PRAIA - Publications AI/HEALTH

This line of work is framed in the area of Bioinformatics and aims to provide novel solutions to problems related to precision medicine and offer help in the investigation of the mechanisms inherent to diseases. In this way, the application of AI techniques, more specifically Machine Learning (ML), and existing computing capabilities to the field of health will make it possible to generate support systems for physicians that facilitate their work and the quality of the services provided, resulting in a better quality of life for patients. Thus, the aim is to apply techniques that have proven their validity and effectiveness in other fields, such as biometrics, handwritten text recognition, and automatic translation to healthcare.

A.M. Pedraza-Flechas, V. Lope, C. Vidal, C. Sánchez-Contador, C. Santamariña, C. Pedraz-Pingarrón, P. Moreo, N. Ascunce, J. Miranda-García, R. Llobet, N. Aragonés, D. Salas-Trejo, M. Pollán, B. Pérez-Gómez. (2017).
Thyroid disorders and mammographic density in spanish women: Var-DDM study.
The Breast 34, 12-17.
https://doi.org/10.1016/j.breast.2017.04.011

@article{apedraza-flechas2017thyroid,
	author = {A.M. Pedraza-Flechas and V. Lope and C. Vidal and C. Sánchez-Contador and C. Santamariña and C. Pedraz-Pingarrón and P. Moreo and N. Ascunce and J. Miranda-García and R. Llobet and N. Aragonés and D. Salas-Trejo and M. Pollán and B. Pérez-Gómez},
	title = {Thyroid disorders and mammographic density in spanish women: Var-DDM study},
	journal = {The Breast},
	year = {2017},
	volume = {34},
	number = {},
	pages = {12-17},
	publisher = {},
	doi = {https://doi.org/10.1016/j.breast.2017.04.011},
	isbn = {}
}

J. García-Pérez, M. Pollán, B. Pérez-Gómez, M. González-Sánchez, R.A. Cortés-Barragán, J. Maqueda Blasco, M.C. González-Galarzo, M.A. Alba, R. van der Haar, S. Casas, C. Vicente, P. Medina, M. Ederra, C. Santamariña, M.P. Moreno, F. Casanova, C. Pedraz-Pingarrón, P. Moreo, N. Ascunce, M. García, D. Salas-Trejo, C. Sánchez-Contador, R. Llobet, V. Lope. (2017).
Occupation and mammographic density: a population-based study (DDM- Occup).
Environmental Research 159, 355-361.
https://doi.org/10.1016/j.envres.2017.08.028

@article{jgarcia-perez2017occupation,
	author = {J. García-Pérez and M. Pollán and B. Pérez-Gómez and M. González-Sánchez and R.A. Cortés-Barragán and J. Maqueda Blasco and M.C. González-Galarzo and M.A. Alba and R. van der Haar and S. Casas and C. Vicente and P. Medina and M. Ederra and C. Santamariña and M.P. Moreno and F. Casanova and C. Pedraz-Pingarrón and P. Moreo and N. Ascunce and M. García and D. Salas-Trejo and C. Sánchez-Contador and R. Llobet and V. Lope},
	title = {Occupation and mammographic density: a population-based study (DDM- Occup)},
	journal = {Environmental Research},
	year = {2017},
	volume = {159},
	number = {},
	pages = {355-361},
	publisher = {},
	doi = {https://doi.org/10.1016/j.envres.2017.08.028},
	isbn = {}
}

A.M. Pedraza-Flechas, V. Lope, P. Moreo, N. Ascunce, J. Miranda-García, C. Vidal, C. Sánchez-Contador, C. Santamariña, C. Pedraz-Pingarrón, R. Llobet, N. Aragonés, D. Salas-Trejo, M. Pollán, B. Pérez-Gómez. (2017).
Sleep patterns, sleep disorders and mammographic density in spanish women: The DDM-Spain/Var-DDM study.
Maturitas 99, 105-108.
https://doi.org/10.1016/j.maturitas.2017.02.015

@article{apedraza-flechas2017sleep,
	author = {A.M. Pedraza-Flechas and V. Lope and P. Moreo and N. Ascunce and J. Miranda-García and C. Vidal and C. Sánchez-Contador and C. Santamariña and C. Pedraz-Pingarrón and R. Llobet and N. Aragonés and D. Salas-Trejo and M. Pollán and B. Pérez-Gómez},
	title = {Sleep patterns, sleep disorders and mammographic density in spanish women: The DDM-Spain/Var-DDM study},
	journal = {Maturitas},
	year = {2017},
	volume = {99},
	number = {},
	pages = {105-108},
	publisher = {},
	doi = {https://doi.org/10.1016/j.maturitas.2017.02.015},
	isbn = {}
}

A.M. Pedraza-Flechas, V. Lope, C. Sánchez-Contador, C. Santamariña, C. Pedraz-Pingarrón, P. Moreo, M. Ederra, J. Miranda-García, C. Vidal, R. Llobet, N. Aragonés, D. Salas-Trejo, M. Pollán, B. Pérez-Gómez. (2017).
High Mammographic Density in Long-Term Night-Shift Workers: DDM-Spain/Var-DDM.
Cancer Epidemiology and Prevention Biomarkers 26(6), 905-913.
https://doi.org/10.1158/1055-9965.EPI-16-0507

