Evidence map›Paper›PMID 39915693›Full record

ArticleNature methods2025

DeepPrep: an accelerated, scalable and robust pipeline for neuroimaging preprocessing empowered by deep learning.

Jianxun Ren, Ning An, Cong Lin, Youjia Zhang, Zhenyu Sun, Wei Zhang, Shiyi Li, Ning Guo, Weigang Cui, Qingyu Hu and 7 more

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Trial
  2. Trial
  3. A Gut-Brain Axis Underlying Succinate-Associated Compulsive-Like Behavior.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Brainana: an end-to-end preprocessing framework for macaque neuroimaging.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Advances in artificial intelligence for neuroimaging.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  8. Review
  9. Robust lesion network mapping reveals genuine symptom-specific networks.bioRxiv : the preprint server for biology · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Jianxun Ren *Changping Laboratory, Beijing, China. jianxun.ren@cpl.ac.cn.ORCID http://orcid.org/0000-0002-7885-4546
Ning An *Changping Laboratory, Beijing, China.ORCID http://orcid.org/0009-0003-4255-7675
Cong LinChangping Laboratory, Beijing, China.
Youjia ZhangChangping Laboratory, Beijing, China.
Zhenyu SunChangping Laboratory, Beijing, China.
Wei ZhangChangping Laboratory, Beijing, China.
Shiyi LiChangping Laboratory, Beijing, China.
Ning GuoChangping Laboratory, Beijing, China.
Weigang CuiChangping Laboratory, Beijing, China.
Qingyu HuChangping Laboratory, Beijing, China.ORCID http://orcid.org/0009-0007-5968-7854
Weiwei WangChangping Laboratory, Beijing, China.
Xuehai WuDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
Yinyan WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Tao JiangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0002-7008-6351
Theodore D SatterthwaitePenn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-7072-9399
Danhong WangAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
Hesheng LiuChangping Laboratory, Beijing, China. liuhesheng@cpl.ac.cn.ORCID http://orcid.org/0000-0002-7233-1509

Funding

China Postdoctoral Science Foundation 2022M720529China Postdoctoral Science Foundation 2023M730175National Natural Science Foundation of China (National Science Foundation of China) 82072786
6 · The paper itself

Abstract

Neuroimaging has entered the era of big data. However, the advancement of preprocessing pipelines falls behind the rapid expansion of data volume, causing substantial computational challenges. Here we present DeepPrep, a pipeline empowered by deep learning and a workflow manager. Evaluated on over 55,000 scans, DeepPrep demonstrates tenfold acceleration, scalability and robustness compared to the state-of-the-art pipeline, thereby meeting the scalability requirements of neuroimaging.

Indexed as

Deep LearningImage Processing, Computer-AssistedNeuroimagingAlgorithmsBrainHumansMagnetic Resonance ImagingSoftwareWorkflow

Identifiers

PMID39915693
PMCPMC11903312

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.