most citedBrain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

q-bio.QM2025

Standardized Evaluation of Automatic Methods for Perivascular Spaces Segmentation in MRI -- MICCAI 2024 Challenge Results

Yilei Wu, Yichi Zhang, Zijian Dong +38

Perivascular spaces (PVS), when abnormally enlarged and visible in magnetic resonance imaging (MRI) structural sequences, are important imaging markers of cerebral small vessel dis…

q-bio.NC2025

Brain Harmony: A Multimodal Foundation Model Unifying Morphology and Function into 1D Tokens

Zijian Dong, Ruilin Li, Joanna Su Xian Chong +9

We present Brain Harmony (BrainHarmonix), the first multimodal brain foundation model that unifies structural morphology and functional dynamics into compact 1D token representatio…

cs.LG2025

Improve Representation for Imbalanced Regression through Geometric Constraints

Zijian Dong, Yilei Wu, Chongyao Chen +3

In representation learning, uniformity refers to the uniform feature distribution in the latent space (i.e., unit hypersphere). Previous work has shown that improving uniformity co…

q-bio.NC20242 cited

Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking

Zijian Dong, Ruilin Li, Yilei Wu +6

We introduce Brain-JEPA, a brain dynamics foundation model with the Joint-Embedding Predictive Architecture (JEPA). This pioneering model achieves state-of-the-art performance in d…

q-bio.NC2024

Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model

Zijian Dong, Yilei Wu, Zijiao Chen +3

We introduce Scaffold Prompt Tuning (ScaPT), a novel prompt-based framework for adapting large-scale functional magnetic resonance imaging (fMRI) pre-trained models to downstream t…