Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage. - Sunyi Zheng; Xiaonan Cui; Marleen Vonder; Raymond N. J. Veldhuis; Zhaoxiang Ye; Rozemarijn Vliegenthart; Matthijs Oudkerk; Peter M. A. van Ooijen (Comput. Methods Programs Biomed., 2020)

Efficient convolutional neural networks for multi-planar lung nodule detection: improvement on small nodule identification. - Sunyi Zheng; Ludo J. Cornelissen; Xiaonan Cui; Xueping Jing; Raymond N. J. Veldhuis; Matthijs Oudkerk; Peter M. A. van Ooijen (CoRR, 2020)

Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection. - Sunyi Zheng; Jiapan Guo; Xiaonan Cui; Raymond N. J. Veldhuis; Matthijs Oudkerk; Peter M. A. van Ooijen (IEEE Trans. Medical Imaging, 2020)

Robust Randomized Autoencoder and Correntropy Criterion-Based One-Class Classification. - Xiaonan Cui; Jiuwen Cao; Tianlei Wang; Xiaoping Lai (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Coherence Matrix Based Early Infantile Epileptic Encephalopathy Analysis with ResNet. - Yaohui Chen; Xiaonan Cui; Runze Zheng; Yuanmeng Feng; Tiejia Jiang; Feng Gao 018; Danping Wang; Jiuwen Cao (ICCSIP, 2022)

Incremental Quaternion Random Neural Networks. - Xiaonan Cui; Tianlei Wang; Hao Chen; Baiying Lei; Pierre-Paul Vidal; Jiuwen Cao (ICCSIP, 2022)

3D residual-attention-deep-network-based childhood epilepsy syndrome classification. - Yuanmeng Feng; Runze Zheng; Xiaonan Cui; Tianlei Wang; Tiejia Jiang; Feng Gao 018; Jiuwen Cao (Knowl. Based Syst., 2022)

Deep feature fusion based childhood epilepsy syndrome classification from electroencephalogram. - Xiaonan Cui; Dinghan Hu; Peng Lin; Jiuwen Cao; Xiaoping Lai; Tianlei Wang; Tiejia Jiang; Feng Gao 018 (Neural Networks, 2022)

Regional Scalp EEGs Analysis and Classification on Typical Childhood Epilepsy Syndromes. - Xiaonan Cui; Jiuwen Cao; Dinghan Hu; Tianlei Wang; Tiejia Jiang; Feng Gao 018 (IEEE Trans. Cogn. Dev. Syst., 2023)

DSMN-ESS: Dual-Stream Multitask Network for Epilepsy Syndrome Classification and Seizure Detection. - Jiuwen Cao; Yaohui Chen; Runze Zheng; Xiaonan Cui; Tiejia Jiang; Feng Gao 018 (IEEE Trans. Instrum. Meas., 2023)

Two-Stream Attention 3-D Deep Network-Based Childhood Epilepsy Syndrome Classification. - Jiuwen Cao; Yuanmeng Feng; Runze Zheng; Xiaonan Cui; Weijie Zhao 004; Tiejia Jiang; Feng Gao 018 (IEEE Trans. Instrum. Meas., 2023)

Cross-Subject Seizure Detection by Joint-Probability-Discrepancy-Based Domain Adaptation. - Xiaonan Cui; Tianlei Wang; Xiaoping Lai; Tiejia Jiang; Feng Gao 018; Jiuwen Cao (IEEE Trans. Instrum. Meas., 2023)

Eye blink artifact detection based on multi-dimensional EEG feature fusion and optimization. - Meng Wang; Xiaonan Cui; Tianlei Wang; Tiejia Jiang; Feng Gao 018; Jiuwen Cao (Biomed. Signal Process. Control., 2023)

Benchmarking PathCLIP for Pathology Image Analysis. - Sunyi Zheng; Xiaonan Cui; Yuxuan Sun 002; Jingxiong Li; Honglin Li 001; Yunlong Zhang; Pingyi Chen; Xueping Jing; Zhaoxiang Ye; Lin Yang 002 (CoRR, 2024)

Synchronized Video and EEG Based Childhood Epilepsy Seizure Detection. - Jiuwen Cao; Yuan Fang; Xiaonan Cui; Runze Zheng; Tiejia Jiang; Feng Gao 018 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Mutual Information Driven Representation Learning for Cross-Subject Seizure Detection. - Dinghan Hu; Xiaonan Cui; Tiejia Jiang; Wenbin Hu; Jiuwen Cao (IEEE Signal Process. Lett., 2025)

Seizure Detection Framework via Multisubject Dynamic Adaptation and Structural Clustering. - Xiaonan Cui; Dinghan Hu; Xiaoping Lai; Tiejia Jiang; Feng Gao 018; Jiuwen Cao (IEEE Trans. Instrum. Meas., 2025)

A UAV-enabled mobile edge computing paradigm for dependent tasks based on a computing power pool. - Xuebin Lai; Yan Guo; Ming He; Hao Yuan; Wei Li; Xiaonan Cui (Frontiers Inf. Technol. Electron. Eng., 2025)