Year |
Citation |
Score |
2024 |
Reinen JM, Polosecki P, Castro E, Corcoran CM, Cecchi GA, Colibazzi T. Multimodal fusion of brain signals for robust prediction of psychosis transition. Schizophrenia (Heidelberg, Germany). 10: 54. PMID 38773120 DOI: 10.1038/s41537-024-00464-2 |
0.361 |
|
2024 |
Wannan CMJ, Nelson B, Addington J, Allott K, Anticevic A, Arango C, Baker JT, Bearden CE, Billah T, Bouix S, Broome MR, Buccilli K, Cadenhead KS, Calkins ME, Cannon TD, ... ... Castro E, et al. Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis. Schizophrenia Bulletin. PMID 38451304 DOI: 10.1093/schbul/sbae011 |
0.306 |
|
2020 |
Polosecki P, Castro E, Rish I, Pustina D, Warner JH, Wood A, Sampaio C, Cecchi GA. Resting-state connectivity stratifies premanifest Huntington's disease by longitudinal cognitive decline rate. Scientific Reports. 10: 1252. PMID 31988371 DOI: 10.1038/S41598-020-58074-8 |
0.385 |
|
2018 |
Castro E, Polosecki P, Rish I, Pustina D, Warner JH, Wood A, Sampaio C, Cecchi GA. Baseline multimodal information predicts future motor impairment in premanifest Huntington's disease. Neuroimage. Clinical. 19: 443-453. PMID 29984153 DOI: 10.1016/J.Nicl.2018.05.008 |
0.347 |
|
2017 |
Gupta CN, Castro E, Rachkonda S, van Erp TGM, Potkin S, Ford JM, Mathalon D, Lee HJ, Mueller BA, Greve DN, Andreassen OA, Agartz I, Mayer AR, Stephen J, Jung RE, et al. Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia. Frontiers in Psychiatry. 8: 179. PMID 29018368 DOI: 10.3389/Fpsyt.2017.00179 |
0.544 |
|
2017 |
Polosecki P, Castro E, Wood A, Warner JH, Rish I, Cecchi GA. Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease Ibm Journal of Research and Development. 61: 4:1-4:10. DOI: 10.1147/Jrd.2017.2648700 |
0.36 |
|
2016 |
Castro E, Hjelm RD, Plis S, Dihn L, Turner J, Calhoun V. Deep Independence Network Analysis of Structural Brain Imaging: Application to Schizophrenia. Ieee Transactions On Medical Imaging. PMID 26891483 DOI: 10.1109/Tmi.2016.2527717 |
0.546 |
|
2015 |
Du Y, Pearlson GD, Liu J, Sui J, Yu Q, He H, Castro E, Calhoun VD. A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. Neuroimage. 122: 272-280. PMID 26216278 DOI: 10.1016/J.Neuroimage.2015.07.054 |
0.558 |
|
2015 |
Castro E, Ulloa A, Plis SM, Turner JA, Calhoun VD. Generation of synthetic structural magnetic resonance images for deep learning pre-training Proceedings - International Symposium On Biomedical Imaging. 2015: 1057-1060. DOI: 10.1109/ISBI.2015.7164053 |
0.363 |
|
2014 |
Arbabshirani MR, Castro E, Calhoun VD. Accurate classification of schizophrenia patients based on novel resting-state fMRI features. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 6691-4. PMID 25571531 DOI: 10.1109/EMBC.2014.6945163 |
0.692 |
|
2014 |
Sui J, Castro E, He H, Bridwell D, Du Y, Pearlson GD, Jiang T, Calhoun VD. Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 3889-92. PMID 25570841 DOI: 10.1109/EMBC.2014.6944473 |
0.606 |
|
2014 |
Castro E, Gupta CN, Martínez-Ramón M, Calhoun VD, Arbabshirani MR, Turner J. Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 1513-6. PMID 25570257 DOI: 10.1109/EMBC.2014.6943889 |
0.69 |
|
2014 |
Castro E, Gómez-Verdejo V, Martínez-Ramón M, Kiehl KA, Calhoun VD. A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: application to schizophrenia. Neuroimage. 87: 1-17. PMID 24225489 DOI: 10.1016/J.Neuroimage.2013.10.065 |
0.655 |
|
2014 |
Silva RF, Castro E, Gupta CN, Cetin M, Arbabshirani M, Potluru VK, Plis SM, Calhoun VD. The tenth annual MLSP competition: Schizophrenia classification challenge Ieee International Workshop On Machine Learning For Signal Processing, Mlsp. DOI: 10.1109/MLSP.2014.6958889 |
0.683 |
|
2013 |
Sui J, He H, Pearlson GD, Adali T, Kiehl KA, Yu Q, Clark VP, Castro E, White T, Mueller BA, Ho BC, Andreasen NC, Calhoun VD. Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia. Neuroimage. 66: 119-32. PMID 23108278 DOI: 10.1016/J.Neuroimage.2012.10.051 |
0.624 |
|
2011 |
Castro E, MartÃnez-Ramón M, Pearlson G, Sui J, Calhoun VD. Characterization of groups using composite kernels and multi-source fMRI analysis data: application to schizophrenia. Neuroimage. 58: 526-36. PMID 21723948 DOI: 10.1016/J.Neuroimage.2011.06.044 |
0.632 |
|
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