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2020 – today
- 2023
[j110]Peng Yang, Zheng Wei, Qiong Yang, Xiaohua Xiao, Tianfu Wang, Baiying Lei, Ziwen Peng:
OCD diagnosis via smooth sparse network and fused sparse auto-encoder learning. Expert Syst. Appl. 216: 119389 (2023)- [j109]Hai Xie, Yaling Liu, Haijun Lei, Tiancheng Song, Guanghui Yue
, Yueshanyi Du, Tianfu Wang, Guoming Zhang, Baiying Lei:
Adversarial learning-based multi-level dense-transmission knowledge distillation for AP-ROP detection. Medical Image Anal. 84: 102725 (2023) - [j108]Haijun Lei, Zhihui Tian, Hai Xie, Benjian Zhao, Xianlu Zeng, Jiuwen Cao, Weixin Liu, Jiantao Wang, Guoming Zhang, Shuqiang Wang, Baiying Lei:
LAC-GAN: Lesion attention conditional GAN for Ultra-widefield image synthesis. Neural Networks 158: 89-98 (2023) - [j107]Baiying Lei, Yun Zhu, Shuangzhi Yu, Huoyou Hu, Yanwu Xu, Guanghui Yue, Tianfu Wang, Cheng Zhao, Shaobin Chen, Peng Yang, Xuegang Song, Xiaohua Xiao, Shuqiang Wang:
Multi-scale enhanced graph convolutional network for mild cognitive impairment detection. Pattern Recognit. 134: 109106 (2023) - [j106]Guanghui Yue, Siying Li, Runmin Cong, Tianwei Zhou, Baiying Lei, Tianfu Wang:
Attention-Guided Pyramid Context Network for Polyp Segmentation in Colonoscopy Images. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j105]Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei:
Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network. IEEE Trans. Medical Imaging 42(2): 354-367 (2023) - [i27]Xuhang Chen, Baiying Lei, Chi-Man Pun, Shuqiang Wang:
Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline. CoRR abs/2303.06410 (2023) - 2022
- [j104]Hai Xie, Yejun He, Dong Xu, Jong Yih Kuo, Haijun Lei, Baiying Lei:
Joint segmentation and classification task via adversarial network: Application to HEp-2 cell images. Appl. Soft Comput. 114: 108156 (2022) - [j103]Zhongwei Huang, Haijun Lei, Guoliang Chen, Haimei Li, Chuandong Li, Wenwen Gao, Yue Chen, Yaofa Wang, Haibo Xu, Guolin Ma, Baiying Lei:
Multi-center sparse learning and decision fusion for automatic COVID-19 diagnosis. Appl. Soft Comput. 115: 108088 (2022) - [j102]Yujian Liu, Jie Du, Chi-Man Vong, Guanghui Yue, Juan Yu, Yuli Wang, Baiying Lei, Tianfu Wang:
Scale-adaptive super-feature based MetricUNet for brain tumor segmentation. Biomed. Signal Process. Control. 73: 103442 (2022) - [j101]Haijun Lei, Yuchen Zhang, Hancong Li, Zhongwei Huang, Chien-Hung Liu, Feng Zhou, Ee-Leng Tan, Xiaohua Xiao, Yi Lei, Huoyou Hu, Yaohui Huang, Baiying Lei:
Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network. Comput. Biol. Medicine 148: 105859 (2022) - [j100]Zhuo Xiang, Qiuluan Zhuo, Cheng Zhao, Xiaofei Deng, Ting Zhu, Tianfu Wang, Wei Jiang, Baiying Lei:
Self-supervised multi-modal fusion network for multi-modal thyroid ultrasound image diagnosis. Comput. Biol. Medicine 150: 106164 (2022) - [j99]Rugang Zhang, Jinfeng Zhao, Hai Xie, Tianfu Wang, Guozhen Chen, Guoming Zhang, Baiying Lei:
