Publications

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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, "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.
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.
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., S. Aja-Fernández, C. Alberola-Lopez, and M. Martin-Fernandez, "SATURN2: An Improved Software Tool for Neuroimaging Analysis", CASEIB2011, Cáceres, Espana, 2011.
Barrio-Arranz, G., R. de Luis-García, A. Tristán-Vega, M. Martín-Fernández, and S. Aja-Fernández, "Impact of MR Acquisition Parameters on DTI Scalar Indexes: A Tractography Based Approach", PLoS ONE, vol. 10, pp. e0137905, 2015.
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, 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, 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., 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, 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., 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., Sunflowers: growth and development, environmental influences and pests/diseases., New York, Nova Science Publishers, pp. 323, 2014.
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, 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.
Arribas, J. I., C. Alberola López, 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.
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.
Amado-Caballero, P., P. Casaseca-de-la-Higuera, S. Alberola-Lopez, J. Maria Andres-de-Llano, J. Antonio Lopez-Villalobos, J. Ramon Garmendia-Leiza, and C. Alberola-Lopez, "Objective ADHD diagnosis using Convolutional Neural Networks over Daily-Life Activity Records", IEEE Journal of Biomedical and Health Informatics, 2020.
Alonso-Garcia, S., J. Gomez-Gil, and J. I. Arribas, "Evaluation of the use of low-cost GPS receivers in the autonomous guidance of agricultural tractors", Spanish Journal of Agricultural Research, vol. 9, pp. 377-388, 2011.
Ali, A. Ait Si, M. Siupik, A. Amira, F. Bensaali, and P. Casaseca-de-la-Higuera, "HLS based hardware acceleration on the zynq SoC: A case study for fall detection system", IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA 2014), Doha, Qatar, 2014.
Algarín, J. M., E. Díaz-Caballero, J. Borreguero, F. Galve, D. Grau-Ruiz, J. P. Rigla, R. Bosch, J. M. González, E. Pallás, M. Corberán, et al., "Simultaneous imaging of hard and soft biological tissues in a low-field dental MRI scanner", Scientific Reports volume , vol. 10, 2020.

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