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Chapter and Conference Paper
Gradient-Based Enhancement Attacks in Biomedical Machine Learning
The prevalence of machine learning in biomedical research is rapidly growing, yet the trustworthiness of such research is often overlooked. While some previous works have investigated the ability of adversaria...
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Article
Open AccessPredicting the future of neuroimaging predictive models in mental health
Predictive modeling using neuroimaging data has the potential to improve our understanding of the neurobiology underlying psychiatric disorders and putatively information interventions. Accordingly, there is a...
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Chapter and Conference Paper
Combining Multiple Atlases to Estimate Data-Driven Map**s Between Functional Connectomes Using Optimal Transport
Connectomics is a popular approach for understanding the brain with neuroimaging data. Yet, a connectome generated from one atlas is different in size, topology, and scale compared to a connectome generated fr...
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Chapter and Conference Paper
Transforming Connectomes to “Any” Parcellation via Graph Matching
Brain connectomes—the structural or functional connections between distinct brain regions—are widely used for neuroimaging studies. However, different ways of brain parcellation are proposed and used by differ...
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Article
Open AccessFunctional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth
Irritability cuts across many pediatric disorders and is a common presenting complaint in child psychiatry; however, its neural mechanisms remain unclear. One core pathophysiological deficit of irritability is...
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Article
A hitchhiker’s guide to working with large, open-source neuroimaging datasets
Large datasets that enable researchers to perform investigations with unprecedented rigor are growing increasingly common in neuroimaging. Due to the simultaneous increasing popularity of open science, these s...
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Chapter and Conference Paper
Data-Driven Map** Between Functional Connectomes Using Optimal Transport
Functional connectomes derived from functional magnetic resonance imaging have long been used to understand the functional organization of the brain. Nevertheless, a connectome is intrinsically linked to the a...
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Chapter and Conference Paper
A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences
Functional connectivity derived from functional magnetic resonance imaging data has been extensively used to characterize individual and group differences. While these connectomes have traditionally been const...
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Chapter and Conference Paper
Dimension Projection Among Languages Based on Pseudo-Relevant Documents for Query Translation
Using top-ranked documents retrieved in response to a query of a user has been shown to be an effective approach to improve the quality of query translation in dictionary-based cross-language information retri...
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Chapter and Conference Paper
SS4MCT: A Statistical Stemmer for Morphologically Complex Texts
There have been multiple attempts to resolve various inflection matching problems in information retrieval. Stemming is a common approach to this end. Among many techniques for stemming, statistical stemming h...