Automatic diagnosis for aggressive posterior retinopathy of prematurity via deep attentive convolutional neural network. Expert Syst. Appl. 187: 115843 (2022) - [j98]Baiying Lei, Enmin Liang, Mengya Yang, Peng Yang, Feng Zhou, Ee-Leng Tan, Yi Lei, Chuan-Ming Liu, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang:
Predicting clinical scores for Alzheimer's disease based on joint and deep learning. Expert Syst. Appl. 187: 115966 (2022) - [j97]Tianlei Wang, Jiuwen Cao, Haozhen Dai, Baiying Lei, Huanqiang Zeng:
Robust Maximum Mixture Correntropy Criterion Based One-Class Classification Algorithm. IEEE Intell. Syst. 37(2): 69-78 (2022) - [j96]Baiying Lei, Yuwen Zhang, Dongdong Liu, Yanwu Xu, Guanghui Yue, Jiuwen Cao, Huoyou Hu, Shuangzhi Yu, Peng Yang, Tianfu Wang, Yali Qiu, Xiaohua Xiao, Shuqiang Wang:
Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM. Knowl. Based Syst. 254: 109466 (2022) - [j95]Peng Yang, Cheng Zhao, Qiong Yang, Zheng Wei, Xiaohua Xiao, Li Shen, Tianfu Wang, Baiying Lei, Ziwen Peng:
Diagnosis of obsessive-compulsive disorder via spatial similarity-aware learning and fused deep polynomial network. Medical Image Anal. 75: 102244 (2022) - [j94]Huisi Wu, Shihuai Chen, Guilian Chen, Wei Wang, Baiying Lei, Zhenkun Wen:
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation. Medical Image Anal. 76: 102327 (2022) - [j93]Xinzi He, Ee-Leng Tan, Hanwen Bi, Xuzhe Zhang, Shijie Zhao, Baiying Lei:
Fully transformer network for skin lesion analysis. Medical Image Anal. 77: 102357 (2022) - [j92]Yongtao Zhang, Ning Yuan, Zhiguo Zhang, Jie Du, Tianfu Wang, Bing Liu, Aocai Yang, Kuan Lv, Guolin Ma, Baiying Lei:
Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer. Medical Image Anal. 79: 102467 (2022) - [j91]Cheng Zhao, Weiling Chen, Jing Qin, Peng Yang, Zhuo Xiang, Alejandro F. Frangi, Minsi Chen, Shumin Fan, Wei Yu, Xunyi Chen, Bei Xia, Tianfu Wang, Baiying Lei:
IFT-Net: Interactive Fusion Transformer Network for Quantitative Analysis of Pediatric Echocardiography. Medical Image Anal. 82: 102648 (2022) - [j90]Shuqiang Wang, Zhuo Chen, Senrong You, Bingchuan Wang, Yanyan Shen, Baiying Lei:
Brain stroke lesion segmentation using consistent perception generative adversarial network. Neural Comput. Appl. 34(11): 8657-8669 (2022) - [j89]Jiuwen Cao, Dinghan Hu, Yaomin Wang, Jianzhong Wang, Baiying Lei:
Epileptic Classification With Deep-Transfer-Learning-Based Feature Fusion Algorithm. IEEE Trans. Cogn. Dev. Syst. 14(2): 684-695 (2022) - [j88]Haijun Lei, Weixin Liu, Hai Xie, Benjian Zhao, Guanghui Yue, Baiying Lei:
Unsupervised Domain Adaptation Based Image Synthesis and Feature Alignment for Joint Optic Disc and Cup Segmentation. IEEE J. Biomed. Health Informatics 26(1): 90-102 (2022) - [j87]Shengye Hu, Baiying Lei, Shuqiang Wang, Yong Wang, Zhiguang Feng, Yanyan Shen:
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis. IEEE Trans. Medical Imaging 41(1): 145-157 (2022) - [j86]Yang Li, Jingyu Liu, Yiqiao Jiang, Yu Liu, Baiying Lei:
Virtual Adversarial Training-Based Deep Feature Aggregation Network From Dynamic Effective Connectivity for MCI Identification. IEEE Trans. Medical Imaging 41(1): 237-251 (2022) - [j85]Yang Li, Yue Zhang, Wei-Gang Cui, Baiying Lei, Xihe Kuang, Teng Zhang:
Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation. IEEE Trans. Medical Imaging 41(8): 1975-1989 (2022) - [j84]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, Ching-Wei Wang, Shih-Chang Lo, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images. IEEE Trans. Medical Imaging 41(10): 2828-2847 (2022) - [j83]Zhongwei Huang, Haijun Lei, Guoliang Chen, Alejandro F. Frangi, Yanwu Xu, Ahmed Elazab, Jing Qin, Baiying Lei:
Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3357-3371 (2022) - [j82]Wen Yu, Baiying Lei, Michael K. Ng, Albert C. Cheung, Yanyan Shen, Shuqiang Wang:
Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4945-4959 (2022) - [c127]Jialan Tang, Baiying Lei, Weilin Chen:
A Drug Repositioning Approach Using Drug and Disease Features. CBMS 2022: 193-198 - [c126]Limin Huang, Haijun Lei, Weixin Liu, Zhen Li, Hai Xie, Baiying Lei:
End-to-End Multi-task Learning Regression Network for Fovea Localization in Fundus Images. CBMS 2022: 389-393 - [c125]Xiaonan Cui, Tianlei Wang, Hao Chen, Baiying Lei, Pierre-Paul Vidal, Jiuwen Cao:
Incremental Quaternion Random Neural Networks. ICCSIP 2022: 174-191 - [c124]Yuchen Zhang, Haijun Lei, Zhongwei Huang, Zhen Li, Chuan-Ming Liu, Baiying Lei:
Parkinson's Disease Classification with Self-supervised Learning and Attention Mechanism. ICPR 2022: 4601-4607 - [c123]Menglu Zhao, Haijun Lei, Zhongwei Huang, Yuchen Zhang, Zhen Li, Chuan-Ming Liu, Baiying Lei:
Attention-based Graph Neural Network for the Classification of Parkinson's Disease. ICPR 2022: 4608-4614 - [c122]Mingzhu Li, Liangge He, Xinglie Wang, Tianfu Wang, Guanghui Yue, Guangqian Zhou, Baiying Lei:
Faster R-CNN for IPSC-Derived Mesenchymal Stromal Cells Senescent Detection from Bright-Field Microscopy. ISBI 2022: 1-4 - [c121]Xinyun Qiu, Haijun Lei, Hai Xie, Baiying Lei:
Segmentation of Multiple Myeloma Cells Using Feature Selection Pyramid Network and Semantic Cascade Mask RCNN. ISBI 2022: 1-4 - [c120]Wei Xiong, Kaiwei Yu, Yuming Cai, Liang Yang, Baiying Lei:
Coordinate Transformer Network for Prediction of Pseudomonas Aeruginosa's Drug Resistance. ISBI 2022: 1-4 - [c119]Chunmei Xia, Yue Ding, Jionglin Wu, Wenqiang Luo, Peidong Guo, Tianfu Wang, Baiying Lei:
Multi-channel Residual Neural Network Based on Squeeze-and-Excitation for Osteoporosis Diagnosis. CLIP@MICCAI 2022: 12-21 - [c118]Guanjie Tong, Haijun Lei, Limin Huang, Zhihui Tian, Hai Xie, Baiying Lei, Longjiang Zhang:
STAU-Net: A Spatial Structure Attention Network for 3D Coronary Artery Segmentation. CLIP@MICCAI 2022: 43-53 - [c117]Zifeng Qiu, Peng Yang, Tianfu Wang, Baiying Lei:
Hybrid Network Based on Cross-Modal Feature Fusion for Diagnosis of Alzheimer's Disease. EPIMI/ML-CDS@MICCAI 2022: 87-99 - [c116]Chunlun Xiao, Mingzhu Li, Liangge He, Xuegang Song, Tianfu Wang, Baiying Lei:
Swin Faster R-CNN for Senescence Detection of Mesenchymal Stem Cells in Bright-Field Images. MOVI@MICCAI 2022: 167-176 - [c115]Wenlong Hang, Yecheng Huang, Shuang Liang, Baiying Lei, Kup-Sze Choi, Jing Qin:
