J. John Mann
Orcid: 0000-0002-0265-6586
According to our database1,
J. John Mann
authored at least 25 papers
between 2003 and 2025.
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Bibliography
2025
Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model.
J. Am. Medical Informatics Assoc., 2025
2024
Extracting Social Support and Social Isolation Information from Clinical Psychiatry Notes: Comparing a Rule-based NLP System and a Large Language Model.
CoRR, 2024
2022
Source-to-Target Automatic Rotating Estimation (STARE) - A publicly-available, blood-free quantification approach for PET tracers with irreversible kinetics: Theoretical framework and validation for [<sup>18</sup>F]FDG.
NeuroImage, 2022
2021
Extracting social determinants of health from electronic health records using natural language processing: a systematic review.
J. Am. Medical Informatics Assoc., 2021
Extracting Social Isolation Information From Psychiatric Notes in the Electronic Health Records.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2019
Quantifying Brain [<sup>18</sup>F]FDG Uptake Noninvasively by Combining Medical Health Records and Dynamic PET Imaging Data.
IEEE J. Biomed. Health Informatics, 2019
Molecular docking, dynamics simulations and 3D-QSAR modeling of arylpiperazine derivatives of 3, 5-dioxo-(2H, 4H)-1, 2, 4-triazine as 5-HT<sub>1A</sub>R agonists.
Comput. Biol. Chem., 2019
Multicenter Validation Of Population-Based Input Function With Non-Linear Mixed Effect Modeling For Voxel-Wise Quantification Of [<sup>18</sup>F]Fdg Metabolic Rate.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2017
Estimation of the binding potential BP<sub>ND</sub> without a reference region or blood samples for brain PET studies.
NeuroImage, 2017
2015
Toward Noninvasive Quantification of Brain Radioligand Binding by Combining Electronic Health Records and Dynamic PET Imaging Data.
IEEE J. Biomed. Health Informatics, 2015
Non-invasive quantification of brain [<sup>18</sup>F]-FDG uptake by combining medical health records and dynamic PET imaging data.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Genetic variation in brain-derived neurotrophic factor val66met allele is associated with altered serotonin-1A receptor binding in human brain.
NeuroImage, 2014
Combining brain imaging data with electronic health records to non-invasively quantify [<sup>11</sup>C]DASB binding.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2010
A voxel-based clustering approach for the automatic selection of testing regions in the simultaneous estimation of input functions in PET.
NeuroImage, 2010
Binding saturation with the serotonin 1A receptor agonist [H-3]CUMI-101 and the antagonist [H-3]MPPF, in awake rats.
NeuroImage, 2010
Evaluating sources of variation in kinetic modeling using an input function via the bootstrap.
NeuroImage, 2010
NeuroImage, 2010
NeuroImage, 2010
In vivo variation in metabotropic glutamate receptor subtype 5 binding using [11C]ABP688.
NeuroImage, 2010
2009
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.
NeuroImage, 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2004
OS-EM and FBP reconstructions at low count rates: effect on 3D PET studies of [<sup>11</sup>C] WAY-100635.
NeuroImage, 2004
2003
Sex genes for genomic analysis in human brain: internal controls for comparison of probe level data extraction.
BMC Bioinform., 2003