Hybrid SVD-Based Audio Watermarking Scheme. - B. Y. Lei; Kwok-Tung Lo; Haijun Lei (PCM (1), 2010)

A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition. - Bai Ying Lei; Ing Yann Soon; Feng Zhou 003; Zhen Li 047; Haijun Lei (Signal Process., 2012)

Robust watermarking scheme for medical image using optimization method. - Bai Ying Lei; Tianfu Wang 001; Siping Chen; Dong Ni 001; Haijun Lei (ICICS, 2013)

Object recognition based on adapative bag of feature and discriminative learning. - Bai Ying Lei; Tianfu Wang 001; Siping Chen; Dong Ni 001; Haijun Lei (ICIP, 2013)

Reversible watermarking scheme for medical image based on differential evolution. - Bai Ying Lei; Ee-Leng Tan; Siping Chen; Dong Ni 001; Tianfu Wang 001; Haijun Lei (Expert Syst. Appl., 2014)

Multipurpose and intelligent watermarking scheme for medical data. - Yinan Zhuo; Dong Ni 001; Siping Chen; Bai Ying Lei; Tianfu Wang 001; Haijun Lei (ICICS, 2015)

Optimal and secure audio watermarking scheme based on self-adaptive particle swarm optimization and quaternion wavelet transform. - Bai Ying Lei; Feng Zhou 003; Ee-Leng Tan; Dong Ni 001; Haijun Lei; Siping Chen; Tianfu Wang 001 (Signal Process., 2015)

ESD-WSN: An Efficient SDN-Based Wireless Sensor Network Architecture for IoT Applications. - Zhiwei Zhang; Zhiyong Zhang 006; Rui Wang 075; Zhiping Jia; Haijun Lei; Xiaojun Cai (ICA3PP, 2017)

Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning. - Haijun Lei; Jian Zhang; Zhang Yang; Ee-Leng Tan; Bai Ying Lei; Qiuming Luo (ISBI, 2017)

Cross-Modal Transfer Learning for HEp-2 Cell Classification Based on Deep Residual Network. - Haijun Lei; Tao Han; Weifeng Huang; Jong Yih Kuo; Zhen Yu; Xinzi He; Baiying Lei (ISM, 2017)

Adaptive Sparse Learning for Neurodegenerative Disease Classification. - Haijun Lei; Yujia Zhao; Yuting Wen; Baiying Lei (ISM, 2017)

Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning. - Haijun Lei; Zhongwei Huang; Jian Zhang; Zhang Yang; Ee-Leng Tan; Feng Zhou 003; Bai Ying Lei (Expert Syst. Appl., 2017)

Hierarchical Saliency Detection via Probabilistic Object Boundaries. - Haijun Lei; Hai Xie; Wenbin Zou; Xiaoli Sun; Kidiyo Kpalma; Nikos Komodakis (Int. J. Pattern Recognit. Artif. Intell., 2017)

Multi-classification of Parkinson's Disease via Sparse Low-Rank Learning. - Haijun Lei; Yujia Zhao; Zhongwei Huang; Feng Zhou 003; Limin Huang; Baiying Lei (ICPR, 2018)

Deeply Supervised Residual Network for HEp-2 Cell Classification. - Hai Xie; Yejun He; Haijun Lei; Tao Han; Zhen Yu; Baiying Lei (ICPR, 2018)

Longitudinal and multi-modal data learning for Parkinson's disease diagnosis. - Zhongwei Huang; Haijun Lei; Yujia Zhao; Feng Zhou 003; Jin Yan; Ahmed El-Azab; Baiying Lei (ISBI, 2018)

Longitudinal and Multi-modal Data Learning via Joint Embedding and Sparse Regression for Parkinson's Disease Diagnosis. - Haijun Lei; Zhongwei Huang; Ahmed El-Azab; Hancong Li; Baiying Lei (MLMI@MICCAI, 2018)

Multi-task Sparse Low-Rank Learning for Multi-classification of Parkinson's Disease. - Haijun Lei; Yujia Zhao; Baiying Lei (DLMIA/ML-CDS@MICCAI, 2018)

A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning. - Haijun Lei; Tao Han; Feng Zhou 003; Zhen Yu; Jing Qin 001; Ahmed El-Azab; Baiying Lei (Pattern Recognit., 2018)

Segmentation Guided HEp-2 Cell Classification with Adversarial Networks. - Hai Xie; Yejun He; Haijun Lei; Jong Yih Kuo; Baiying Lei (ComComAP, 2019)

