AGH University of Science and Technology-ko ikertzaileekin lankidetzan egindako argitalpenak (24)

2021

  1. 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)

  2. On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge

    NeuroImage, Vol. 240

  3. Preface

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Q-Space Quantitative Diffusion MRI Measures Using a Stretched-Exponential Representation

    Mathematics and Visualization

  5. The sensitivity of diffusion MRI to microstructural properties and experimental factors

    Journal of Neuroscience Methods, Vol. 347

2020

  1. Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge

    Mathematics and Visualization (Springer Science and Business Media Deutschland GmbH), pp. 195-208

  2. Micro-structure diffusion scalar measures from reduced MRI acquisitions

    PLoS ONE, Vol. 15, Núm. 3

2017

  1. 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

  1. Variance stabilization of noncentral-chi data: Application to noise estimation in MRI

    Proceedings - International Symposium on Biomedical Imaging

2015

  1. Spatially variant noise estimation in MRI: A homomorphic approach

    Medical Image Analysis, Vol. 20, Núm. 1, pp. 184-197