Multimodal fusion of brain imaging data: a key to finding the missing link (s) in complex mental illness
VD Calhoun, J Sui - Biological psychiatry: cognitive neuroscience and …, 2016 - Elsevier
It is becoming increasingly clear that combining multimodal brain imaging data provides
more information for individual subjects by exploiting the rich multimodal information that …
more information for individual subjects by exploiting the rich multimodal information that …
A brief review on multi-task learning
KH Thung, CY Wee - Multimedia Tools and Applications, 2018 - Springer
Abstract Multi-task learning (MTL), which optimizes multiple related learning tasks at the
same time, has been widely used in various applications, including natural language …
same time, has been widely used in various applications, including natural language …
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
Abstract The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA)
Consortium is a collaborative network of researchers working together on a range of large …
Consortium is a collaborative network of researchers working together on a range of large …
[HTML][HTML] Canonical correlation analysis and partial least squares for identifying brain–behavior associations: A tutorial and a comparative study
Canonical correlation analysis (CCA) and partial least squares (PLS) are powerful
multivariate methods for capturing associations across 2 modalities of data (eg, brain and …
multivariate methods for capturing associations across 2 modalities of data (eg, brain and …
The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception
MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2013 - Elsevier
Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing,
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …
Brain imaging genomics: integrated analysis and machine learning
L Shen, PM Thompson - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
Brain imaging genomics is an emerging data science field, where integrated analysis of
brain imaging and genomics data, often combined with other biomarker, clinical, and …
brain imaging and genomics data, often combined with other biomarker, clinical, and …
2014 Update of the Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception
MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2015 - Elsevier
Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing,
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …
[HTML][HTML] ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide
In this review, we discuss recent work by the ENIGMA Consortium (http://enigma. ini. usc.
edu)–a global alliance of over 500 scientists spread across 200 institutions in 35 countries …
edu)–a global alliance of over 500 scientists spread across 200 institutions in 35 countries …
The challenges and promise of neuroimaging in psychiatry
DEJ Linden - Neuron, 2012 - cell.com
Neuroimaging is central to the quest for a biological foundation of psychiatric diagnosis but
so far has not yielded clinically relevant biomarkers for mental disorders. This review …
so far has not yielded clinically relevant biomarkers for mental disorders. This review …
Imaging genetics and genomics in psychiatry: a critical review of progress and potential
Imaging genetics and genomics research has begun to provide insight into the molecular
and genetic architecture of neural phenotypes and the neural mechanisms through which …
and genetic architecture of neural phenotypes and the neural mechanisms through which …