Associations between anterior hypothalamic subunits and ADHD and autistic traits revealed by deep learning MRI segmentation.
Paper
Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC
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The authors' code
Python · 6 lines · 152 B · Apache-2.0
- from . import edit_tensors
- from . import edit_volumes
- from . import image_generator
- from . import lab2im_model
- from . import layers
- from . import utils
__init__.py at commit dbcf68f, under Apache-2.0 · at the source
Overview
- Medical Device Development Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, Republic of Korea
- Department of Linguistics, Graduate School of Arts and Letter, Tohoku University, Sendai, Japan
- Kansei Fukushi Research Institute, Tohoku Fukushi University, Kunimigaoka 6-149-1, Aoba, Sendai, Miyagi 9893201 Japan
- Section of Brain Function Information, National Institute for Physiological Sciences, Okazaki, Japan
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.
Repository
Its files are read in the Code ↔ Paper reader above.
BBillot/hypothalamus_seg
dbcf68f0dab5201b56a1457d64f379d0e43cd031, 6 January 2023Availability: 1 check, the latest on 27 September 2026: the link answers
- 27 September 2026: the link answers
39 files
- ext/
lab2im/ , Python, 6 lines__init__.py - ext/
lab2im/ , Python, 346 linesedit_tensors.py - ext/
lab2im/ , Python, 2,792 linesedit_volumes.py - ext/
lab2im/ , Python, 266 linesimage_generator.py - ext/
lab2im/ , Python, 174 lineslab2im_model.py - ext/
lab2im/ , Python, 1,727 lineslayers.py - ext/
lab2im/ , Python, 1,055 linesutils.py - ext/
neuron/ , Python, 11 lines__init__.py - ext/
neuron/ , Python, 624 linescallbacks.py - ext/
neuron/ , Python, 414 linesdataproc.py - ext/
neuron/ , Python, 1,059 linesgenerators.py - ext/
neuron/ , Python, 18 linesinits.py - ext/
neuron/ , Python, 1,170 lineslayers.py - ext/
neuron/ , Python, 448 linesmetrics.py - ext/
neuron/ , Python, 1,053 linesmodels.py - ext/
neuron/ , Python, 302 linesplot.py - ext/
neuron/ , Python, 1,340 linesutils.py - ext/
neuron/ , Python, 456 linesvae_tools.py - ext/
pynd/ , Python, 2 lines__init__.py - ext/
pynd/ , Python, 11 linesimutils.py - ext/
pynd/ , Python, 483 linesndutils.py - ext/
pynd/ , Python, 121 linessegutils.py - ext/
pytools/ , Python, 4 lines__init__.py - ext/
pytools/ , Python, 212 linesiniparse.py - ext/
pytools/ , Python, 458 linespatchlib.py - ext/
pytools/ , Python, 63 linesplot.py - ext/
pytools/ , Python, 32 linestimer.py - hypothalamus_seg/
__init__.py , Python, 5 lines - hypothalamus_seg/
augmentation_model.py , Python, 254 lines - hypothalamus_seg/
evaluate.py , Python, 370 lines - hypothalamus_seg/
metrics_model.py , Python, 60 lines - hypothalamus_seg/
model_inputs.py , Python, 71 lines - hypothalamus_seg/
predict.py , Python, 439 lines - hypothalamus_seg/
training.py , Python, 288 lines - hypothalamus_seg/
validate.py , Python, 268 lines - scripts/
predict.py , Python, 71 lines - scripts/
training.py , Python, 82 lines - LICENSE.txt, License, 201 lines
- README.md, Text, 232 lines
Code availability statement
The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:
- it points to the authors' code: BBillot/
hypothalamus_seg - it says that the code is available on request
Read it in the paper: doi.org/10.1007/s44192-026-00521-5.
Tracing map
Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.
What the map holds:
- 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
- 37 scripts, each with its path and the digest of its content;
- no match between paragraphs and code yet;
- neither the text of the paper nor the code itself.
Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.
Data
No dataset and no data link were found in the paper.
Data availability statement
The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:
- it says that the data are available on request
Read it in the paper: doi.org/10.1007/s44192-026-00521-5.
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 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 5 keywords, 1 funder, 55 references.
Cite
This paper
Choi, U.-S., Kiyama, S., Sung, Y.-W., Fukunaga, M., & Ogawa, S. (2026). Associations between anterior hypothalamic subunits and ADHD and autistic traits revealed by deep learning MRI segmentation. Discover mental health, 6(1), 166. https://
BibTeX
@article{choi2026associa
author = {Choi, Uk-Su and Kiyama, Sachiko and Sung, Yul-Wan and Fukunaga, Masaki and Ogawa, Seiji},
title = {{Associations between anterior hypothalamic subunits and ADHD and autistic traits revealed by deep learning MRI segmentation}},
journal = {Discover mental health},
year = {2026},
month = jun,
volume = {6},
number = {1},
pages = {166},
publisher = {Springer},
issn = {2731-4383},
doi = {10.1007/
url = {https://
pmid = {42323754},
pmcid = {PMC13529635}
}
RIS
TY - JOUR
AU - Choi, Uk-Su
AU - Kiyama, Sachiko
AU - Sung, Yul-Wan
AU - Fukunaga, Masaki
AU - Ogawa, Seiji
TI - Associations between anterior hypothalamic subunits and ADHD and autistic traits revealed by deep learning MRI segmentation
T2 - Discover mental health
J2 - Discov Ment Health
PY - 2026
DA - 2026/
VL - 6
IS - 1
SP - 166
SN - 2731-4383
PB - Springer
DO - 10.1007/
UR - https://
LA - en
ER -
CSL-JSON
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"DOI": "10.1007/
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