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Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays
(Neural Information Processing Systems Foundation, 2017)
Recently, linear formulations and convex optimization methods have been proposed to predict diffusion-weighted Magnetic Resonance Imaging (dMRI) data given estimates of brain connections generated using tractography ...
Dual-season and full-polarimetric C band SAR assessment for vegetation mapping in the Amazon várzea wetlands
(2016-03-01)
This study answered the following questions: 1) Is polarimetric C-band SAR (PolSAR) more efficient than dual-polarization (dual-pol) C-band SAR for mapping várzea floodplain vegetation types, when using images of a single ...
Adaptive filtering of interference fringes by polar transformation and empirical mode decomposition
(OSA - The Optical Society, 2018)
We designed an adaptive filter based on empirical mode decomposition for the removal of fringes in an interference microscopy image. Promising results show the possibility for extended depth-of-field imaging. © 2018 The Author (s)
DeepSPIO: Super paramagnetic iron oxide particle quantification using deep learning in magnetic resonance imaging
(2019)
The susceptibility of Super Paramagnetic Iron Oxide (SPIO) particles makes them a useful contrast agent for different purposes in MRI. These particles are typically quantified with relaxometry or by measuring the inhomogeneities ...
The use of discrete Markov random fields in reservoir characterization
(Elsevier Science BvAmsterdamHolanda, 2001)
A novel method for estimating the number of speakers based on generalized eigenvalue-vector decomposition and adaptive wavelet transform by using K-means clustering
(Springer, 2020)
The aim of this article is estimating the number of simultaneous speakers from the overlapped speech signals. The percentage of correct number of speakers is an important factor for the proposed algorithm. The proposed ...