Shengli Li

Orcid: 0000-0003-0570-4165

Affiliations:
  • Nanfang (Southern) Medical University, Affiliated Shenzhen Maternal and Child Healthcare Hospital, Department of Ultrasound, Guangzhoui, China


According to our database1, Shengli Li authored at least 39 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
MLMSeg: A multi-view learning model for ultrasound thyroid nodule segmentation.
Comput. Biol. Medicine, February, 2024

A knowledge-interpretable multi-task learning framework for automated thyroid nodule diagnosis in ultrasound videos.
Medical Image Anal., January, 2024

2023
Deep endpoints focusing network under geometric constraints for end-to-end biometric measurement in fetal ultrasound images.
Comput. Biol. Medicine, October, 2023

2022
MobileUNet-FPN: A Semantic Segmentation Model for Fetal Ultrasound Four-Chamber Segmentation in Edge Computing Environments.
IEEE J. Biomed. Health Informatics, 2022

A Novel Deep Learning Framework for Automatic Recognition of Thyroid Gland and Tissues of Neck in Ultrasound Image.
IEEE Trans. Circuits Syst. Video Technol., 2022

An ultrasound standard plane detection model of fetal head based on multi-task learning and hybrid knowledge graph.
Future Gener. Comput. Syst., 2022

2021
Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT.
IEEE Trans. Ind. Informatics, 2021

Fetal cardiac cycle detection in multi-resource echocardiograms using hybrid classification framework.
Future Gener. Comput. Syst., 2021

2020
A Generic Quality Control Framework for Fetal Ultrasound Cardiac Four-Chamber Planes.
IEEE J. Biomed. Health Informatics, 2020

Deep Parametric Active Contour Model for Neurofibromatosis Segmentation.
Future Gener. Comput. Syst., 2020

Game theoretic interpretability for learning based preoperative gliomas grading.
Future Gener. Comput. Syst., 2020

Hybrid attention for automatic segmentation of whole fetal head in prenatal ultrasound volumes.
Comput. Methods Programs Biomed., 2020

Bridge Segmentation Performance Gap Via Evolving Shape Prior.
IEEE Access, 2020

2019
Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound.
IEEE Trans. Medical Imaging, 2019

Multi-task learning for quality assessment of fetal head ultrasound images.
Medical Image Anal., 2019

SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

FetusMap: Fetal Pose Estimation in 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition.
IEEE J. Biomed. Health Informatics, 2018

Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting.
IEEE J. Biomed. Health Informatics, 2018

Generalizing Deep Models for Ultrasound Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Quality Assessment of Fetal Head Ultrasound Images Based on Faster R-CNN.
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018

Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-scale Dense Networks.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

2017
FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks.
IEEE Trans. Cybern., 2017

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework.
IEEE Trans. Cybern., 2017

Towards Automatic Semantic Segmentation in Volumetric Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Hybrid dermoscopy image classification framework based on deep convolutional neural network and Fisher vector.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Cascaded Fully Convolutional Networks for automatic prenatal ultrasound image segmentation.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Fetal facial standard plane recognition via very deep convolutional networks.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks.
IEEE J. Biomed. Health Informatics, 2015

Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Discriminative learning for automatic staging of placental maturity via multi-layer fisher vector.
Proceedings of the 10th International Conference on Information, 2015

2014
Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Standard plane localization in ultrasound by radial component.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Automatic recognition of fetal standard plane in ultrasound image.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Automatic grading of placental maturity based on LIOP and fisher vector.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound.
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013

Learning based automatic head detection and measurement from fetal ultrasound images via prior knowledge and imaging parameters.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2011
Automatic measurement of early gestational sac diameters from one scan session.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011


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