Embedded Software Optimization for AVS-P7 Decoder Real-time Implementation on RISC Core. - Baiying Lei; Wenguang Jin; Jiwei Hu; Xiaodong Zhang (IEEE Trans. Consumer Electron., 2007)

A particle swarm optimization based audio watermarking scheme. - Bai Ying Lei; Ing Yann Soon; Zhen Li 047; Peng Dai 002 (ICICS, 2011)

A new blind robust image watermarking scheme in SVD-DCT composite domain. - Zhen Li 047; Kim-Hui Yap; Bai Ying Lei (ICIP, 2011)

A Robust Audio Watermarking Scheme Based on Lifting Wavelet Transform and Singular Value Decomposition. - Bai Ying Lei; Ing Yann Soon; Zhen Li 047 (IWDW, 2011)

Blind and robust audio watermarking scheme based on SVD-DCT. - Bai Ying Lei; Ing Yann Soon; Zhen Li 047 (Signal Process., 2011)

Optimal watermarking scheme for breath sound. - Baiying Lei; Insu Song; Shah Atiqur Rahman (IJCNN, 2012)

Logo Classification with Edge-Based DAISY Descriptor. - Bai Ying Lei; Vrizlynn L. L. Thing; Yu Chen; Wee-Yong Lim (ISM, 2012)

A multipurpose audio watermarking algorithm with synchronization and encryption. - Bai Ying Lei; Ing Yann Soon (J. Zhejiang Univ. Sci. C, 2012)

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)

Robust and secure watermarking scheme for breath sound. - Baiying Lei; Insu Song; Shah Atiqur Rahman (J. Syst. Softw., 2013)

Robust SVD-Based Audio Watermarking Scheme With Differential Evolution Optimization. - Bai Ying Lei; Ing Yann Soon; Ee-Leng Tan (IEEE Trans. Speech Audio Process., 2013)

Automatic grading of placental maturity based on LIOP and fisher vector. - Baiying Lei; Xinyao Li; Yuan Yao 007; Shengli Li 001; Siping Chen; Yongjin Zhou 002; Dong Ni 001; Tianfu Wang 001 (EMBC, 2014)

A deep learning based framework for accurate segmentation of cervical cytoplasm and nuclei. - Youyi Song; Ling Zhang 002; Siping Chen; Dong Ni 001; Baopu Li; Yongjing Zhou; Baiying Lei; Tianfu Wang 001 (EMBC, 2014)

Segmentation and Splitting of Touching Vaginal Bacteria Based on Superpixel and Effective Distance. - Youyi Song; Dong Ni 001; Liang He; Siping Chen; Bai Ying Lei; Tianfu Wang 001 (ICDM Workshops, 2014)

Sound-event partitioning and feature normalization for robust sound-event detection. - Baiying Lei; Man-Wai Mak (DSP, 2014)

Automatic recognition of fetal standard plane in ultrasound image. - Bai Ying Lei; Liu Zhuo; Siping Chen; Shengli Li 001; Dong Ni 001; Tianfu Wang 001 (ISBI, 2014)

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)

Content-based classification of breath sound with enhanced features. - Baiying Lei; Shah Atiqur Rahman; Insu Song (Neurocomputing, 2014)

Discriminative learning for automatic staging of placental maturity via multi-layer fisher vector. - Wanjun Li; Dong Ni 001; Siping Chen; Bai Ying Lei; Tianfu Wang 001; Yuan Yao 007; Shengli Li 001 (ICICS, 2015)

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)

Joint Learning of Multiple Longitudinal Prediction Models by Exploring Internal Relations. - Bai Ying Lei; Siping Chen; Dong Ni 001; Tianfu Wang 001 (MLMI, 2015)

A linear threshold-hurdle model for product adoption prediction incorporating social network effects. - Feng Zhou 003; Roger Jianxin Jiao; Bai Ying Lei (Inf. Sci., 2015)

Saliency-driven image classification method based on histogram mining and image score. - Bai Ying Lei; Ee-Leng Tan; Siping Chen; Dong Ni 001; Tianfu Wang 001 (Pattern Recognit., 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)

Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning. - Youyi Song; Ling Zhang 002; Siping Chen; Dong Ni 001; Bai Ying Lei; Tianfu Wang 001 (IEEE Trans. Biomed. Eng., 2015)

Fetal facial standard plane recognition via very deep convolutional networks. - Zhen Yu; Dong Ni 001; Siping Chen; Shengli Li 001; Tianfu Wang 001; Bai Ying Lei (EMBC, 2016)

Placental maturity evaluation via feature fusion and discriminative learning. - Wanjun Li; Yuan Yao 007; Dong Ni 001; Siping Chen; Bai Ying Lei; Tianfu Wang 001 (ISBI, 2016)

Segmenting overlapping cervical cell in Pap smear images. - Youyi Song; Jie-Zhi Cheng; Dong Ni 001; Siping Chen; Bai Ying Lei; Tianfu Wang 001 (ISBI, 2016)

Adaptive ensemble manifold learning for neuroimaging retrieval. - Yinan Zhuo; Dong Ni 001; Siping Chen; Bai Ying Lei; Tianfu Wang 001 (ISBI, 2016)

Bridging Computational Features Toward Multiple Semantic Features with Multi-task Regression: A Study of CT Pulmonary Nodules. - Sihong Chen; Dong Ni 001; Jing Qin 001; Bai Ying Lei; Tianfu Wang 001; Jie-Zhi Cheng (MICCAI (2), 2016)

Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression. - Dong Ni 001; Xing Ji; Yaozong Gao; Jie-Zhi Cheng; Huifang Wang; Jing Qin 001; Bai Ying Lei; Tianfu Wang 001; Guorong Wu 001; Dinggang Shen (MICCAI (2), 2016)

Robust scream sound detection via sound event partitioning. - Baiying Lei; Man-Wai Mak (Multim. Tools Appl., 2016)

Bilevel Game-Theoretic Optimization for Product Adoption Maximization Incorporating Social Network Effects. - Feng Zhou 003; Roger J. Jiao; Bai Ying Lei (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Ensemble prediction of longitudinal scores of Alzheimer's disease based on ℓ2, 1-norm regularized correntropy with spatial-temporal constraint. - Wen Hou; Bai Ying Lei; Wenbin Zou; Xia Li 006; Cishen Zhang (ISBI, 2017)

Longitudinal analysis for mild cognitive impairment identification via fused group learning with smooth regularization. - Bai Ying Lei; Xin Zhao 029; Dong Ni 001; Siping Chen; Tianfu Wang 001 (ISBI, 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)

Hybrid dermoscopy image classification framework based on deep convolutional neural network and Fisher vector. - Zhen Yu; Dong Ni 001; Siping Chen; Jing Qin 001; Shengli Li 001; Tianfu Wang 001; Bai Ying Lei (ISBI, 2017)

Using Stacked Denoising Autoencoder for the Student Dropout Prediction. - Jong Yih Kuo; Chia Wei Pan; Baiying Lei (ISM, 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)

Performance Evaluation of Walking Imagery Training Based on Virtual Environment in Brain-Computer Interfaces. - Xiaolu Liu; Shuang Liang 015; Wenlong Hang; Baiying Lei; Qiong Wang 001; Jing Qin 001; Kup-Sze Choi (ISM, 2017)

Skin Lesion Segmentation via Deep RefineNet. - Xinzi He; Zhen Yu; Tianfu Wang 001; Baiying Lei (DLMIA/ML-CDS@MICCAI, 2017)

Aggregating Deep Convolutional Features for Melanoma Recognition in Dermoscopy Images. - Zhen Yu; Xudong Jiang 001; Tianfu Wang 001; Bai Ying Lei (MLMI@MICCAI, 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)

Augmenting feature model through customer preference mining by hybrid sentiment analysis. - Feng Zhou 003; Roger Jianxin Jiao; Xi Jessie Yang; Bai Ying Lei (Expert Syst. Appl., 2017)

Affective parameter shaping in user experience prospect evaluation based on hierarchical Bayesian estimation. - Feng Zhou 003; Bai Ying Lei; Yitao Liu; Roger Jianxin Jiao (Expert Syst. Appl., 2017)

Assessment of liver fibrosis in chronic hepatitis B via multimodal data. - Bai Ying Lei; Yingxia Liu; Changfeng Dong; Xin Chen 025; Xinyu Zhang; Xian-Fen Diao; Guilin Yang; Jing Liu; Simin Yao; Hanying Li; Jing Yuan; Shaxi Li; et al. (Neurocomputing, 2017)

Automatic placental maturity grading via hybrid learning. - Bai Ying Lei; Ee-Leng Tan; Siping Chen; Wanjun Li; Dong Ni 001; Yuan Yao 007; Tianfu Wang 001 (Neurocomputing, 2017)

Multi-modal and multi-layout discriminative learning for placental maturity staging. - Bai Ying Lei; Wanjun Li; Yuan Yao 007; Xudong Jiang 001; Ee-Leng Tan; Jing Qin 001; Siping Chen; Dong Ni 001; Tianfu Wang 001 (Pattern Recognit., 2017)

Relational-Regularized Discriminative Sparse Learning for Alzheimer's Disease Diagnosis. - Bai Ying Lei; Peng Yang 011; Tianfu Wang 001; Siping Chen; Dong Ni 001 (IEEE Trans. Cybern., 2017)

FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks. - Lingyun Wu; Jie-Zhi Cheng; Shengli Li 001; Bai Ying Lei; Tianfu Wang 001; Dong Ni 001 (IEEE Trans. Cybern., 2017)

Segmentation, Splitting, and Classification of Overlapping Bacteria in Microscope Images for Automatic Bacterial Vaginosis Diagnosis. - Youyi Song; Liang He; Feng Zhou 003; Siping Chen; Dong Ni 001; Bai Ying Lei; Tianfu Wang 001 (IEEE J. Biomed. Health Informatics, 2017)

Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images. - Sihong Chen; Jing Qin 001; Xing Ji; Bai Ying Lei; Tianfu Wang 001; Dong Ni 001; Jie-Zhi Cheng (IEEE Trans. Medical Imaging, 2017)

Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images. - Youyi Song; Ee-Leng Tan; Xudong Jiang 001; Jie-Zhi Cheng; Dong Ni 001; Siping Chen; Bai Ying Lei; Tianfu Wang 001 (IEEE Trans. Medical Imaging, 2017)

Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments. - Youyi Song; Jing Qin 001; Baiying Lei; Kup-Sze Choi (AAAI, 2018)

A Coupled Modified Reaction Diffusion and Biomechanical Models for Cerebral Tumor Growth Modeling in Presence of Treatment. - Ahmed El-Azab; Hongmin Bai; Mengya Yang; Qingmao Hu; Minh Hung Le; Tianfu Wang 001; Baiying Lei (EMBC, 2018)

Join and Deep Ensemble Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal and Incomplete Data*. - Mengya Yang; Peng Yang 011; Ahmed El-Azab; Wen Hou; Xia Li 006; Tianfu Wang 001; Wenbin Zou; Baiying Lei (EMBC, 2018)

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)

Skin Lesion Segmentation via Dense Connected Deconvolutional Network. - Hang Li; Xinzi He; Zhen Yu; Feng Zhou 003; Jie-Zhi Cheng; Limin Huang; Tianfu Wang 001; 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)

Placental maturity grading via hybrid descriptors based on fisher vector. - Feng Jiang; Dong Ni 001; Siping Chen; Yuan Yao 007; Minh Hung Le; Tianfu Wang 001; Baiying Lei (ISBI, 2018)

Auto-context fully convolutional network for levator hiatus segmentation in ultrasoudn images. - Na Wang; Yi Wang 031; Huifang Wang; Baiying Lei; Tianfu Wang 001; Dong Ni 001 (ISBI, 2018)

3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis. - Chiyu Feng; Ahmed El-Azab; Peng Yang 011; Tianfu Wang 001; Baiying Lei; Xiaohua Xiao (PRIME@MICCAI, 2018)

Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-scale Dense Networks. - Peiyao Kong; Dong Ni 001; Siping Chen; Shengli Li 001; Tianfu Wang 001; Baiying Lei (DATRA/PIPPI@MICCAI, 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)

Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN. - Zehui Lin; Minh Hung Le; Dong Ni 001; Siping Chen; Shengli Li 001; Tianfu Wang 001; Baiying Lei (POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, 2018)

Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review. - Ahmed El-Azab; Yousry M. AbdulAzeem; Ahmed M. Anter; Qingmao Hu; Tianfu Wang 001; Baiying Lei (IEEE Access, 2018)

A Dense Phase Descriptor for Human Ear Recognition. - Mohamad Mahmoud Al Rahhal; Mohamed Lamine Mekhalfi; Mawloud Guermoui; Esam Othman; Baiying Lei; Awais Mahmood (IEEE Access, 2018)

Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder-decoder network. - Baiying Lei; Shan Huang; Ran Li; Cheng Bian; Hang Li; Yi-Hong Chou; Jie-Zhi Cheng (Neurocomputing, 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)

Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting. - Jing Li; Yi Wang 031; Baiying Lei; Jie-Zhi Cheng; Jing Qin 001; Tianfu Wang 001; Shengli Li 001; Dong Ni 001 (IEEE J. Biomed. Health Informatics, 2018)

A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition. - Zhen Yu; Ee-Leng Tan; Dong Ni 001; Jing Qin 001; Siping Chen; Shengli Li 001; Baiying Lei; Tianfu Wang 001 (IEEE J. Biomed. Health Informatics, 2018)

Convolutional 3D to 2D Patch Conversion for Pixel-Wise Glioma Segmentation in MRI Scans. - Mohammad Hamghalam; Baiying Lei; Tianfu Wang 001 (BrainLes@MICCAI (1), 2019)

Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans. - Mohammad Hamghalam; Baiying Lei; Tianfu Wang 001 (BrainLes@MICCAI (1), 2019)

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

Low Rank Self-calibrated Brain Network Estimation and Autoweighted Centralized Multi-Task Learning for Early Mild Cognitive Impairment Diagnosis. - Nina Cheng; Ahmed El-Azab; Peng Yang 011; Dongdong Liu; Shuangzhi Yu; Tianfu Wang 001; Baiying Lei (EMBC, 2019)

Fully Automatic Pediatric Echocardiography Segmentation Using Deep Convolutional Networks Based on BiSeNet. - Yujin Hu; Libao Guo; Baiying Lei; Muyi Mao; Zelong Jin; Ahmed Elazab; Bei Xia; Tianfu Wang 001 (EMBC, 2019)

MelanomaNet: An Effective Network for Melanoma Detection. - Rian Huang; Jiajun Liang; Feng Jiang; Feng Zhou 003; Nina Cheng; Tianfu Wang 001; Baiying Lei (EMBC, 2019)

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

Breast Cancer Image Classification via Multi-level Dual-network Features and Sparse Multi-Relation Regularized Learning. - Yongjun Wang; Fanglin Huang; Yongtao Zhang; Rugang Zhang; Baiying Lei; Tianfu Wang 001 (EMBC, 2019)

Joint and Long Short-Term Memory Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal Data. - Mengya Yang; Ahmed El-Azab; Peng Yang 011; Zaimin Xia; Tianfu Wang 001; Baiying Lei (EMBC, 2019)

Attention Based Semi-Supervised Dictionary Learning for Diagnosis of Autism Spectrum Disorders. - Meng Yang 001; Qin Zhong; Lin Chen; Fanglin Huang; Baiying Lei (ICME Workshops, 2019)

Sparse Low-rank Constrained Adaptive Structure Learning using Multi-template for Autism Spectrum Disorder Diagnosis. - Fanglin Huang; Ahmed El-Azab; Le Ou-Yang; Joseph Tan; Tianfu Wang 001; Baiying Lei (ISBI, 2019)

Decision-Augmented Generative Adversarial Network for Skin Lesion Segmentation. - Feng Jiang; Feng Zhou 003; Jing Qin 001; Tianfu Wang 001; Baiying Lei (ISBI, 2019)

AttentionNet: Learning Where to Focus via Attention Mechanism for Anatomical Segmentation of Whole Breast Ultrasound Images. - Hang Li; Jie-Zhi Cheng; Yi-Hong Chou; Jing Qin 001; Shan Huang; Baiying Lei (ISBI, 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)

JOint Shape Matching for Overlapping Cytoplasm Segmentation in Cervical Smear Images. - Youyi Song; Jing Qin 001; Baiying Lei; Shengfeng He; Kup-Sze Choi (ISBI, 2019)

Graph Convolutional Network Analysis for Mild Cognitive Impairment Prediction. - Xin Zhao 029; Feng Zhou 003; Le Ou-Yang; Tianfu Wang 001; Baiying Lei (ISBI, 2019)

Automated Stage Analysis of Retinopathy of Prematurity Using Joint Segmentation and Multi-instance Learning. - Guozhen Chen; Jinfeng Zhao; Rugang Zhang; Tianfu Wang 001; Guoming Zhang; Baiying Lei (OMIA@MICCAI, 2019)

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 011; Tianfu Wang 001; Baiying Lei; Ziwen Peng (PRIME@MICCAI, 2019)

Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation. - Libao Guo; Yujin Hu; Baiying Lei; Jie Du 001; Muyi Mao; Zelong Jin; Bei Xia; Tianfu Wang 001 (SUSI/PIPPI@MICCAI, 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)

Multi-template Based Auto-Weighted Adaptive Structural Learning for ASD Diagnosis. - Fanglin Huang; Peng Yang 011; Shan Huang; Le Ou-Yang; Tianfu Wang 001; Baiying Lei (MLMI@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)

SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images. - Jiajun Liang; Rian Huang; Peiyao Kong; Shengli Li 001; Tianfu Wang 001; Baiying Lei (SUSI/PIPPI@MICCAI, 2019)

Retinopathy Diagnosis Using Semi-supervised Multi-channel Generative Adversarial Network. - Yingpeng Xie; Qiwei Wan; Guozhen Chen; Yanwu Xu 001; Baiying Lei (OMIA@MICCAI, 2019)

OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning. - Peng Yang 011; Lili Jin; Chuangyong Xu; Tianfu Wang 001; Baiying Lei; Ziwen Peng (GLMI@MICCAI, 2019)

Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection. - Shuangzhi Yu; Guanghui Yue 001; Ahmed Elazab; Xuegang Song; Tianfu Wang 001; Baiying Lei (GLMI@MICCAI, 2019)

Aggressive Posterior Retinopathy of Prematurity Automated Diagnosis via a Deep Convolutional Network. - Rugang Zhang; Jinfeng Zhao; Guozhen Chen; Tianfu Wang 001; Guoming Zhang; Baiying Lei (OMIA@MICCAI, 2019)

