2025
An object detection-based model for automated screening of stem-cells senescence during drug screening.
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Neural Networks, 2025
2024
MHW-GAN: Multidiscriminator Hierarchical Wavelet Generative Adversarial Network for Multimodal Image Fusion.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
3D Multimodal Fusion Network With Disease-Induced Joint Learning for Early Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, September, 2024
Hybrid federated learning with brain-region attention network for multi-center Alzheimer's disease detection.
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Pattern Recognit., 2024
Boundary uncertainty aware network for automated polyp segmentation.
Neural Networks, 2024
Alzheimer's disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network.
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Medical Image Anal., 2024
Misclassification Detection via Counterexample Learning for Trustworthy Cervical Cancer Screening.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
Multi-scale 3D Convolutional LSTM for Longitudinal Alzheimer's Disease Identification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Dual Attention Graph Convolutional Network Fusing Imaging and Genetic Data for Early Alzheimer's Disease Diagnosis.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Hypergraph-based Self-supervised Multi-channel Network for Drug-target Interaction Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
OCD Diagnosis with Multiple Spatial Similarity-Aware Learning and Diffusion Structure-Aware Graph Convolutional Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis.
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IEEE Trans. Medical Imaging, December, 2023
FIT-Net: Feature Interaction Transformer Network for Pathologic Myopia Diagnosis.
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IEEE Trans. Medical Imaging, September, 2023
OCD diagnosis via smooth sparse network and fused sparse auto-encoder learning.
Expert Syst. Appl., April, 2023
Multi-scale enhanced graph convolutional network for mild cognitive impairment detection.
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Pattern Recognit., 2023
Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Fused Brain Functional Connectivity Network and Edge-attention Graph Convolution Network for Fibromyalgia Syndrome Diagnosis.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Detection of Onset Time for Acute Ischemic Stroke Based on Multi-scale Features and Cross-Attention.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2023
2022
IFT-Net: Interactive Fusion Transformer Network for Quantitative Analysis of Pediatric Echocardiography.
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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.
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Knowl. Based Syst., 2022
Predicting clinical scores for Alzheimer's disease based on joint and deep learning.
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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
Multi-directional Attention Network for Segmentation of Pediatric Echocardiographic.
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Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
2020
Deep and joint learning of longitudinal data for Alzheimer's disease prediction.
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
Deep Learning Framework for Alzheimer's Disease Diagnosis via 3D-CNN and FSBi-LSTM.
IEEE Access, 2019
OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Multi-template Based Auto-Weighted Adaptive Structural Learning for ASD Diagnosis.
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