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2020 – today
- 2021
[j65]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)- [i15]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) - 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 J. Talamonti Jr., 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, Jing Qin, Siping Chen, Tianfu Wang, Shuqiang Wang:
Skin lesion segmentation via generative adversarial networks with dual discriminators. Medical Image Anal. 64: 101716 (2020) - [j55]Baiying Lei, Shan Huang, Hang Li, Ran Li, Cheng Bian, Yi-Hong Chou, Jing Qin, Peng Zhou, Xuehao Gong, Jie-Zhi Cheng:
Self-co-attention neural network for anatomy segmentation in whole breast ultrasound. Medical Image Anal. 64: 101753 (2020) - [j54]Baiying Lei, Feng Jiang, Feng Zhou, Dong Ni, Yuan Yao, Siping Chen, Tianfu Wang:
Hybrid descriptor for placental maturity grading. Multim. Tools Appl. 79(29-30): 21223-21239 (2020) - [j53]Mohammad Hamghalam, Tianfu Wang, Baiying Lei:
High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans. Neural Networks 132: 43-52 (2020) - [j52]Ahmed Elazab, Changmiao Wang, Syed Jamal Safdar Gardezi, Hongmin Bai, Qingmao Hu, Tianfu Wang, Chunqi Chang, Baiying Lei:
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images. Neural Networks 132: 321-332 (2020) - [j51]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) - [j50]Baiying Lei, Mengya Yang, Peng Yang, Feng Zhou, Wen Hou, Wenbin Zou, Xia Li, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang:
Deep and joint learning of longitudinal data for Alzheimer's disease prediction. Pattern Recognit. 102: 107247 (2020) - [j49]Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei:
An End-to-End Deep Network for Reconstructing CT Images Directly From Sparse Sinograms. IEEE Trans. Computational Imaging 6: 1548-1560 (2020) - [j48]Jinbao Dong, Shengfeng Liu, Yimei Liao, Huaxuan Wen, Baiying Lei, Shengli Li, Tianfu Wang:
A Generic Quality Control Framework for Fetal Ultrasound Cardiac Four-Chamber Planes. IEEE J. Biomed. Health Informatics 24(4): 931-942 (2020) - [j47]Yang Li, Jingyu Liu, Zhenyu Tang, Baiying Lei:
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification. IEEE Trans. Medical Imaging 39(9): 2818-2830 (2020) - [c89]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Segmentation. AAAI 2020: 4067-4074 - [c88]Ahmed Elazab, Changmiao Wang, Syed Jamal Safdar Gardezi, Hongmin Bai, Tianfu Wang, Baiying Lei, Chunqi Chang:
Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images. EMBC 2020: 1750-1753 - [c87]Mohammad Hamghalam, Tianfu Wang, Jing Qin, Baiying Lei:
Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation. ISBI 2020: 1-4 - [c86]Dongdong Liu, Yanwu Xu, Ahmed Elazab, Peng Yang, Wei Wang, Tianfu Wang, Baiying Lei:
Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory. ISBI 2020: 1-4 - [c85]Zaimin Xia, Guanghui Yue, Yanwu Xu, Chiyu Feng, Mengya Yang, Tianfu Wang, Baiying Lei:
A Novel End-to-End Hybrid Network for Alzheimer's Disease Detection Using 3D CNN and 3D CLSTM. ISBI 2020: 1-4 - [c84]Yongtao Zhang, Baiying Lei, Chao Fu, Jie Du, Xinjian Zhu, Xiaowei Han, Lei Du, Wenwen Gao, Tianfu Wang, Guolin Ma:
HBNet: Hybrid Blocks Network for Segmentation of Gastric Tumor from Ordinary CT Images. ISBI 2020: 1-4 - [c83]Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images. ISBI 2020: 325-328 - [c82]Enmin Liang, Ahmed Elazab, Shuang Liang, Qiong Wang, Tianfu Wang, Baiying Lei:
