Publications

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C
Casaseca-de-la-Higuera, P., A. Tristán-Vega, S. Aja-Fernández, C. Alberola-Lopez, C-F. Westin, and R. San Jose-Estepar, "Optimal real-time estimation in diffusion tensor imaging", Magnetic resonance imaging, vol. 30, no. 4: Elsevier, pp. 506–517, 2012.
Casaseca-de-la-Higuera, P., R. de Luis-García, F. Simmross-Wattenberg, and C. Alberola-Lopez, "Weaning from mechanical ventilation: feature extraction from a statistical signal processing viewpoint", Proc. 13th Signal Processing Conf., EUSIPCO, 2005.
Casaseca-de-la-Higuera, P., J. I. Arribas, E. Muñoz-Moreno, and C. Alberola-Lopez, "A comparative study on microcalcification detection methods with posterior probability estimation based on Gaussian mixture models", Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the: IEEE, pp. 49–54, 2005.
Casaseca-de-la-Higuera, P., P. Lesso, B. Mckinstry, H. Pinnock, R. Rabinovich, L. McCloughan, and J. Monge-Álvarez, "Effect of Downsampling and Compressive Sensing on Audio-based Continuous Cough Monitoring", 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), vol. 37, Milan, Italy, pp. 6231-6235, 2015.
Casaseca-de-la-Higuera, P., A. Tristán-Vega, C. Hoyos-Barceló, S. Merino-Caviedes, Q. Wang, C. Luo, X. Wang, and Z. Wang, "Compressed UAV sensing for flood monitoring by solving the continuous travelling salesman problem over hyperspectral maps", Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2018: International Society for Optics and Photonics, 2018.
Canales-Rodríguez, E. J., A. Daducci, S. N. Sotiropoulos, E. Caruyer, S. Aja-Fernández, J. Radua, J. M. Yurrame Mendizabal, Y. Iturria-Medina, L. Melie-García, Y. Alemán-Gómez, et al., "Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization", PLoS ONE, vol. 10, pp. e0138910, 2015.
Canales-Rodríguez, E. J., A. Daducci, S. N. Sotiropoulos, E. Caruyer, S. Aja-Fernández, J. Radua, Y. Yurramendi Mendizabal, Y. Iturria-Medina, L. Melie-García, and Y. Alemán-Gómez, "Spherical deconvolution of multichannel diffusion MRI data with non-Gaussian noise models and total variation spatial regularization", arXiv preprint arXiv:1410.6353, 2014.
B
Brun, A., M. Martin-Fernandez, B. Acar, E. Muñoz-Moreno, L. Cammoun, A. Sigfridsson, D. Sosa-Cabrera, B. Svensson, M. Herberthson, and H. Knutsson, "Similar Tensor Arrays–A Framework for Storage of Tensor Array Data", Tensors in Image Processing and Computer Vision: Springer London, pp. 407–428, 2009.
Brion, V., C. Poupon, O. Riff, S. Aja-Fernández, A. Tristán-Vega, J-F. Mangin, D. Le Bihan, and F. Poupon, "Parallel MRI noise correction: an extension of the LMMSE to non central $\chi$ distributions", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: Springer Berlin Heidelberg, pp. 226–233, 2011.
Brion, V., C. Poupon, O. Riff, S. Aja-Fernández, A. Tristán-Vega, J-F. Mangin, D. Le Bihan, and F. Poupon, "Noise correction for HARDI and HYDI data obtained with multi-channel coils and Sum of Squares reconstruction: An anisotropic extension of the LMMSE", Magnetic resonance imaging, vol. 31, no. 8: Elsevier, pp. 1360–1371, 2013.
Bouix, S., M. Martin-Fernandez, L. Ungar, M. Nakamura, M-S. Koo, R. W. McCarley, and M. E. Shenton, "On evaluating brain tissue classifiers without a ground truth", Neuroimage, vol. 36, no. 4: Academic Press, pp. 1207–1224, 2007.
Barrio-Arranz, G., R. de Luis-García, A. Tristán-Vega, M. Martin-Fernandez, and S. Aja-Fernández, "Impact of MR Acquisition Parameters on DTI Scalar Indexes: A Tractography Based Approach", PLoS ONE, vol. 10, pp. e0137905, 2015.
