M J Rosa
Overview
Explore the profile of M J Rosa including associated specialties, affiliations and a list of published articles.
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Articles
11
Citations
416
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0
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Recent Articles
1.
Schrouff J, Monteiro J, Portugal L, Rosa M, Phillips C, Mourao-Miranda J
Neuroinformatics
. 2018 Jan;
16(1):117-143.
PMID: 29297140
Pattern recognition models have been increasingly applied to neuroimaging data over the last two decades. These applications have ranged from cognitive neuroscience to clinical problems. A common limitation of these...
2.
Taylor J, Matthews N, Michie P, Rosa M, Garrido M
Neuroimage Clin
. 2017 Jun;
15:264-273.
PMID: 28560151
Schizophrenia is a complex psychiatric disorder, typically diagnosed through symptomatic evidence collected through patient interview. We aim to develop an objective biologically-based computational tool which aids diagnosis and relies on...
3.
Silva C, Matos J, Rosa M
Water Sci Technol
. 2016 Dec;
74(12):2935-2945.
PMID: 27997403
High quality services of wastewater treatment require a continuous assessment and improvement of the technical, environmental and economic performance. This paper demonstrates a comprehensive approach for benchmarking wastewater treatment plants...
4.
Silva C, Matos J, Rosa M
J Environ Manage
. 2016 Oct;
184(Pt 2):307-317.
PMID: 27726898
Sludge (or biosolids) management is highly complex and has a significant cost associated with the biosolids disposal, as well as with the energy and flocculant consumption in the sludge processing...
5.
Schrouff J, Rosa M, Rondina J, Marquand A, Chu C, Ashburner J, et al.
Neuroinformatics
. 2013 Feb;
11(3):319-37.
PMID: 23417655
In the past years, mass univariate statistical analyses of neuroimaging data have been complemented by the use of multivariate pattern analyses, especially based on machine learning models. While these allow...
6.
Rosa M, Friston K, Penny W
J Neurosci Methods
. 2012 May;
208(1):66-78.
PMID: 22561579
Dynamic causal modelling (DCM) was originally proposed as a hypothesis driven procedure in which a small number of neurobiologically motivated models are compared. Model comparison in this context usually proceeds...
7.
Rosa M, Daunizeau J, Friston K
J Integr Neurosci
. 2011 Jan;
9(4):453-76.
PMID: 21213414
The diverse nature of cerebral activity, as measured using neuroimaging techniques, has been recognised long ago. It seems obvious that using single modality recordings can be limited when it comes...
8.
Rosa M, Kilner J, Blankenburg F, Josephs O, Penny W
Neuroimage
. 2009 Sep;
49(2):1496-509.
PMID: 19778619
Previous studies using combined electrical and hemodynamic measurements of brain activity, such as EEG and (BOLD) fMRI, have yielded discrepant results regarding the relationship between neuronal activity and the associated...
9.
Rosa M, Bestmann S, Harrison L, Penny W
Neuroimage
. 2009 Sep;
49(1):217-24.
PMID: 19732837
This technical note describes the construction of posterior probability maps (PPMs) for Bayesian model selection (BMS) at the group level. This technique allows neuroimagers to make inferences about regionally specific...
10.
Rosa M, Ferreira R, Teixeira A
J Agric Food Chem
. 2000 Nov;
48(11):5432-9.
PMID: 11087497
The proteins from Lathyrus sativus Linn. (chickling vetch or grass pea) seeds were investigated. Protein constitutes approximately 20% of the seed dry weight, >60% of which is composed by globulins...