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Qinlan Xie

Showing results (1-10 of 8) with videos related to

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Computers in Biology and Medicine|July 20, 2023
Collaborative networks of transformers and convolutional neural networks are powerful and versatile learners for accurate 3D medical image segmentationYong Chen, Xuesong Lu, Qinlan Xie
IEEE Journal of Biomedical and Health Informatics|April 22, 2024
SSCFormer: Revisiting ConvNet-Transformer Hybrid Framework From Scale-Wise and Spatial-Channel-Aware Perspectives for Volumetric Medical Image SegmentationQinlan Xie, Yong Chen, Shenglin Liu, et al.
Scientific Reports|July 18, 2018
Fully automatic liver segmentation combining multi-dimensional graph cut with shape information in 3D CT imagesXuesong Lu, Qinlan Xie, Yunfei Zha, et al.
Medical Physics|February 27, 2026
Complementary fusion network of scaling attention and global attention for volumetric medical image segmentationYong Chen, Xuesong Lu, Hong Chen, et al.
Physics in Medicine and Biology|January 9, 2026
Deformable image registration using multi-resolution vision transformer for cardiac motion estimationXuesong Lu, Huaqiu Zhao, Hong Chen, et al.
Biomedical Engineering Online|March 30, 2017
Nonrigid registration with corresponding points constraint for automatic segmentation of cardiac DSCT imagesXuesong Lu, Rongqian Yang, Qinlan Xie, et al.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|November 18, 2024
Quantitative analysis of dried serum FTIR spectra based on correlation Analysis-Interval random Frog-Partial least squaresRuojing Zhang, Xianwen Zhang, Hongrui Guo, et al.
Scientific Reports|July 2, 2025
A deep learning approach to stress recognition through multimodal physiological signal image transformationShiqi Yang, Yuan Gao, Yao Zhu, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Computers in Biology and Medicine|July 20, 2023
Collaborative networks of transformers and convolutional neural networks are powerful and versatile learners for accurate 3D medical image segmentationYong Chen, Xuesong Lu, Qinlan Xie
IEEE Journal of Biomedical and Health Informatics|April 22, 2024
SSCFormer: Revisiting ConvNet-Transformer Hybrid Framework From Scale-Wise and Spatial-Channel-Aware Perspectives for Volumetric Medical Image SegmentationQinlan Xie, Yong Chen, Shenglin Liu, et al.
Scientific Reports|July 18, 2018
Fully automatic liver segmentation combining multi-dimensional graph cut with shape information in 3D CT imagesXuesong Lu, Qinlan Xie, Yunfei Zha, et al.
Medical Physics|February 27, 2026
Complementary fusion network of scaling attention and global attention for volumetric medical image segmentationYong Chen, Xuesong Lu, Hong Chen, et al.
Physics in Medicine and Biology|January 9, 2026
Deformable image registration using multi-resolution vision transformer for cardiac motion estimationXuesong Lu, Huaqiu Zhao, Hong Chen, et al.
Biomedical Engineering Online|March 30, 2017
Nonrigid registration with corresponding points constraint for automatic segmentation of cardiac DSCT imagesXuesong Lu, Rongqian Yang, Qinlan Xie, et al.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|November 18, 2024
Quantitative analysis of dried serum FTIR spectra based on correlation Analysis-Interval random Frog-Partial least squaresRuojing Zhang, Xianwen Zhang, Hongrui Guo, et al.
Scientific Reports|July 2, 2025
A deep learning approach to stress recognition through multimodal physiological signal image transformationShiqi Yang, Yuan Gao, Yao Zhu, et al.
Pageof 1