Jonathan M. Young
De Crespigny Park
London, ENG, United Kingdom
London, ENG, United Kingdom
Last Updated: 09/26/2026
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Found 16 publications
Preparing for your radiology future with AI: reflections from experience.
Journal: Clinical radiology
Published: November 11, 2025
Image processing and supervised machine learning for retinal microglia characterization in senescence.
Journal: Methods in cell biology
Published: February 01, 2024
Radiology training. What good looks like, now and in the future.
Journal: Clinical radiology
Published: July 23, 2022
Graph Convolutional Networks Reveal Network-Level Functional Dysconnectivity in Schizophrenia.
Journal: Schizophrenia bulletin
Published: May 15, 2022
Functional Magnetic Resonance Imaging Connectivity Accurately Distinguishes Cases With Psychotic Disorders From Healthy Controls, Based on Cortical Features Associated With Brain Network Development.
Journal: Biological psychiatry. Cognitive neuroscience and neuroimaging
Published: March 18, 2020
Resting state fMRI based multilayer network configuration in patients with schizophrenia.
Journal: NeuroImage. Clinical
Published: September 13, 2019
Detecting schizophrenia at the level of the individual: relative diagnostic value of whole-brain images, connectome-wide functional connectivity and graph-based metrics.
Journal: Psychological medicine
Published: August 09, 2019
Draft Genome Sequence of the Predatory Marine Bacterium Halobacteriovorax sp. Strain JY17.
Journal: Genome announcements
Published: January 06, 2018
What's in a number? Recommending practicality in the DATA 2000 patient limits.
Journal: Journal of opioid management
Published: August 31, 2016
Using machine learning to predict outcomes in psychosis.
Journal: The lancet. Psychiatry
Published: July 27, 2016
Last Updated: 09/26/2026