Haijun Lei
Orcid: 0000-0001-5325-5400
According to our database1,
Haijun Lei
authored at least 64 papers
between 2010 and 2023.
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Bibliography
2023
Early diagnosis and clinical score prediction of Parkinson's disease based on longitudinal neuroimaging data.
Neural Comput. Appl., August, 2023
Neural Networks, January, 2023
Adversarial learning-based multi-level dense-transmission knowledge distillation for AP-ROP detection.
Medical Image Anal., 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
Dual-Branch Attention Network and Swin Spatial Pyramid Pooling for Retinopathy of Prematurity Classification.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
USBDAN: Unsupervised Scale-aware and Boundary-aware Domain Adaptive Network for Gastric Tumor Segmentation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Gated CNN-Transformer Network for Automatic Cardiovascular Diagnosis using 12-lead Electrocardiogram.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Mutual Graph Learning Network and Diffusion Probabilistic Model-based Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Dual-branch Feature Interaction Network with Structure Information Learning for Retinopathy of Prematurity Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Prior Information Guided Coarse-to-fine Dual-branch Encoding Network for Fovea Localization and Optic Disc/Cup Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Self-supervised Distillation and Multi-scale Network for Parkinson's Disease Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data.
IEEE Trans. Neural Networks Learn. Syst., 2022
Unsupervised Domain Adaptation Based Image Synthesis and Feature Alignment for Joint Optic Disc and Cup Segmentation.
IEEE J. Biomed. Health Informatics, 2022
Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network.
Comput. Biol. Medicine, 2022
Joint segmentation and classification task via adversarial network: Application to HEp-2 cell images.
Appl. Soft Comput., 2022
Appl. Soft Comput., 2022
Proceedings of the Clinical Image-Based Procedures - 11th Workshop, 2022
Segmentation of Multiple Myeloma Cells Using Feature Selection Pyramid Network and Semantic Cascade Mask RCNN.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Parkinson's Disease Classification with Self-supervised Learning and Attention Mechanism.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
End-to-End Multi-task Learning Regression Network for Fovea Localization in Fundus Images.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
2021
Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images.
IEEE J. Biomed. Health Informatics, 2021
Cross-attention multi-branch network for fundus diseases classification using SLO images.
Medical Image Anal., 2021
Dual-Branch Attention Network and Atrous Spatial Pyramid Pooling for Diabetic Retinopathy Classification Using Ultra-Widefield Images.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021
Unsupervised Domain Adaptation Based Image Synthesis and Synergistic Adversarial Learning for Optic Disc and Cup Segmentation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Latent Space Learning and Feature Learning using Multi-template for Multi-classification of Alzheimer's Disease.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images.
Neural Networks, 2020
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.
Medical Image Anal., 2020
Weakly-Supervised Lesion-Aware and Consistency Regularization for Retinitis Pigmentosa Detection from Ultra-Widefield Images.
Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020
Multi-level Light U-Net and Atrous Spatial Pyramid Pooling for Optic Disc Segmentation on Fundus Image.
Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020
Template-Oriented Multi-task Sparse Low-Rank Learning for Parkinson's Diseases Diagnosis.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Longitudinal Feature Selection and Feature Learning for Parkinson's Disease Diagnosis and Prediction.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine.
IEEE J. Biomed. Health Informatics, 2019
Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations.
IEEE J. Biomed. Health Informatics, 2019
Multim. Tools Appl., 2019
Neurocomputing, 2019
Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-Rank Feature Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Diagnosis of Parkinson's Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis.
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019
Longitudinal and Multi-modal Data Learning for Parkinson's Disease Diagnosis via Stacked Sparse Auto-encoder.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the Computing, Communications and IoT Applications, ComComAp 2019, Shenzhen, 2019
2018
A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning.
Pattern Recognit., 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Longitudinal and Multi-modal Data Learning via Joint Embedding and Sparse Regression for Parkinson's Disease Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
Int. J. Pattern Recognit. Artif. Intell., 2017
Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning.
Expert Syst. Appl., 2017
Proceedings of the 19th IEEE International Symposium on Multimedia, 2017
Cross-Modal Transfer Learning for HEp-2 Cell Classification Based on Deep Residual Network.
Proceedings of the 19th IEEE International Symposium on Multimedia, 2017
Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
ESD-WSN: An Efficient SDN-Based Wireless Sensor Network Architecture for IoT Applications.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017
2015
Optimal and secure audio watermarking scheme based on self-adaptive particle swarm optimization and quaternion wavelet transform.
Signal Process., 2015
Proceedings of the 10th International Conference on Information, 2015
2014
Expert Syst. Appl., 2014
2013
Proceedings of the IEEE International Conference on Image Processing, 2013
Proceedings of the 9th International Conference on Information, 2013
2012
A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition.
Signal Process., 2012
2010
Proceedings of the Advances in Multimedia Information Processing - PCM 2010, 2010