Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 38 min ago
Peer-reviewedCC BYFrontiers in computational neuroscience

An innovative framework based on GMV-ALFF multi-modal MRI and Gaussian data augmentation for psychiatric disorder classification

  • Wenjing Zhu1
  • Xiaoying Jiang1
  1. 1Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine , ,
Read full textPDFCite

Related

  1. Leakage-Aware Ablation of Data Augmentation for Sugarcane Leaf Disease Classification: Operator- and Severity-Specific Effects
    Jarot Budiasto, Hasanudin Jayawardana, Tri Kustanti Rahayu +1
    Journal of Information Systems and InformaticsPeer-reviewedCC BYFull textPlant biologyDOAJ
  2. Preparing current and emerging health leaders: An innovative competency-based framework for health diplomacy
    Esperanza Martinez, Ellen Rosskam, Garry Aslanyan +9
    PLOS Global Public HealthPeer-reviewedCC BY 4.0Full textNeurosciencePLOS
  3. A target-domain augmentation and class-wise alignment framework for few-shot cross-condition bearing fault diagnosis
    Yijia Hu, Ying Gu, Yanjie Su +1
    PLOS OnePeer-reviewedCC BYFull textBioinformatics & computational biologyEvolutionary biologyPLOSEurope PMCPMC
  4. Barriers and facilitators to using an app-based tool for suicide safety planning in a psychiatric emergency department: A qualitative descriptive study using the Theoretical Domains Framework and COM-B model
    Hwayeon Danielle Shin, Keri Durocher, Iman Kassam +4
    PLOS OnePeer-reviewedCC BY 4.0Full textNeurosciencePsychiatry & mental healthPLOS
  5. SeverYX: An ensemble framework for robust variant severity classification
    E. Mor, E. Dedic, Y. Mazor +3
    bioRxivPreprintAll rights reservedFull textGenetics & genomicsbioRxiv

Cite

BibTeXRIS
BibTeX
@article{zhu2026innovative,
  title = {{An innovative framework based on GMV-ALFF multi-modal MRI and Gaussian data augmentation for psychiatric disorder classification}},
  author = {Wenjing Zhu and Xiaoying Jiang},
  journal = {Frontiers in computational neuroscience},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13661931},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - An innovative framework based on GMV-ALFF multi-modal MRI and Gaussian data augmentation for psychiatric disorder classification
AU  - Wenjing Zhu
AU  - Xiaoying Jiang
PY  - 2026
DA  - 2026/10/16
JO  - Frontiers in computational neuroscience
UR  - https://europepmc.org/article/PMC/PMC13661931
SN  - 1662-5188
ER  -