Deep Learning Framework for Alzheimer's Disease Diagnosis via 3D-CNN and FSBi-LSTM. - Chiyu Feng; Ahmed El-Azab; Peng Yang 011; Tianfu Wang 001; Feng Zhou 003; Huoyou Hu; Xiaohua Xiao; Baiying Lei (IEEE Access, 2019)

A Deep Learning Framework for Identifying Zone I in RetCam Images. - Jinfeng Zhao; Baiying Lei; Zhenquan Wu; Yinsheng Zhang; Yafeng Li; Li Wang; Ruyin Tian; Yi Chen; Dahui Ma; Jiantao Wang; Tianfu Wang 001; Guozhen Chen; et al. (IEEE Access, 2019)

An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects. - Ahmed El-Azab; Ahmed M. Anter; Hongmin Bai; Qingmao Hu; Zakir Hussain; Dong Ni 001; Tianfu Wang 001; Baiying Lei (Appl. Soft Comput., 2019)

SANet: Superpixel Attention Network for Skin Lesion Attributes Detection. - Xinzi He; Baiying Lei; Tianfu Wang 001 (CoRR, 2019)

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

Multi-task learning for quality assessment of fetal head ultrasound images. - Zehui Lin; Shengli Li 001; Dong Ni 001; Yimei Liao; Huaxuan Wen; Jie Du 001; Siping Chen; Tianfu Wang 001; Baiying Lei (Medical Image Anal., 2019)

Multipurpose watermarking scheme via intelligent method and chaotic map. - Baiying Lei; Xin Zhao 029; Haijun Lei; Dong Ni 001; Siping Chen; Feng Zhou 003; Tianfu Wang 001 (Multim. Tools Appl., 2019)

Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features. - Zhen Yu; Xudong Jiang 001; Feng Zhou 003; Jing Qin 001; Dong Ni 001; Siping Chen; Baiying Lei; Tianfu Wang 001 (IEEE Trans. Biomed. Eng., 2019)

Joint Learning of Multiple Differential Networks With Latent Variables. - Le Ou-Yang; Xiao-Fei Zhang; Xing-Ming Zhao; Debby Dan Wang; Fu Lee Wang; Baiying Lei; Hong Yan 001 (IEEE Trans. Cybern., 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)

Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis. - Baiying Lei; Peng Yang 011; Yinan Zhuo; Feng Zhou 003; Dong Ni 001; Siping Chen; Xiaohua Xiao; Tianfu Wang 001 (IEEE J. Biomed. Health Informatics, 2019)

Dense Deconvolutional Network for Skin Lesion Segmentation. - Hang Li; Xinzi He; Feng Zhou 003; Zhen Yu; Dong Ni 001; Siping Chen; Tianfu Wang 001; Baiying Lei (IEEE J. Biomed. Health Informatics, 2019)

Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification. - Yang Li 010; Hao Yang 032; Baiying Lei; Jingyu Liu 002; Chong-Yaw Wee (IEEE Trans. Medical Imaging, 2019)

Corrections to "Accurate Cervical Cell Segmentation From Overlapping Clumps in Pap Smear Images". - Youyi Song; Ee-Leng Tan; Xudong Jiang 001; Jie-Zhi Cheng; Baiying Lei; Tianfu Wang 001 (IEEE Trans. Medical Imaging, 2019)

Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Adaptive Shape Priors Extracted From Contour Fragments. - Youyi Song; Lei Zhu 003; Jing Qin 001; Baiying Lei; Bin Sheng 001; Kup-Sze Choi (IEEE Trans. Medical Imaging, 2019)

High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation. - Mohammad Hamghalam; Baiying Lei; Tianfu Wang 001 (AAAI, 2020)

Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images. - Ahmed Elazab; Changmiao Wang; Syed Jamal Safdar Gardezi; Hongmin Bai; Tianfu Wang 001; Baiying Lei; Chunqi Chang (EMBC, 2020)

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)

Semi-Supervised GANs with Complementary Generator Pair for Retinopathy Screening. - Yingpeng Xie; Qiwei Wan; Hai Xie; Baiying Lei; Ee-Leng Tan; Yanwu Xu 001 (ICPR, 2020)

Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation. - Mohammad Hamghalam; Tianfu Wang 001; Jie Du 001; Baiying Lei (ISBI, 2020)

Walking Imagery Evaluation Based on Multi-view Features and Stacked Denoising Auto-encoder Network. - Enmin Liang; Ahmed Elazab; Shuang Liang 015; Qiong Wang 001; Tianfu Wang 001; Baiying Lei (ISBI, 2020)

Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory. - Dongdong Liu; Yanwu Xu 001; Ahmed Elazab; Peng Yang 011; Wei Wang 117; Tianfu Wang 001; Baiying Lei (ISBI, 2020)

CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images. - Youyi Song; Zhen Yu; Teng Zhou; Jeremy Yuen-Chun Teoh; Baiying Lei; Kup-Sze Choi; Jing Qin 001 (ISBI, 2020)

A Novel End-to-End Hybrid Network for Alzheimer's Disease Detection Using 3D CNN and 3D CLSTM. - Zaimin Xia; Guanghui Yue 001; Yanwu Xu 001; Chiyu Feng; Mengya Yang; Tianfu Wang 001; Baiying Lei (ISBI, 2020)

HBNet: Hybrid Blocks Network for Segmentation of Gastric Tumor from Ordinary CT Images. - Yongtao Zhang; Baiying Lei; Chao Fu; Jie Du 001; Xinjian Zhu; Xiaowei Han; Lei Du; Wenwen Gao; Tianfu Wang 001; Guolin Ma (ISBI, 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)

Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis. - Nina Cheng; Alejandro Frangi; Zhiguo Zhang 001; Denao Deng; Lihua Zhao; Tianfu Wang 001; Yichen Wei; Bihan Yu; Wei Mai; Gaoxiong Duan; Xiucheng Nong; Chong Li; et al. (MICCAI (7), 2020)

Brain MR to PET Synthesis via Bidirectional Generative Adversarial Network. - Shengye Hu; Yanyan Shen; Shuqiang Wang; Baiying Lei (MICCAI (2), 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)

Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease. - Xuegang Song; Alejandro F. Frangi; Xiaohua Xiao; Jiuwen Cao; Tianfu Wang 001; Baiying Lei (MICCAI (7), 2020)

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 001 (MICCAI (4), 2020)

Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms. - Youyi Song; Lei Zhu 003; Baiying Lei; Bin Sheng 001; Qi Dou 001; Jing Qin 001; Kup-Sze Choi (MICCAI (4), 2020)

Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder. - Peng Yang 011; Qiong Yang; Wei Zheng 009; Li Shen 001; Tianfu Wang 001; Ziwen Peng; Baiying Lei (MICCAI (7), 2020)

Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection. - Shuangzhi Yu; Shuqiang Wang; Xiaohua Xiao; Jiuwen Cao; Guanghui Yue 001; Dongdong Liu; Tianfu Wang 001; Yanwu Xu 001; Baiying Lei (MICCAI (7), 2020)

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 001; Tianfu Wang 001; Guoming Zhang; 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)

AIDAN: An Attention-Guided Dual-Path Network for Pediatric Echocardiography Segmentation. - Yujin Hu; Bei Xia; Muyi Mao; Zelong Jin; Jie Du 001; Libao Guo; Alejandro F. Frangi; Baiying Lei; Tianfu Wang 001 (IEEE Access, 2020)

Breast Cancer Image Classification via Multi-Network Features and Dual-Network Orthogonal Low-Rank Learning. - Yongjun Wang; Baiying Lei; Ahmed Elazab; Ee-Leng Tan; Wei Wang 117; Fanglin Huang; Xuehao Gong; Tianfu Wang 001 (IEEE Access, 2020)

Convolutional descriptors aggregation via cross-net for skin lesion recognition. - Zhen Yu; Feng Jiang; Feng Zhou 003; Xinzi He; Dong Ni 001; Siping Chen; Tianfu Wang 001; Baiying Lei (Appl. Soft Comput., 2020)

A deep network for sinogram and CT image reconstruction. - Wei Wang 117; Xiang-Gen Xia 001; Chuanjiang He; Zemin Ren; Jian Lu 002; Tianfu Wang 001; Baiying Lei (CoRR, 2020)

CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images. - Youyi Song; Zhen Yu; Teng Zhou; Jeremy Yuen-Chun Teoh; Baiying Lei; Kup-Sze Choi; Jing Qin 001 (CoRR, 2020)

Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation. - Youyi Song; Lei Zhu 003; Baiying Lei; Bin Sheng 001; Qi Dou 001; Jing Qin 001; Kup-Sze Choi (CoRR, 2020)

High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation. - Mohammad Hamghalam; Baiying Lei; Tianfu Wang 001 (CoRR, 2020)

Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression. - Feng Zhou 003; Tao Chen 003; Baiying Lei (CoRR, 2020)

A model-guided deep network for limited-angle computed tomography. - Wei Wang 117; Xiang-Gen Xia 001; Chuanjiang He; Zemin Ren; Jian Lu 002; Tianfu Wang 001; Baiying Lei (CoRR, 2020)

Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network. - Shuqiang Wang; Zhuo Chen; Wen Yu; Baiying Lei (CoRR, 2020)

Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain. - Senrong You; Yong Liu 018; Baiying Lei; Shuqiang Wang (CoRR, 2020)

Driver fatigue transition prediction in highly automated driving using physiological features. - Feng Zhou 003; Areen Alsaid; Mike Blommer; Reates Curry; Radhakrishnan Swaminathan; Dev S. Kochhar; Walter Talamonti; Louis Tijerina; Baiying Lei (Expert Syst. Appl., 2020)

Fine-grained facial expression analysis using dimensional emotion model. - Feng Zhou 003; Shu Kong; Charless C. Fowlkes; Tao Chen 003; Baiying Lei (Neurocomputing, 2020)

Self-weighted adaptive structure learning for ASD diagnosis via multi-template multi-center representation. - Fanglin Huang; Ee-Leng Tan; Peng Yang 011; Shan Huang; Le Ou-Yang; Jiuwen Cao; Tianfu Wang 001; Baiying Lei (Medical Image Anal., 2020)

Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease. - Baiying Lei; Nina Cheng; Alejandro F. Frangi; Ee-Leng Tan; Jiuwen Cao; Peng Yang 011; Ahmed Elazab; Jie Du 001; Yanwu Xu 001; Tianfu Wang 001 (Medical Image Anal., 2020)

Self-co-attention neural network for anatomy segmentation in whole breast ultrasound. - Baiying Lei; Shan Huang; Hang Li; Ran Li; Cheng Bian; Yi-Hong Chou; Jie Du 001; Peng Zhou; Xuehao Gong; Jie-Zhi Cheng (Medical Image Anal., 2020)

Skin lesion segmentation via generative adversarial networks with dual discriminators. - Baiying Lei; Zaimin Xia; Feng Jiang; Xudong Jiang 001; Zongyuan Ge; Yanwu Xu 001; Jie Du 001; Siping Chen; Tianfu Wang 001; Shuqiang Wang (Medical Image Anal., 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)

Hybrid descriptor for placental maturity grading. - Baiying Lei; Feng Jiang; Feng Zhou 003; Dong Ni 001; Yuan Yao 007; Siping Chen; Tianfu Wang 001 (Multim. Tools Appl., 2020)

GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images. - Ahmed Elazab; Changmiao Wang; Syed Jamal Safdar Gardezi; Hongmin Bai; Qingmao Hu; Tianfu Wang 001; Chunqi Chang; Baiying Lei (Neural Networks, 2020)

High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans. - Mohammad Hamghalam; Tianfu Wang 001; Baiying Lei (Neural Networks, 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)

Deep and joint learning of longitudinal data for Alzheimer's disease prediction. - Baiying Lei; Mengya Yang; Peng Yang 011; Feng Zhou 003; Wen Hou; Wenbin Zou; Xia Li 006; Tianfu Wang 001; Xiaohua Xiao; Shuqiang Wang (Pattern Recognit., 2020)

An End-to-End Deep Network for Reconstructing CT Images Directly From Sparse Sinograms. - Wei Wang 117; Xiang-Gen Xia 001; Chuanjiang He; Zemin Ren; Jian Lu 002; Tianfu Wang 001; Baiying Lei (IEEE Trans. Computational Imaging, 2020)

A Generic Quality Control Framework for Fetal Ultrasound Cardiac Four-Chamber Planes. - Jinbao Dong; Shengfeng Liu; Yimei Liao; Huaxuan Wen; Baiying Lei; Shengli Li 001; Tianfu Wang 001 (IEEE J. Biomed. Health Informatics, 2020)

Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification. - Yang Li 010; Jingyu Liu 002; Zhenyu Tang 002; Baiying Lei (IEEE Trans. Medical Imaging, 2020)

Alzheimer's Disease Prediction via the Association of Single Nucleotide Polymorphism with Brain Regions. - Yafeng Li; Yiyao Liu; Tianfu Wang 001; Baiying Lei (CCBR, 2021)

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)

Osteoporosis Diagnosis Based on Ultrasound Radio Frequency Signal via Multi-channel Convolutional Neural Network. - Zhiwei Chen; Wenqiang Luo; Qi Zhang 003; Baiying Lei; Tianfu Wang 001; Zhong Chen; Yuan Fu; Peidong Guo; Changchuan Li; Teng Ma; Yue Ding 007; Jiang Liu 001 (EMBC, 2021)

Placental Super Micro-vessels Segmentation Based on ResNeXt with Convolutional Block Attention and U-Net. - Minsi Chen; Cheng Zhao 003; Xiaoxian Tian; Yujian Liu; Tianfu Wang 001; Baiying Lei (EMBC, 2021)

3D Deep Attentive U-Net with Transformer for Breast Tumor Segmentation from Automated Breast Volume Scanner. - Yiyao Liu; Yi Yang 001; Wei Jiang; Tianfu Wang 001; Baiying Lei (EMBC, 2021)

Semi-supervised Attention-Guided VNet for Breast Cancer Detection via Multi-task Learning. - Yiyao Liu; Yi Yang 001; Wei Jiang; Tianfu Wang 001; Baiying Lei (ICIG (2), 2021)

Semi-supervised Yolo Network for Induced Pluripotent Stem Cells Detection. - Xinglie Wang; Jinqi Liao; Guanghui Yue 001; Liangge He; Mingzhu Li; Enmin Liang; Tianfu Wang 001; Guangqian Zhou; Baiying Lei (ICIG (2), 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)

Attention-guided Deep Multi-instance Learning for Staging Retinopathy of Prematurity. - Shaobin Chen; Rugang Zhang; Guozhen Chen; Jinfeng Zhao; Tianfu Wang 001; Guoming Zhang; Baiying Lei (ISBI, 2021)

Multi-channel Sparse Graph Transformer Network for Early Alzheimer's Disease Identification. - Yali Qiu; Shuangzhi Yu; Yanhong Zhou; Dongdong Liu; Xuegang Song; Tianfu Wang 001; Baiying Lei (ISBI, 2021)

Multi-scale Wavelet Network Algorithm for Pediatric Echocardiographic Segmentation via Feature Fusion. - Cheng Zhao 003; Bei Xia; Libao Guo; Jie Du 001; Weiling Chen; Tianfu Wang 001; Baiying Lei (ISBI, 2021)

Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation. - Mohammad Hamghalam; Alejandro F. Frangi; Baiying Lei; Amber L. Simpson (MICCAI (7), 2021)

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 001; Baiying Lei (ML-CDS@MICCAI, 2021)

Selective Learning from External Data for CT Image Segmentation. - Youyi Song; Lequan Yu; Baiying Lei; Kup-Sze Choi; Jing Qin 001 (MICCAI (1), 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)

Structure and Feature Based Graph U-Net for Early Alzheimer's Disease Prediction. - Yun Zhu; Xuegang Song; Yali Qiu; Chen Zhao; Baiying Lei (ML-CDS@MICCAI, 2021)

A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction. - Bowen Hu; Baiying Lei; Yanyan Shen; Yong Liu 018; Shuqiang Wang (PRCV (2), 2021)

Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis. - Junren Pan; Baiying Lei; Yanyan Shen; Yong Liu 018; Zhiguang Feng; Shuqiang Wang (PRCV (3), 2021)

Multi-directional Attention Network for Segmentation of Pediatric Echocardiographic. - Zhuo Xiang; Cheng Zhao 003; Libao Guo; Yali Qiu; Yun Zhu; Peng Yang 011; Wei Xiong; Mingzhu Li; Minsi Chen; Tianfu Wang 001; Baiying Lei (PRCV (3), 2021)

Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction. - Qiankun Zuo; Baiying Lei; Yanyan Shen; Yong Liu 018; Zhiguang Feng; Shuqiang Wang (PRCV (3), 2021)

Multi-scale wavelet network algorithm for pediatric echocardiographic segmentation via hierarchical feature guided fusion. - Cheng Zhao 003; Bei Xia; Weiling Chen; Libao Guo; Jie Du 001; Tianfu Wang 001; Baiying Lei (Appl. Soft Comput., 2021)

Quality evaluation of induced pluripotent stem cell colonies by fusing multi-source features. - Guanghui Yue 001; Jinqi Liao; Yongjun Wang; Liangge He; Tianfu Wang 001; Guangqian Zhou; Baiying Lei (Comput. Methods Programs Biomed., 2021)

A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions. - Wei Wang 117; Xiang-Gen Xia 001; Chuanjiang He; Zemin Ren; Jian Lu 002; Tianfu Wang 001; Baiying Lei (CoRR, 2021)

3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image. - Bowen Hu; Baiying Lei; Yong Liu 018; Min Gan; Bingchuan Wang; Shuqiang Wang (CoRR, 2021)

DecGAN: Decoupling Generative Adversarial Network detecting abnormal neural circuits for Alzheimer's disease. - Junren Pan; Baiying Lei; Shuqiang Wang; Bingchuan Wang; Yong Liu 018; Yanyan Shen (CoRR, 2021)

A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease. - Qiankun Zuo; Baiying Lei; Shuqiang Wang; Yong Liu 018; Bingchuan Wang; Yanyan Shen (CoRR, 2021)

Building Student Course Performance Prediction Model Based on Deep Learning. - Jong Yih Kuo; Hao-Ting Chung; Ping-Feng Wang; Baiying Lei (J. Inf. Sci. Eng., 2021)

Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography. - Libao Guo; Baiying Lei; Weiling Chen; Jie Du 001; Alejandro F. Frangi; Jing Qin 001; Cheng Zhao 003; Pengpeng Shi; Bei Xia; Tianfu Wang 001 (Medical Image Anal., 2021)

Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis. - Baiying Lei; Nina Cheng; Alejandro F. Frangi; Yichen Wei; Bihan Yu; Lingyan Liang; Wei Mai; Gaoxiong Duan; Xiucheng Nong; Chong Li; Jiahui Su; Tianfu Wang 001; et al. (Medical Image Anal., 2021)

Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction. - Xuegang Song; Feng Zhou 003; Alejandro F. Frangi; Jiuwen Cao; Xiaohua Xiao; Yi Lei; Tianfu Wang 001; Baiying Lei (Medical Image Anal., 2021)

Automated left ventricular segmentation from cardiac magnetic resonance images via adversarial learning with multi-stage pose estimation network and co-discriminator. - Huisi Wu; Xuheng Lu; Baiying Lei; Zhenkun Wen (Medical Image Anal., 2021)

SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation. - Huisi Wu; Wei Wang 117; Jiafu Zhong; Baiying Lei; Zhenkun Wen; Jing Qin 001 (Medical Image Anal., 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)

Automated detection of retinopathy of prematurity by deep attention network. - Baiying Lei; Xianlu Zeng; Shan Huang; Rugang Zhang; Guozhen Chen; Jinfeng Zhao; Tianfu Wang 001; Jiantao Wang; Guoming Zhang (Multim. Tools Appl., 2021)

Medical image fusion method based on dense block and deep convolutional generative adversarial network. - Cheng Zhao 003; Tianfu Wang 001; Baiying Lei (Neural Comput. Appl., 2021)

Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision. - Shuqiang Wang; Xiangyu Wang; Yong Hu 003; Yanyan Shen; Zhile Yang; Min Gan; Baiying Lei (IEEE Trans Autom. Sci. Eng., 2021)

Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment. - Peng Yang 011; Feng Zhou 003; Dong Ni 001; Yanwu Xu 001; Siping Chen; Tianfu Wang 001; Baiying Lei (IEEE Trans. Cybern., 2021)

Augmented Multicenter Graph Convolutional Network for COVID-19 Diagnosis. - Xuegang Song; Haimei Li; Wenwen Gao; Yue Chen; Tianfu Wang 001; Guolin Ma; Baiying Lei (IEEE Trans. Ind. Informatics, 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)

3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification. - Yongtao Zhang; Haimei Li; Jie Du 001; Jing Qin 001; Tianfu Wang 001; Yue Chen; Bing Liu; Wenwen Gao; Guolin Ma; Baiying Lei (IEEE Trans. Medical Imaging, 2021)

Maximum Correntropy Criterion-Based Hierarchical One-Class Classification. - Jiuwen Cao; Haozhen Dai; Baiying Lei; Chun Yin; Huanqiang Zeng; Anton Kummert (IEEE Trans. Neural Networks Learn. Syst., 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)

A Drug Repositioning Approach Using Drug and Disease Features. - Jialan Tang; Baiying Lei; Weilin Chen (CBMS, 2022)

Incremental Quaternion Random Neural Networks. - Xiaonan Cui; Tianlei Wang; Hao Chen; Baiying Lei; Pierre-Paul Vidal; Jiuwen Cao (ICCSIP, 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)

Faster R-CNN for IPSC-Derived Mesenchymal Stromal Cells Senescent Detection from Bright-Field Microscopy. - Mingzhu Li; Liangge He; Xinglie Wang; Tianfu Wang 001; Guanghui Yue 001; Guangqian Zhou; Baiying Lei (ISBI, 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)

Coordinate Transformer Network for Prediction of Pseudomonas Aeruginosa's Drug Resistance. - Wei Xiong; Kaiwei Yu; Yuming Cai; Liang Yang; Baiying Lei (ISBI, 2022)

Reliability-Aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification. - Wenlong Hang; Yecheng Huang; Shuang Liang 015; Baiying Lei; Kup-Sze Choi; Jing Qin 001 (MICCAI (1), 2022)

Hybrid Network Based on Cross-Modal Feature Fusion for Diagnosis of Alzheimer's Disease. - Zifeng Qiu; Peng Yang 011; Tianfu Wang 001; Baiying Lei (EPIMI/ML-CDS@MICCAI, 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-channel Residual Neural Network Based on Squeeze-and-Excitation for Osteoporosis Diagnosis. - Chunmei Xia; Yue Ding 007; Jionglin Wu; Wenqiang Luo; Peidong Guo; Tianfu Wang 001; Baiying Lei (CLIP@MICCAI, 2022)

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 001; Baiying Lei (MOVI@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)

Scale-adaptive super-feature based MetricUNet for brain tumor segmentation. - Yujian Liu; Jie Du 001; Chi-Man Vong; Guanghui Yue 001; Juan Yu; Yuli Wang; Baiying Lei; Tianfu Wang 001 (Biomed. Signal Process. Control., 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)

Self-supervised multi-modal fusion network for multi-modal thyroid ultrasound image diagnosis. - Zhuo Xiang; Qiuluan Zhuo; Cheng Zhao 003; Xiaofei Deng; Ting Zhu; Tianfu Wang 001; Wei Jiang; Baiying Lei (Comput. Biol. Medicine, 2022)

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Fengbin Lin; Jaemin Son; Sunho Kim; Gwenolé Quellec; Sarah Matta; Sharath M. Shankaranarayana; Yi-Ting Chen; et al. (CoRR, 2022)

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Jaemin Son; Shuang Yu; Menglu Zhang; Chenglang Yuan; Cheng Bian; Baiying Lei; Benjian Zhao; et al. (CoRR, 2022)

Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral Physiological Data Using SHAP-Explained Tree Ensembles. - Feng Zhou 003; Tao Chen 003; Baiying Lei (CoRR, 2022)

Predicting clinical scores for Alzheimer's disease based on joint and deep learning. - Baiying Lei; Enmin Liang; Mengya Yang; Peng Yang 011; Feng Zhou 003; Ee-Leng Tan; Yi Lei; Chuan-Ming Liu; Tianfu Wang 001; Xiaohua Xiao; Shuqiang Wang (Expert Syst. Appl., 2022)

Automatic diagnosis for aggressive posterior retinopathy of prematurity via deep attentive convolutional neural network. - Rugang Zhang; Jinfeng Zhao; Hai Xie; Tianfu Wang 001; Guozhen Chen; Guoming Zhang; Baiying Lei (Expert Syst. Appl., 2022)

Robust Maximum Mixture Correntropy Criterion Based One-Class Classification Algorithm. - Tianlei Wang; Jiuwen Cao; Haozhen Dai; Baiying Lei; Huanqiang Zeng (IEEE Intell. Syst., 2022)

Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM. - Baiying Lei; Yuwen Zhang; Dongdong Liu; Yanwu Xu 001; Guanghui Yue 001; Jiuwen Cao; Huoyou Hu; Shuangzhi Yu; Peng Yang 011; Tianfu Wang 001; Yali Qiu; Xiaohua Xiao; et al. (Knowl. Based Syst., 2022)

Fully transformer network for skin lesion analysis. - Xinzi He; Ee-Leng Tan; Hanwen Bi; Xuzhe Zhang; Shijie Zhao 001; Baiying Lei (Medical Image Anal., 2022)

FAT-Net: Feature adaptive transformers for automated skin lesion segmentation. - Huisi Wu; Shihuai Chen; Guilian Chen; Wei Wang 117; Baiying Lei; Zhenkun Wen (Medical Image Anal., 2022)

Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network. - Peng Yang 011; Cheng Zhao 003; Qiong Yang; Wei Zheng 009; Xiaohua Xiao; Li Shen 001; Tianfu Wang 001; Baiying Lei; Ziwen Peng (Medical Image Anal., 2022)

Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer. - Yongtao Zhang; Ning Yuan; Zhiguo Zhang 001; Jie Du 001; Tianfu Wang 001; Bing Liu; Aocai Yang; Kuan Lv; Guolin Ma; Baiying Lei (Medical Image Anal., 2022)

IFT-Net: Interactive Fusion Transformer Network for Quantitative Analysis of Pediatric Echocardiography. - Cheng Zhao 003; Weiling Chen; Jing Qin 001; Peng Yang 011; Zhuo Xiang; Alejandro F. Frangi; Minsi Chen; Shumin Fan; Wei Yu 002; Xunyi Chen; Bei Xia; Tianfu Wang 001; et al. (Medical Image Anal., 2022)

Brain stroke lesion segmentation using consistent perception generative adversarial network. - Shuqiang Wang; Zhuo Chen; Senrong You; Bingchuan Wang; Yanyan Shen; Baiying Lei (Neural Comput. Appl., 2022)

Epileptic Classification With Deep-Transfer-Learning-Based Feature Fusion Algorithm. - Jiuwen Cao; Dinghan Hu; Yaomin Wang; Jianzhong Wang; Baiying Lei (IEEE Trans. Cogn. Dev. Syst., 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)

ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Fengbin Lin; Jaemin Son; Sunho Kim; Gwenolé Quellec; Sarah Matta; Sharath M. Shankaranarayana; Yi-Ting Chen; et al. (IEEE Trans. Medical Imaging, 2022)

Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis. - Shengye Hu; Baiying Lei; Shuqiang Wang; Yong Wang 002; Zhiguang Feng; Yanyan Shen (IEEE Trans. Medical Imaging, 2022)

