| 2025 | ICASSP | MMFN: Multi-Feature Multi-Modal Fusion Network for Diagnosis of Superficial Lymph Node Disease. | Yuankun Wang, Cheng Zhao, Yingxin Liu, Baiying Lei, Tianfu Wang, Luyao Zhou |
| 2025 | ICASSP | DARNet: A Dual Attention Residual Network for Medical Image Classification. | Ao Zhang, Zhenghua Guan, Tengda Zhang, Wenzheng Hu, Yi Liu, Baiying Lei |
| 2025 | ICONIP | ISSD-NET: Intra-student Self-distillation with Adaptive q-vMF Loss for Enhanced Semi-supervised Medical Segmentation. | Haowen Li, Guoheng Huang, Xiaochen Yuan, Yan Li, Chi-Man Pun, Baiying Lei, Zhixin Huang |
| 2025 | MICCAI | SABPI-Net: A Novel Structure-Aware Network for Accurate and Domain-Invariant Retinopathy of Prematurity Diagnosis. | Shaobin Chen, Xinyu Zhao, Huazhu Fu, Tao Tan, Jiaju Huang, Xiangyu Xiong, Zhenquan Wu, Behdad Dashtbozorg, Baiying Lei, Guoming Zhang, Yue Sun |
| 2025 | MICCAI | Anatomy-Guided Multimodal Graph Networks for Alzheimer's Disease: Integrative Analysis of Cross-Modal Brain Connectivity Signatures. | Wenzheng Hu, Zhenghua Guan, Peng Yang, Jiaqiang Li, Yi Liu, Shushen Gan, Tuo Cai, Ao Zhang, Tengda Zhang, Junlong Qu, Shaolong Wang, Gege Cai, Xiang Dong, Tianfu Wang, Baiying Lei |
| 2025 | MICCAI | Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks. | Huaqiang Su, Zaiyi Liu, Lisha Yao, Sunyun Li, Hun Lin, Guoliang Chen, Xin Chen, Haijun Lei, Baiying Lei |
| 2025 | MICCAI | Multiview Feature Fusion and Contrastive Learning for Drug-Target Interaction Prediction. | Xiaoting Zeng, Li Li, Yu Liang, Weilin Chen, Baiying Lei |
| 2024 | MICCAI | Multimodality Frequency Feature Customized Learning for Pediatric Ventricular Septal Defects Identification. | Feifei Jin, Cheng Zhao, Peng Yang, Zhuo Xiang, Xunyi Chen, Yu Zhang, Shumin Fan, Luyao Zhou, Weiling Chen, Tianfu Wang, Baiying Lei |
| 2024 | MICCAI | Weak-Supervised Attention Fusion Network for Carotid Artery Vessel Wall Segmentation. | Haijun Lei, Guanjie Tong, Huaqiang Su, Baiying Lei |
| 2024 | MICCAI | Cross-Graph Interaction and Diffusion Probability Models for Lung Nodule Segmentation. | Huaqiang Su, Haijun Lei, Guoliang Chen, Baiying Lei |
| 2024 | MICCAI | DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models. | Yingpeng Xie, Junlong Qu, Hai Xie, Tianfu Wang, Baiying Lei |
| 2023 | ICASSP | FedEEG: Federated EEG Decoding Via inter-Subject Structure Matching. | Wenlong Hang, Jiaxing Li, Shuang Liang, Yuan Wu, Baiying Lei, Jing Qin, Yu Zhang, Kup-Sze Choi |
| 2023 | MICCAI | Multi-relational Graph Convolutional Neural Networks for Carotid Artery Stenosis Diagnosis via Fundus Images. | Junlong Qu, Hai Xie, Yingpeng Xie, Huiling Hu, Jiaqiang Li, Yunlong Sun, Guoming Zhang, Baiying Lei |
| 2023 | MICCAI | PAS-Net: Rapid Prediction of Antibiotic Susceptibility from Fluorescence Images of Bacterial Cells Using Parallel Dual-Branch Network. | Wei Xiong, Kaiwei Yu, Liang Yang, Baiying Lei |
| 2023 | MICCAI | Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion. | Peng Yang, Yuchen Zhang, Haijun Lei, Yueyan Bian, Qi Yang, Baiying Lei |
| 2022 | CBMS | End-to-End Multi-task Learning Regression Network for Fovea Localization in Fundus Images. | Limin Huang, Haijun Lei, Weixin Liu, Zhen Li, Hai Xie, Baiying Lei |
| 2022 | CBMS | A Drug Repositioning Approach Using Drug and Disease Features. | Jialan Tang, Baiying Lei, Weilin Chen |
| 2022 | ICPR | Parkinson's Disease Classification with Self-supervised Learning and Attention Mechanism. | Yuchen Zhang, Haijun Lei, Zhongwei Huang, Zhen Li, Chuan-Ming Liu, Baiying Lei |
| 2022 | ICPR | Attention-based Graph Neural Network for the Classification of Parkinson's Disease. | Menglu Zhao, Haijun Lei, Zhongwei Huang, Yuchen Zhang, Zhen Li, Chuan-Ming Liu, Baiying Lei |
| 2022 | MICCAI | Reliability-Aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification. | Wenlong Hang, Yecheng Huang, Shuang Liang, Baiying Lei, Kup-Sze Choi, Jing Qin |
