Zhanquan Sun
Orcid: 0000-0002-6911-6437Affiliations:
- University of Shanghai for Science and Technology, School of Optical-Electrical and Computer Engineering, China
- Shandong Computer Science Center, National Supercomputer Center in Jinan, China (PhD 2007-2018)
- Chinese Academy of Sciences (CAS), Institute of Automation, Beijing, China (PhD 2007)
According to our database1,
Zhanquan Sun
authored at least 20 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
MTS-Net: research on multi-modal, multi-task, multi-stage tumor segmentation model for PET/CT.
Appl. Intell., August, 2025
2024
RASNet: Renal automatic segmentation using an improved U-Net with multi-scale perception and attention unit.
Pattern Recognit., 2024
Instantaneous estimation of momentary affective responses using neurophysiological signals and a spatiotemporal emotional intensity regression network.
Neural Networks, 2024
MPSA: Multi-Position Supervised Soft Attention-based convolutional neural network for histopathological image classification.
Expert Syst. Appl., 2024
Biomed. Signal Process. Control., 2024
Prognosis prediction based on liver histopathological image via graph deep learning and transformer.
Appl. Soft Comput., 2024
2023
Int. J. Imaging Syst. Technol., January, 2023
Biomed. Signal Process. Control., 2023
2022
ECG signal classification via combining hand-engineered features with deep neural network features.
Multim. Tools Appl., 2022
A multi-label feature selection method based on an approximation of interaction information.
Intell. Data Anal., 2022
Identification of human mental workload levels in a language comprehension task with imbalance neurophysiological data.
Comput. Methods Programs Biomed., 2022
Identification of mental fatigue levels in a language understanding task based on multi-domain EEG features and an ensemble convolutional neural network.
Biomed. Signal Process. Control., 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
2020
Selecting transferrable neurophysiological features for inter-individual emotion recognition via a shared-subspace feature elimination approach.
Comput. Biol. Medicine, 2020
An Improved Dice Loss for Pneumothorax Segmentation by Mining the Information of Negative Areas.
IEEE Access, 2020
IEEE Access, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
2019
Individual-Specific Classification of Mental Workload Levels Via an Ensemble Heterogeneous Extreme Learning Machine for EEG Modeling.
Symmetry, 2019