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Kenli Li

Showing results (51-60 of 74) with videos related to

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IEEE Journal of Biomedical and Health Informatics|April 22, 2024
FARN: Fetal Anatomy Reasoning Network for Detection With Global Context Semantic and Local Topology RelationshipLei Zhao, Guanghua Tan, Qianghui Wu, et al.
Computers in Biology and Medicine|January 4, 2024
MLMSeg: A multi-view learning model for ultrasound thyroid nodule segmentationGuanyuan Chen, Guanghua Tan, Mingxing Duan, et al.
IEEE Journal of Biomedical and Health Informatics|July 10, 2024
SKGC: A General Semantic-Level Knowledge Guided Classification Framework for Fetal Congenital Heart DiseaseYuhuan Lu, Guanghua Tan, Bin Pu, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 17, 2024
STFormer: Spatial-Temporal-Aware Transformer for Video Instance SegmentationHao Li, Wei Wang, Mengzhu Wang, et al.
Briefings in Bioinformatics|June 12, 2021
DeepR2cov: deep representation learning on heterogeneous drug networks to discover anti-inflammatory agents for COVID-19Xiaoqi Wang, Bin Xin, Weihong Tan, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|July 26, 2022
Enhanced performance of p-type SnO<i></i>thin film transistors through defect compensationWei Zhang, Ruohao Hong, Wenjing Qin, et al.
Bioinformatics (Oxford, England)|February 9, 2017
cooccurNet: an R package for co-occurrence network construction and analysisYuanqiang Zou, Zhiqiang Wu, Lizong Deng, et al.
IEEE Transactions on Cybernetics|April 5, 2023
Influence Maximization in Multiagent Systems by a Graph Embedding Method: Dealing With Probabilistically Unstable LinksMincan Li, Zidong Wang, Qing-Long Han, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|May 8, 2025
GEOMETRIC CONSTRAINED DEEP LEARNING FOR MOTION CORRECTION OF FETAL BRAIN MR IMAGESLaifa Ma, Liangjun Chen, Fenqiang Zhao, et al.
IEEE Transactions on Medical Imaging|March 12, 2025
Optical Flow-Enhanced Mamba U-Net for Cardiac Phase Detection in Ultrasound VideosYuhuan Lu, Guanghua Tan, Bin Pu, et al.
Pageof 8

Showing results (51-60 of 74) with videos related to

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Pageof 8
IEEE Journal of Biomedical and Health Informatics|April 22, 2024
FARN: Fetal Anatomy Reasoning Network for Detection With Global Context Semantic and Local Topology RelationshipLei Zhao, Guanghua Tan, Qianghui Wu, et al.
Computers in Biology and Medicine|January 4, 2024
MLMSeg: A multi-view learning model for ultrasound thyroid nodule segmentationGuanyuan Chen, Guanghua Tan, Mingxing Duan, et al.
IEEE Journal of Biomedical and Health Informatics|July 10, 2024
SKGC: A General Semantic-Level Knowledge Guided Classification Framework for Fetal Congenital Heart DiseaseYuhuan Lu, Guanghua Tan, Bin Pu, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 17, 2024
STFormer: Spatial-Temporal-Aware Transformer for Video Instance SegmentationHao Li, Wei Wang, Mengzhu Wang, et al.
Briefings in Bioinformatics|June 12, 2021
DeepR2cov: deep representation learning on heterogeneous drug networks to discover anti-inflammatory agents for COVID-19Xiaoqi Wang, Bin Xin, Weihong Tan, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|July 26, 2022
Enhanced performance of p-type SnO<i></i>thin film transistors through defect compensationWei Zhang, Ruohao Hong, Wenjing Qin, et al.
Bioinformatics (Oxford, England)|February 9, 2017
cooccurNet: an R package for co-occurrence network construction and analysisYuanqiang Zou, Zhiqiang Wu, Lizong Deng, et al.
IEEE Transactions on Cybernetics|April 5, 2023
Influence Maximization in Multiagent Systems by a Graph Embedding Method: Dealing With Probabilistically Unstable LinksMincan Li, Zidong Wang, Qing-Long Han, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|May 8, 2025
GEOMETRIC CONSTRAINED DEEP LEARNING FOR MOTION CORRECTION OF FETAL BRAIN MR IMAGESLaifa Ma, Liangjun Chen, Fenqiang Zhao, et al.
IEEE Transactions on Medical Imaging|March 12, 2025
Optical Flow-Enhanced Mamba U-Net for Cardiac Phase Detection in Ultrasound VideosYuhuan Lu, Guanghua Tan, Bin Pu, et al.
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