An Improved Object Detection Method for Mitosis Detection. - Haijun Lei; Shaomin Liu; Hai Xie; Jong Yih Kuo; Baiying Lei (EMBC, 2019)

Longitudinal and Multi-modal Data Learning for Parkinson's Disease Diagnosis via Stacked Sparse Auto-encoder. - Shiqi Li; Haijun Lei; Feng Zhou 003; Jamal Gardezi; Baiying Lei (ISBI, 2019)

Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis. - Zhongwei Huang; Haijun Lei; Guoliang Chen 005; Shiqi Li; Hancong Li; Ahmed El-Azab; Baiying Lei (CNI@MICCAI, 2019)

Diagnosis of Parkinson's Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning. - Haijun Lei; Hancong Li; Ahmed Elazab; Xuegang Song; Zhongwei Huang; Baiying Lei (PRIME@MICCAI, 2019)

Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-Rank Feature Learning. - Haijun Lei; Yujia Zhao; Baiying Lei (MICCAI (4), 2019)

Deeply supervised full convolution network for HEp-2 specimen image segmentation. - Hai Xie; Haijun Lei; Yejun He; Baiying Lei (Neurocomputing, 2019)

Multipurpose watermarking scheme via intelligent method and chaotic map. - Baiying Lei; Xin Zhao; Haijun Lei; Dong Ni 001; Siping Chen; Feng Zhou 003; Tianfu Wang 001 (Multim. Tools Appl., 2019)

Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations. - Haijun Lei; Zhongwei Huang; Feng Zhou 003; Ahmed El-Azab; Ee-Leng Tan; Hancong Li; Jing Qin 001; Baiying Lei (IEEE J. Biomed. Health Informatics, 2019)

Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine. - Haijun Lei; Yuting Wen; Zhuhong You; Ahmed El-Azab; Ee-Leng Tan; Yujia Zhao; Baiying Lei (IEEE J. Biomed. Health Informatics, 2019)

Longitudinal Feature Selection and Feature Learning for Parkinson's Disease Diagnosis and Prediction. - Zhongwei Huang; Haijun Lei; Shiqi Li; Xiaohua Xiao; Ee-Leng Tan; Baiying Lei (ICPR, 2020)

Template-Oriented Multi-task Sparse Low-Rank Learning for Parkinson's Diseases Diagnosis. - Zihao Chen; Haijun Lei; Yujia Zhao; Zhongwei Huang; Xiaohua Xiao; Yi Lei; Ee-Leng Tan; Baiying Lei (PRIME@MICCAI, 2020)

Multi-level Light U-Net and Atrous Spatial Pyramid Pooling for Optic Disc Segmentation on Fundus Image. - Weixin Liu; Haijun Lei; Hai Xie; Benjian Zhao; Guanghui Yue 001; Baiying Lei (OMIA@MICCAI, 2020)

Weakly-Supervised Lesion-Aware and Consistency Regularization for Retinitis Pigmentosa Detection from Ultra-Widefield Images. - Benjian Zhao; Haijun Lei; Xianlu Zeng; Jiuwen Cao; Hai Xie; Guanghui Yue 001; Jiantao Wang; Guoming Zhang; Baiying Lei (OMIA@MICCAI, 2020)

Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis. - Baiying Lei; Yujia Zhao; Zhongwei Huang; Xiaoke Hao; Feng Zhou 003; Ahmed Elazab; Jing Qin 001; Haijun Lei (Medical Image Anal., 2020)

AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images. - Hai Xie; Haijun Lei; Xianlu Zeng; Yejun He; Guozhen Chen; Ahmed Elazab; Guanghui Yue 001; Jiantao Wang; Guoming Zhang; Baiying Lei (Neural Networks, 2020)

Latent Space Learning and Feature Learning using Multi-template for Multi-classification of Alzheimer's Disease. - Zihao Chen; Haijun Lei; Zhongwei Huang; Baiying Lei (EMBC, 2021)

Unsupervised Domain Adaptation Based Image Synthesis and Synergistic Adversarial Learning for Optic Disc and Cup Segmentation. - Weixin Liu; Haijun Lei; Hai Xie; Benjian Zhao; Baiying Lei (ICME, 2021)

Dual-Branch Attention Network and Atrous Spatial Pyramid Pooling for Diabetic Retinopathy Classification Using Ultra-Widefield Images. - Zhihui Tian; Haijun Lei; Hai Xie; Xianlu Zeng; Xinyu Zhao; Miaohong Chen; Guoming Zhang; Baiying Lei (OMIA@MICCAI, 2021)

