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Journal Articles
- 2023
[j10]Meng Wang, Xiaonan Cui, Tianlei Wang, Tiejia Jiang, Feng Gao, Jiuwen Cao:
Eye blink artifact detection based on multi-dimensional EEG feature fusion and optimization. Biomed. Signal Process. Control. 83: 104657 (2023)- [j9]Xiaonan Cui
, Jiuwen Cao, Dinghan Hu, Tianlei Wang, Tiejia Jiang, Feng Gao:
Regional Scalp EEGs Analysis and Classification on Typical Childhood Epilepsy Syndromes. IEEE Trans. Cogn. Dev. Syst. 15(2): 662-674 (2023) - [j8]Jiuwen Cao, Yaohui Chen, Runze Zheng, Xiaonan Cui, Tiejia Jiang, Feng Gao:
DSMN-ESS: Dual-Stream Multitask Network for Epilepsy Syndrome Classification and Seizure Detection. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j7]Jiuwen Cao, Yuanmeng Feng, Runze Zheng, Xiaonan Cui, Weijie Zhao, Tiejia Jiang, Feng Gao:
Two-Stream Attention 3-D Deep Network-Based Childhood Epilepsy Syndrome Classification. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j6]Xiaonan Cui, Tianlei Wang, Xiaoping Lai, Tiejia Jiang, Feng Gao, Jiuwen Cao:
Cross-Subject Seizure Detection by Joint-Probability-Discrepancy-Based Domain Adaptation. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - 2022
- [j5]Yuanmeng Feng, Runze Zheng, Xiaonan Cui, Tianlei Wang, Tiejia Jiang, Feng Gao, Jiuwen Cao:
3D residual-attention-deep-network-based childhood epilepsy syndrome classification. Knowl. Based Syst. 248: 108856 (2022) - [j4]Xiaonan Cui, Dinghan Hu, Peng Lin, Jiuwen Cao, Xiaoping Lai, Tianlei Wang, Tiejia Jiang, Feng Gao:
Deep feature fusion based childhood epilepsy syndrome classification from electroencephalogram. Neural Networks 150: 313-325 (2022) - 2021
- [j3]Xiaonan Cui, Jiuwen Cao, Tianlei Wang, Xiaoping Lai:
Robust Randomized Autoencoder and Correntropy Criterion-Based One-Class Classification. IEEE Trans. Circuits Syst. II Express Briefs 68(4): 1517-1521 (2021) - 2020
- [j2]Sunyi Zheng, Xiaonan Cui, Marleen Vonder, Raymond N. J. Veldhuis, Zhaoxiang Ye, Rozemarijn Vliegenthart, Matthijs Oudkerk, Peter M. A. van Ooijen:
Deep learning-based pulmonary nodule detection: Effect of slab thickness in maximum intensity projections at the nodule candidate detection stage. Comput. Methods Programs Biomed. 196: 105620 (2020) - [j1]Sunyi Zheng, Jiapan Guo, Xiaonan Cui, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen:
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection. IEEE Trans. Medical Imaging 39(3): 797-805 (2020)
Conference and Workshop Papers
- 2022
- [c2]Yaohui Chen, Xiaonan Cui, Runze Zheng, Yuanmeng Feng, Tiejia Jiang, Feng Gao, Danping Wang, Jiuwen Cao:
Coherence Matrix Based Early Infantile Epileptic Encephalopathy Analysis with ResNet. ICCSIP 2022: 85-101 - [c1]Xiaonan Cui, Tianlei Wang, Hao Chen, Baiying Lei, Pierre-Paul Vidal, Jiuwen Cao:
Incremental Quaternion Random Neural Networks. ICCSIP 2022: 174-191
Informal and Other Publications
- 2024
- [i3]Sunyi Zheng, Xiaonan Cui, Yuxuan Sun, Jingxiong Li, Honglin Li, Yunlong Zhang, Pingyi Chen, Xueping Jing, Zhaoxiang Ye, Lin Yang:
Benchmarking PathCLIP for Pathology Image Analysis. CoRR abs/2401.02651 (2024) - 2020
- [i2]Sunyi Zheng, Ludo J. Cornelissen, Xiaonan Cui, Xueping Jing, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen:
Efficient convolutional neural networks for multi-planar lung nodule detection: improvement on small nodule identification. CoRR abs/2001.04537 (2020) - 2019
- [i1]Sunyi Zheng, Jiapan Guo, Xiaonan Cui, Raymond N. J. Veldhuis, Matthijs Oudkerk, Peter M. A. van Ooijen:
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection. CoRR abs/1904.05956 (2019)
Coauthor Index
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