Reliability-Aware Contrastive Self-ensembling for Semi-supervised Medical Image Classification. MICCAI (1) 2022: 754-763 - [i26]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenolé Quellec, Sarah Matta, Sharath M. Shankaranarayana, Yi-Ting Chen, Chuen-heng Wang, Nisarg A. Shah, Chia-Yen Lee, Chih-Chung Hsu, Hai Xie, Baiying Lei, Ujjwal Baid, Shubham Innani, Kang Dang, Wenxiu Shi, Ravi Kamble, Nitin Singhal, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images. CoRR abs/2202.07983 (2022) - [i25]Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Jaemin Son, Shuang Yu, Menglu Zhang, Chenglang Yuan, Cheng Bian, Baiying Lei, Benjian Zhao, Xinxing Xu, Shaohua Li, Francisco Fumero, José F. Sigut, Haidar Almubarak, Yakoub Bazi, Yuanhao Guo, Yating Zhou, Ujjwal Baid, Shubham Innani, Tianjiao Guo, Jie Yang, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu:
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. CoRR abs/2202.08994 (2022) - [i24]Feng Zhou, Tao Chen, Baiying Lei:
Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral Physiological Data Using SHAP-Explained Tree Ensembles. CoRR abs/2211.02923 (2022) - 2021
- [j81]Cheng Zhao, Bei Xia, Weiling Chen, Libao Guo, Jie Du, Tianfu Wang, Baiying Lei:
Multi-scale wavelet network algorithm for pediatric echocardiographic segmentation via hierarchical feature guided fusion. Appl. Soft Comput. 107: 107386 (2021) - [j80]Guanghui Yue, Jinqi Liao, Yongjun Wang, Liangge He, Tianfu Wang, Guangqian Zhou, Baiying Lei:
Quality evaluation of induced pluripotent stem cell colonies by fusing multi-source features. Comput. Methods Programs Biomed. 208: 106235 (2021) - [j79]Jong Yih Kuo, Hao-Ting Chung, Ping-Feng Wang, Baiying Lei:
Building Student Course Performance Prediction Model Based on Deep Learning. J. Inf. Sci. Eng. 37(1): 243-257 (2021) - [j78]Huisi Wu, Xuheng Lu, Baiying Lei, Zhenkun Wen:
Automated left ventricular segmentation from cardiac magnetic resonance images via adversarial learning with multi-stage pose estimation network and co-discriminator. Medical Image Anal. 68: 101891 (2021) - [j77]Xuegang Song, Feng Zhou, Alejandro F. Frangi, Jiuwen Cao, Xiaohua Xiao, Yi Lei, Tianfu Wang, Baiying Lei:
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction. Medical Image Anal. 69: 101947 (2021) - [j76]Huisi Wu, Wei Wang, Jiafu Zhong, Baiying Lei, Zhenkun Wen, Jing Qin:
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation. Medical Image Anal. 70: 102025 (2021) - [j75]Hai Xie, Xianlu Zeng, Haijun Lei, Jie Du, Jiantao Wang, Guoming Zhang, Jiuwen Cao, Tianfu Wang, Baiying Lei:
Cross-attention multi-branch network for fundus diseases classification using SLO images. Medical Image Anal. 71: 102031 (2021) - [j74]Libao Guo, Baiying Lei, Weiling Chen, Jie Du, Alejandro F. Frangi, Jing Qin, Cheng Zhao, Pengpeng Shi, Bei Xia, Tianfu Wang:
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography. Medical Image Anal. 71: 102042 (2021) - [j73]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, Lihua Zhao, Demao Deng, Zhiguo Zhang:
Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis. Medical Image Anal. 74: 102248 (2021) - [j72]Baiying Lei, Xianlu Zeng, Shan Huang, Rugang Zhang, Guozhen Chen, Jinfeng Zhao, Tianfu Wang, Jiantao Wang, Guoming Zhang:
