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07/25/2022
Representational Ethical Model Calibration
Equity is widely held to be fundamental to the ethics of healthcare. In ...
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07/23/2022
Orientation and Context Entangled Network for Retinal Vessel Segmentation
Most of the existing deep learning based methods for vessel segmentation...
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10/12/2021
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction
High-quality data accumulation is now becoming ubiquitous in the health ...
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12/18/2019
Clusters in Explanation Space: Inferring disease subtypes from model explanations
Identification of disease subtypes and corresponding biomarkers can subs...
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09/05/2019
Analyzing Brain Circuits in Population Neuroscience: A Case to Be a Bayesian
Functional connectivity fingerprints are among today's best choices to o...
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02/21/2019
Exploration, inference and prediction in neuroscience and biomedicine
The last decades saw dramatic progress in brain research. These advances...
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12/06/2018
Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis
Since the beginning of the 21st century, the size, breadth, and granular...
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02/28/2018
GraphVar 2.0: A user-friendly toolbox for machine learning on functional connectivity measures
Background: We previously presented GraphVar as a user-friendly MATLAB t...
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10/31/2017
Learning Neural Representations of Human Cognition across Many fMRI Studies
Cognitive neuroscience is enjoying rapid increase in extensive public br...
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08/05/2016
The Future of Data Analysis in the Neurosciences
Neuroscience is undergoing faster changes than ever before. Over 100 yea...
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03/06/2016