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ORCIDShengli Li 0001
Person information
- affiliation: Nanfang (Southern) Medical University, Affiliated Shenzhen Maternal and Child Healthcare Hospital, Department of Ultrasound, Guangzhoui, China
Other persons with the same name
- Shengli Li — disambiguation page
- Shengli Li 0002 — Huazhong University of Science and Technology, School of Computer Science and Technology, Cluster and Grid Computing Laboratory, Services Computing Technology and System Laboratory, Wuhan, China
- Shengli Li 0003
![[0000-0003-0526-3099]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0526-3099")
— Yangzhou University, College of Mathematical Sciences, Yangzhou, China (and 1 more) - Shengli Li 0004 — Peking University, Department of Information Management, Beijing, China (and 2 more)
- Shengli Li 0005 — Shanghai Jiao Tong University, School of Medicine, Shanghai General Hospital, China (and 3 more)
- Shengli Li 0006 — Zhengzhou University of Industry Technology, School of Civil Engineering, Zhengzhou, China (and 1 more)
- Shengli Li 0007 — Chongqing University, College of Communication Engineering, Chongqing Engineering Laboratory of High Performance Integrated Circuits, Chongqing, China
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2020 – today
- 2024
[j26]Guanyuan Chen, Guanghua Tan, Mingxing Duan, Bin Pu, Hongxia Luo, Shengli Li, Kenli Li:
MLMSeg: A multi-view learning model for ultrasound thyroid nodule segmentation. Comput. Biol. Medicine 169: 107898 (2024)- [j25]Xiang Yu, Hongbo Guo, Ying Yuan, Wenjia Guo, Xia Yang, Hui Xu, Yanqing Kong, Yu-Dong Zhang, Hairong Zheng, Shengli Li:
An improved medical image segmentation framework with Channel-Height-Width-Spatial attention module. Eng. Appl. Artif. Intell. 136: 108751 (2024) - [j24]Zhan Gao, Guanghua Tan, Chunlian Wang, Jianxin Lin, Bin Pu, Shengli Li, Kenli Li:
Graph-enhanced ensembles of multi-scale structure perception deep architecture for fetal ultrasound plane recognition. Eng. Appl. Artif. Intell. 136: 108885 (2024) - [j23]Jie He, Lei Yang, Bocheng Liang, Shengli Li, Caixu Xu:
Fetal cardiac ultrasound standard section detection model based on multitask learning and mixed attention mechanism. Neurocomputing 579: 127443 (2024) - [j22]Xiangqiong Wu, Guanghua Tan, Hongxia Luo, Zhilun Chen, Bin Pu, Shengli Li, Kenli Li:
A knowledge-interpretable multi-task learning framework for automated thyroid nodule diagnosis in ultrasound videos. Medical Image Anal. 91: 103039 (2024) - [j21]Bocheng Liang, Fengfeng Peng, Dandan Luo, Qing Zeng, Huaxuan Wen, Bowen Zheng, Zhiying Zou, Liting An, Huiying Wen, Xin Wen, Yimei Liao, Ying Yuan, Shengli Li:
Automatic segmentation of 15 critical anatomical labels and measurements of cardiac axis and cardiothoracic ratio in fetal four chambers using nnU-NetV2. BMC Medical Informatics Decis. Mak. 24(1): 128 (2024) - [j20]Bin Pu, Kenli Li, Jianguo Chen, Yuhuan Lu, Qing Zeng, Jiewen Yang, Shengli Li:
HFSCCD: A Hybrid Neural Network for Fetal Standard Cardiac Cycle Detection in Ultrasound Videos. IEEE J. Biomed. Health Informatics 28(5): 2943-2954 (2024) - [j19]Lei Zhao, Guanghua Tan, Qianghui Wu, Bin Pu, Hongliang Ren, Shengli Li, Kenli Li:
FARN: Fetal Anatomy Reasoning Network for Detection With Global Context Semantic and Local Topology Relationship. IEEE J. Biomed. Health Informatics 28(8): 4866-4877 (2024) - [c24]Bin Pu, Liwen Wang, Jiewen Yang, Guannan He, Xingbo Dong, Shengli Li, Ying Tan, Ming Chen, Zhe Jin, Kenli Li, Xiaomeng Li:
M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection. CVPR 2024: 11621-11630 - [c23]Jie He, Lei Yang, Yunping Zhu, Donglian Li, Zhixing Ding, Yuhuan Lu, Bocheng Liang, Shengli Li:
