández-de-las-Peñas, César; Martín-Guerrero, José D.; Navarro-Pardo, Esperanza; Cancela-Cilleruelo, Ignacio; Moro-López-Menchero, Paloma; Pellicer-Valero, Oscar J.
Exploring Trajectory Curves from Loss of Smell and Taste in Previously Hospitalized COVID-19 Survivors: the LONG-COVID-EXP-CM Multicenter Study Journal Article
In: Journal of General Internal Medicine, vol. 37, no. 7, pp. 1821–1823, 2022, ISBN: 1525-1497.
@article{covid-smell-taste2022,
title = {Exploring Trajectory Curves from Loss of Smell and Taste in Previously Hospitalized COVID-19 Survivors: 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 Esperanza Navarro-Pardo and Ignacio Cancela-Cilleruelo and Paloma Moro-L\'{o}pez-Menchero and Oscar J. Pellicer-Valero},
url = {https://doi.org/10.1007/s11606-022-07459-8},
doi = {10.1007/s11606-022-07459-8},
isbn = {1525-1497},
year = {2022},
date = {2022-05-01},
journal = {Journal of General Internal Medicine},
volume = {37},
number = {7},
pages = {1821--1823},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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.},
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 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},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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}
}
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},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Fernández-de-las-Peñas, César; de-la-Llave-Rincón, Ana I.; Ortega-Santiago, Ricardo; Ambite-Quesada, Silvia; Gómez-Mayordomo, Víctor; Cuadrado, María L.; Arias-Navalón, José A.; Hernández-Barrera, Valentín; Martín-Guerrero, José D.; Pellicer-Valero, Oscar J.; Arendt-Nielsen, Lars
In: PAIN, vol. 163, no. 9, 2022, ISBN: 0304-3959.
@article{paincovid,
title = {Prevalence and risk factors of musculoskeletal pain symptoms as long-term post-COVID sequelae in hospitalized COVID-19 survivors: a multicenter study},
author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Ana I. de-la-Llave-Rinc\'{o}n and Ricardo Ortega-Santiago and Silvia Ambite-Quesada and V\'{i}ctor G\'{o}mez-Mayordomo and Mar\'{i}a L. Cuadrado and Jos\'{e} A. Arias-Naval\'{o}n and Valent\'{i}n Hern\'{a}ndez-Barrera and Jos\'{e} D. Mart\'{i}n-Guerrero and Oscar J. Pellicer-Valero and Lars Arendt-Nielsen},
url = {https://doi.org/10.1097/j.pain.0000000000002564},
isbn = {0304-3959},
year = {2022},
date = {2022-01-01},
journal = {PAIN},
volume = {163},
number = {9},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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},
tppubtype = {article}
}
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},
issn = {0925-2312},
year = {2022},
date = {2022-01-01},
journal = {Neurocomputing},
volume = {470},
pages = {457-461},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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},
booktitle = {Deep Learning in Biology and Medicine},
pages = {247-264},
publisher = {World Scientific (Europe)},
chapter = {8},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
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.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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.
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},
volume = {11},
number = {2},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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{\<LineBreak\>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 = {https://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-17-number-3-2022-partial-issue/ijuc-17-3-p-159-171/},
issn = {1548-7199},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {International Journal Of Unconventional Computing},
volume = {17},
number = {3},
pages = {159-171},
keywords = {},
pubstate = {published},
tppubtype = {article}
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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 = {},
pubstate = {published},
tppubtype = {article}
}
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 = {},
pubstate = {published},
tppubtype = {article}
}
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},
volume = {84},
number = {2},
pages = {248-288},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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},
volume = {19},
number = {8},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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},
pages = {729\textendash731},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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},
volume = {11},
number = {10},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Fernández-de-las-Peñas, César; Martín-Guerrero, José D.; Navarro-Pardo, Esperanza; Torres-Macho, Juan; Guijarro, Carlos; Pellicer-Valero, Oscar J.
In: Journal of Medical Virology, vol. 94, no. 7, pp. 2925-2927, 2022.
@article{https://doi.org/10.1002/jmv.27727,
title = {Exploring the recovery curve for gastrointestinal symptoms from the acute COVID-19 phase to long-term post-COVID: 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 Esperanza Navarro-Pardo and Juan Torres-Macho and Carlos Guijarro and Oscar J. Pellicer-Valero},
url = {https://doi.org/10.1002/jmv.27727},
year = {2022},
date = {2022-01-01},
journal = {Journal of Medical Virology},
volume = {94},
number = {7},
pages = {2925-2927},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Garés-Caballer, Marta; Sánchez-Ortí, Joan Vicent; Correa-Ghisays, Patricia; Balanzá-Martínez, Vicent; Selva-Vera, Gabriel; Vila-Francés, Joan; Magdalena-Benedito, Rafael; San-Martin, Constanza; Victor, Victor M.; Escribano-Lopez, Irene; Hernandez-Mijares, Antonio; Vivas-Lalinde, Juliana; Vieta, Eduard; Leza, Juan C.; Tabarés-Seisdedos, Rafael
Immune--Inflammatory Biomarkers Predict Cognition and Social Functioning in Patients With Type 2 Diabetes Mellitus, Major Depressive Disorder, Bipolar Disorder, and Schizophrenia: A 1-Year Follow-Up Study Journal Article
In: Frontiers in Neurology, vol. 13, 2022.
