20 citations · 38 across the 9 of their papers we have counts for
9 papers
NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics
Zijian Dong, Jianxiong Zhou, Kwun Kei Ng +4
Forecasting human brain activity during naturalistic experience requires modeling how endogenous neural states evolve causally under continuous sensory drive. Existing brain encodi…
NeurIPS: Neuro-anatomical Inductive Priors for Sphere-based Brain Decoding
Sijin Yu, Zijiao Chen, Zhenyu Yang +7
Current fMRI decoders face a performance-fidelity trade-off where efficient ID encoders outperform geometrically faithful surface-based models. We argue this is partly driven by in…
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…
From Flat to Round: Redefining Brain Decoding with Surface-Based fMRI and Cortex Structure
Sijin Yu, Zijiao Chen, Wenxuan Wu +6
Reconstructing visual stimuli from human brain activity (e.g., fMRI) bridges neuroscience and computer vision by decoding neural representations. However, existing methods often ov…
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…
NeuroCine: Decoding Vivid Video Sequences from Human Brain Activties
Jingyuan Sun, Mingxiao Li, Zijiao Chen +1
In the pursuit to understand the intricacies of human brain's visual processing, reconstructing dynamic visual experiences from brain activities emerges as a challenging yet fascin…
Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity
Zijiao Chen, Jiaxin Qing, Juan Helen Zhou
Reconstructing human vision from brain activities has been an appealing task that helps to understand our cognitive process. Even though recent research has seen great success in r…
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities
Jingyuan Sun, Mingxiao Li, Zijiao Chen +3
Decoding visual stimuli from neural responses recorded by functional Magnetic Resonance Imaging (fMRI) presents an intriguing intersection between cognitive neuroscience and machin…
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding
Zijiao Chen, Jiaxin Qing, Tiange Xiang +2
Decoding visual stimuli from brain recordings aims to deepen our understanding of the human visual system and build a solid foundation for bridging human and computer vision throug…