Shengfeng Liu

According to our database, Shengfeng Liu authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

LaSCL-PLC: Lesion-Aware Supervised Contrastive Learning for Patient-Level Classification of Brainstem and Cerebellar Hemangioblastomas.

Botao Zhao, Yan Ren, Yaru Sheng, Shengfeng Liu, Jing Zhang, Shengjie Zhang, Yu Zhang, Xiao-Yong Zhang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Individualized Brain Parcellation Using Multimodal Fusion and Graph Convolution Networks.

Jing Zhang, Jingguo Dai, Zhichao Wang, Shengfeng Liu, Haotian Qian, Botao Zhao, Yu Zhang

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Joint Resource Allocation and Interference Management for Vehicular Networks.

Shengfeng Liu, Feipeng Dai, Haixia Cui

Proceedings of the 2023 International Conference on Power, 2023

Fast and Adaptive Construction of Gyral Morphological Networks Based on Morphometric Features of Cortical Surface.

Shengfeng Liu, Luqi Cheng, Yu Zhang, Tianzi Jiang

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.

Botao Zhao, Ming Song, Shengfeng Liu, Lan Sun, Wentao Jiang, Haotian Qian, Xiao-Yong Zhang, Yu Zhang, Tianzi Jiang

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.

Zhiyong Xia, Liping Zhang, Shengfeng Liu, Wei Ran, Yujuan Liu, Jihong Tu

J. Supercomput., 2022

Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip.

Xindi Hu, Limin Wang, Xin Yang, Xu Zhou, Wufeng Xue, Yan Cao, Shengfeng Liu, Yuhao Huang, Shuangping Guo, Ning Shang, Dong Ni, Ning Gu

IEEE J. Biomed. Health Informatics, 2022

NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns.

Shengfeng Liu, Fangfei Ge, Lin Zhao, Tianfu Wang, Dong Ni, Tianming Liu

Medical Image Anal., 2022

2020

CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound Images.

Haoming Li, Jinghui Fang, Shengfeng Liu, Xiaowen Liang, Xin Yang, Zixin Mai, Manh The Van, Tianfu Wang, Zhiyi Chen, Dong Ni

IEEE J. Biomed. Health Informatics, 2020

A Generic Quality Control Framework for Fetal Ultrasound Cardiac Four-Chamber Planes.

Jinbao Dong, Shengfeng Liu, Yimei Liao, Huaxuan Wen, Baiying Lei, Shengli Li, Tianfu Wang

IEEE J. Biomed. Health Informatics, 2020

Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer.

Zhendong Liu, Xin Yang, Rui Gao, Shengfeng Liu, Haoran Dou, Shuangchi He, Yuhao Huang, Yankai Huang, Huanjia Luo, Yuanji Zhang, Yi Xiong, Dong Ni

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.

Chaoyu Chen, Xin Yang, Ruobing Huang, Wenlong Shi, Shengfeng Liu, Mingrong Lin, Yuhao Huang, Yong Yang, Yuanji Zhang, Huanjia Luo, Yankai Huang, Yi Xiong, Dong Ni

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.

Jinbao Dong, Shengfeng Liu, Tianfu Wang

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.

Weizheng Yan, Sergey M. Plis, Vince D. Calhoun, Shengfeng Liu, Rongtao Jiang, Tian-Zi Jiang, Jing Sui

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017