@article{10.3389/fneur.2022.883927,
title = {Immune--Inflammatory Biomarkers Predict Cognition and Social Functioning in Patients With Type 2 Diabetes Mellitus, Major Depressive Disorder, Bipolar Disorder, and Schizophrenia: A 1-Year Follow-Up Study},
author = {Marta Gar\'{e}s-Caballer and Joan Vicent S\'{a}nchez-Ort\'{i} and Patricia Correa-Ghisays and Vicent Balanz\'{a}-Mart\'{i}nez and Gabriel Selva-Vera and Joan Vila-Franc\'{e}s and Rafael Magdalena-Benedito and Constanza San-Martin and Victor M. Victor and Irene Escribano-Lopez and Antonio Hernandez-Mijares and Juliana Vivas-Lalinde and Eduard Vieta and Juan C. Leza and Rafael Tabar\'{e}s-Seisdedos},
year = {2022},
date = {2022-01-01},
journal = {Frontiers in Neurology},
volume = {13},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Fernández-de-las-Peñas, César; Martín-Guerrero, José D.; Cancela-Cilleruelo, Ignacio; Moro-López-Menchero, Paloma; Pellicer-Valero, Oscar J.
Exploring the recovery curve for long-term post-COVID dyspnea and fatigue Journal Article
In: European Journal of Internal Medicine, vol. 101, pp. 120-123, 2022, ISSN: 0953-6205.
@article{FERNANDEZDELASPENAS2022120,
title = {Exploring the recovery curve for long-term post-COVID dyspnea and fatigue},
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 Oscar J. Pellicer-Valero},
url = {https://doi.org/10.1016/j.ejim.2022.03.036},
issn = {0953-6205},
year = {2022},
date = {2022-01-01},
journal = {European Journal of Internal Medicine},
volume = {101},
pages = {120-123},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Fernández-de-las-Peñas, César; Cancela-Cilleruelo, Ignacio; Rodríguez-Jiménez, Jorge; Gómez-Mayordomo, Victor; Pellicer-Valero, Oscar J.; Martín-Guerrero, José D.; Hernández-Barrera, Valentín; Arendt-Nielsen, Lars; Torres-Macho, Juan
Associated-Onset Symptoms and Post-COVID-19 Symptoms in Hospitalized COVID-19 Survivors Infected with Wuhan, Alpha or Delta SARS-CoV-2 Variant Journal Article
In: Pathogens, vol. 11, no. 7, 2022, ISSN: 2076-0817.
@article{pathogens11070725,
title = {Associated-Onset Symptoms and Post-COVID-19 Symptoms in Hospitalized COVID-19 Survivors Infected with Wuhan, Alpha or Delta SARS-CoV-2 Variant},
author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Ignacio Cancela-Cilleruelo and Jorge Rodr\'{i}guez-Jim\'{e}nez and Victor G\'{o}mez-Mayordomo and Oscar J. Pellicer-Valero and Jos\'{e} D. Mart\'{i}n-Guerrero and Valent\'{i}n Hern\'{a}ndez-Barrera and Lars Arendt-Nielsen and Juan Torres-Macho},
url = {https://doi.org/10.3390/pathogens11070725},
doi = {10.3390/pathogens11070725},
issn = {2076-0817},
year = {2022},
date = {2022-01-01},
journal = {Pathogens},
volume = {11},
number = {7},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ferrer-Sánchez, Antonio; Bagan, Jose; Vila-Francés, Joan; Magdalena-Benedito, Rafael; Bagan-Debon, Leticia
Prediction of the risk of cancer and the grade of dysplasia in leukoplakia lesions using deep learning Journal Article
In: Oral Oncology, vol. 132, pp. 105967, 2022, ISSN: 1368-8375.