@article{apedraza-flechas2017high,
	author = {A.M. Pedraza-Flechas and V. Lope and C. Sánchez-Contador and C. Santamariña and C. Pedraz-Pingarrón and P. Moreo and M. Ederra and J. Miranda-García and C. Vidal and R. Llobet and N. Aragonés and D. Salas-Trejo and M. Pollán and B. Pérez-Gómez},
	title = {High Mammographic Density in Long-Term Night-Shift Workers: DDM-Spain/Var-DDM},
	journal = {Cancer Epidemiology and Prevention Biomarkers},
	year = {2017},
	volume = {26},
	number = {6},
	pages = {905-913},
	publisher = {},
	doi = {https://doi.org/10.1158/1055-9965.EPI-16-0507},
	isbn = {}
}

M. de la Iglesia-Vayá, J.M. Salinas, G.M. Rojas, J-C. Perez-Cortes, R. Llobet, M.A. Cazorla, J. Martínez, L. Martí-Bonmatí, I. Blanquer, M. Regaña, J.M. Puig. (2015).
BIMCV: Synergy between Peta Bytes of data in population medical imaging, computer aided diagnosis and AVR.
Digital Healthcare Empowering Europeans, 987-989.

@inproceedings{mde2015bimcv:,
	author = {M. de la Iglesia-Vayá and J.M. Salinas and G.M. Rojas and J-C. Perez-Cortes and R. Llobet and M.A. Cazorla and J. Martínez and L. Martí-Bonmatí and I. Blanquer and M. Regaña and J.M. Puig},
	title = {BIMCV: Synergy between Peta Bytes of data in population medical imaging, computer aided diagnosis and AVR},
	journal = {},
	year = {2015},
	volume = {},
	number = {},
	pages = {987-989},
	publisher = {},
	doi = {},
	isbn = {}
}

R. Llobet, M. Pollán, J. Antón, J. Miranda-García, M. Casals, I. Martínez, F. Ruiz-Perales, B. Perez-Gomez, D. Salas-Trejo, J-C. Perez-Cortes. (2014).
Semi-automated and fully automated mammographic density measurement and breast cancer risk prediction.
Computer Methods and Programs in Biomedicine 116(2), 105-115.
https://doi.org/10.1016/j.cmpb.2014.01.021

@article{rllobet2014semi-automated,
	author = {R. Llobet and M. Pollán and J. Antón and J. Miranda-García and M. Casals and I. Martínez and F. Ruiz-Perales and B. Perez-Gomez and D. Salas-Trejo and J-C. Perez-Cortes},
	title = {Semi-automated and fully automated mammographic density measurement and breast cancer risk prediction},
	journal = {Computer Methods and Programs in Biomedicine},
	year = {2014},
	volume = {116},
	number = {2},
	pages = {105-115},
	publisher = {},
	doi = {https://doi.org/10.1016/j.cmpb.2014.01.021},
	isbn = {}
}

B. Pérez-Gómez, F. Ruiz, I. Martínez, M. Casals, J. Miranda, C. Sánchez-Contador, C. Vidal, R. Llobet, M. Pollán, D. Salas-Trejo. (2012).
Women’s features and inter-/intra-rater agreement on mammographic density assessment in full-field digital mammograms (DDM-SPAIN).
Breast Cancer Research and Treatment 132, 287-295.
https://doi.org/10.1007/s10549-011-1833-3

@article{bperez-gomez2012women’s,
	author = {B. Pérez-Gómez and F. Ruiz and I. Martínez and M. Casals and J. Miranda and C. Sánchez-Contador and C. Vidal and R. Llobet and M. Pollán and D. Salas-Trejo},
	title = {Women’s features and inter-/intra-rater agreement on mammographic density assessment in full-field digital mammograms (DDM-SPAIN)},
	journal = {Breast Cancer Research and Treatment},
	year = {2012},
	volume = {132},
	number = {},
	pages = {287-295},
	publisher = {},
	doi = {https://doi.org/10.1007/s10549-011-1833-3},
	isbn = {}
}

R. Llobet, J.A. Solves, J-C. Perez-Cortes, F. Ruiz-Perales. (2009).
Mammographic Density Classification based on Local Histograms.
International Workshop on Medical Image Analysis and Description for Diagnosis Systems, 85-90.

@inproceedings{rllobet2009mammographic,
	author = {R. Llobet and J.A. Solves and J-C. Perez-Cortes and F. Ruiz-Perales},
	title = {Mammographic Density Classification based on Local Histograms},
	journal = {},
	year = {2009},
	volume = {},
	number = {},
	pages = {85-90},
	publisher = {},
	doi = {https://doi.org/10.5220/0001813600850090},
	isbn = {}
}

Healthcare related scientific publications

Works related to different healthcare challenges using AI technologies