Peng Yang
Orcid: 0000-0003-2781-6109Affiliations:
- Shenzhen University, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, China
According to our database1,
Peng Yang
authored at least 26 papers
between 2017 and 2023.
Collaborative distances:
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Bibliography
2023
Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, December, 2023
IEEE Trans. Medical Imaging, September, 2023
Expert Syst. Appl., April, 2023
Multi-scale enhanced graph convolutional network for mild cognitive impairment detection.
Pattern Recognit., 2023
2022
IFT-Net: Interactive Fusion Transformer Network for Quantitative Analysis of Pediatric Echocardiography.
Medical Image Anal., 2022
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network.
Medical Image Anal., 2022
Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM.
Knowl. Based Syst., 2022
Expert Syst. Appl., 2022
Hybrid Network Based on Cross-Modal Feature Fusion for Diagnosis of Alzheimer's Disease.
Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022
2021
Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment.
IEEE Trans. Cybern., 2021
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
2020
Pattern Recognit., 2020
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease.
Medical Image Anal., 2020
Self-weighted adaptive structure learning for ASD diagnosis via multi-template multi-center representation.
Medical Image Anal., 2020
Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis.
IEEE J. Biomed. Health Informatics, 2019
IEEE Access, 2019
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Deep Learning via Fused Bidirectional Attention Stacked Long Short-Term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Joint and Long Short-Term Memory Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Low Rank Self-calibrated Brain Network Estimation and Autoweighted Centralized Multi-Task Learning for Early Mild Cognitive Impairment Diagnosis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Join and Deep Ensemble Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal and Incomplete Data<sup>*</sup>.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Relational-Regularized Discriminative Sparse Learning for Alzheimer's Disease Diagnosis.
IEEE Trans. Cybern., 2017