Walking Imagery Evaluation Based on Multi-view Features and Stacked Denoising Auto-encoder Network. ISBI 2020: 1896-1899 - [c81]Nina Cheng, Alejandro Frangi, Zhiguo Zhang, Denao Deng, Lihua Zhao, Tianfu Wang, Yichen Wei, Bihan Yu, Wei Mai, Gaoxiong Duan, Xiucheng Nong, Chong Li, Jiahui Su, Baiying Lei:
Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis. MICCAI (7) 2020: 104-113 - [c80]Xuegang Song, Alejandro F. Frangi, Xiaohua Xiao, Jiuwen Cao, Tianfu Wang, Baiying Lei:
Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease. MICCAI (7) 2020: 124-133 - [c79]Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation. MICCAI (4) 2020: 176-186 - [c78]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 - [c77]Shuangzhi Yu, Shuqiang Wang, Xiaohua Xiao, Jiuwen Cao, Guanghui Yue, Dongdong Liu, Tianfu Wang, Yanwu Xu, Baiying Lei:
Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection. MICCAI (7) 2020: 228-237 - [c76]Peng Yang, Qiong Yang, Wei Zheng, Li Shen, Tianfu Wang, Ziwen Peng, Baiying Lei:
Spatial Similarity-Aware Learning and Fused Deep Polynomial Network for Detection of Obsessive-Compulsive Disorder. MICCAI (7) 2020: 603-612 - [c75]Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin, Kup-Sze Choi:
Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms. MICCAI (4) 2020: 639-649 - [c74]Shengye Hu, Yanyan Shen, Shuqiang Wang, Baiying Lei:
Brain MR to PET Synthesis via Bidirectional Generative Adversarial Network. MICCAI (2) 2020: 698-707 - [i14]Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei:
A deep network for sinogram and CT image reconstruction. CoRR abs/2001.07150 (2020) - [i13]Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images. CoRR abs/2004.03882 (2020) - [i12]Youyi Song, Lei Zhu, Baiying Lei, Bin Sheng, Qi Dou, Jing Qin, Kup-Sze Choi:
Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation. CoRR abs/2004.03892 (2020) - [i11]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation. CoRR abs/2006.05030 (2020) - [i10]Feng Zhou, Tao Chen, Baiying Lei:
Do not forget interaction: Predicting fatality of COVID-19 patients using logistic regression. CoRR abs/2006.16942 (2020) - [i9]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. CoRR abs/2008.00748 (2020) - [i8]Shengye Hu, Baiying Lei, Yong Wang, Zhiguang Feng, Yanyan Shen, Shuqiang Wang:
Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis. CoRR abs/2008.03483 (2020) - [i7]Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei:
A model-guided deep network for limited-angle computed tomography. CoRR abs/2008.03988 (2020) - [i6]Shuqiang Wang, Zhuo Chen, Wen Yu, Baiying Lei:
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network. CoRR abs/2008.13109 (2020) - [i5]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans. CoRR abs/2010.10612 (2020) - [i4]Senrong You, Yong Liu, Baiying Lei, Shuqiang Wang:
Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain. CoRR abs/2011.04145 (2020)
2010 – 2019
- 2019
- [j46]Chiyu Feng, Ahmed El-Azab, Peng Yang, Tianfu Wang, Feng Zhou, Huoyou Hu, Xiaohua Xiao, Baiying Lei:
Deep Learning Framework for Alzheimer's Disease Diagnosis via 3D-CNN and FSBi-LSTM. IEEE Access 7: 63605-63618 (2019) - [j45]Jinfeng Zhao, Baiying Lei, Zhenquan Wu, Yinsheng Zhang, Yafeng Li, Li Wang, Ruyin Tian, Yi Chen, Dahui Ma, Jiantao Wang, Tianfu Wang, Guozhen Chen, Jian Zeng, Guoming Zhang:
A Deep Learning Framework for Identifying Zone I in RetCam Images. IEEE Access 7: 103530-103537 (2019) - [j44]Ahmed El-Azab, Ahmed M. Anter, Hongmin Bai, Qingmao Hu, Zakir Hussain, Dong Ni, Tianfu Wang, Baiying Lei:
An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects. Appl. Soft Comput. 80: 617-627 (2019) - [j43]Hai Xie, Haijun Lei, Yejun He, Baiying Lei:
Deeply supervised full convolution network for HEp-2 specimen image segmentation. Neurocomputing 351: 77-86 (2019) - [j42]Zehui Lin, Shengli Li, Dong Ni, Yimei Liao, Huaxuan Wen, Jie Du, Siping Chen, Tianfu Wang, Baiying Lei:
Multi-task learning for quality assessment of fetal head ultrasound images. Medical Image Anal. 58 (2019) - [j41]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) - [j40]Zhen Yu, Xudong Jiang, Feng Zhou, Jing Qin, Dong Ni, Siping Chen, Baiying Lei, Tianfu Wang:
Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features. IEEE Trans. Biomed. Eng. 66(4): 1006-1016 (2019) - [j39]Le Ou-Yang, Xiao-Fei Zhang, Xing-Ming Zhao, Debby Dan Wang, Fu Lee Wang, Baiying Lei, Hong Yan:
Joint Learning of Multiple Differential Networks With Latent Variables. IEEE Trans. Cybern. 49(9): 3494-3506 (2019) - [j38]Hang Li, Xinzi He, Feng Zhou, Zhen Yu, Dong Ni, Siping Chen, Tianfu Wang, Baiying Lei:
Dense Deconvolutional Network for Skin Lesion Segmentation. IEEE J. Biomed. Health Informatics 23(2): 527-537 (2019) - [j37]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) - [j36]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) - [j35]Baiying Lei, Peng Yang, Yinan Zhuo, Feng Zhou, Dong Ni, Siping Chen, Xiaohua Xiao, Tianfu Wang:
Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis. IEEE J. Biomed. Health Informatics 23(4): 1661-1673 (2019) - [j34]Yang Li, Hao Yang, Baiying Lei, Jingyu Liu, Chong-Yaw Wee:
Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification. IEEE Trans. Medical Imaging 38(5): 1227-1239 (2019) - [j33]Youyi Song, Ee-Leng Tan, Xudong Jiang, Jie-Zhi Cheng, Baiying Lei, Tianfu Wang:
Corrections to "Accurate Cervical Cell Segmentation From Overlapping Clumps in Pap Smear Images". IEEE Trans. Medical Imaging 38(6): 1543 (2019) - [j32]Youyi Song, Lei Zhu, Jing Qin, Baiying Lei, Bin Sheng, Kup-Sze Choi:
Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Adaptive Shape Priors Extracted From Contour Fragments. IEEE Trans. Medical Imaging 38(12): 2849-2862 (2019) - [c73]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
Convolutional 3D to 2D Patch Conversion for Pixel-Wise Glioma Segmentation in MRI Scans. BrainLes@MICCAI (1) 2019: 3-12 - [c72]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans. BrainLes@MICCAI (1) 2019: 153-162 - [c71]Hai Xie, Yejun He, Haijun Lei, Jong Yih Kuo, Baiying Lei:
Segmentation Guided HEp-2 Cell Classification with Adversarial Networks. ComComAP 2019: 374-379 - [c70]Haijun Lei, Shaomin Liu, Hai Xie, Jong Yih Kuo, Baiying Lei:
An Improved Object Detection Method for Mitosis Detection. EMBC 2019: 130-133 - [c69]Nina Cheng, Ahmed El-Azab, Peng Yang, Dongdong Liu, Shuangzhi Yu, Tianfu Wang, Baiying Lei:
Low Rank Self-calibrated Brain Network Estimation and Autoweighted Centralized Multi-Task Learning for Early Mild Cognitive Impairment Diagnosis. EMBC 2019: 185-188 - [c68]Mengya Yang, Ahmed El-Azab, Peng Yang, Zaimin Xia, Tianfu Wang, Baiying Lei:
Joint and Long Short-Term Memory Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal Data. EMBC 2019: 281-284 - [c67]Rian Huang, Jiajun Liang, Feng Jiang, Feng Zhou, Nina Cheng, Tianfu Wang, Baiying Lei:
MelanomaNet: An Effective Network for Melanoma Detection. EMBC 2019: 1613-1616 - [c66]Yujin Hu, Libao Guo, Baiying Lei, Muyi Mao, Zelong Jin, Ahmed Elazab, Bei Xia, Tianfu Wang:
Fully Automatic Pediatric Echocardiography Segmentation Using Deep Convolutional Networks Based on BiSeNet. EMBC 2019: 6561-6564 - [c65]Yongjun Wang, Fanglin Huang, Yongtao Zhang, Rugang Zhang, Baiying Lei, Tianfu Wang:
Breast Cancer Image Classification via Multi-level Dual-network Features and Sparse Multi-Relation Regularized Learning. EMBC 2019: 7023-7026 - [c64]Meng Yang, Qin Zhong, Lin Chen, Fanglin Huang, Baiying Lei:
Attention Based Semi-Supervised Dictionary Learning for Diagnosis of Autism Spectrum Disorders. ICME Workshops 2019: 7-12 - [c63]Youyi Song, Jing Qin, Baiying Lei, Shengfeng He, Kup-Sze Choi:
JOint Shape Matching for Overlapping Cytoplasm Segmentation in Cervical Smear Images. ISBI 2019: 191-194 - [c62]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 - [c61]Feng Jiang, Feng Zhou, Jing Qin, Tianfu Wang, Baiying Lei:
Decision-Augmented Generative Adversarial Network for Skin Lesion Segmentation. ISBI 2019: 447-450 - [c60]Hang Li, Jie-Zhi Cheng, Yi-Hong Chou, Jing Qin, Shan Huang, Baiying Lei:
AttentionNet: Learning Where to Focus via Attention Mechanism for Anatomical Segmentation of Whole Breast Ultrasound Images. ISBI 2019: 1078-1081 - [c59]Fanglin Huang, Ahmed El-Azab, Le Ou-Yang, Joseph Tan, Tianfu Wang, Baiying Lei:
Sparse Low-rank Constrained Adaptive Structure Learning using Multi-template for Autism Spectrum Disorder Diagnosis. ISBI 2019: 1555-1558 - [c58]Xin Zhao, Feng Zhou, Le Ou-Yang, Tianfu Wang, Baiying Lei:
Graph Convolutional Network Analysis for Mild Cognitive Impairment Prediction. ISBI 2019: 1598-1601 - [c57]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 - [c56]Chiyu Feng, Lili Jin, Chuangyong Xu, Peng Yang, Tianfu Wang, Baiying Lei, Ziwen Peng:
Deep Learning via Fused Bidirectional Attention Stacked Long Short-Term Memory for Obsessive-Compulsive Disorder Diagnosis and Risk Screening. PRIME@MICCAI 2019: 34-43 - [c55]Jiajun Liang, Rian Huang, Peiyao Kong, Shengli Li, Tianfu Wang, Baiying Lei:
SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images. SUSI/PIPPI@MICCAI 2019: 38-46 - [c54]Shuangzhi Yu, Guanghui Yue, Ahmed Elazab, Xuegang Song, Tianfu Wang, Baiying Lei:
Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection. GLMI@MICCAI 2019: 79-87 - [c53]Libao Guo, Yujin Hu, Baiying Lei, Jie Du, Muyi Mao, Zelong Jin, Bei Xia, Tianfu Wang:
Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation. SUSI/PIPPI@MICCAI 2019: 113-122 - [c52]Haijun Lei, Yujia Zhao, Baiying Lei:
Predicting Early Stages of Neurodegenerative Diseases via Multi-task Low-Rank Feature Learning. MICCAI (4) 2019: 131-139 - [c51]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 - [c50]Peng Yang, Lili Jin, Chuangyong Xu, Tianfu Wang, Baiying Lei, Ziwen Peng:
OCD Diagnosis via Smoothing Sparse Network and Stacked Sparse Auto-Encoder Learning. GLMI@MICCAI 2019: 155-163 - [c49]Rugang Zhang, Jinfeng Zhao, Guozhen Chen, Tianfu Wang, Guoming Zhang, Baiying Lei:
Aggressive Posterior Retinopathy of Prematurity Automated Diagnosis via a Deep Convolutional Network. OMIA@MICCAI 2019: 165-172 - [c48]Guozhen Chen, Jinfeng Zhao, Rugang Zhang, Tianfu Wang, Guoming Zhang, Baiying Lei:
Automated Stage Analysis of Retinopathy of Prematurity Using Joint Segmentation and Multi-instance Learning. OMIA@MICCAI 2019: 173-181 - [c47]Yingpeng Xie, Qiwei Wan, Guozhen Chen, Yanwu Xu, Baiying Lei:
Retinopathy Diagnosis Using Semi-supervised Multi-channel Generative Adversarial Network. OMIA@MICCAI 2019: 182-190 - [c46]Fanglin Huang, Peng Yang, Shan Huang, Le Ou-Yang, Tianfu Wang, Baiying Lei:
