Dual-TRACER: High resolution fMRI with constrained evolution reconstruction. - Xuesong Li 003; Xiaodong Ma; Lyu Li; Zhe Zhang 021; Xue Zhang; Yan Tong; Lihong Wang; Sen Song; Hua Guo (NeuroImage, 2018)

Downward cross-modal plasticity in single-sided deafness. - Yufei Qiao; Xuesong Li 003; Hang Shen 003; Xue Zhang; Yang Sun; Wenyang Hao; Bingya Guo; Daofeng Ni; Zhiqiang Gao; Hua Guo; Yingying Shang (NeuroImage, 2019)

Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet. - Yizhuan Jia; Weibin Liao; Yi Lv; Ziyu Su; Jiaqi Dou; Zhongwei Sun; Xuesong Li 003 (CADA@MICCAI, 2020)

3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challenge. - Ziyu Su; Yizhuan Jia; Weibin Liao; Yi Lv; Jiaqi Dou; Zhongwei Sun; Xuesong Li 003 (CADA@MICCAI, 2020)

Deep residual network for highly accelerated fMRI reconstruction using variable density spiral trajectory. - Xuesong Li 003; Tianle Cao; Yan Tong; Xiaodong Ma; Zhendong Niu; Hua Guo (Neurocomputing, 2020)

Deep learning based software defect prediction. - Lei Qiao 007; Xuesong Li 003; Qasim Umer; Ping Guo 002 (Neurocomputing, 2020)

Dynamic neural network approach to human emotion: an analysis based on sliding time windows. - Jingqi Wang; Gen Shi; Ning Ma; Yang Sun; Xuesong Li 003; Jie Sui (ICCI*CC, 2021)

A Heterogeneous Graph Based Framework for Multimodal Neuroimaging Fusion Learning. - Gen Shi; Yifan Zhu 001; Wenjin Liu; Xuesong Li 003 (CoRR, 2021)

Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity. - Yifan Zhu 001; Xuesong Li 003; Yufei Qiao; Ruihong Shang; Gen Shi; Yingying Shang; Hua Guo (Medical Image Anal., 2021)

The divided brain: Functional brain asymmetry underlying self-construal. - Gen Shi; Xuesong Li 003; Yifan Zhu 001; Ruihong Shang; Yang Sun; Hua Guo; Jie Sui (NeuroImage, 2021)

Fusion Learning of Multimodal Neuroimaging with Weighted Graph AutoEncoder. - Gen Shi; Yifan Zhu 001; Fuquan Zhang 001; Wenjin Liu; Yuxiang Yao; Xuesong Li 003 (BIBM, 2022)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (CoRR, 2022)

Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge. - Matthias Ivantsits; Leonid Goubergrits; Jan-Martin Kuhnigk; Markus Hüllebrand; Jan Brüning; Tabea Kossen; Boris Pfahringer; Jens Schaller; Andreas Spuler; Titus Kühne; Yizhuan Jia; Xuesong Li 003; et al. (Medical Image Anal., 2022)

Investigating Neural Substrates of Individual Independence and Interdependence Orientations via Efficiency-Based Dynamic Functional Connectivity: A Machine Learning Approach. - Yifan Zhu 001; Xuesong Li 003; Yang Sun; Haixu Wang; Hua Guo; Jie Sui (IEEE Trans. Cogn. Dev. Syst., 2022)

MCRLe: Multi-Modal Contrastive Representation Learning For Stroke Onset Time Diagnosis. - Weibin Liao; Peirong Jiang; Yi Lv; Yunjing Xue; Zhensen Chen; Xuesong Li 003 (ISBI, 2023)

MFR-Net: Multi-Scale Feature Representation Module for 3D Cerebrovascular Segmentation. - Yi Lv; Weibin Liao; Zhensen Chen; Xuesong Li 003 (ISBI, 2023)

A Deep-Learning-Based Framework for Automatic Segmentation and Labelling of Intracranial Artery. - Yi Lv; Weibin Liao; Wenjin Liu; Zhensen Chen; Xuesong Li 003 (ISBI, 2023)

Are Nonimage Data Really Necessary for Disease Prediction With Graph Convolutional Networks? - Gen Shi; Yifan Zhu 001; Zhensen Chen; Jinyan Liu; Xuesong Li 003 (IEEE Trans. Cogn. Dev. Syst., 2023)

Deep learning based MRI reconstruction with transformer. - Zhengliang Wu; Weibin Liao; Chao Yan; Mangsuo Zhao; Guowen Liu; Ning Ma; Xuesong Li 003 (Comput. Methods Programs Biomed., 2023)

Fetal brain tissue annotation and segmentation challenge results. - Kelly Payette; Hongwei Bran Li; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (Medical Image Anal., 2023)

HPV-RCNN: Hybrid Point-Voxel Two-Stage Network for LiDAR-Based 3-D Object Detection. - Chen Feng; Chao Xiang; Xiaopo Xie; Yuan Zhang 023; Mingchuan Yang; Xuesong Li 003 (IEEE Trans. Comput. Soc. Syst., 2023)

Adaptive Knowledge Distillation for High-Quality Unsupervised MRI Reconstruction With Model-Driven Priors. - Zhengliang Wu; Xuesong Li 003 (IEEE J. Biomed. Health Informatics, 2024)

HeGCL: Advance Self-Supervised Learning in Heterogeneous Graph-Level Representation. - Gen Shi; Yifan Zhu 001; Jian K. Liu; Xuesong Li 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Corrigendum to "Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge" [Medical Image Analysis, April 2022, Volume 77, 102333]. - Matthias Ivantsits; Leonid Goubergrits; Jan-Martin Kuhnigk; Markus Hüllebrand; Jan Brüning; Tabea Kossen; Boris Pfahringer; Jens Schaller; Andreas Spuler; Titus Kühne; Yizhuan Jia; Xuesong Li 003; et al. (Medical Image Anal., 2025)

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation. - Weibin Liao; Yifan Zhu 001; Yanyan Li; Qi Zhang 020; Zhonghong Ou; Xuesong Li 003 (ACM Trans. Inf. Syst., 2025)

Heterogeneous Graph-Based Multimodal Brain Network Learning. - Gen Shi; Yifan Zhu 001; Wenjin Liu; Quanming Yao; Xuesong Li 003 (IEEE Trans. Knowl. Data Eng., 2025)