Virtual Adversarial Training-Based Deep Feature Aggregation Network From Dynamic Effective Connectivity for MCI Identification. - Yang Li 010; Jingyu Liu 002; Yiqiao Jiang; Yu Liu 021; Baiying Lei (IEEE Trans. Medical Imaging, 2022)

Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation. - Yang Li 010; Yue Zhang 045; Wei-Gang Cui; Baiying Lei; Xihe Kuang; Teng Zhang (IEEE Trans. Medical Imaging, 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)

Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment. - Wen Yu; Baiying Lei; Michael K. Ng 001; Albert C. Cheung; Yanyan Shen; Shuqiang Wang (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)

GTDDA: Graph Convolutional Network and Graph Transformer Structure for Drug Repositioning. - Jialan Tang; Weilin Chen; Xiaoting Zeng; Chuan-Ming Liu; Pingkang Li; Baiying Lei (BIBM, 2023)

Detection of Onset Time for Acute Ischemic Stroke Based on Multi-scale Features and Cross-Attention. - Bao Yang; Peng Yang 011; Zifeng Qiu; Yueyan Bian; Jiaqiang Li; Xiang Dong; Junlong Qu; Qi Yang; Baiying Lei (BrainLes/SWITCH@MICCAI, 2023)

Dense Swin Transformer for Classification of Thyroid Nodules. - Namu Baima; Tianfu Wang 001; Chong-Ke Zhao; Siping Chen; Chen Zhao; Baiying Lei (EMBC, 2023)

Fused Brain Functional Connectivity Network and Edge-attention Graph Convolution Network for Fibromyalgia Syndrome Diagnosis. - Yu Liang; Meijuan Long; Peng Yang 011; Tianfu Wang 001; Juan Jiao; Baiying Lei (EMBC, 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)

A Two-stage Diagnostic Framework for Post-ablation Treatment Response Assessment in Patients with Hepatocellular Carcinoma. - Xiaoyu Tian; Simin Ruan; Zhuo Xiang; Mingde Li; Cheng Zhao 003; Minsi Chen; Danni He; Namu Baima; Wei Wang 117; Siping Chen; Tianfu Wang 001; Baiying Lei (EMBC, 2023)

Graph Convolution and Self-attention Enhanced CNN with Domain Adaptation for Multi-site COVID-19 Diagnosis. - Jing Zhang; Yiyao Liu; Baiying Lei; Dandan Sun; Ruidong Huang; Tianfu Wang 001; Siping Chen; Kuntao Chen (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)

FedEEG: Federated EEG Decoding Via inter-Subject Structure Matching. - Wenlong Hang; Jiaxing Li; Shuang Liang 015; Yuan Wu; Baiying Lei; Jing Qin 001; Yu Zhang 009; Kup-Sze Choi (ICASSP, 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 Multimodal Fusion Network for Skin Lesions Diagnosis using Clinical and Ultrasound Image. - Chunlun Xiao; Anqi Zhu; Chunmei Xia; Yuanlin Liu; Zifeng Qiu; Qiao Wang; Weiwei Ren; Dandan Shan; Tianfu Wang 001; Lehang Guo; Baiying Lei (ISBI, 2023)

Multi-national COVID-19 CT Image-label Pairs Synthesis via Few-Shot GANs Adaptation. - Jing Zhang; Yingpeng Xie; Dandan Sun; Ruidong Huang; Tianfu Wang 001; Baiying Lei; Kuntao Chen (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)

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 (OMIA@MICCAI, 2023)

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 (MICCAI (8), 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)

A Super Token Vision Transformer and CNN Parallel Branch Network for mCNV Lesion Segmentation in OCT Images. - Xiang Dong; Hai Xie; Yunlong Sun; Zhenquan Wu; Bao Yang; Junlong Qu; Guoming Zhang; Baiying Lei (MLMI@MICCAI (1), 2023)

COVID-19 Diagnosis Based on Swin Transformer Model with Demographic Information Fusion and Enhanced Multi-head Attention Mechanism. - Yunlong Sun; Yiyao Liu; Junlong Qu; Xiang Dong; Xuegang Song; Baiying Lei (MLMI@MICCAI (2), 2023)

Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline. - Xuhang Chen 002; Baiying Lei; Chi-Man Pun; Shuqiang Wang (PRCV (13), 2023)

SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image. - Bowen Hu; Baiying Lei; Shuqiang Wang (CoRR, 2023)

Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI. - Qiankun Zuo; Baiying Lei; Ning Zhong 001; Yi Pan 001; Shuqiang Wang (CoRR, 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)

Multi-scale enhanced graph convolutional network for mild cognitive impairment detection. - Baiying Lei; Yun Zhu; Shuangzhi Yu; Huoyou Hu; Yanwu Xu 001; Guanghui Yue 001; Tianfu Wang 001; Cheng Zhao 003; Shaobin Chen; Peng Yang 011; Xuegang Song; Xiaohua Xiao; et al. (Pattern Recognit., 2023)

Attention-Guided Pyramid Context Network for Polyp Segmentation in Colonoscopy Images. - Guanghui Yue 001; Siying Li; Runmin Cong; Tianwei Zhou; Baiying Lei; Tianfu Wang 001 (IEEE Trans. Instrum. Meas., 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)

Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network. - Xuegang Song; Feng Zhou 003; Alejandro F. Frangi; Jiuwen Cao; Xiaohua Xiao; Yi Lei; Tianfu Wang 001; Baiying Lei (IEEE Trans. Medical Imaging, 2023)

OCD diagnosis via smooth sparse network and fused sparse auto-encoder learning. - Peng Yang 011; Wei Zheng 009; Qiong Yang; Xiaohua Xiao; Tianfu Wang 001; Baiying Lei; Ziwen Peng (Expert Syst. Appl., 2023)

TA-GAN: transformer-driven addiction-perception generative adversarial network. - Changhong Jing; Changwei Gong; Zuxin Chen; Baiying Lei; Shuqiang Wang (Neural Comput. Appl., 2023)

Data Discernment for Affordable Training in Medical Image Segmentation. - Youyi Song; Lequan Yu; Baiying Lei; Kup-Sze Choi; Jing Qin 001 (IEEE Trans. Medical Imaging, 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)

Morphological Feature Visualization of Alzheimer's Disease via Multidirectional Perception GAN. - Wen Yu; Baiying Lei; Shuqiang Wang; Yong Liu 018; Zhiguang Feng; Yong Hu 003; Yanyan Shen; Michael K. Ng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Structure invariance-driven collaborative contrastive network for EEG decoding. - Shuang Liang 015; Zengguang Li; Wenlong Hang; Yuanpeng Zhang; Baiying Lei; Jing Qin 001; Yu Zhang 009; Kup-Sze Choi (Biomed. Signal Process. Control., 2023)

GIONet: Global information optimized network for multi-center COVID-19 diagnosis via COVID-GAN and domain adversarial strategy. - Jing Zhang; Yiyao Liu; Baiying Lei; Dandan Sun; Siqi Wang; Changning Zhou; Xing Ding; Yang Chen; Fen Chen; Tianfu Wang 001; Ruidong Huang; Kuntao Chen (Comput. Biol. Medicine, 2023)

FIT-Net: Feature Interaction Transformer Network for Pathologic Myopia Diagnosis. - Shaobin Chen; Zhenquan Wu; Mingzhu Li; Yun Zhu; Hai Xie; Peng Yang 011; Cheng Zhao 003; Yongtao Zhang; Shaochong Zhang; Xinyu Zhao; Lin Lu; Guoming Zhang; et al. (IEEE Trans. Medical Imaging, 2023)

Fundus Image-Label Pairs Synthesis and Retinopathy Screening via GANs With Class-Imbalanced Semi-Supervised Learning. - Yingpeng Xie; Qiwei Wan; Hai Xie; Yanwu Xu 001; Tianfu Wang 001; Shuqiang Wang; Baiying Lei (IEEE Trans. Medical Imaging, 2023)

Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain. - Senrong You; Baiying Lei; Shuqiang Wang; Charles K. Chui; Albert C. Cheung; Yong Liu 018; Min Gan; Guo-Cheng Wu 001; Yanyan Shen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis. - Baiying Lei; Yun Zhu; Enmin Liang; Peng Yang 011; Shaobin Chen; Huoyou Hu; Haoran Xie 001; Ziyi Wei; Fei Hao; Xuegang Song; Tianfu Wang 001; Xiaohua Xiao; et al. (IEEE Trans. Medical Imaging, 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)

OCD Diagnosis with Multiple Spatial Similarity-Aware Learning and Diffusion Structure-Aware Graph Convolutional Network. - Yu Liang; Chen Zhao; Tianfu Wang 001; Ziwen Peng; Peng Yang 011; Baiying Lei (BIBM, 2024)

Hypergraph-based Self-supervised Multi-channel Network for Drug-target Interaction Prediction. - Xiaoting Zeng; Yu Liang; Peng Yang 011; Weilin Chen; Baiying Lei (BIBM, 2024)

Federated Multi-source Domain Adaptation via Vision Transformer for Multi-site Alzheimer's Diagnosis. - Tuo Cai; Baiying Lei; Xueqin Yan; Cuimei Wei; Chunhua Liang; Xiaohua Xiao; Yunzhu Yang; Tianfu Wang 001; Peng Yang 011 (BI (2), 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)

