5 citations · 5 across the 4 of their papers we have counts for
4 papers
Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation
Xiaozhao Liu, Dinggang Shen, Xihui Liu
Pretrained generative models have opened new frontiers in brain decoding by enabling the synthesis of realistic texts and images from non-invasive brain recordings. However, the re…
Mining fMRI Dynamics with Parcellation Prior for Brain Disease Diagnosis
Xiaozhao Liu, Mianxin Liu, Lang Mei +4
To characterize atypical brain dynamics under diseases, prevalent studies investigate functional magnetic resonance imaging (fMRI). However, most of the existing analyses compress…
IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation
Qing Wu, Yuwei Li, Lan Xu +7
For collecting high-quality high-resolution (HR) MR image, we propose a novel image reconstruction network named IREM, which is trained on multiple low-resolution (LR) MR images an…
A framework for constructing a huge name disambiguation dataset: algorithms, visualization and human collaboration
Zhuoyue Xiao, Yutao Zhang, Bo Chen +2
We present a manually-labeled Author Name Disambiguation(AND) Dataset called WhoisWho, which consists of 399,255 documents and 45,187 distinct authors with 421 ambiguous author nam…