Shengfeng Liu

Orcid: 0000-0002-6902-3329

According to our database1, Shengfeng Liu authored at least 12 papers between 2017 and 2023.

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Bibliography

2023
Joint Resource Allocation and Interference Management for Vehicular Networks.
Proceedings of the 2023 International Conference on Power, 2023

Fast and Adaptive Construction of Gyral Morphological Networks Based on Morphometric Features of Cortical Surface.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

MosaicNet: A deep-learning-based multi-tile biomedical image stitching method.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Deep learning-based hysteroscopic intelligent examination and ultrasound examination for diagnosis of endometrial carcinoma.
J. Supercomput., 2022

Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip.
IEEE J. Biomed. Health Informatics, 2022

NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns.
Medical Image Anal., 2022

2020
CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound Images.
IEEE J. Biomed. Health Informatics, 2020

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

Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Region Proposal Network with Graph Prior and Iou-Balance Loss for Landmark Detection in 3D Ultrasound.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
ARVBNet: Real-Time Detection of Anatomical Structures in Fetal Ultrasound Cardiac Four-Chamber Planes.
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019

2017
Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017


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