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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.
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.
Portillo-Garcia, J., J. I. Trueba-Santander, G. de Miguel-Vela, and C. Alberola-Lopez, "Efficient multispectral texture segmentation using multivariate statistics", IEE Proceedings-Vision, Image and Signal Processing, vol. 145, no. 5: IEE, pp. 357–364, 1998.
Portilla, J., A. Tristán-Vega, and I. W. Selesnick, "Efficient and Robust Image Restoration Using Multiple-Feature L2-Relaxed Sparse Analysis Priors", IEEE Transactions on Image Processing, vol. 24, pp. 5046-5059, Dec, 2015.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "White Matter Alterations in Chronic Migraine: A Diffusion Tensor Imaging and Structural Connectivity Study", 19th International Headache Congress International Headache Society, Dublin, Ireland, Cephalalgia, 2019.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, M. Rodríguez, S. Aja-Fernández, and R. de Luis-García, "Gray Matter Structural Alterations in Chronic and Episodic Migraine: A Morphometric Magnetic Resonance Imaging Study", Pain Medicine, 2020.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "Structural connectivity alterations in chronic and episodic migraine: A diffusion magnetic resonance imaging connectomics study", Cephalalgia, vol. 40, issue 4, pp. 367-383, 2020.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "White matter changes in chronic and episodic migraine: a diffusion tensor imaging study", The Journal of Headache and Pain, vol. 21, issue 1, pp. 1, 2020.
Planchuelo-Gómez, Á., S. Aja-Fernández, D. García-Azorín, Á. L. Guerrero, and R. de Luis-García, "Fewer number of gradient directions in diffusion MRI can be counterbalanced with higher sample size: a migraine clinical study", ISMRM 28th annual meeting, vol. 4550, 2020.
Planchuelo-Gómez, Á., A. Lubeiro, P. Núñez-Novo, J. Gomez-Pilar, R. de Luis-García, P. del Valle, Ó. Martín-Santiago, A. Pérez-Escudero, and V. Molina, "Identificacion of MRI-based psychosis subtypes: Replication and refinement", Progress in Neuro-Psychopharmacology and Biological Psychiatry, vol. 100, pp. 109907, 2020.
Planchuelo-Gómez, Á., R. de Luis-García, A. Tristán-Vega, D. García-Azorín, Á. L. Guerrero, and S. Aja-Fernández, "AMURA with standard single-shell acquisition can detect changes beyond the Diffusion Tensor: a migraine clinical study", ISMRM 28th annual meeting, vol. 4549, 2020.
Planchuelo-Gómez, Á., P. Odriozola-González, M. Jesús Irurtia, and R. de Luis-García, "Longitudinal evaluation of the psychological impact of the COVID-19 crisis in Spain", Journal of Affective Disorders, vol. 277, pp. 842-849, 2020.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, R. de Luis-García, M. Rodríguez, and S. Aja-Fernández, "Alternative Microstructural Measures to Complement Diffusion Tensor Imaging in Migraine Studies with Standard MRI Acquisition", Brain Sciences, vol. 10, pp. 711, 2020.
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. 39, issue 10, pp. 2015-2029, 2017.
Pieciak, T., I. Rabanillo-Viloria, and S. Aja-Fernández, "Bias Correction for Non-Stationary Noise Filtering in MRI", 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI), Washington DC, 2018.
Pieciak, T., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Variance Stabilization of Noncentral-Chi Data: Application to Noise Estimation in MRI", 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Prague, 2016, Prague, Czech Republic, 2016.
Pieciak, T., F. Bogusz, A. Tristán-Vega, R. de Luis-García, and S. Aja-Fernández, "Single-Shell Return-to-the-Origin Probability Diffusion Mri Measure Under a Non-Stationary Rician Distributed Noise", 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019): IEEE, 2019.
Peña-Nogales, Ó., R. de Luis-García, S. Aja-Fernández, Y. Zhang, J. H. Holmes, and D. Hernando, "Optimal design of motion-compensated diffusion gradient waveforms ", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 3340, 2017.
Peña-Nogales, Ó., D. Hernando, S. Aja-Fernández, and R. de Luis-García, "Determination of the optimal set of b-values for ADC mapping under a Rician noise assumption", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 3341, 2017.
Peña-Nogales, Ó., Y. Zhang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Reduced Eddy Current induced image distortions and Peripheral Nerve Stimulation based on the Optimal Diffusion-weighting Gradient Waveform Design (ODGD) formulation", ISMRM 27th annual meeting, vol. 3488, 2019.
Peña-Nogales, Ó., Y. Zhang, X. Wang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling", Magnetic resonance in medicine, vol. 81, pp. 989–1003, 2019.
Peña-Nogales, Ó., Y. Zhang, X. Wang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling", Magnetic resonance in medicine, 2018.
Peña-Nogales, O., Y. Zhang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimal Diffusion-weighting Gradient Waveform Design (ODGD): Formulation and Experimental Validation", International Society of Magnetic Resonance in Medicine 26th Annual Meeting and Exhibition, Paris, France, pp. 685, 2018.
Peña-Nogales, Ó., T. Michael Ellmore, R. de Luis-García, J. Suescun, M. Caryn Schiess, and L. Giancardo, "Longitudinal Connectomes as a Candidate Progression Marker for Prodromal Parkinson's Disease", Frontiers in Neuroscience, vol. 12, pp. 967, 2018.