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AI-Powered Gradient Echo Plural Contrast Imaging (AI-GEPCI)-A Comprehensive Neurological Protocol From a Single MRI Scan.

Overview

Authors: Jeramy Lewis1, Manu S. Goyal1, Gregory F. Wu2, Yuyang Hu3, Alexander L. Sukstanskii1, Satya V. V. N. Kothapalli1, Anne H. Cross2, Ulugbek Kamilov3,4, Dmitriy A. Yablonskiy1
ORCID iDs: Jeramy Lewis, Dmitriy A. Yablonskiy
  1. Mallinckrodt Institute of Radiology, Washington University in St. Louis St. Louis Missouri USA
  2. Department of Neurology Washington University in St. Louis St. Louis Missouri USA
  3. Department of Electrical & Systems Engineering Washington University in St. Louis St. Louis Missouri USA
  4. Department of Computer Science & Engineering Washington University in St. Louis St. Louis Missouri USA
Institutions: Washington University in St. Louis (United States)
Journal: Journal of magnetic resonance imaging : JMRI, volume 64, issue 2, pages 346-358
Dates: received 2 April 2025; accepted 9 April 2026; published online 2 May 2026; in print August 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1002/jmri.70345 · PMID 42068292 · PMCID PMC13356385 · OpenAlex W7159965229
Open access: hybrid, a free copy (OpenAlex)
Status: code on request
Categories: structural MRI / diffusion (modality), human (organism), multiple sclerosis (population), clinical / translational (subfield)
Methods: Connectivity, Statistics, Machine learning
Keywords: attention convolutional neural networks (ACNN), central vein sign (CVS), gradient Echo plural contrast imaging (GEPCI), magnetic resonance imaging (MRI), multiple sclerosis (MS), paramagnetic rim lesion (PRL)
MeSH: Artificial Intelligence*, Brain*, Image Interpretation, Computer-Assisted*, Image Processing, Computer-Assisted*, Magnetic Resonance Imaging*, Multiple Sclerosis*, Adult, Algorithms, Contrast Media, Convolutional Neural Networks, Female, Humans, Intelligent Systems, Male, Middle Aged, Reproducibility of Results, Retrospective Studies (* major topic)
Journal subjects: Neuro
Topic: Multiple Sclerosis Research Studies (Pathology and Forensic Medicine, Medicine), according to OpenAlex
Funding: National Institutes of Health (NIH) and National Institute on Aging (NIA) (R01 AG077658, R01AG082030, RF1 AG077658, RF1 AG082030)
Citations: not cited yet (Europe PMC); 47 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

Tracing map

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Data

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Data availability statement

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  • it says that the data are available on request

Read it in the paper: doi.org/10.1002/jmri.70345.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 2, 28 September 2026

  • Publisher: — → Wiley

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 9 authors, 6 keywords, 17 MeSH terms, 1 funder, 43 references.

Cite

This paper

Lewis, J., Goyal, M. S., Wu, G. F., Hu, Y., Sukstanskii, A. L., Kothapalli, S. V. V. N., Cross, A. H., Kamilov, U., & Yablonskiy, D. A. (2026). AI-Powered Gradient Echo Plural Contrast Imaging (AI-GEPCI)-A Comprehensive Neurological Protocol From a Single MRI Scan. Journal of magnetic resonance imaging : JMRI, 64(2), 346-358. https://doi.org/10.1002/jmri.70345

BibTeX

@article{lewis2026ai,
author = {Lewis, Jeramy and Goyal, Manu S. and Wu, Gregory F. and Hu, Yuyang and Sukstanskii, Alexander L. and Kothapalli, Satya V. V. N. and Cross, Anne H. and Kamilov, Ulugbek and Yablonskiy, Dmitriy A.},
title = {{AI-Powered Gradient Echo Plural Contrast Imaging (AI-GEPCI)-A Comprehensive Neurological Protocol From a Single MRI Scan}},
journal = {Journal of magnetic resonance imaging : JMRI},
year = {2026},
month = may,
volume = {64},
number = {2},
pages = {346--358},
publisher = {Wiley},
issn = {1053-1807},
doi = {10.1002/jmri.70345},
url = {https://doi.org/10.1002/jmri.70345},
pmid = {42068292},
pmcid = {PMC13356385}
}

RIS

TY - JOUR
AU - Lewis, Jeramy
AU - Goyal, Manu S.
AU - Wu, Gregory F.
AU - Hu, Yuyang
AU - Sukstanskii, Alexander L.
AU - Kothapalli, Satya V. V. N.
AU - Cross, Anne H.
AU - Kamilov, Ulugbek
AU - Yablonskiy, Dmitriy A.
TI - AI-Powered Gradient Echo Plural Contrast Imaging (AI-GEPCI)-A Comprehensive Neurological Protocol From a Single MRI Scan
T2 - Journal of magnetic resonance imaging : JMRI
J2 - J Magn Reson Imaging
PY - 2026
DA - 2026/05/02
VL - 64
IS - 2
SP - 346
EP - 358
SN - 1053-1807
PB - Wiley
DO - 10.1002/jmri.70345
UR - https://doi.org/10.1002/jmri.70345
LA - en
ER -

CSL-JSON

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