Export 318 results:
Author Title [ Type(Desc)] Year
Journal Article
Gibson, R. M., A. Amira, N. Ramzan, P. Casaseca-de-la-Higuera, and Z. Pervez, "Multiple Comparator Classifier Framework for Accelerometer-Based Fall Detection and Diagnostic", Applied Soft Computing, In press, 2015.
Merino-Caviedes, S., L. Cordero-Grande, A.. Revilla-Orodea, M.. T. Perez, M. Martin-Fernandez, and C. Alberola-Lopez, "Multi-stencil streamline fast marching: a general 3D framework to determine myocardial thickness and transmurality in late enhancement images", Medical Imaging, IEEE Transactions on, vol. 33, pp. 23–37, 2014.
Tristán-Vega, A., C-F. Westin, and S. Aja-Fernández, "A new methodology for the estimation of fiber populations in the white matter of the brain with the Funk–Radon transform", NeuroImage, vol. 49, no. 2: Academic Press, pp. 1301–1315, 2010.
Aja-Fernández, S., C. Alberola-Lopez, and C-F. Westin, "Noise and signal estimation in magnitude MRI and Rician distributed images: a LMMSE approach", Image Processing, IEEE Transactions on, vol. 17, no. 8: IEEE, pp. 1383–1398, 2008.
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.
Krissian, K., and S. Aja-Fernández, "Noise-driven anisotropic diffusion filtering of MRI", Image Processing, IEEE Transactions on, vol. 18, no. 10: IEEE, pp. 2265–2274, 2009.
Aja-Fernández, S., G. Vegas-Sanchez-Ferrero, and A. Tristán-Vega, "Noise estimation in parallel MRI: GRAPPA and SENSE", Magnetic resonance imaging, vol. 32, no. 3: Elsevier, pp. 281–290, 2014.
Aja-Fernández, S., A. Tristán-Vega, and C. Alberola-Lopez, "Noise estimation in single-and multiple-coil magnetic resonance data based on statistical models", Magnetic resonance imaging, vol. 27, no. 10: Elsevier, pp. 1397–1409, 2009.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, S. Alberola-Lopez, J. M. Andres-de-Llano, JA. López-Villalobos, J. Ardura-Fernández, and C. Alberola-Lopez, "Nonlinear analysis of actigraphic signals for the assessment of the attention-deficit/hyperactivity disorder (ADHD)", Medical engineering & physics, vol. 34, no. 9: Elsevier, pp. 1317–1329, 2012.
Royuela-del-Val, J., L. Cordero-Grande, F. Simmross-Wattenberg, M. Martin-Fernandez, and C. Alberola-Lopez, "Non-Rigid Groupwise Registration for Motion Estimation and Compensation in Compressed Sensing Reconstruction of Breath-Hold Cardiac Cine MRI", Magnetic Resonance in Medicine, 2015.
Pieciak, T., S. Aja-Fernández, and G. Vegas Sánchez-Ferrero, "Non-Stationary Rician Noise Estimation in Parallel MRI using a Single Image: a Variance-Stabilizing Approach", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PP, pp. 1-1, 2016.
Zhang, H., C. Luo, Q. Wang, M. Kitchin, A. Parmley, J. Monge-Alvarez, and P. Casaseca-de-la-Higuera, "A novel infrared video surveillance system using deep learning based techniques", Multimedia Tools and Applications, pp. 1–20, 2018.
Tardón-García, L. J., J. Portillo-Garcia, and C. Alberola-Lopez, "A novel Markovian formulation of the correspondence problem in stereo vision", Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, vol. 34, no. 3: IEEE, pp. 428–436, 2004.
Alberola-Lopez, C., C. -Corredera, JR, and G. de Miguel-Vela, "Object CFAR detection in gamma-distributed textured-background images", IEE Proceedings-Vision, Image and Signal Processing, vol. 146, no. 3: IEE, pp. 130–136, 1999.
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.
de Luis-Garcia, R., R. Deriche, M. Rousson, and C. Alberola-Lopez, "Poster Presentations 2-Pattern Recognition, Image Processing, and Applications-Tensor Processing for Texture and Colour Segmentation", Lecture Notes in Computer Science, vol. 3540: Berlin: Springer-Verlag, 1973-, pp. 1117–1127, 2005.
Curiale, A. H., G. Vegas-Sanchez-Ferrero, and S. Aja-Fernández, "Probabilistic Tissue Characterization for Ultrasound Images", Insight Journal, 2015.
Tristán-Vega, A., and J. I. Arribas, "A radius and ulna TW3 bone age assessment system", IEEE Transactions on Biomedical Engineering, vol. 55, pp. 1463-1476, 2008.
Barneto-Valero, M. Cristina, J R. Garmendia-Leiza, J. Ardura-Fernández, P. Casaseca-de-la-Higuera, J. M. 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.
Aja-Fernández, S., M. Niethammer, M. Kubicki, M. E. Shenton, and C-F. Westin, "Restoration of DWI data using a Rician LMMSE estimator", Medical Imaging, IEEE Transactions on, vol. 27, no. 10: IEEE, pp. 1389–1403, 2008.
Monge-Alvarez, J., C. Hoyos-Barcelo, P. Lesso, and P. Casaseca-de-la-Higuera, "Robust Detection of Audio-Cough Events using local Hu moments", IEEE Journal of Biomedical and Health Informatics, 2018.
Cárdenes-Almeida, R., E. Muñoz-Moreno, A. Tristán-Vega, and M. Martin-Fernandez, "Saturn: A software application of tensor utilities for research in neuroimaging", Computer methods and programs in biomedicine, vol. 97, no. 3: Elsevier, pp. 264–279, 2010.
Martin-Fernandez, M., E. Muñoz-Moreno, L. Cammoun, J-P. Thiran, C-F. Westin, and C. Alberola-Lopez, "Sequential anisotropic multichannel Wiener filtering with Rician bias correction applied to 3D regularization of DWI data", Medical image analysis, vol. 13, no. 1: Elsevier, pp. 19–35, 2009.
Martin-Fernandez, M., C. Alberola-Lopez, J. Ruiz-Alzola, and C-F. Westin, "Sequential anisotropic Wiener filtering applied to 3D MRI data", Magnetic resonance imaging, vol. 25, no. 2: Elsevier, pp. 278–292, 2007.
Alberola-Lopez, C., and M. Martin-Fernandez, "A simple test of equality of time series", Signal processing, vol. 83, no. 6: Elsevier, pp. 1343–1348, 2003.