Intelligent Diagnosis Platform for Alzheimer's Disease Based on Multi-modal Knowledge Graph. - Jiaqiang Li; Peng Yang 011; Jiuwen Cao; Zhenghua Guan; Junlong Qu; Lei Dong; Xueqin Yan; Cuimei Wei; Chunhua Liang; Xiaohua Xiao; Tianfu Wang 001; Baiying Lei (BI (2), 2024)

Dual Attention Graph Convolutional Network Fusing Imaging and Genetic Data for Early Alzheimer's Disease Diagnosis. - Jiaqiang Li; Peng Yang 011; Junlong Qu; Bao Yang; Zhenghua Guan; Xuegang Song; Xiaohua Xiao; Tianfu Wang 001; Baiying Lei (EMBC, 2024)

Via Multi-attention Guided UNet for Thyroid Nodule Segmentation of Ultrasound Images. - Xupeng Wang; Zhuo Xiang; Xiaoyu Tian; Cheng Zhao 003; Chuan-Ming Liu; Tianfu Wang 001; Chong-Ke Zhao; Bai Ying Lei (EMBC, 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)

Multi-scale 3D Convolutional LSTM for Longitudinal Alzheimer's Disease Identification. - Zhenghua Guan; Xuegang Song; Peng Yang 011; Jiaqiang Li; Bao Yang; Xiaohua Xiao; Chuanming Liu; Tianfu Wang 001; Baiying Lei (ISBI, 2024)

Key Point Guide Network for Infant Echocardiographic Segmentation. - Xupeng Wang; Zhuo Xiang; Weiling Chen; Chuan-Ming Liu; Xiaoyu Tian; Cheng Zhao 003; Shumin Fan; Wei Yu 002; Xunyi Chen; Tianfu Wang 001; Bei Xia; Baiying Lei (ISBI, 2024)

Multimodality Frequency Feature Customized Learning for Pediatric Ventricular Septal Defects Identification. - Feifei Jin; Cheng Zhao 003; Peng Yang 011; Zhuo Xiang; Xunyi Chen; Yu Zhang 009; Shumin Fan; Luyao Zhou; Weiling Chen; Tianfu Wang 001; Baiying Lei (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 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)

DiffDGSS: Generalizable Retinal Image Segmentation with Deterministic Representation from Diffusion Models. - Yingpeng Xie; Junlong Qu; Hai Xie; Tianfu Wang 001; Baiying Lei (MICCAI (8), 2024)

A Novel Diffusion Model with Wavelet Transform for Optic Disc and Cup Segmentation in Fundus Images. - Xiang Dong; Hai Xie; Li Li; Bao Yang; Tianfu Wang 001; Baiying Lei (PRCV (15), 2024)

Multi-modality Correlation Learning Network for Pediatric Ventricular Septal Defects Identification. - Feifei Jin; Cheng Zhao 003; Zhuo Xiang; Xunyi Chen; Yu Zhang 009; Shumin Fan; Luyao Zhou; Weiling Chen; Tianfu Wang 001; Baiying Lei (PRCV (15), 2024)

Misclassification Detection via Counterexample Learning for Trustworthy Cervical Cancer Screening. - Li Li; Youyi Song; Xiang Dong; Peng Yang 011; Tianfu Wang 001; Baiying Lei (PRCV (11), 2024)

Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics. - Xieling Chen; Haoran Xie 001; Xiaohui Tao 001; Fu Lee Wang; Mingming Leng; Baiying Lei (Artif. Intell. Rev., 2024)

COVID-19 diagnosis based on swin transformer model with demographic information fusion and enhanced multi-head attention mechanism. - Yunlong Sun; Jingge Lian; Ze Teng; Ziyi Wei; Yi Tang; Liu Yang; Yajuan Gao; Tianfu Wang 001; Hongfeng Li; Meng Xu; Baiying Lei (Expert Syst. Appl., 2024)

CMRVAE: Contrastive margin-restrained variational auto-encoder for class-separated domain adaptation in cardiac segmentation. - Lihong Qiao; Rui Wang; Yucheng Shu; Bin Xiao 002; Xidong Xu; Baobin Li; Le Yang; Weisheng Li 001; Xinbo Gao 001; Baiying Lei (Knowl. Based Syst., 2024)

Alzheimer's disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network. - Baiying Lei; Yafeng Li; Wanyi Fu; Peng Yang 011; Shaobin Chen; Tianfu Wang 001; Xiaohua Xiao; Tianye Niu; Yu Fu; Shuqiang Wang; Hongbin Han; Jing Qin 001 (Medical Image Anal., 2024)

Multi-national CT image-label pairs synthesis for COVID-19 diagnosis via few-shot generative adversarial networks adaptation. - Jing Zhang; Yingpeng Xie; Dandan Sun; Ruidong Huang; Tianfu Wang 001; Baiying Lei; Kuntao Chen (Neural Comput. Appl., 2024)

Federated learning using model projection for multi-center disease diagnosis with non-IID data. - Jie Du 001; Wei Li; Peng Liu 070; Chi-Man Vong; Yongke You; Baiying Lei; Tianfu Wang 001 (Neural Networks, 2024)

Hybrid federated learning with brain-region attention network for multi-center Alzheimer's disease detection. - Baiying Lei; Yu Liang; Jiayi Xie; You Wu; Enmin Liang; Yong Liu 018; Peng Yang 011; Tianfu Wang 001; Chuan-Ming Liu; Jichen Du; Xiaohua Xiao; Shuqiang Wang (Pattern Recognit., 2024)

Generative AI Enables Synthesizing Cross-Modality Brain Image via Multi-Level-Latent Representation Learning. - Senrong You; Bin Yuan; Zhihan Lyu; Charles K. Chui; C. L. Philip Chen; Baiying Lei; Shuqiang Wang (IEEE Trans. Computational Imaging, 2024)

Cell classification with worse-case boosting for intelligent cervical cancer screening. - Youyi Song; Jing Zou; Kup-Sze Choi; Baiying Lei; Jing Qin 001 (Medical Image Anal., 2024)

End-to-End Prediction of EGFR Mutation Status With Denseformer. - Shijie Zhao 001; Wenyuan Li; Zhuoyan Liu; Tianji Pang; Yang Yang 133; Ning Qiang; Jingyi Zhao; Bangguo Li; Baiying Lei; Junwei Han 001 (IEEE J. Biomed. Health Informatics, 2024)

Echocardiographic segmentation based on semi-supervised deep learning with attention mechanism. - Jiajun Liang; Huijuan Pan; Zhuo Xiang; Jing Qin 001; Yali Qiu; Libao Guo; Tianfu Wang 001; Wei Jiang; Baiying Lei (Multim. Tools Appl., 2024)

SpecTr: Spectral Transformer for Microscopic Hyperspectral Pathology Image Segmentation. - Boxiang Yun; Baiying Lei; Jieneng Chen; Huiyu Wang; Song Qiu; Wei Shen 002; Qingli Li; Yan Wang 033 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer's Disease. - Qiankun Zuo; Huisi Wu; C. L. Philip Chen; Baiying Lei; Shuqiang Wang (IEEE Trans. Cybern., 2024)

Adaptive Multimodel Knowledge Transfer Matrix Machine for EEG Classification. - Shuang Liang 015; Wenlong Hang; Baiying Lei; Jun Wang 024; Jing Qin 001; Kup-Sze Choi; Yu Zhang 009 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks. - Changhong Jing; Yanyan Shen; Shen Zhao; Yi Pan 001; C. L. Philip Chen; Baiying Lei; Shuqiang Wang (IEEE Trans. Cybern., 2024)

3D Multimodal Fusion Network With Disease-Induced Joint Learning for Early Alzheimer's Disease Diagnosis. - Zifeng Qiu; Peng Yang 011; Chunlun Xiao; Shuqiang Wang; Xiaohua Xiao; Jing Qin 001; Chuan-Ming Liu; Tianfu Wang 001; Baiying Lei (IEEE Trans. Medical Imaging, 2024)

DecGAN: Decoupling Generative Adversarial Network for Detecting Abnormal Neural Circuits in Alzheimer's Disease. - Junren Pan; Qiankun Zuo; Bing-Chuan Wang; C. L. Philip Chen; Baiying Lei; Shuqiang Wang (IEEE Trans. Artif. Intell., 2024)

3-D Brain Reconstruction by Hierarchical Shape-Perception Network From a Single Incomplete Image. - Bowen Hu; Choujun Zhan; Buzhou Tang; Bingchuan Wang; Baiying Lei; Shuqiang Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

MHW-GAN: Multidiscriminator Hierarchical Wavelet Generative Adversarial Network for Multimodal Image Fusion. - Cheng Zhao 003; Peng Yang 011; Feng Zhou 003; Guanghui Yue 001; Shuigen Wang; Huisi Wu; Guoliang Chen 005; Tianfu Wang 001; Baiying Lei (IEEE Trans. Neural Networks Learn. Syst., 2024)

Specificity-Aware Federated Learning With Dynamic Feature Fusion Network for Imbalanced Medical Image Classification. - Guanghui Yue 001; Peishan Wei; Tianwei Zhou; Youyi Song; Cheng Zhao 003; Tianfu Wang 001; Baiying Lei (IEEE J. Biomed. Health Informatics, 2024)

