Dan Pan
Orcid: 0000-0002-2370-8541Affiliations:
- Guangdong Mobile Communication Co. Ltd., Guangdong, China
- South China University of Technology, Institute of Computer Science and Engineering, Guangzhou, China
According to our database1,
Dan Pan
authored at least 29 papers
between 2000 and 2024.
Collaborative distances:
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Bibliography
2024
MAD-Former: A Traceable Interpretability Model for Alzheimer's Disease Recognition Based on Multi-Patch Attention.
IEEE J. Biomed. Health Informatics, June, 2024
Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer's Disease.
IEEE Trans. Comput. Soc. Syst., February, 2024
FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy.
Comput. Methods Programs Biomed., 2024
2023
Target area distillation and section attention segmentation network for accurate 3D medical image segmentation.
Health Inf. Sci. Syst., December, 2023
ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images.
Comput. Medical Imaging Graph., October, 2023
Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Early Diagnosis of Alzheimer's Disease Based on Multimodal Hypergraph Attention Network.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images.
CoRR, 2022
ImageALCAPA: A 3D Computed Tomography Image Dataset for Automatic Segmentation of Anomalous Left Coronary Artery from Pulmonary Artery.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2019
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019
2018
An Optimization Approach Based on Collective Correlation Coefficient for Biomarker Extraction in the Classification of Alzheimer's Disease.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018
2014
Applications of Multivariate Time Series Analysis, Kalman Filter and Neural Networks in Estimating Capital Asset Pricing Model.
Proceedings of the Modern Advances in Applied Intelligence, 2014
2011
A Global Unsupervised Data Discretization Algorithm Based on Collective Correlation Coefficient.
Proceedings of the Modern Approaches in Applied Intelligence, 2011
2007
Appl. Intell., 2007
Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007
2006
IEEE Intell. Syst., 2006
Proceedings of the Advances in Applied Artificial Intelligence, 2006
2004
Proceedings of the IEEE International Conference on Systems, 2004
Proceedings of the IEEE International Conference on Systems, 2004
A practical strategy for acquiring rules based on rough sets and principal component analysis.
Proceedings of the IEEE International Conference on Systems, 2004
2003
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003
2002
IEEE Trans. Syst. Man Cybern. Part A, 2002
2001
Proceedings of the IEEE International Conference on Systems, 2001
A self-optimizing approach for knowledge acquisition with adaptively incremental sampling.
Proceedings of the IEEE International Conference on Systems, 2001
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001
2000
Proceedings of the IEEE International Conference on Systems, 2000
Proceedings of the IEEE International Conference on Systems, 2000