[HTML][HTML] The quandary of covarying: A brief review and empirical examination of covariate use in structural neuroimaging studies on psychological variables
Although covarying for potential confounds or nuisance variables is common in
psychological research, relatively little is known about how the inclusion of covariates may …
psychological research, relatively little is known about how the inclusion of covariates may …
Wasserstein distributionally robust optimization: Theory and applications in machine learning
Many decision problems in science, engineering, and economics are affected by uncertain
parameters whose distribution is only indirectly observable through samples. The goal of …
parameters whose distribution is only indirectly observable through samples. The goal of …
Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency
Machine Intelligence (MI) is rapidly becoming an important approach across biomedical
discovery, clinical research, medical diagnostics/devices, and precision medicine. Such …
discovery, clinical research, medical diagnostics/devices, and precision medicine. Such …
Examining the effect of explanation on satisfaction and trust in AI diagnostic systems
Abstract Background Artificial Intelligence has the potential to revolutionize healthcare, and
it is increasingly being deployed to support and assist medical diagnosis. One potential …
it is increasingly being deployed to support and assist medical diagnosis. One potential …
Brain morphological dynamics of procrastination: The crucial role of the self-control, emotional, and episodic prospection network
Z Chen, P Liu, C Zhang, T Feng - Cerebral Cortex, 2020 - academic.oup.com
Globally, about 17% individuals are suffering from the maladaptive procrastination until now,
which impacts individual's financial status, mental health, and even public policy. However …
which impacts individual's financial status, mental health, and even public policy. However …
Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning
Many diseases have no visual cues in the early stages, eluding image-based detection.
Today, osteoarthritis (OA) is detected after bone damage has occurred, at an irreversible …
Today, osteoarthritis (OA) is detected after bone damage has occurred, at an irreversible …
Discovering the gene-brain-behavior link in autism via generative machine learning
Autism is traditionally diagnosed behaviorally but has a strong genetic basis. A genetics-first
approach could transform understanding and treatment of autism. However, isolating the …
approach could transform understanding and treatment of autism. However, isolating the …
Review of structural neuroimaging and genetic findings in autism spectrum disorder–a clinical perspective
M Budisteanu, SM Papuc, A Erbescu… - Reviews in the …, 2024 - degruyter.com
Autism spectrum disorders (ASDs) are neurodevelopmental conditions characterized by
deficits in social relationships and communication and restrictive, repetitive behaviors and …
deficits in social relationships and communication and restrictive, repetitive behaviors and …
Semi-discrete optimal transport: Hardness, regularization and numerical solution
B Taşkesen, S Shafieezadeh-Abadeh… - Mathematical Programming, 2023 - Springer
Semi-discrete optimal transport problems, which evaluate the Wasserstein distance between
a discrete and a generic (possibly non-discrete) probability measure, are believed to be …
a discrete and a generic (possibly non-discrete) probability measure, are believed to be …
A heteromodal word-meaning binding site in the visual word form area under top-down frontoparietal control
The integral capacity of human language together with semantic memory drives the linkage
of words and their meaning, which theoretically is subject to cognitive control. However, it …
of words and their meaning, which theoretically is subject to cognitive control. However, it …