Automated detection of retinopathy of prematurity by deep attention network. Multim. Tools Appl. 80(30): 36341-36360 (2021) - [j71]Cheng Zhao, Tianfu Wang, Baiying Lei:
Medical image fusion method based on dense block and deep convolutional generative adversarial network. Neural Comput. Appl. 33(12): 6595-6610 (2021) - [j70]Shuqiang Wang, Xiangyu Wang, Yong Hu, Yanyan Shen, Zhile Yang, Min Gan, Baiying Lei:
Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision. IEEE Trans Autom. Sci. Eng. 18(2): 574-585 (2021) - [j69]Peng Yang, Feng Zhou, Dong Ni, Yanwu Xu, Siping Chen, Tianfu Wang, Baiying Lei:
Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment. IEEE Trans. Cybern. 51(1): 233-246 (2021) - [j68]Xuegang Song, Haimei Li, Wenwen Gao, Yue Chen, Tianfu Wang, Guolin Ma, Baiying Lei:
Augmented Multicenter Graph Convolutional Network for COVID-19 Diagnosis. IEEE Trans. Ind. Informatics 17(9): 6499-6509 (2021) - [j67]Haijun Lei, Shaomin Liu, Ahmed Elazab, Xuehao Gong, Baiying Lei:
Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images. IEEE J. Biomed. Health Informatics 25(2): 358-370 (2021) - [j66]Yongtao Zhang, Haimei Li, Jie Du, Jing Qin, Tianfu Wang, Yue Chen, Bing Liu, Wenwen Gao, Guolin Ma, Baiying Lei:
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric Tumor Segmentation and Lymph Node Classification. IEEE Trans. Medical Imaging 40(6): 1618-1631 (2021) - [j65]Jiuwen Cao, Haozhen Dai, Baiying Lei, Chun Yin, Huanqiang Zeng, Anton Kummert:
Maximum Correntropy Criterion-Based Hierarchical One-Class Classification. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3748-3754 (2021) - [c114]Yafeng Li, Yiyao Liu, Tianfu Wang, Baiying Lei:
Alzheimer's Disease Prediction via the Association of Single Nucleotide Polymorphism with Brain Regions. CCBR 2021: 102-111 - [c113]Zhiwei Chen, Wenqiang Luo, Qi Zhang, Baiying Lei, Tianfu Wang, Zhong Chen, Yuan Fu, Peidong Guo, Changchuan Li, Teng Ma, Yue Ding, Jiang Liu:
Osteoporosis Diagnosis Based on Ultrasound Radio Frequency Signal via Multi-channel Convolutional Neural Network. EMBC 2021: 832-835 - [c112]Zihao Chen, Haijun Lei, Zhongwei Huang, Baiying Lei:
Latent Space Learning and Feature Learning using Multi-template for Multi-classification of Alzheimer's Disease. EMBC 2021: 1844-1847 - [c111]Yiyao Liu, Yi Yang, Wei Jiang, Tianfu Wang, Baiying Lei:
3D Deep Attentive U-Net with Transformer for Breast Tumor Segmentation from Automated Breast Volume Scanner. EMBC 2021: 4011-4014 - [c110]Minsi Chen, Cheng Zhao, Xiaoxian Tian, Yujian Liu, Tianfu Wang, Baiying Lei:
Placental Super Micro-vessels Segmentation Based on ResNeXt with Convolutional Block Attention and U-Net. EMBC 2021: 4015-4018 - [c109]Yiyao Liu, Yi Yang, Wei Jiang, Tianfu Wang, Baiying Lei:
Semi-supervised Attention-Guided VNet for Breast Cancer Detection via Multi-task Learning. ICIG (2) 2021: 559-570 - [c108]Xinglie Wang, Jinqi Liao, Guanghui Yue, Liangge He, Mingzhu Li, Enmin Liang, Tianfu Wang, Guangqian Zhou, Baiying Lei:
Semi-supervised Yolo Network for Induced Pluripotent Stem Cells Detection. ICIG (2) 2021: 797-808 - [c107]Weixin Liu, Haijun Lei, Hai Xie, Benjian Zhao, Baiying Lei:
