Valladolid
Universidad
AGH University of Science and Technology
Cracovia, PoloniaPublicacións en colaboración con investigadores/as de AGH University of Science and Technology (24)
2023
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Efficient estimation of propagator anisotropy and non-Gaussianity in multishell diffusion MRI with micro-structure adaptive convolution kernels and dual Fourier integral transforms
Magnetic Resonance in Medicine, Vol. 89, Núm. 1, pp. 440-453
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HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding
Medical Image Analysis, Vol. 84
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Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge
NeuroImage, Vol. 277
2022
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Diffusion-relaxation scattered MR signal representation in a multi-parametric sequence
Magnetic Resonance Imaging, Vol. 91, pp. 52-61
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Moment-based representation of the diffusion inside the brain from reduced DMRI acquisitions: Generalized AMURA
Medical Image Analysis, Vol. 77
2021
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Glioma Classification Using Multimodal Radiology and Histology Data
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge
NeuroImage, Vol. 240
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Q-Space Quantitative Diffusion MRI Measures Using a Stretched-Exponential Representation
Mathematics and Visualization
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The sensitivity of diffusion MRI to microstructural properties and experimental factors
Journal of Neuroscience Methods, Vol. 347
2020
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Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge
Mathematics and Visualization (Springer Science and Business Media Deutschland GmbH), pp. 195-208
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Micro-structure diffusion scalar measures from reduced MRI acquisitions
PLoS ONE, Vol. 15, Núm. 3
2019
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Return-to-Axis Probability Calculation from Single-Shell Acquisitions
Mathematics and Visualization
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Single-shell return-to-the-origin probability diffusion mri measure under a non-stationary rician distributed noise
Proceedings - International Symposium on Biomedical Imaging
2018
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Bias correction for non-stationary noise filtering in MRI
Proceedings - International Symposium on Biomedical Imaging
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Robust estimation of the apparent diffusion coefficient invariant to acquisition noise and physiological motion
Magnetic Resonance Imaging, Vol. 53, pp. 123-133
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Scalar diffusion-MRI measures invariant to acquisition parameters: A first step towards imaging biomarkers
Magnetic Resonance Imaging, Vol. 54, pp. 194-213
2017
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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, Núm. 10, pp. 2015-2029
2016
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Variance stabilization of noncentral-chi data: Application to noise estimation in MRI
Proceedings - International Symposium on Biomedical Imaging
2015
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Spatially variant noise estimation in MRI: A homomorphic approach
Medical Image Analysis, Vol. 20, Núm. 1, pp. 184-197