69 citations · 72 across the 5 of their papers we have counts for
5 papers
Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding
Heng Huang, Lin Zhao, Zihao Wu +5
Brain decoding techniques are essential for understanding the neurocognitive system. Although numerous methods have been introduced in this field, accurately aligning complex exter…
BI AVAN: Brain inspired Adversarial Visual Attention Network
Heng Huang, Lin Zhao, Xintao Hu +4
Visual attention is a fundamental mechanism in the human brain, and it inspires the design of attention mechanisms in deep neural networks. However, most of the visual attention st…
Functional2Structural: Cross-Modality Brain Networks Representation Learning
Haoteng Tang, Xiyao Fu, Lei Guo +7
MRI-based modeling of brain networks has been widely used to understand functional and structural interactions and connections among brain regions, and factors that affect them, su…
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes
Zhe Guo, Xiang Li, Heng Huang +2
Image analysis using more than one modality (i.e. multi-modal) has been increasingly applied in the field of biomedical imaging. One of the challenges in performing the multimodal…
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics
Milad Makkie, Heng Huang, Yu Zhao +2
In recent years, analyzing task-based fMRI (tfMRI) data has become an essential tool for understanding brain function and networks. However, due to the sheer size of tfMRI data, it…