PulseExploreJournal ClubTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 5, 2025Open Access

Latent Representation Learning from 3D Brain MRI for Interpretable Prediction in Multiple Sclerosis

View Full Paper
Ask AI
Bookmark
Share

Authors

NHNgoc Trinh HuynhNKNguyen Duc KienNANguyễn Thị Ngọc Anh

Discussion

Loading...

Member takes

Overview

InfoVAE-Med3D demonstrates interpretable biomarkers of cognitive decline in multiple sclerosis patients, highlighting predictive abilities.

Key Points

  • InfoVAE-Med3D achieves accurate regression for brain age and cognitive tests, enhancing interpretation of multiple sclerosis.
  • The method significantly outperforms traditional models, utilizing compact embeddings that retain clinically relevant information.
  • Evaluation across large cohorts reveals that learned representations aid in understanding neurological decline and diagnosis.
  • This approach emphasizes transparent analysis, marking a significant advancement toward effective MRI-based biomarkers.

Cite This Study

Huynh et al. (2025) studied this question.

synapsesocial.com/papers/68e22da774308421369af0a4https://doi.org/10.48550/arxiv.2510.00051
View Full Paper
Ask AI
Bookmark
Share