CAT-DTI: cross-attention and Transformer network with domain adaptation for drug-target interaction prediction. - Xiaoting Zeng; Weilin Chen; Baiying Lei (BMC Bioinform., 2024)

A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning. - Yongcheng Zong; Qiankun Zuo; Michael Kwok-Po Ng; Baiying Lei; Shuqiang Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MMFN: Multi-Feature Multi-Modal Fusion Network for Diagnosis of Superficial Lymph Node Disease. - Yuankun Wang; Cheng Zhao 003; Yingxin Liu; Baiying Lei; Tianfu Wang 001; Luyao Zhou (ICASSP, 2025)

DARNet: A Dual Attention Residual Network for Medical Image Classification. - Ao Zhang; Zhenghua Guan; Tengda Zhang; Wenzheng Hu; Yi Liu; Baiying Lei (ICASSP, 2025)

3D Multi-Modal Feature Interaction Fusion Network for Early Alzheimer's Disease Diagnosis. - Gege Cai; Zhenghua Guan; Xiangwen Cai; Nina Cheng; Wenzheng Hu; Tengda Zhang; Yi Liu; Baiying Lei (ISBI, 2025)

Age Knowledge Guided CNN-Transformer Network for Alzheimer's Disease Diagnosis. - Teng Cheng; Zhenghua Guan; Junlong Qu; Jiaqiang Li; Baiying Lei; Xuegang Song (ISBI, 2025)

Multi-Modal Fusion Network Integrating Imaging and Clinical Tabular Data for Alzheimer's Disease Classification. - Wenzheng Hu; Zhenghua Guan; Nina Cheng; Ao Zhang; Yi Liu; Tianfu Wang 001; Baiying Lei (ISBI, 2025)

Utilizing State Space Model for Diffusion Processes in Breast Tumor Pathological Image Super-Resolution. - Yiyao Liu; Peng Yang 011; Tianfu Wang 001; Baiying Lei (ISBI, 2025)

Knowledge-Aware Multi-Source Domain Adaptation Network for Osteoporosis Diagnosis from Ultrasonic Radio Frequency Signals. - Xuan Zhang; Yue Ding 007; Jionglin Wu; Haoxian Liu; Yongtao Zhang; Tianfu Wang 001; Baiying Lei (ISBI, 2025)

LWV-UNet: Lightweight Vision Transformer UNet for Nasopharyngeal Carcinoma Image Segmentation. - Tengda Zhang; Yongtao Zhang; Yu Ren; Ao Zhang; Gege Cai; Wenzheng Hu; Yi Liu; Baiying Lei (ISBI, 2025)

Feature knowledge distillation-based model lightweight for prohibited item detection in X-ray security inspection images. - Yu Ren; Lun Zhao; Yongtao Zhang; Yiyao Liu; Jinfeng Yang; Haigang Zhang; Baiying Lei (Adv. Eng. Informatics, 2025)

Multi-scale frequency feature fusion transformer for pediatric echocardiography analysis. - Cheng Zhao 003; Yuanlin Liu; Weiling Chen; Zhuo Xiang; Yiyao Liu; Bei Xia; Jing Qin 001; Tianfu Wang 001; Baiying Lei (Appl. Soft Comput., 2025)

Label-guided graph learning network via two-stage cross-modal fusion for multi-label skin disease diagnosis. - Cheng Zhao 003; Chunlun Xiao; Feifei Jin; Anqi Zhu; Zhuo Xiang; Yiyao Liu; Lehang Guo; Tianfu Wang 001; Baiying Lei (Eng. Appl. Artif. Intell., 2025)

Locally similar multi-hop fusion GNNs with data augmentation for early Alzheimer's detection. - Gai Li; Yuwen Zhang; Xuegang Song; Peng Yang 011; Lei Dong; Yaohui Huang; Xiaohua Xiao; Tianfu Wang 001; Shuqiang Wang; Baiying Lei (Expert Syst. Appl., 2025)

FreqUNet: a lightweight dual-branch network with frequency-aware decomposition for retinal vessel segmentation. - Ke Li 037; Yujiao Zhang; Tianfu Wang 001; Baiying Lei (Expert Syst. Appl., 2025)

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)

MSMMIL: Multi-scan Mamba-based Multiple Instance Learning for whole slide image classification. - Haiqin Zhong; Meidan Ding; Cheng Zhao 003; Yongtao Zhang; Tianfu Wang 001; Baiying Lei (Knowl. Based Syst., 2025)

Diff-UNet: A diffusion embedded network for robust 3D medical image segmentation. - Zhaohu Xing; Liang Wan; Huazhu Fu; Guang Yang 006; Yijun Yang; Lequan Yu; Baiying Lei; Lei Zhu 003 (Medical Image Anal., 2025)

ABVS breast tumour segmentation via integrating CNN with dilated sampling self-attention and feature interaction Transformer. - Yiyao Liu; Jinyao Li; Yi Yang 001; Cheng Zhao 003; Yongtao Zhang; Peng Yang 011; Lei Dong; Xiaofei Deng; Ting Zhu; Tianfu Wang 001; Wei Jiang; Baiying Lei (Neural Networks, 2025)

An object detection-based model for automated screening of stem-cells senescence during drug screening. - Yu Ren; Youyi Song; Mingzhu Li; Liangge He; Chunlun Xiao; Peng Yang 011; Yongtao Zhang; Cheng Zhao 003; Tianfu Wang 001; Guangqian Zhou; Baiying Lei (Neural Networks, 2025)

Federated learning via multi-attention guided UNet for thyroid nodule segmentation of ultrasound images. - Zhuo Xiang; Xiaoyu Tian; Yiyao Liu; Minsi Chen; Cheng Zhao 003; Li-Na Tang; En-Sheng Xue; Qi Zhou; Bin Shen; Fang Li; Qin Chen; Hong-Yuan Xue; et al. (Neural Networks, 2025)

BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment. - Qiankun Zuo; Ling Chen; Yanyan Shen; Michael Kwok-Po Ng; Baiying Lei; Shuqiang Wang (IEEE Trans Autom. Sci. Eng., 2025)

Clip-Driven Universal Model for Multi-Material Decomposition in Dual-Energy CT. - Xianghong Wang; Jiajun Xiang; Aihua Mao; Jiayi Xie; Peng Jin; Mingchao Ding; Yixuan Yuan; Yanye Lu; Lequan Yu; Hongmin Cai; Baiying Lei; Tianye Niu (IEEE Trans. Computational Imaging, 2025)

Attention-Guided Learning With Feature Reconstruction for Skin Lesion Diagnosis Using Clinical and Ultrasound Images. - Chunlun Xiao; Anqi Zhu; Chunmei Xia; Zifeng Qiu; Yuanlin Liu; Cheng Zhao 003; Weiwei Ren; Lifan Wang; Lei Dong; Tianfu Wang 001; Lehang Guo; Baiying Lei (IEEE Trans. Medical Imaging, 2025)

FAMF-Net: Feature Alignment Mutual Attention Fusion With Region Awareness for Breast Cancer Diagnosis via Imbalanced Data. - Yiyao Liu; Jinyao Li; Cheng Zhao 003; Yongtao Zhang; Qian Chen; Jing Qin 001; Lei Dong; Tianfu Wang 001; Wei Jiang; Baiying Lei (IEEE Trans. Medical Imaging, 2025)

Self-Supervised Multi-Scale Multi-Modal Graph Pool Transformer for Sellar Region Tumor Diagnosis. - Baiying Lei; Gege Cai; Yun Zhu; Tianfu Wang 001; Lei Dong; Cheng Zhao 003; Xinzhi Hu; Huijun Zhu; Lin Lu; Feng Feng; Ming Feng; Renzhi Wang 002 (IEEE J. Biomed. Health Informatics, 2025)

SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs. - Yisheng Li; Yishan Wang; Baiying Lei; Shuqiang Wang (IEEE Trans. Medical Imaging, 2025)

Knowledge-Aware Multisite Adaptive Graph Transformer for Brain Disorder Diagnosis. - Xuegang Song; Kaixiang Shu; Peng Yang 011; Cheng Zhao 003; Feng Zhou 003; Alejandro F. Frangi; Xiaohua Xiao; Lei Dong; Tianfu Wang 001; Shuqiang Wang; Baiying Lei (IEEE Trans. Medical Imaging, 2025)

CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation. - Weiheng Yao; Zhihan Lyu; Mufti Mahmud; Ning Zhong 001; Baiying Lei; Shuqiang Wang (IEEE Trans. Medical Imaging, 2025)

RSSL: A Unified Reliability-Aware Semi-Supervised Learning Framework for Medical Image Classification. - Wenlong Hang; Yecheng Huang; Shuang Liang 015; Yuan Wu; Hui Liu 026; Qiong Wang 001; Ping Liu; Baiying Lei; Harry Qin (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. - Yunlu Yan; Chun-Mei Feng 001; Yuexiang Li; Ping Li 016; Rick Siow Mong Goh; Baiying Lei; Weiming Wang 002; David Dagan Feng; Lei Zhu 003 (IEEE J. Biomed. Health Informatics, 2025)

BUT-Net: Boundary-Aware U-Net structure with Two-Path Transformers for lesion segmentation in mCNV using OCT images. - Hai Xie; Zhenquan Wu; Shaobin Chen; Guanghui Yue 001; Tianfu Wang 001; Chuan-Ming Liu; Lin Lu; Guoming Zhang; Baiying Lei (Expert Syst. Appl., 2026)