| 2022 | MICCAI | Hybrid Network Based on Cross-Modal Feature Fusion for Diagnosis of Alzheimer's Disease. | Zifeng Qiu, Peng Yang, Tianfu Wang, Baiying Lei |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | Multi-channel Residual Neural Network Based on Squeeze-and-Excitation for Osteoporosis Diagnosis. | Chunmei Xia, Yue Ding, Jionglin Wu, Wenqiang Luo, Peidong Guo, Tianfu Wang, Baiying Lei |
| 2022 | MICCAI | Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-Field Images. | Chunlun Xiao, Mingzhu Li, Liangge He, Xuegang Song, Tianfu Wang, Baiying Lei |
| 2021 | ICIG | Semi-supervised Attention-Guided VNet for Breast Cancer Detection via Multi-task Learning. | Yiyao Liu, Yi Yang, Wei Jiang, Tianfu Wang, Baiying Lei |
| 2021 | ICIG | Semi-supervised Yolo Network for Induced Pluripotent Stem Cells Detection. | Xinglie Wang, Jinqi Liao, Guanghui Yue, Liangge He, Mingzhu Li, Enmin Liang, Tianfu Wang, Guangqian Zhou, Baiying Lei |
| 2021 | MICCAI | Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation. | Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson |
| 2021 | MICCAI | A Method for Predicting Alzheimer's Disease Based on the Fusion of Single Nucleotide Polymorphisms and Magnetic Resonance Feature Extraction. | Yafeng Li, Yiyao Liu, Tianfu Wang, Baiying Lei |
| 2021 | MICCAI | Selective Learning from External Data for CT Image Segmentation. | Youyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin |
| 2021 | MICCAI | 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 |
| 2021 | MICCAI | Structure and Feature Based Graph U-Net for Early Alzheimer's Disease Prediction. | Yun Zhu, Xuegang Song, Yali Qiu, Chen Zhao, Baiying Lei |
| 2020 | AAAI | High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation. | Mohammad Hamghalam, Baiying Lei, Tianfu Wang |
| 2020 | ICPR | 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 |
| 2020 | ICPR | Semi-Supervised GANs with Complementary Generator Pair for Retinopathy Screening. | Yingpeng Xie, Qiwei Wan, Hai Xie, Baiying Lei, Ee-Leng Tan, Yanwu Xu |
| 2020 | MICCAI | Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis. | Nina Cheng, Alejandro Frangi, Zhiguo Zhang, Denao Deng, Lihua Zhao, Tianfu Wang, Yichen Wei, Bihan Yu, Wei Mai, Gaoxiong Duan, Xiucheng Nong, Chong Li, Jiahui Su, Baiying Lei |
| 2020 | MICCAI | 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 |
| 2020 | MICCAI | Brain MR to PET Synthesis via Bidirectional Generative Adversarial Network. | Shengye Hu, Yanyan Shen, Shuqiang Wang, Baiying Lei |
| 2020 | MICCAI | 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, Baiying Lei |
| 2020 | MICCAI | Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease. | Xuegang Song, Alejandro F. Frangi, Xiaohua Xiao, Jiuwen Cao, Tianfu Wang, Baiying Lei |
| 2020 | MICCAI | Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation. | Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin |
| 2020 | MICCAI | Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms. | Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin, Kup-Sze Choi |
| 2020 | MICCAI | Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder. | Peng Yang, Qiong Yang, Wei Zheng, Li Shen, Tianfu Wang, Ziwen Peng, Baiying Lei |
| 2020 | MICCAI | Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection. | Shuangzhi Yu, Shuqiang Wang, Xiaohua Xiao, Jiuwen Cao, Guanghui Yue, Dongdong Liu, Tianfu Wang, Yanwu Xu, Baiying Lei |
| 2020 | MICCAI | An Automated Aggressive Posterior Retinopathy of Prematurity Diagnosis System by Squeeze and Excitation Hierarchical Bilinear Pooling Network. | Rugang Zhang, Jinfeng Zhao, Guozhen Chen, Hai Xie, Guanghui Yue, Tianfu Wang, Guoming Zhang, Baiying Lei |
| 2020 | MICCAI | 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, Jiantao Wang, Guoming Zhang, Baiying Lei |