@article{FERRERSANCHEZ2022105967,
title = {Prediction of the risk of cancer and the grade of dysplasia in leukoplakia lesions using deep learning},
author = {Antonio Ferrer-S\'{a}nchez and Jose Bagan and Joan Vila-Franc\'{e}s and Rafael Magdalena-Benedito and Leticia Bagan-Debon},
url = {https://www.sciencedirect.com/science/article/pii/S1368837522002561},
doi = {https://doi.org/10.1016/j.oraloncology.2022.105967},
issn = {1368-8375},
year = {2022},
date = {2022-01-01},
journal = {Oral Oncology},
volume = {132},
pages = {105967},
abstract = {Objectives
To estimate the probability of malignancy of an oral leukoplakia lesion using Deep Learning, in terms of evolution to cancer and high-risk dysplasia.
Materials and Methods
A total of 261 oral leukoplakia lesions with a mean of 5.5 years follow-up were analysed from standard digital photographs. A deep learning pipeline composed by a U-Net based segmentation of the lesion followed by a multi-task CNN classifier was used to predict the malignant transformation and the risk of dysplasia of the lesion. An explainability heatmap is constructed using LIME in order to interpret the decision of the model for each output.
Results
A Dice coefficient of 0.561 was achieved on the segmentation task. For the prediction of a malignant transformation, the model provided a sensitivity of 1 with a specificity of 0.692. For the prediction of high-risk dysplasia, the model achieved a specificity of 0.740 and a sensitivity of 0.928.
Conclusion
The proposed model using deep learning can be a helpful tool for predicting the possible malignant evolution of oral leukoplakias. The generated heatmap provides a high confidence on the output of the model and enables its interpretability.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
To estimate the probability of malignancy of an oral leukoplakia lesion using Deep Learning, in terms of evolution to cancer and high-risk dysplasia.
Materials and Methods
A total of 261 oral leukoplakia lesions with a mean of 5.5 years follow-up were analysed from standard digital photographs. A deep learning pipeline composed by a U-Net based segmentation of the lesion followed by a multi-task CNN classifier was used to predict the malignant transformation and the risk of dysplasia of the lesion. An explainability heatmap is constructed using LIME in order to interpret the decision of the model for each output.
Results
A Dice coefficient of 0.561 was achieved on the segmentation task. For the prediction of a malignant transformation, the model provided a sensitivity of 1 with a specificity of 0.692. For the prediction of high-risk dysplasia, the model achieved a specificity of 0.740 and a sensitivity of 0.928.
Conclusion
The proposed model using deep learning can be a helpful tool for predicting the possible malignant evolution of oral leukoplakias. The generated heatmap provides a high confidence on the output of the model and enables its interpretability.
Harvat, Mykola; Martín-Guerrero, José D.
Memory degradation induced by attention in recurrent neural architectures Journal Article
In: Neurocomputing, vol. 502, pp. 161-176, 2022, ISSN: 0925-2312.
@article{HARVAT2022161,
title = {Memory degradation induced by attention in recurrent neural architectures},
author = {Mykola Harvat and Jos\'{e} D. Mart\'{i}n-Guerrero},
url = {https://www.sciencedirect.com/science/article/pii/S0925231222007858},
doi = {https://doi.org/10.1016/j.neucom.2022.06.056},
issn = {0925-2312},
year = {2022},
date = {2022-01-01},
journal = {Neurocomputing},
volume = {502},
pages = {161-176},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Garés-Caballer, Marta; Sánchez-Ortí, Joan Vicent; Correa-Ghisays, Patricia; Balanzá-Martínez, Vicent; Selva-Vera, Gabriel; Vila-Francés, Joan; Magdalena-Benedito, Rafael; San-Martin, Constanza; Victor, Victor M.; Escribano-Lopez, Irene; Hernandez-Mijares, Antonio; Vivas-Lalinde, Juliana; Vieta, Eduard; Leza, Juan C.; Tabarés-Seisdedos, Rafael
In: Frontiers in Neurology, vol. 13, 2022, ISSN: 1664-2295.