Unsupervised Domain Adaptation Based Image Synthesis and Synergistic Adversarial Learning for Optic Disc and Cup Segmentation. ICME 2021: 1-6 - [c106]Shaobin Chen, Rugang Zhang, Guozhen Chen, Jinfeng Zhao, Tianfu Wang, Guoming Zhang, Baiying Lei:
Attention-guided Deep Multi-instance Learning for Staging Retinopathy of Prematurity. ISBI 2021: 1025-1028 - [c105]Cheng Zhao, Bei Xia, Libao Guo, Jie Du, Weiling Chen, Tianfu Wang, Baiying Lei:
Multi-scale Wavelet Network Algorithm for Pediatric Echocardiographic Segmentation via Feature Fusion. ISBI 2021: 1402-1405 - [c104]Yali Qiu, Shuangzhi Yu, Yanhong Zhou, Dongdong Liu, Xuegang Song, Tianfu Wang, Baiying Lei:
Multi-channel Sparse Graph Transformer Network for Early Alzheimer's Disease Identification. ISBI 2021: 1794-1797 - [c103]Yun Zhu, Xuegang Song, Yali Qiu, Chen Zhao, Baiying Lei:
Structure and Feature Based Graph U-Net for Early Alzheimer's Disease Prediction. ML-CDS@MICCAI 2021: 93-104 - [c102]Yafeng Li, Yiyao Liu, Tianfu Wang, Baiying Lei:
A Method for Predicting Alzheimer's Disease Based on the Fusion of Single Nucleotide Polymorphisms and Magnetic Resonance Feature Extraction. ML-CDS@MICCAI 2021: 105-115 - [c101]Zhihui Tian, Haijun Lei, Hai Xie, Xianlu Zeng, Xinyu Zhao, Miaohong Chen, Guoming Zhang, Baiying Lei:
Dual-Branch Attention Network and Atrous Spatial Pyramid Pooling for Diabetic Retinopathy Classification Using Ultra-Widefield Images. OMIA@MICCAI 2021: 119-128 - [c100]Youyi Song, Lequan Yu, Baiying Lei, Kup-Sze Choi, Jing Qin:
Selective Learning from External Data for CT Image Segmentation. MICCAI (1) 2021: 420-430 - [c99]Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson:
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation. MICCAI (7) 2021: 442-452 - [c98]Bowen Hu, Baiying Lei, Yanyan Shen, Yong Liu, Shuqiang Wang:
A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction. PRCV (2) 2021: 263-274 - [c97]Junren Pan, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang:
Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis. PRCV (3) 2021: 467-478 - [c96]Qiankun Zuo, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang:
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction. PRCV (3) 2021: 479-490 - [c95]Zhuo Xiang, Cheng Zhao, Libao Guo, Yali Qiu, Yun Zhu, Peng Yang, Wei Xiong, Mingzhu Li, Minsi Chen, Tianfu Wang, Baiying Lei:
Multi-directional Attention Network for Segmentation of Pediatric Echocardiographic. PRCV (3) 2021: 502-512 - [i23]Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei:
A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions. CoRR abs/2101.01886 (2021) - [i22]Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson:
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation. CoRR abs/2107.03442 (2021) - [i21]Bowen Hu, Baiying Lei, Yanyan Shen, Yong Liu, Shuqiang Wang:
A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction. CoRR abs/2107.09923 (2021) - [i20]Qiankun Zuo, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang:
Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction. CoRR abs/2107.09928 (2021) - [i19]Junren Pan, Baiying Lei, Yanyan Shen, Yong Liu, Zhiguang Feng, Shuqiang Wang:
Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis. CoRR abs/2107.09953 (2021) - [i18]Bowen Hu, Baiying Lei, Yong Liu, Min Gan, Bingchuan Wang, Shuqiang Wang:
3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image. CoRR abs/2107.11010 (2021) - [i17]Junren Pan, Baiying Lei, Shuqiang Wang, Bingchuan Wang, Yong Liu, Yanyan Shen:
DecGAN: Decoupling Generative Adversarial Network detecting abnormal neural circuits for Alzheimer's disease. CoRR abs/2110.05712 (2021) - [i16]Qiankun Zuo, Baiying Lei, Shuqiang Wang, Yong Liu, Bingchuan Wang, Yanyan Shen:
A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease. CoRR abs/2110.09302 (2021) - [i15]Wen Yu, Baiying Lei, Yanyan Shen, Shuqiang Wang, Yong Liu, Zhiguang Feng, Yong Hu, Michael K. Ng:
Morphological feature visualization of Alzheimer's disease via Multidirectional Perception GAN. CoRR abs/2111.12886 (2021) - 2020
- [j64]Yongjun Wang, Baiying Lei, Ahmed Elazab, Ee-Leng Tan, Wei Wang, Fanglin Huang, Xuehao Gong, Tianfu Wang:
Breast Cancer Image Classification via Multi-Network Features and Dual-Network Orthogonal Low-Rank Learning. IEEE Access 8: 27779-27792 (2020) - [j63]Yujin Hu, Bei Xia, Muyi Mao, Zelong Jin, Jie Du, Libao Guo, Alejandro F. Frangi, Baiying Lei, Tianfu Wang:
AIDAN: An Attention-Guided Dual-Path Network for Pediatric Echocardiography Segmentation. IEEE Access 8: 29176-29187 (2020) - [j62]Zhen Yu, Feng Jiang, Feng Zhou, Xinzi He, Dong Ni, Siping Chen, Tianfu Wang, Baiying Lei:
Convolutional descriptors aggregation via cross-net for skin lesion recognition. Appl. Soft Comput. 92: 106281 (2020) - [j61]Feng Zhou, Areen Alsaid, Mike Blommer, Reates Curry, Radhakrishnan Swaminathan, Dev S. Kochhar, Walter Talamonti, Louis Tijerina, Baiying Lei:
Driver fatigue transition prediction in highly automated driving using physiological features. Expert Syst. Appl. 147: 113204 (2020) - [j60]Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei:
Fine-grained facial expression analysis using dimensional emotion model. Neurocomputing 392: 38-49 (2020) - [j59]Baiying Lei, Yujia Zhao, Zhongwei Huang, Xiaoke Hao, Feng Zhou, Ahmed Elazab, Jing Qin, Haijun Lei:
Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis. Medical Image Anal. 61: 101632 (2020) - [j58]Baiying Lei, Nina Cheng, Alejandro F. Frangi, Ee-Leng Tan, Jiuwen Cao, Peng Yang, Ahmed Elazab, Jie Du, Yanwu Xu, Tianfu Wang:
Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease. Medical Image Anal. 61: 101652 (2020) - [j57]Fanglin Huang, Ee-Leng Tan, Peng Yang, Shan Huang, Le Ou-Yang, Jiuwen Cao, Tianfu Wang, Baiying Lei:
Self-weighted adaptive structure learning for ASD diagnosis via multi-template multi-center representation. Medical Image Anal. 63: 101662 (2020) - [j56]Baiying Lei, Zaimin Xia, Feng Jiang, Xudong Jiang, Zongyuan Ge, Yanwu Xu, Jie Du, Siping Chen, Tianfu Wang, Shuqiang Wang:
Skin lesion segmentation via generative adversarial networks with dual discriminators. Medical Image Anal. 64: 101716 (2020) - [j55]