Barrio-Arranz, G., S. Aja-Fernández, C. Alberola-Lopez, and M. Martin-Fernandez, "SATURN2: An Improved Software Tool for Neuroimaging Analysis", CASEIB2011, Cáceres, Espana, 2011.
Barneto-Valero, M. Cristina, J R. Garmendia-Leiza, J. Ardura-Fernández, P. Casaseca-de-la-Higuera, J. Maria Andres-de-Llano, and E. Corral-Torres, "Relation between Myocardial Infarction and Cyrcadian Rhythm in Patients Attended in a Prehospital Emergency Service", Medicina Clínica, vol. 139, pp. 515-521, 2012.
A
Arribas, J. I., J. Cid-Sueiro, T. Adali, and A. R. Figueiras-Vidal, "Neural architectures for parametric estimation of a posteriori probabilities by constrained conditional density functions", Neural Networks for Signal Processing - Proceedings of the IEEE Workshop, Madison, WI, USA, IEEE, Piscataway, NJ, United States, 1999.
Arribas, J. I., G. V. Sanchez-Ferrero, G. Ruiz-Ruiz, and J. Gomez-Gil, "Leaf classification in sunflower crops by computer vision and neural networks", Computers and Electronics in Agriculture, vol. 78, pp. 9-18, 2011.
Arribas, J. I., J. Cid-Sueiro, T. Adali, H. Ni, B. Wang, and A. R. Figueiras-Vidal, "Estimates of constrained multi-class a posteriori probabilities in time series problems with neural networks", Proceedings of the International Joint Conference on Neural Networks, Washington, DC, USA, IEEE, United States, 1999.
Arribas, J. I., Sunflowers: growth and development, environmental influences and pests/diseases., New York, Nova Science Publishers, pp. 323, 2014.
Arribas, J. I., C. Alberola-Lopez, A. Mateos-Marcos, and J. Cid-Sueiro, "Neural posterior probabilities for microcalcification detection in breast cancer diagnoses", Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on: IEEE, pp. 660–663, 2003.
Arribas, J. I., V. D. Calhoun, and T. Adali, "Automatic bayesian classification of healthy controls, bipolar disorder, and schizophrenia using intrinsic connectivity maps from fMRI data", IEEE Transactions on Biomedical Engineering, vol. 57, pp. 2850-2860, 2010.
Arribas, J. I., J. Cid-Sueiro, T. Adali, and A. R. Figueiras-Vidal, "Neural networks to estimate ML multi-class constrained conditional probability density functions", Proceedings of the International Joint Conference on Neural Networks, Washington, DC, USA, IEEE, United States, 1999.
Arribas, J. I., and J. Cid-Sueiro, "A model selection algorithm for a posteriori probability estimation with neural networks", IEEE Transactions on Neural Networks, vol. 16, pp. 799-809, 2005.
Arribas, J. I., J. Cid-Sueiro, and C. Alberola-Lopez, "Estimation of Posterior Probabilities with Neural Networks: Application to Microcalcification Detection in Breast Cancer Diagnosis", Handbook of Neural Engineering: John Wiley & Sons, Inc., pp. 41-58, 2006.
Arribas, J. I., J. Cid-Sueiro, and C. Alberola-Lopez, "Estimation of Posterior Probabilities with Neural Networks: Application to Microcalcification Detection in Breast Cancer Diagnosis", Handbook of Neural Engineering: Wiley Online Library, pp. 41–58, 2005.
Arenillas, J. F., D. Argibay-Quiñones, P. Garcia-Bermejo, A. I. Calleja, D. Martín-Martínez, J. M. Sierra, J. José Fuertes-Alija, and M. Martin-Fernandez, "Diffusion Tensor Imaging (DTI) Monitoring Of Motor Function Recovery After Middle Cerebral Artery Infarction: Searching For A DTI-Marker Of Neurorepair", STROKE, vol. 42, no. 3: LIPPINCOTT WILLIAMS & WILKINS 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA, pp. E119–E119, 2011.

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