J. John Mann

Orcid: 0000-0002-0265-6586

According to our database1, J. John Mann authored at least 24 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Suicide risk detection with PET WAY and DASB.
NeuroImage, 2010

Evaluation of volume-based and surface-based brain image registration methods.
NeuroImage, 2010

Evaluation of SEP-225289 transporter occupancy using positron emission tomography.
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

A new method for assessing PET-MRI coregistration.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

2006
Quantitative wavelet domain image processing of dynamic PET data.
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


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