Cross-attention multi-branch network for fundus diseases classification using SLO images. - Hai Xie; Xianlu Zeng; Haijun Lei; Jie Du 001; Jiantao Wang; Guoming Zhang; Jiuwen Cao; Tianfu Wang 001; Baiying Lei (Medical Image Anal., 2021)

Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images. - Haijun Lei; Shaomin Liu; Ahmed Elazab; Xuehao Gong; Baiying Lei (IEEE J. Biomed. Health Informatics, 2021)

End-to-End Multi-task Learning Regression Network for Fovea Localization in Fundus Images. - Limin Huang; Haijun Lei; Weixin Liu; Zhen Li 047; Hai Xie; Baiying Lei (CBMS, 2022)

Parkinson's Disease Classification with Self-supervised Learning and Attention Mechanism. - Yuchen Zhang; Haijun Lei; Zhongwei Huang; Zhen Li 047; Chuan-Ming Liu; Baiying Lei (ICPR, 2022)

Attention-based Graph Neural Network for the Classification of Parkinson's Disease. - Menglu Zhao; Haijun Lei; Zhongwei Huang; Yuchen Zhang; Zhen Li 047; Chuan-Ming Liu; Baiying Lei (ICPR, 2022)

Segmentation of Multiple Myeloma Cells Using Feature Selection Pyramid Network and Semantic Cascade Mask RCNN. - Xinyun Qiu; Haijun Lei; Hai Xie; Baiying Lei (ISBI, 2022)

STAU-Net: A Spatial Structure Attention Network for 3D Coronary Artery Segmentation. - Guanjie Tong; Haijun Lei; Limin Huang; Zhihui Tian; Hai Xie; Baiying Lei; Longjiang Zhang (CLIP@MICCAI, 2022)

Multi-center sparse learning and decision fusion for automatic COVID-19 diagnosis. - Zhongwei Huang; Haijun Lei; Guoliang Chen 005; Haimei Li; Chuandong Li; Wenwen Gao; Yue Chen; Yaofa Wang; Haibo Xu; Guolin Ma; Baiying Lei (Appl. Soft Comput., 2022)

Joint segmentation and classification task via adversarial network: Application to HEp-2 cell images. - Hai Xie; Yejun He; Dong Xu; Jong Yih Kuo; Haijun Lei; Baiying Lei (Appl. Soft Comput., 2022)

Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network. - Haijun Lei; Yuchen Zhang; Hancong Li; Zhongwei Huang; Chien-Hung Liu; Feng Zhou 003; Ee-Leng Tan; Xiaohua Xiao; Yi Lei; Huoyou Hu; Yaohui Huang; Baiying Lei (Comput. Biol. Medicine, 2022)

Unsupervised Domain Adaptation Based Image Synthesis and Feature Alignment for Joint Optic Disc and Cup Segmentation. - Haijun Lei; Weixin Liu; Hai Xie; Benjian Zhao; Guanghui Yue 001; Baiying Lei (IEEE J. Biomed. Health Informatics, 2022)

Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data. - Zhongwei Huang; Haijun Lei; Guoliang Chen 005; Alejandro F. Frangi; Yanwu Xu 001; Ahmed Elazab; Jing Qin 001; Baiying Lei (IEEE Trans. Neural Networks Learn. Syst., 2022)

Self-supervised Distillation and Multi-scale Network for Parkinson's Disease Classification. - Haijun Lei; Shuyuan Lei; Chengjia Liang; Baiying Lei; Yuchen Zhang (BIBM, 2023)

Prior Information Guided Coarse-to-fine Dual-branch Encoding Network for Fovea Localization and Optic Disc/Cup Segmentation. - Haijun Lei; Hai Xie; Jia Zhao; Danrui Zhao; Limin Huang; Baiying Lei (BIBM, 2023)

Weakly Supervised Myeloma Cells Segmentation based on Point Annotation. - Haijun Lei; Jia Zhao; Guanjie Tong; Xinyun Qiu; Huaqiang Su; Baiying Lei (BIBM, 2023)

Dual Branch CNN and Transformer for Cardiac Atherosclerotic Plaque Classification. - Haijun Lei; Jia Zhao; Guanjie Tong; Longjiang Zhang; Huaqiang Su; Baiying Lei (BIBM, 2023)

Dual-branch Feature Interaction Network with Structure Information Learning for Retinopathy of Prematurity Classification. - Haijun Lei; Jia Zhao; Hai Xie; Yaling Liu; Guoming Zhang; Baiying Lei (BIBM, 2023)

