OSCR

Clinical 2D MRI radiomics for infant brain age and trajectory modeling.

Overview

Authors: Huanyu Luo1, Huanjie Li2,3, Siting Xiong4,3, Rui Wang5, Ziyang Li5, Jia Wang5, Di Hu1, Hang Li1, Sami Kari-Pekka Äyrämö4,6, Hao Huang7, Xin Fan5, Yun Peng1
ORCID iDs: Siting Xiong
  1. Department of Radiology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China
  2. Central Hospital of Dalian University of Technology, Dalian, China
  3. School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China
  4. Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland
  5. School of Software, Dalian University of Technology, Dalian, China
  6. Hospital Nova of Central Finland, Wellbeing Services County of Central Finland, Jyväskylä, Finland
  7. Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
Institutions: Capital Medical University (China); Beijing Children’s Hospital (China); Dalian University of Technology (China); University of Jyväskylä (Finland); Central Finland Health Care District (Finland); University of Pennsylvania (United States)
Journal: iScience, volume 29, issue 8, article 116623
Dates: received 27 May 2025; accepted 15 June 2026; published online 20 July 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.isci.2026.116623 · PMID 42495539 · PMCID PMC13393831 · OpenAlex W7169760415
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: structural MRI / diffusion (modality), human (organism), developmental (subfield)
Methods: Connectivity, Statistics, Machine learning, fMRI & imaging, Physiology & signal measures, Preprocessing
Keywords: infant MRI, radiomics, brain age prediction, standardized curve, developmental delay
Topic: Fetal and Pediatric Neurological Disorders (Pediatrics, Perinatology and Child Health, Medicine), according to OpenAlex
Funding: STI 2030-Major Projects (2021ZD0200508, 2022ZD0211500); National Natural Science Foundation of China (National Science Foundation of China) (12171330); National Key Research and Development Plan (2018AAA0100301, 2022YFA1004101); Science and Technology Planning Project of Liaoning Province (2022JH2/10700002)
Citations: not cited yet (Europe PMC); 82 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.

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

No dataset and no data link were found in the paper.

Availability statements

The paper has a data availability statement and a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing them here; in short, from what the harvester recognized in them:

  • they say that the data are available on request
  • they say that the code is available on request

Read them in the paper: doi.org/10.1016/j.isci.2026.116623.

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

  • Authors: added Siting Xiong (0009-0000-7818-3052); removed Siting Xiong

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 12 authors, 5 keywords, 4 funders, 82 references.

Cite

This paper

Luo, H., Li, H., Xiong, S., Wang, R., Li, Z., Wang, J., Hu, D., Li, H., Kari-Pekka Äyrämö, S., Huang, H., Fan, X., & Peng, Y. (2026). Clinical 2D MRI radiomics for infant brain age and trajectory modeling. iScience, 29(8), 116623. https://doi.org/10.1016/j.isci.2026.116623

BibTeX

@article{luo2026clinical,
author = {Luo, Huanyu and Li, Huanjie and Xiong, Siting and Wang, Rui and Li, Ziyang and Wang, Jia and Hu, Di and Li, Hang and Kari-Pekka Äyrämö, Sami and Huang, Hao and Fan, Xin and Peng, Yun},
title = {{Clinical 2D MRI radiomics for infant brain age and trajectory modeling}},
journal = {iScience},
year = {2026},
month = jul,
volume = {29},
number = {8},
pages = {116623},
publisher = {Elsevier},
issn = {2589-0042},
doi = {10.1016/j.isci.2026.116623},
url = {https://doi.org/10.1016/j.isci.2026.116623},
pmid = {42495539},
pmcid = {PMC13393831}
}

RIS

TY - JOUR
AU - Luo, Huanyu
AU - Li, Huanjie
AU - Xiong, Siting
AU - Wang, Rui
AU - Li, Ziyang
AU - Wang, Jia
AU - Hu, Di
AU - Li, Hang
AU - Kari-Pekka Äyrämö, Sami
AU - Huang, Hao
AU - Fan, Xin
AU - Peng, Yun
TI - Clinical 2D MRI radiomics for infant brain age and trajectory modeling
T2 - iScience
J2 - iScience
PY - 2026
DA - 2026/07/20
VL - 29
IS - 8
SP - 116623
SN - 2589-0042
PB - Elsevier
DO - 10.1016/j.isci.2026.116623
UR - https://doi.org/10.1016/j.isci.2026.116623
LA - en
ER -

CSL-JSON

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