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Items: 6

1.

Connectome sorting by consensus clustering increases separability in group neuroimaging studies.

Rasero J, Diez I, Cortes JM, Marinazzo D, Stramaglia S.

Netw Neurosci. 2019 Feb 1;3(2):325-343. doi: 10.1162/netn_a_00074. eCollection 2019.

2.

Raman spectroscopy monitoring of MCF10A cells irradiated by protons at clinical doses.

Lasalvia M, Perna G, Manti L, Rasero J, Stramaglia S, Capozzi V.

Int J Radiat Biol. 2019 Feb;95(2):207-214. doi: 10.1080/09553002.2019.1547849. Epub 2019 Jan 4.

PMID:
30496011
3.

Predicting functional networks from region connectivity profiles in task-based versus resting-state fMRI data.

Rasero J, Aerts H, Ontivero Ortega M, Cortes JM, Stramaglia S, Marinazzo D.

PLoS One. 2018 Nov 12;13(11):e0207385. doi: 10.1371/journal.pone.0207385. eCollection 2018.

4.

Consensus clustering approach to group brain connectivity matrices.

Rasero J, Pellicoro M, Angelini L, Cortes JM, Marinazzo D, Stramaglia S.

Netw Neurosci. 2017 Oct 1;1(3):242-253. doi: 10.1162/NETN_a_00017.

5.

Multivariate regression analysis of structural MRI connectivity matrices in Alzheimer's disease.

Rasero J, Amoroso N, La Rocca M, Tangaro S, Bellotti R, Stramaglia S; Alzheimer’s Disease Neuroimaging Initiative.

PLoS One. 2017 Nov 14;12(11):e0187281. doi: 10.1371/journal.pone.0187281. eCollection 2017.

6.

Group-Level Progressive Alterations in Brain Connectivity Patterns Revealed by Diffusion-Tensor Brain Networks across Severity Stages in Alzheimer's Disease.

Rasero J, Alonso-Montes C, Diez I, Olabarrieta-Landa L, Remaki L, Escudero I, Mateos B, Bonifazi P, Fernandez M, Arango-Lasprilla JC, Stramaglia S, Cortes JM; Alzheimer’s Disease Neuroimaging Initiative.

Front Aging Neurosci. 2017 Jul 7;9:215. doi: 10.3389/fnagi.2017.00215. eCollection 2017.

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