Jose L Marroquin
Overview
Explore the profile of Jose L Marroquin including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
12
Citations
39
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Estrada J, Marroquin J, Medina O
Sci Rep
. 2017 Jul;
7(1):6727.
PMID: 28751782
In optics, when interferograms or digital holograms are recorded and their phase is recovered, it is common to obtain a wrapped phase with some errors, noise and artifacts such as...
2.
Ferizi U, Scherrer B, Schneider T, Alipoor M, Eufracio O, Fick R, et al.
NMR Biomed
. 2017 Jun;
30(9.
PMID: 28643354
A large number of mathematical models have been proposed to describe the measured signal in diffusion-weighted (DW) magnetic resonance imaging (MRI). However, model comparison to date focuses only on specific...
3.
Marroquin J, Mendoza-Montoya O, Biscay R, Ruiz-Correa S, Harmony T, Fernandez T
J Neurosci Methods
. 2013 Feb;
214(2):233-45.
PMID: 23416134
In this paper we propose an approach for the extraction of features that differentiate two populations or two experimental conditions in a neurophysiological experiment. These features consist of summarizing variables...
4.
Marroquin J, Biscay R, Ruiz-Correa S, Alba A, Ramirez R, Armony J
Neuroimage
. 2012 Feb;
59(3):3061-74.
PMID: 22351954
A new method for detecting activations in random fields, which may be useful for addressing the issue of multiple comparisons in neuroimaging, is presented. This method is based on some...
5.
Marroquin J, Biscay R, Ruiz-Correa S, Alba A, Ramirez R, Armony J
Neuroimage
. 2011 Apr;
56(4):1954-67.
PMID: 21497660
A new method for detecting activations in random fields, which may be useful for addressing the issue of multiple comparisons in neuroimaging, is presented. This method is based on some...
6.
Pena J, Marroquin J
IEEE Trans Biomed Eng
. 2010 Dec;
58(4):1044-54.
PMID: 21156387
This paper presents a new method for the reconstruction of current sources for the electroencephalography (EEG) inverse problem, which produces reconstructed sources, which are confined to a few anatomical regions....
7.
Angulo C, Marroquin J, Rivera M
Appl Opt
. 2008 Aug;
47(22):4106-15.
PMID: 18670568
We present a method based on Bayesian estimation with prior Markov random field models for segmentation of range images of polyhedral objects. This method includes new ways to determine the...
8.
Rivera M, Ocegueda O, Marroquin J
IEEE Trans Image Process
. 2007 Dec;
16(12):3047-57.
PMID: 18092602
We present a new Markov random field (MRF) based model for parametric image segmentation. Instead of directly computing a label map, our method computes the probability that the observed data...
9.
Jian B, Vemuri B, Marroquin J
Inf Process Med Imaging
. 2007 Mar;
19:504-15.
PMID: 17354721
Automatic multi-modal image registration is central to numerous tasks in medical imaging today and has a vast range of applications e.g., image guidance, atlas construction, etc. In this paper, we...
10.
Alba A, Marroquin J, Pena J, Harmony T, Gonzalez-Frankenberger B
J Neurosci Methods
. 2006 Dec;
161(1):166-82.
PMID: 17150253
In this paper, we present a method for the study of synchronization patterns measured from EEG scalp potentials in psychophysiological experiments. This method is based on various techniques: a time-frequency...