Publications

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Book Chapter
San Jose-Estepar, R., M. Martin-Fernandez, C. Alberola-Lopez, J. Ellsmere, R. Kikinis, and C-F. Westin, "Freehand Ultrasound Reconstruction Based on ROI Prior Modeling and Normalized Convolution", Lecture Notes in Computer Science, vol. 2879: Berlin: Springer-Verlag, 1973-, pp. 382–390, 2003.
San Jose-Estepar, R., M. Martin-Fernandez, C. Alberola-Lopez, J. Ellsmere, R. Kikinis, and C-F. Westin, "Freehand Ultrasound Reconstruction Based on ROI Prior Modeling and Normalized Convolution", Lecture Notes in Computer Science, vol. 2879: Berlin: Springer-Verlag, 1973-, pp. 382–390, 2003.
González-Jaime, L., M. Nachtegeal, E. Kerre, G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Parametric Image Restoration Using Consensus: An Application to Nonstationary Noise Filtering", Pattern Recognition and Image Analysis: Springer Berlin Heidelberg, pp. 358–365, 2013.
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.
Westin, C-F., M. Martin-Fernandez, C. Alberola-Lopez, J. Ruiz-Alzola, and H. Knutsson, "Tensor field regularization using normalized convolution and markov random fields in a bayesian framework", Visualization and Processing of Tensor Fields: Springer Berlin Heidelberg, pp. 381–398, 2006.
Conference Paper
González-Jaime, L., M. Nachtegeal, E. Kerre, G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Applying a parametric approach for the task of nonstationary noise removal with missing information", Computational Cybernetics (ICCC), 2013 IEEE 9th International Conference on: IEEE, pp. 23–28, 2013.
de Luis-García, R., A. C Lopez, G. Kindlmann, and C-F. Westin, "Automatic segmentation of white matter structures from DTI using tensor invariants and tensor orientation", Proc. Intl. Soc. Mag. Reson. Med, 2009.
Zhang, H., P. Casaseca-de-la-Higuera, C. Luo, Q. Wang, M. Kitchin, A. Parmley, and J. Monge-Alvarez, "Systematic infrared image quality improvement using deep learning based techniques", Remote Sensing Technologies and Applications in Urban Environments: International Society for Optics and Photonics, 2016.
Conference Proceedings
Veraart, J., S. Winzeck, Á. Planchuelo-Gómez, B. Fricke, E. N. Kornaropoulos, H. Merisaari, T. Pieciak, Y. Zou, and M. Descoteaux, "Assessing the variability of brain diffusion MRI preprocessing pipelines using a Region-of-Interest analysis", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 5015, 2023.
Aja-Fernández, S., and K. Krissian, "An unbiased Non-Local Means scheme for DWI filtering", Proceedings of the Medical Image Computing and Computer Assisted Intervention: Workshop on Computational Diffusion MRI, pp. 277–284, 2008.
Journal Article
Pourdarbani, R., S. Sabzi, D. Kalantari, R. Karimzadeh, E. Ilbeygi, and J. I. Arribas, "Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data", Biosystems Engineering, vol. 195, pp. 136–151, 2020.
Pourdarbani, R., S. Sabzi, D. Kalantari, R. Karimzadeh, E. Ilbeygi, and J. I. Arribas, "Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data", Biosystems Engineering, vol. 195, pp. 136–151, 2020.
Pourdarbani, R., S. Sabzi, D. Kalantari, J. Luis Hernández-Hernández, and J. I. Arribas, "A Computer Vision System Based on Majority-Voting Ensemble Neural Network for the Automatic Classification of Three Chickpea Varieties", Foods, vol. 9, pp. 113, 2020.
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.
Abbaspour-Gilandeh, Y., S. Sabzi, F. Azadshahraki, R. Karimzadeh, E. Ilbeygi, and J. I. Arribas, "Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data", Journal of Agricultural Sciences, vol. 26, pp. 339–348, 2020.
Pourdarbani, R., S. Sabzi, D. Kalantari, and J. I. Arribas, "Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different maturation stages", Chemometrics and Intelligent Laboratory Systems, pp. 104147, 2020.
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.
González-Jaime, L., G. Vegas-Sánchez-Ferrero, E. E. Kerre, and S. Aja-Fernández, "Spatially-variant noise filtering in Magnetic Resonance Imaging: A Consensus-based approach", Knowledge-Based Systems, 2016.
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.
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, vol. 77, issue 26676, 2018.