Mutual Graph Learning Network and Diffusion Probabilistic Model-based Medical Image Segmentation. - Huaqiang Su; Haijun Lei; Guoliang Chen 005; Xin Chen 025; Baiying Lei (BIBM, 2023)

Gated CNN-Transformer Network for Automatic Cardiovascular Diagnosis using 12-lead Electrocardiogram. - Yuanlin Liu; Haiying Li; Jie Lin; Hairui Li; Haijun Lei; Chunmei Xia; Chunlun Xiao; Baiying Lei (EMBC, 2023)

USBDAN: Unsupervised Scale-aware and Boundary-aware Domain Adaptive Network for Gastric Tumor Segmentation. - Yongtao Zhang; Ning Yuan; Bing Liu; Aocai Yang; Hongwei Yu; Kuan Lv; Jixin Luan; Pianpian Hu; Haijun Lei; Tianfu Wang 001; Guolin Ma; Baiying Lei (EMBC, 2023)

Diagnosis of Covid-19 Via Multi-Layer Multi-Center Graph Attention Network. - Pingkang Li; Haijun Lei; Xuegang Song; Jia Zhao; Jialan Tang; Yukang Lei; Baiying Lei (ISBI, 2023)

Dual-Branch Attention Network and Swin Spatial Pyramid Pooling for Retinopathy of Prematurity Classification. - Jia Zhao; Haijun Lei; Hai Xie; Pingkang Li; Yaling Liu; Guoming Zhang; Baiying Lei (ISBI, 2023)

Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion. - Peng Yang 011; Yuchen Zhang; Haijun Lei; Yueyan Bian; Qi Yang; Baiying Lei (MICCAI (5), 2023)

Adversarial learning-based multi-level dense-transmission knowledge distillation for AP-ROP detection. - Hai Xie; Yaling Liu; Haijun Lei; Tiancheng Song; Guanghui Yue 001; Yueshanyi Du; Tianfu Wang 001; Guoming Zhang; Baiying Lei (Medical Image Anal., 2023)

LAC-GAN: Lesion attention conditional GAN for Ultra-widefield image synthesis. - Haijun Lei; Zhihui Tian; Hai Xie; Benjian Zhao; Xianlu Zeng; Jiuwen Cao; Weixin Liu; Jiantao Wang; Guoming Zhang; Shuqiang Wang; Baiying Lei (Neural Networks, 2023)

Early diagnosis and clinical score prediction of Parkinson's disease based on longitudinal neuroimaging data. - Haijun Lei; Yukang Lei; Zihao Chen; Shiqi Li; Zhongwei Huang; Feng Zhou 003; Ee-Leng Tan; Xiaohua Xiao; Yi Lei; Huoyou Hu; Yaohui Huang; Chien-Hung Liu; et al. (Neural Comput. Appl., 2023)

GL-DAE: Global-Local Denoising Auto-Encoder for Fundus Images Quality Representation Learning. - Xiangwen Cai; Haijun Lei; Hai Xie; Guoming Zhang; Baiying Lei (BIBM, 2024)

Spatiotemporal Feature Extraction and Fusion for Longitudinal Alzheimer's Disease Diagnosis. - Zhenghua Guan; Peng Yang 011; Haijun Lei; Bao Yang; Xuegang Song; Lei Dong; Xueqin Yan; Cuimei Wei; Chunhua Liang; Xiaohua Xiao; Tianfu Wang 001; Baiying Lei (BI (2), 2024)

DCI-FQA: Dual-Branch Cross Interaction Network for Fundus Quality Assessment. - Xiangwen Cai; Haijun Lei; Zhenquan Wu; Hai Xie; Guoming Zhang; Baiying Lei (ISBI, 2024)

Weak-Supervised Attention Fusion Network for Carotid Artery Vessel Wall Segmentation. - Haijun Lei; Guanjie Tong; Huaqiang Su; Baiying Lei (MICCAI (1), 2024)

Cross-Graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation. - Huaqiang Su; Haijun Lei; Guoliang Chen 005; Baiying Lei (MICCAI (1), 2024)

Feature fusion network for pulmonary nodule segmentation and EGFR classification using dual encoders. - Huaqiang Su; Haijun Lei; Zaiyi Liu; Lisha Yao; Suyun Li; Huan Lin; Guoliang Chen 005; Xin Chen 058; Baiying Lei (Expert Syst. Appl., 2025)