@article{10.3389/fneur.2022.883927b,
title = {Immune\textendashInflammatory Biomarkers Predict Cognition and Social Functioning in Patients With Type 2 Diabetes Mellitus, Major Depressive Disorder, Bipolar Disorder, and Schizophrenia: A 1-Year Follow-Up Study},
author = {Marta Gar\'{e}s-Caballer and Joan Vicent S\'{a}nchez-Ort\'{i} and Patricia Correa-Ghisays and Vicent Balanz\'{a}-Mart\'{i}nez and Gabriel Selva-Vera and Joan Vila-Franc\'{e}s and Rafael Magdalena-Benedito and Constanza San-Martin and Victor M. Victor and Irene Escribano-Lopez and Antonio Hernandez-Mijares and Juliana Vivas-Lalinde and Eduard Vieta and Juan C. Leza and Rafael Tabar\'{e}s-Seisdedos},
url = {https://www.frontiersin.org/articles/10.3389/fneur.2022.883927},
doi = {10.3389/fneur.2022.883927},
issn = {1664-2295},
year = {2022},
date = {2022-01-01},
journal = {Frontiers in Neurology},
volume = {13},
abstract = {BackgroundSystemic, low-grade immune\textendashinflammatory activity, together with social and neurocognitive performance deficits are a transdiagnostic trait of people suffering from type 2 diabetes mellitus (T2DM) and severe mental illnesses (SMIs), such as schizophrenia (SZ), major depressive disorder (MDD), and bipolar disorder (BD). We aimed to determine if immune\textendashinflammatory mediators were significantly altered in people with SMIs or T2DM compared with healthy controls (HC) and whether these biomarkers could help predict their cognition and social functioning 1 year after assessment. MethodsWe performed a prospective, 1-year follow-up cohort study with 165 participants at baseline (TB), including 30 with SZ, 42 with BD, 35 with MDD, 30 with T2DM, and 28 HC; and 125 at 1-year follow-up (TY), and determined executive domain (ED), global social functioning score (GSFS), and peripheral blood immune\textendashinflammatory and oxidative stress biomarkers. ResultsParticipants with SMIs and T2DM showed increased peripheral levels of inflammatory markers, such as interleukin-10 (p < 0.01; η^{2}p = 0.07) and tumor necrosis factor-α (p < 0.05; η^{2}p = 0.08); and oxidative stress biomarkers, such as reactive oxygen species (ROS) (p < 0.05; η^{2}p = 0.07) and mitochondrial ROS (p < 0.01; η^{2}p = 0.08). The different combinations of the exposed biomarkers anticipated 46\textendash57.3% of the total ED and 23.8\textendash35.7% of GSFS for the participants with SMIs. LimitationsParticipants' treatment, as usual, was continued without no specific interventions; thus, it was difficult to anticipate substantial changes related to the psychopharmacological pattern. ConclusionPeople with SMIs show significantly increased levels of peripheral immune\textendashinflammatory biomarkers, which may contribute to the neurocognitive and social deficits observed in SMIs, T2DM, and other diseases with systemic immune\textendashinflammatory activation of chronic development. These parameters could help identify the subset of patients who could benefit from immune\textendashinflammatory modulator strategies to ameliorate their functional outcomes. },
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Fernández-de-las-Peñas, César; Cancela-Cilleruelo, Ignacio; Moro-López-Menchero, Paloma; Rodríguez-Jiménez, Jorge; Gómez-Mayordomo, Víctor; Torres-Macho, Juan; Pellicer-Valero, Oscar J.; Martín-Guerrero, José D.; Hernández-Barrera, Valentín; Arendt-Nielsen, Lars
In: Biomedicines, vol. 10, no. 8, 2022, ISSN: 2227-9059.
@article{biomedicines10081951,
title = {Prevalence of Musculoskeletal Post-COVID Pain in Hospitalized COVID-19 Survivors Depending on Infection with the Historical, Alpha or Delta SARS-CoV-2 Variant},
author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Ignacio Cancela-Cilleruelo and Paloma Moro-L\'{o}pez-Menchero and Jorge Rodr\'{i}guez-Jim\'{e}nez and V\'{i}ctor G\'{o}mez-Mayordomo and Juan Torres-Macho and Oscar J. Pellicer-Valero and Jos\'{e} D. Mart\'{i}n-Guerrero and Valent\'{i}n Hern\'{a}ndez-Barrera and Lars Arendt-Nielsen},
url = {https://doi.org/10.3390/biomedicines10081951},
doi = {10.3390/biomedicines10081951},
issn = {2227-9059},
year = {2022},
date = {2022-01-01},
journal = {Biomedicines},
volume = {10},
number = {8},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Fernández-de-las-Peñas, César; Ortega-Santiago, Ricardo; Fuensalida-Novo, Stella; Martín-Guerrero, José D.; Pellicer-Valero, Oscar J.; Torres-Macho, Juan
In: Vaccines, vol. 10, no. 9, 2022, ISSN: 2076-393X.
@article{vaccines10091481,
title = {Differences in Long-COVID Symptoms between Vaccinated and Non-Vaccinated (BNT162b2 Vaccine) Hospitalized COVID-19 Survivors Infected with the Delta Variant},
author = {C\'{e}sar Fern\'{a}ndez-de-las-Pe\~{n}as and Ricardo Ortega-Santiago and Stella Fuensalida-Novo and Jos\'{e} D. Mart\'{i}n-Guerrero and Oscar J. Pellicer-Valero and Juan Torres-Macho},
url = {https://doi.org/10.3390/vaccines10091481},
doi = {10.3390/vaccines10091481},
issn = {2076-393X},
year = {2022},
date = {2022-01-01},
journal = {Vaccines},
volume = {10},
number = {9},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}
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}
}