Multi-template Based Auto-Weighted Adaptive Structural Learning for ASD Diagnosis. MLMI@MICCAI 2019: 516-524 - [i3]Mohammad Hamghalam, Baiying Lei, Tianfu Wang:
Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans. CoRR abs/1909.13640 (2019) - [i2]Xinzi He, Baiying Lei, Tianfu Wang:
SANet: Superpixel Attention Network for Skin Lesion Attributes Detection. CoRR abs/1910.08995 (2019) - 2018
- [j31]Mohamad Mahmoud Al Rahhal, Mohamed Lamine Mekhalfi, Mawloud Guermoui, Esam Othman, Baiying Lei, Awais Mahmood:
A Dense Phase Descriptor for Human Ear Recognition. IEEE Access 6: 11883-11887 (2018) - [j30]Ahmed El-Azab, Yousry M. AbdulAzeem, Ahmed M. Anter, Qingmao Hu, Tianfu Wang, Baiying Lei:
Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review. IEEE Access 6: 30663-30679 (2018) - [j29]Baiying Lei, Shan Huang, Ran Li, Cheng Bian, Hang Li, Yi-Hong Chou, Jie-Zhi Cheng:
Segmentation of breast anatomy for automated whole breast ultrasound images with boundary regularized convolutional encoder-decoder network. Neurocomputing 321: 178-186 (2018) - [j28]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) - [j27]Jing Li, Yi Wang, Baiying Lei, Jie-Zhi Cheng, Jing Qin, Tianfu Wang, Shengli Li, Dong Ni:
Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting. IEEE J. Biomed. Health Informatics 22(1): 215-223 (2018) - [j26]Zhen Yu, Ee-Leng Tan, Dong Ni, Jing Qin, Siping Chen, Shengli Li, Baiying Lei, Tianfu Wang:
A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition. IEEE J. Biomed. Health Informatics 22(3): 874-885 (2018) - [c45]Youyi Song, Jing Qin, Baiying Lei, Kup-Sze Choi:
Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments. AAAI 2018: 168-175 - [c44]Ahmed El-Azab, Hongmin Bai, Mengya Yang, Qingmao Hu, Minh Hung Le, Tianfu Wang, Baiying Lei:
A Coupled Modified Reaction Diffusion and Biomechanical Models for Cerebral Tumor Growth Modeling in Presence of Treatment. EMBC 2018: 758-761 - [c43]Mengya Yang, Peng Yang, Ahmed El-Azab, Wen Hou, Xia Li, Tianfu Wang, Wenbin Zou, Baiying Lei:
Join and Deep Ensemble Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal and Incomplete Data*. EMBC 2018: 1254-1257 - [c42]Hang Li, Xinzi He, Zhen Yu, Feng Zhou, Jie-Zhi Cheng, Limin Huang, Tianfu Wang, Baiying Lei:
Skin Lesion Segmentation via Dense Connected Deconvolutional Network. ICPR 2018: 671-675 - [c41]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 - [c40]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 - [c39]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 - [c38]Na Wang, Yi Wang, Huifang Wang, Baiying Lei, Tianfu Wang, Dong Ni:
Auto-context fully convolutional network for levator hiatus segmentation in ultrasoudn images. ISBI 2018: 1479-1482 - [c37]Feng Jiang, Dong Ni, Siping Chen, Yuan Yao, Minh Hung Le, Tianfu Wang, Baiying Lei:
Placental maturity grading via hybrid descriptors based on fisher vector. ISBI 2018: 1517-1520 - [c36]Zehui Lin, Minh Hung Le, Dong Ni, Siping Chen, Shengli Li, Tianfu Wang, Baiying Lei:
Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 38-46 - [c35]Chiyu Feng, Ahmed El-Azab, Peng Yang, Tianfu Wang, Baiying Lei, Xiaohua Xiao:
3D Convolutional Neural Network and Stacked Bidirectional Recurrent Neural Network for Alzheimer's Disease Diagnosis. PRIME@MICCAI 2018: 138-146 - [c34]Peiyao Kong, Dong Ni, Siping Chen, Shengli Li, Tianfu Wang, Baiying Lei:
Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-scale Dense Networks. DATRA/PIPPI@MICCAI 2018: 160-168 - [c33]