Evidence map›Paper›PMID 39835664›Full record

ArticleHuman brain mapping2025

χ-sepnet: Deep Neural Network for Magnetic Susceptibility Source Separation.

Minjun Kim, Sooyeon Ji, Jiye Kim, Kyeongseon Min, Hwihun Jeong, Jonghyo Youn, Taechang Kim, Jinhee Jang, Berkin Bilgic, Hyeong-Geol Shin and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Importance of RMagnetic resonance in medicine · 2026
    Article
  7. Vessel segmentation forMagnetic resonance in medicine · 2026
    Article
  8. Article
  9. Reduced myelin contributes to cognitive impairment in patients with monogenic small vessel disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    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

11 authors.

Minjun KimLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0003-2104-4734
Sooyeon JiLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0003-1644-6560
Jiye KimLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0002-6891-6520
Kyeongseon MinLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0001-7614-2089
Hwihun JeongLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0002-5711-4290
Jonghyo YounLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.ORCID 0009-0006-4902-5171
Taechang KimLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.ORCID 0009-0005-2257-7120
Jinhee JangDepartment of Radiology, Seoul St Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0002-3386-1208
Berkin BilgicMassachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-9080-7865
Hyeong-Geol ShinLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0001-7876-173X
Jongho LeeLaboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0002-9485-5434

Funding

AI-Bio Research, Seoul National UniversityInstitute of Engineering Research, Seoul National UniversityInstitute of Information & communications Technology Planning & Evaluation IITP-2023-RS-2023-00256081Institute of New Media and Communications, Seoul National UniversityNational Research Foundation of Korea NRF-2022R1A4A1030579National Research Foundation of Korea RS-2024-00349509
6 · The paper itself

Abstract

Magnetic susceptibility source separation (χ-separation), an advanced quantitative susceptibility mapping (QSM) method, enables the separate estimation of paramagnetic and diamagnetic susceptibility source distributions in the brain. Similar to QSM, it requires solving the ill-conditioned problem of dipole inversion, suffering from so-called streaking artifacts. Additionally, the method utilizes reversible transverse relaxation (

Indexed as

BrainDeep LearningImage Processing, Computer-AssistedMagnetic Resonance ImagingMagnetoencephalographyNeural Networks, ComputerAdultFemaleHumansMale

Identifiers

PMID39835664
PMCPMC11748151

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.