187 citations · 392 across the 8 of their papers we have counts for
8 papers
Brain Network Diffusion-Driven fMRI Connectivity Augmentation for Enhanced Autism Spectrum Disorder Diagnosis
Haokai Zhao, Haowei Lou, Lina Yao +1
Functional magnetic resonance imaging (fMRI) is an emerging neuroimaging modality that is commonly modeled as networks of Regions of Interest (ROIs) and their connections, named fu…
See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity
Zesheng Ye, Lina Yao, Yu Zhang +1
Recent studies demonstrate the use of a two-stage supervised framework to generate images that depict human perception to visual stimuli from EEG, referring to EEG-visual reconstru…
Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus
Yun Li, Zhe Liu, Lina Yao +3
With the development of digital technology, machine learning has paved the way for the next generation of tinnitus diagnoses. Although machine learning has been widely applied in E…
Contrastive Graph Learning for Population-based fMRI Classification
Xuesong Wang, Lina Yao, Islem Rekik +1
Contrastive self-supervised learning has recently benefited fMRI classification with inductive biases. Its weak label reliance prevents overfitting on small medical datasets and ta…
Generative Adversarial U-Net for Domain-free Medical Image Augmentation
Xiaocong Chen, Yun Li, Lina Yao +2
The shortage of annotated medical images is one of the biggest challenges in the field of medical image computing. Without a sufficient number of training samples, deep learning ba…
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images
Xiaocong Chen, Lina Yao, Tao Zhou +2
The current pandemic, caused by the outbreak of a novel coronavirus (COVID-19) in December 2019, has led to a global emergency that has significantly impacted economies, healthcare…
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images
Xiaocong Chen, Lina Yao, Yu Zhang
The novel coronavirus disease 2019 (COVID-19) has been spreading rapidly around the world and caused significant impact on the public health and economy. However, there is still la…
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection
Xiang Zhang, Lina Yao, Manqing Dong +3
Objective: Epilepsy is a chronic neurological disorder characterized by the occurrence of spontaneous seizures, which affects about one percent of the world's population. Most of t…