| 2019 | MICCAI | Automated Stage Analysis of Retinopathy of Prematurity Using Joint Segmentation and Multi-instance Learning. | Guozhen Chen, Jinfeng Zhao, Rugang Zhang, Tianfu Wang, Guoming Zhang, Baiying Lei |
| 2019 | MICCAI | Deep Learning via Fused Bidirectional Attention Stacked Long Short-Term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening. | Chiyu Feng, Lili Jin, Chuangyong Xu, Peng Yang, Tianfu Wang, Baiying Lei, Ziwen Peng |
| 2019 | MICCAI | Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation. | Libao Guo, Yujin Hu, Baiying Lei, Jie Du, Muyi Mao, Zelong Jin, Bei Xia, Tianfu Wang |
| 2019 | MICCAI | Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis. | Zhongwei Huang, Haijun Lei, Guoliang Chen, Shiqi Li, Hancong Li, Ahmed El-Azab, Baiying Lei |
| 2019 | MICCAI | Multi-template Based Auto-Weighted Adaptive Structural Learning for ASD Diagnosis. | Fanglin Huang, Peng Yang, Shan Huang, Le Ou-Yang, Tianfu Wang, Baiying Lei |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-Rank Feature Learning. | Haijun Lei, Yujia Zhao, Baiying Lei |
| 2019 | MICCAI | SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images. | Jiajun Liang, Rian Huang, Peiyao Kong, Shengli Li, Tianfu Wang, Baiying Lei |
| 2019 | MICCAI | Retinopathy Diagnosis Using Semi-supervised Multi-channel Generative Adversarial Network. | Yingpeng Xie, Qiwei Wan, Guozhen Chen, Yanwu Xu, Baiying Lei |
| 2019 | MICCAI | OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning. | Peng Yang, Lili Jin, Chuangyong Xu, Tianfu Wang, Baiying Lei, Ziwen Peng |
| 2019 | MICCAI | Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection. | Shuangzhi Yu, Guanghui Yue, Ahmed Elazab, Xuegang Song, Tianfu Wang, Baiying Lei |
| 2019 | MICCAI | Aggressive Posterior Retinopathy of Prematurity Automated Diagnosis via a Deep Convolutional Network. | Rugang Zhang, Jinfeng Zhao, Guozhen Chen, Tianfu Wang, Guoming Zhang, Baiying Lei |
| 2018 | AAAI | Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments. | Youyi Song, Jing Qin, Baiying Lei, Kup-Sze Choi |
| 2018 | ICPR | Multi-classification of Parkinson's Disease via Sparse Low-Rank Learning. | Haijun Lei, Yujia Zhao, Zhongwei Huang, Feng Zhou, Limin Huang, Baiying Lei |
| 2018 | ICPR | Skin Lesion Segmentation via Dense Connected Deconvolutional Network. | Hang Li, Xinzi He, Zhen Yu, Feng Zhou, Jie-Zhi Cheng, Limin Huang, Tianfu Wang, Baiying Lei |
| 2018 | ICPR | Deeply Supervised Residual Network for HEp-2 Cell Classification. | Hai Xie, Yejun He, Haijun Lei, Tao Han, Zhen Yu, Baiying Lei |
| 2018 | MICCAI | 3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis. | Chiyu Feng, Ahmed El-Azab, Peng Yang, Tianfu Wang, Baiying Lei, Xiaohua Xiao |
| 2018 | MICCAI | Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-scale Dense Networks. | Peiyao Kong, Dong Ni, Siping Chen, Shengli Li, Tianfu Wang, Baiying Lei |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | Multi-task Sparse Low-Rank Learning for Multi-classification of Parkinson's Disease. | Haijun Lei, Yujia Zhao, Baiying Lei |
| 2018 | MICCAI | Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN. | Zehui Lin, Minh Hung Le, Dong Ni, Siping Chen, Shengli Li, Tianfu Wang, Baiying Lei |
| 2017 | ISM | Using Stacked Denoising Autoencoder for the Student Dropout Prediction. | Jong Yih Kuo, Chia Wei Pan, Baiying Lei |
| 2017 | ISM | 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 |
| 2017 | ISM | Adaptive Sparse Learning for Neurodegenerative Disease Classification. | Haijun Lei, Yujia Zhao, Yuting Wen, Baiying Lei |
| 2017 | ISM | Performance Evaluation of Walking Imagery Training Based on Virtual Environment in Brain-Computer Interfaces. | Xiaolu Liu, Shuang Liang, Wenlong Hang, Baiying Lei, Qiong Wang, Jing Qin, Kup-Sze Choi |
| 2017 | MICCAI | Skin Lesion Segmentation via Deep RefineNet. | Xinzi He, Zhen Yu, Tianfu Wang, Baiying Lei |
| 2012 | IJCNN | Optimal watermarking scheme for breath sound. | Baiying Lei, Insu Song, Shah Atiqur Rahman |