Publications

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2023
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-Fernandez, S., C. Martin-Martin, T. Pieciak, Á. Planchuelo-Gómez, A. Faiyaz, N. Uddin, A. Tiwari, S. J. Shigwan, T. Zheng, Z. Cao, et al., "Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 2786, 2023.
Aja-Fernandez, S., C. Martin-Martin, T. Pieciak, Á. Planchuelo-Gómez, A. Faiyaz, N. Uddin, A. Tiwari, S. J. Shigwan, T. Zheng, Z. Cao, et al., "Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 2786, 2023.
Aja-Fernández, S., C. Martín-Martín, Á. Planchuelo-Gómez, A. Faiyaz, M. Nasir Uddin, G. Schifitto, A. Tiwari, S. J. Shigwan, R. Kumar Singh, T. Zheng, et al., "Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies", NeuroImage: Clinical, vol. 39, pp. 103483, 2023.
Aja-Fernández, S., C. Martín-Martín, Á. Planchuelo-Gómez, A. Faiyaz, M. Nasir Uddin, G. Schifitto, A. Tiwari, S. J. Shigwan, R. Kumar Singh, T. Zheng, et al., "Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies", NeuroImage: Clinical, vol. 39, pp. 103483, 2023.
2021
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", bioRxiv, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
2020
Martinez-Alpiste, I., P. Casaseca-de-la-Higuera, J-M. Alcaraz-Calero, C. Grecos, and Q. Wang, "Smartphone-based object recognition with embedded machine learning intelligence for unmanned aerial vehicles", Journal of Field Robotics, vol. 37, no. 3, pp. 404–420, 2020.
2019
Martinez-Alpiste, I., P. Casaseca-de-la-Higuera, J-M. Alcaraz-Calero, C. Grecos, and Q. Wang, "Benchmarking Machine-Learning-Based Object Detection on a UAV and Mobile Platform", 2019 IEEE Wireless Communications and Networking Conference (WCNC): IEEE, pp. 1–6, 2019.
Irondi, I., Q. Wang, C. Grecos, J. M. Alcaraz Calero, and P. Casaseca-de-la-Higuera, "Efficient QoE-Aware Scheme for Video Quality Switching Operations in Dynamic Adaptive Streaming", ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 15, pp. 17, 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.
2018
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.
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.
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.
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.
Mi, Y., C. Luo, G. Min, P. Casaseca-de-la-Higuera, and Z. Wang, "Towards Optimal Power Splitting in Simultaneous Power and Information Transmission", 2018 IEEE Global Communications Conference (GLOBECOM): IEEE, pp. 1–6, 2018.
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.
2016
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.
2015
Fuster, A., T. Dela-Haije, A. Tristán-Vega, B. Plantinga, C-F. Westin, and L. Florack, "Adjugate Diffusion Tensors for Geodesic Tractography in White Matter", Journal of Mathematical Imaging and Vision, vol. 54, pp. 1–14, 2015.
2014
Whitford, T. J., S. Woo Lee, J. S. Oh, R. de Luis-García, P. Savadjiev, J. L. Alvarado, C-F. Westin, M. Niznikiewicz, P. G. Nestor, and R. W. McCarley, "Localized abnormalities in the cingulum bundle in patients with schizophrenia: A Diffusion Tensor tractography study", NeuroImage: Clinical, vol. 5, pp. 93–99, 2014.
Whitford, T. J., S. Woo Lee, J. S. Oh, R. de Luis-García, P. Savadjiev, J. L. Alvarado, C-F. Westin, M. Niznikiewicz, P. G. Nestor, and R. W. McCarley, "Localized abnormalities in the cingulum bundle in patients with schizophrenia: A Diffusion Tensor tractography study", NeuroImage: Clinical, vol. 5, pp. 93–99, 2014.
2013
Ruiz-Alzola, J., C. Alberola-Lopez, and C-F. Westin, "Advanced signal processing methods for biomedical imaging", International journal of biomedical imaging, vol. 2013: Hindawi Publishing Corporation, 2013.
de Luis-García, R., C-F. Westin, and C. Alberola-Lopez, "Geometrical constraints for robust tractography selection", NeuroImage, vol. 81: Academic Press, pp. 26–48, 2013.
2012
Tristán-Vega, A., S. Aja-Fernández, and C-F. Westin, "Deblurring of probabilistic ODFs in quantitative diffusion MRI", Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on: IEEE, pp. 932–935, 2012.
Tristán-Vega, A., V. García-Pérez, S. Aja-Fernández, and C-F. Westin, "Efficient and robust nonlocal means denoising of MR data based on salient features matching", Computer methods and programs in biomedicine, vol. 105, no. 2: Elsevier, pp. 131–144, 2012.

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