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Items: 5

1.

Representation learning for mammography mass lesion classification with convolutional neural networks.

Arevalo J, González FA, Ramos-Pollán R, Oliveira JL, Guevara Lopez MA.

Comput Methods Programs Biomed. 2016 Apr;127:248-57. doi: 10.1016/j.cmpb.2015.12.014. Epub 2016 Jan 7.

PMID:
26826901
2.

Convolutional neural networks for mammography mass lesion classification.

Arevalo J, Gonzalez FA, Ramos-Pollan R, Oliveira JL, Guevara Lopez MA.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:797-800. doi: 10.1109/EMBC.2015.7318482.

PMID:
26736382
3.

A software framework for building biomedical machine learning classifiers through grid computing resources.

Ramos-Pollán R, Guevara-López MA, Oliveira E.

J Med Syst. 2012 Aug;36(4):2245-57. doi: 10.1007/s10916-011-9692-3. Epub 2011 Apr 9.

PMID:
21479625
4.

Discovering mammography-based machine learning classifiers for breast cancer diagnosis.

Ramos-Pollán R, Guevara-López MA, Suárez-Ortega C, Díaz-Herrero G, Franco-Valiente JM, Rubio-Del-Solar M, González-de-Posada N, Vaz MA, Loureiro J, Ramos I.

J Med Syst. 2012 Aug;36(4):2259-69. doi: 10.1007/s10916-011-9693-2. Epub 2011 Apr 9.

PMID:
21479624
5.

Grid infrastructures for developing mammography CAD systems.

Ramos-Pollan R, Franco JM, Sevilla J, Guevara-Lopez MA, de Posada NG, Loureiro J, Ramos I.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:3467-70. doi: 10.1109/IEMBS.2010.5627832.

PMID:
21097026

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