Fetal Cardiac Structure Detection Using Multi-task Learning. ICIC (LNBI 2) 2024: 405-419 - [c22]Bin Pu, Xingguo Lv, Jiewen Yang, Guannan He, Xingbo Dong, Yiqun Lin, Shengli Li, Tan Ying, Fei Liu, Ming Chen, Zhe Jin, Kenli Li, Xiaomeng Li:
Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images. ICML 2024 - [c21]Juncheng Guo, Jianxin Lin, Guanghua Tan, Yuhuan Lu, Zhan Gao, Shengli Li, Kenli Li:
Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning. MICCAI (5) 2024: 734-743 - [c20]Liwen Wang, Xiaoyan Zhang, Guannan He, Ying Tan, Shengli Li, Bin Pu, Zhe Jin, Wen Sha, Xingbo Dong:
Learning Frequency and Structure in UDA for Medical Object Detection. PRCV (14) 2024: 518-532 - 2023
- [j18]Zhan Gao, Zean Tian, Bin Pu, Shengli Li, Kenli Li:
Deep endpoints focusing network under geometric constraints for end-to-end biometric measurement in fetal ultrasound images. Comput. Biol. Medicine 165: 107399 (2023) - 2022
- [j17]Lei Zhao, Kenli Li, Bin Pu, Jianguo Chen, Shengli Li, Xiangke Liao:
An ultrasound standard plane detection model of fetal head based on multi-task learning and hybrid knowledge graph. Future Gener. Comput. Syst. 135: 234-243 (2022) - [j16]Laifa Ma, Guanghua Tan, Hongxia Luo, Qing Liao, Shengli Li, Kenli Li:
A Novel Deep Learning Framework for Automatic Recognition of Thyroid Gland and Tissues of Neck in Ultrasound Image. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6113-6124 (2022) - [j15]Bin Pu, Yuhuan Lu, Jianguo Chen, Shengli Li, Ningbo Zhu, Wei Wei, Kenli Li:
MobileUNet-FPN: A Semantic Segmentation Model for Fetal Ultrasound Four-Chamber Segmentation in Edge Computing Environments. IEEE J. Biomed. Health Informatics 26(11): 5540-5550 (2022) - 2021
- [j14]Bin Pu, Ningbo Zhu, Kenli Li, Shengli Li:
Fetal cardiac cycle detection in multi-resource echocardiograms using hybrid classification framework. Future Gener. Comput. Syst. 115: 825-836 (2021) - [j13]Bin Pu, Kenli Li, Shengli Li, Ningbo Zhu:
Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT. IEEE Trans. Ind. Informatics 17(11): 7771-7780 (2021) - 2020
- [j12]Chaoyu Chen, Xin Yang, Haoran Dou, Ruobing Huang, Xiaoqiong Huang, Xu Wang, Chong Duan, Shengli Li, Wufeng Xue, Pheng-Ann Heng, Dong Ni:
Bridge Segmentation Performance Gap Via Evolving Shape Prior. IEEE Access 8: 173961-173973 (2020) - [j11]Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni:
Hybrid attention for automatic segmentation of whole fetal head in prenatal ultrasound volumes. Comput. Methods Programs Biomed. 194: 105519 (2020) - [j10]Laifa Ma, Zheng Xiao, Kenli Li, Shengli Li, Jianlin Li, Xiaoping Yi:
Game theoretic interpretability for learning based preoperative gliomas grading. Future Gener. Comput. Syst. 112: 1-10 (2020) - [j9]Xiangqiong Wu, Guanghua Tan, Kenli Li, Shengli Li, Huaxuan Wen, Xianyi Zhu, Wenli Cai:
Deep Parametric Active Contour Model for Neurofibromatosis Segmentation. Future Gener. Comput. Syst. 112: 58-66 (2020) - [j8]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) - [i3]Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni:
Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes. CoRR abs/2004.13567 (2020)
2010 – 2019
- 2019
- [j7]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) - [j6]Xin Yang, Lequan Yu, Shengli Li, Huaxuan Wen, Dandan Luo, Cheng Bian, Jing Qin, Dong Ni, Pheng-Ann Heng:
Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound. IEEE Trans. Medical Imaging 38(1): 180-193 (2019) - [c19]Xu Wang, Xin Yang, Haoran Dou, Shengli Li, Pheng-Ann Heng, Dong Ni:
Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes. BHI 2019: 1-5 - [c18]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 - [c17]Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, Pheng-Ann Heng:
FetusMap: Fetal Pose Estimation in 3D Ultrasound. MICCAI (5) 2019: 281-289 - [i2]Xu Wang, Xin Yang, Haoran Dou, Shengli Li, Pheng-Ann Heng, Dong Ni:
Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes. CoRR abs/1909.00186 (2019) - [i1]Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, Pheng-Ann Heng:
FetusMap: Fetal Pose Estimation in 3D Ultrasound. CoRR abs/1910.04935 (2019) - 2018
- [j5]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) - [j4]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) - [c16]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 - [c15]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 - [c14]Xin Yang, Haoran Dou, Ran Li, Xu Wang, Cheng Bian, Shengli Li, Dong Ni, Pheng-Ann Heng:
Generalizing Deep Models for Ultrasound Image Segmentation. MICCAI (4) 2018: 497-505 - 2017
- [j3]Lingyun Wu, Jie-Zhi Cheng, Shengli Li, Bai Ying Lei, Tianfu Wang, Dong Ni:
FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks. IEEE Trans. Cybern. 47(5): 1336-1349 (2017) - [j2]Hao Chen, Lingyun Wu, Qi Dou, Jing Qin, Shengli Li, Jie-Zhi Cheng, Dong Ni, Pheng-Ann Heng:
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework. IEEE Trans. Cybern. 47(6): 1576-1586 (2017) - [c13]Zhen Yu, Dong Ni, Siping Chen, Jing Qin, Shengli Li, Tianfu Wang, Bai Ying Lei:
Hybrid dermoscopy image classification framework based on deep convolutional neural network and Fisher vector. ISBI 2017: 301-304 - [c12]Lingyun Wu, Yang Xin, Shengli Li, Tianfu Wang, Pheng-Ann Heng, Dong Ni:
Cascaded Fully Convolutional Networks for automatic prenatal ultrasound image segmentation. ISBI 2017: 663-666 - [c11]Xin Yang, Lequan Yu, Shengli Li, Xu Wang, Na Wang, Jing Qin, Dong Ni, Pheng-Ann Heng:
Towards Automatic Semantic Segmentation in Volumetric Ultrasound. MICCAI (1) 2017: 711-719 - 2016
- [c10]Zhen Yu, Dong Ni, Siping Chen, Shengli Li, Tianfu Wang, Bai Ying Lei:
Fetal facial standard plane recognition via very deep convolutional networks. EMBC 2016: 627-630 - 2015
- [j1]Hao Chen, Dong Ni, Jing Qin, Shengli Li, Xin Yang, Tianfu Wang, Pheng-Ann Heng:
Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks. IEEE J. Biomed. Health Informatics 19(5): 1627-1636 (2015) - [c9]Wanjun Li, Dong Ni, Siping Chen, Bai Ying Lei, Tianfu Wang, Yuan Yao, Shengli Li:
Discriminative learning for automatic staging of placental maturity via multi-layer fisher vector. ICICS 2015: 1-5 - [c8]Hao Chen, Qi Dou, Dong Ni, Jie-Zhi Cheng, Jing Qin, Shengli Li, Pheng-Ann Heng:
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks. MICCAI (1) 2015: 507-514 - 2014
- [c7]Baiying Lei, Xinyao Li, Yuan Yao, Shengli Li, Siping Chen, Yongjin Zhou, Dong Ni, Tianfu Wang:
Automatic grading of placental maturity based on LIOP and fisher vector. EMBC 2014: 4671-4674 - [c6]Bai Ying Lei, Liu Zhuo, Siping Chen, Shengli Li, Dong Ni, Tianfu Wang:
Automatic recognition of fetal standard plane in ultrasound image. ISBI 2014: 85-88 - [c5]Xin Yang, Dong Ni, Jing Qin, Shengli Li, Tianfu Wang, Siping Chen, Pheng-Ann Heng:
Standard plane localization in ultrasound by radial component. ISBI 2014: 1180-1183 - [c4]Hao Chen, Dong Ni, Xin Yang, Shengli Li, Pheng-Ann Heng:
Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer. MLMI 2014: 125-132 - 2013
- [c3]Dong Ni, Yong Yang, Shengli Li, Jing Qin, Shuyuan Ouyang, Tianfu Wang, Pheng-Ann Heng:
Learning based automatic head detection and measurement from fetal ultrasound images via prior knowledge and imaging parameters. ISBI 2013: 772-775 - [c2]Dong Ni, Tianmei Li, Xin Yang, Jing Qin, Shengli Li, Chien Ting Chin, Shuyuan Ouyang, Tianfu Wang, Siping Chen:
Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound. Abdominal Imaging 2013: 203-211 - 2011
- [c1]Ling Zhang, Siping Chen, Shengli Li, Tianfu Wang:
Automatic measurement of early gestational sac diameters from one scan session. Computer-Aided Diagnosis 2011: 796342
Coauthor Index
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