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2020 – today
- 2021
[j13]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)- 2020
- [j12]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) - [j11]Hai Xie, Haijun Lei, Xianlu Zeng, Yejun He, Guozhen Chen, Ahmed Elazab, Guanghui Yue, Jiantao Wang, Guoming Zhang, Baiying Lei:
AMD-GAN: Attention encoder and multi-branch structure based generative adversarial networks for fundus disease detection from scanning laser ophthalmoscopy images. Neural Networks 132: 477-490 (2020) - [c22]Weixin Liu, Haijun Lei, Hai Xie, Benjian Zhao, Guanghui Yue, Baiying Lei:
Multi-level Light U-Net and Atrous Spatial Pyramid Pooling for Optic Disc Segmentation on Fundus Image. OMIA@MICCAI 2020: 104-113 - [c21]Benjian Zhao, Haijun Lei, Xianlu Zeng, Jiuwen Cao, Hai Xie, Guanghui Yue, Jiantao Wang, Guoming Zhang, Baiying Lei:
Weakly-Supervised Lesion-Aware and Consistency Regularization for Retinitis Pigmentosa Detection from Ultra-Widefield Images. OMIA@MICCAI 2020: 175-184 - [c20]Zihao Chen, Haijun Lei, Yujia Zhao, Zhongwei Huang, Xiaohua Xiao, Yi Lei, Ee-Leng Tan, Baiying Lei:
Template-Oriented Multi-task Sparse Low-Rank Learning for Parkinson's Diseases Diagnosis. PRIME@MICCAI 2020: 178-187
2010 – 2019
- 2019
- [j10]Hai Xie, Haijun Lei, Yejun He, Baiying Lei:
Deeply supervised full convolution network for HEp-2 specimen image segmentation. Neurocomputing 351: 77-86 (2019) - [j9]Baiying Lei, Xin Zhao, Haijun Lei, Dong Ni, Siping Chen, Feng Zhou, Tianfu Wang:
Multipurpose watermarking scheme via intelligent method and chaotic map. Multim. Tools Appl. 78(19): 27085-27107 (2019) - [j8]Haijun Lei, Yuting Wen, Zhuhong You, Ahmed El-Azab, Ee-Leng Tan, Yujia Zhao, Baiying Lei:
Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine. IEEE J. Biomed. Health Informatics 23(3): 1290-1303 (2019) - [j7]Haijun Lei, Zhongwei Huang, Feng Zhou, Ahmed El-Azab, Ee-Leng Tan, Hancong Li, Jing Qin, Baiying Lei:
Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations. IEEE J. Biomed. Health Informatics 23(4): 1437-1449 (2019) - [c19]Hai Xie, Yejun He, Haijun Lei, Jong Yih Kuo, Baiying Lei:
Segmentation Guided HEp-2 Cell Classification with Adversarial Networks. ComComAP 2019: 374-379 - [c18]Haijun Lei, Shaomin Liu, Hai Xie, Jong Yih Kuo, Baiying Lei:
An Improved Object Detection Method for Mitosis Detection. EMBC 2019: 130-133 - [c17]Shiqi Li, Haijun Lei, Feng Zhou, Jamal Gardezi, Baiying Lei:
Longitudinal and Multi-modal Data Learning for Parkinson's Disease Diagnosis via Stacked Sparse Auto-encoder. ISBI 2019: 384-387 - [c16]Zhongwei Huang, Haijun Lei, Guoliang Chen, Shiqi Li, Hancong Li, Ahmed El-Azab, Baiying Lei:
Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis. CNI@MICCAI 2019: 1-9 - [c15]Haijun Lei, Yujia Zhao, Baiying Lei:
Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-Rank Feature Learning. MICCAI (4) 2019: 131-139 - [c14]Haijun Lei, Hancong Li, Ahmed Elazab, Xuegang Song, Zhongwei Huang, Baiying Lei:
Diagnosis of Parkinson's Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning. PRIME@MICCAI 2019: 142-150 - 2018
- [j6]Haijun Lei, Tao Han, Feng Zhou, Zhen Yu, Jing Qin, Ahmed El-Azab, Baiying Lei:
A deeply supervised residual network for HEp-2 cell classification via cross-modal transfer learning. Pattern Recognit. 79: 290-302 (2018) - [c13]Hai Xie, Yejun He, Haijun Lei, Tao Han, Zhen Yu, Baiying Lei:
Deeply Supervised Residual Network for HEp-2 Cell Classification. ICPR 2018: 699-703 - [c12]Haijun Lei, Yujia Zhao, Zhongwei Huang, Feng Zhou, Limin Huang, Baiying Lei:
Multi-classification of Parkinson's Disease via Sparse Low-Rank Learning. ICPR 2018: 3268-3272 - [c11]Zhongwei Huang, Haijun Lei, Yujia Zhao, Feng Zhou, Jin Yan, Ahmed El-Azab, Baiying Lei:
Longitudinal and multi-modal data learning for Parkinson's disease diagnosis. ISBI 2018: 1411-1414 - [c10]Haijun Lei, Zhongwei Huang, Ahmed El-Azab, Hancong Li, Baiying Lei:
Longitudinal and Multi-modal Data Learning via Joint Embedding and Sparse Regression for Parkinson's Disease Diagnosis. MLMI@MICCAI 2018: 310-318 - [c9]Haijun Lei, Yujia Zhao, Baiying Lei:
Multi-task Sparse Low-Rank Learning for Multi-classification of Parkinson's Disease. DLMIA/ML-CDS@MICCAI 2018: 361-368 - 2017
- [j5]Haijun Lei, Zhongwei Huang, Jian Zhang, Zhang Yang, Ee-Leng Tan, Feng Zhou, Bai Ying Lei:
Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning. Expert Syst. Appl. 80: 284-296 (2017) - [j4]Haijun Lei, Hai Xie, Wenbin Zou, Xiaoli Sun, Kidiyo Kpalma, Nikos Komodakis:
Hierarchical Saliency Detection via Probabilistic Object Boundaries. Int. J. Pattern Recognit. Artif. Intell. 31(6): 1755010:1-1755010:23 (2017) - [c8]Zhiwei Zhang, Zhiyong Zhang, Rui Wang, Zhiping Jia, Haijun Lei, Xiaojun Cai:
ESD-WSN: An Efficient SDN-Based Wireless Sensor Network Architecture for IoT Applications. ICA3PP 2017: 735-745 - [c7]Haijun Lei, Jian Zhang, Zhang Yang, Ee-Leng Tan, Bai Ying Lei, Qiuming Luo:
Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning. ISBI 2017: 1231-1234 - [c6]Haijun Lei, Yujia Zhao, Yuting Wen, Baiying Lei:
Adaptive Sparse Learning for Neurodegenerative Disease Classification. ISM 2017: 292-295 - [c5]Haijun Lei, Tao Han, Weifeng Huang, Jong Yih Kuo, Zhen Yu, Xinzi He, Baiying Lei:
Cross-Modal Transfer Learning for HEp-2 Cell Classification Based on Deep Residual Network. ISM 2017: 465-468 - 2015
- [j3]Bai Ying Lei, Feng Zhou, Ee-Leng Tan, Dong Ni, Haijun Lei, Siping Chen, Tianfu Wang:
Optimal and secure audio watermarking scheme based on self-adaptive particle swarm optimization and quaternion wavelet transform. Signal Process. 113: 80-94 (2015) - [c4]Yinan Zhuo, Dong Ni, Siping Chen, Bai Ying Lei, Tianfu Wang, Haijun Lei:
Multipurpose and intelligent watermarking scheme for medical data. ICICS 2015: 1-5 - 2014
- [j2]Bai Ying Lei, Ee-Leng Tan, Siping Chen, Dong Ni, Tianfu Wang, Haijun Lei:
Reversible watermarking scheme for medical image based on differential evolution. Expert Syst. Appl. 41(7): 3178-3188 (2014) - 2013
- [c3]Bai Ying Lei, Tianfu Wang, Siping Chen, Dong Ni, Haijun Lei:
Robust watermarking scheme for medical image using optimization method. ICICS 2013: 1-4 - [c2]Bai Ying Lei, Tianfu Wang, Siping Chen, Dong Ni, Haijun Lei:
Object recognition based on adapative bag of feature and discriminative learning. ICIP 2013: 3390-3393 - 2012
- [j1]Bai Ying Lei, Ing Yann Soon, Feng Zhou, Zhen Li, Haijun Lei:
A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition. Signal Process. 92(9): 1985-2001 (2012) - 2010
- [c1]B. Y. Lei, Kwok-Tung Lo, Haijun Lei:
Hybrid SVD-Based Audio Watermarking Scheme. PCM (1) 2010: 633-642
Coauthor Index
aka: Baiying Lei
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