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Xianhua Han

Showing results (11-20 of 25) with videos related to

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Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|April 30, 2024
[Medical image segmentation data augmentation method based on channel weight and data-efficient features]Xing Wu, Chenjie Tao, Zhi Li, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung CancerYang Ai, Panyanat Aonpong, Weibin Wang, et al.
Computational and Mathematical Methods in Medicine|November 5, 2013
Computer-aided diagnosis and quantification of cirrhotic livers based on morphological analysis and machine learningYen-Wei Chen, Jie Luo, Chunhua Dong, et al.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|April 27, 2025
[Small bowel video keyframe retrieval based on multi-modal contrastive learning]Xing Wu, Guoyin Yang, Jingwen Li, et al.
Journal of Healthcare Engineering|December 5, 2017
An Improved Random Walker with Bayes Model for Volumetric Medical Image SegmentationChunhua Dong, Xiangyan Zeng, Lanfen Lin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical DataWeibin Wang, Qingqing Chen, Yutaro Iwamoto, et al.
Neuropsychiatric Disease and Treatment|August 21, 2018
Validation of abnormal glucose metabolism associated with Parkinson's disease in Chinese participants based on 18F-fluorodeoxyglucose positron emission tomography imagingRongbing Jin, Jingjie Ge, Ping Wu, et al.
IEEE Journal of Biomedical and Health Informatics|January 4, 2019
Classification and Quantification of Emphysema Using a Multi-Scale Residual NetworkLiying Peng, Lanfen Lin, Hongjie Hu, et al.
Frontiers in Radiology|July 26, 2023
Phase Attention Model for Prediction of Early Recurrence of Hepatocellular Carcinoma With Multi-Phase CT Images and Clinical DataWeibin Wang, Fang Wang, Qingqing Chen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT ImagesRahul Kumar Jain, Takahiro Sato, Taro Watasue, et al.
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Showing results (11-20 of 25) with videos related to

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Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|April 30, 2024
[Medical image segmentation data augmentation method based on channel weight and data-efficient features]Xing Wu, Chenjie Tao, Zhi Li, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung CancerYang Ai, Panyanat Aonpong, Weibin Wang, et al.
Computational and Mathematical Methods in Medicine|November 5, 2013
Computer-aided diagnosis and quantification of cirrhotic livers based on morphological analysis and machine learningYen-Wei Chen, Jie Luo, Chunhua Dong, et al.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi|April 27, 2025
[Small bowel video keyframe retrieval based on multi-modal contrastive learning]Xing Wu, Guoyin Yang, Jingwen Li, et al.
Journal of Healthcare Engineering|December 5, 2017
An Improved Random Walker with Bayes Model for Volumetric Medical Image SegmentationChunhua Dong, Xiangyan Zeng, Lanfen Lin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical DataWeibin Wang, Qingqing Chen, Yutaro Iwamoto, et al.
Neuropsychiatric Disease and Treatment|August 21, 2018
Validation of abnormal glucose metabolism associated with Parkinson's disease in Chinese participants based on 18F-fluorodeoxyglucose positron emission tomography imagingRongbing Jin, Jingjie Ge, Ping Wu, et al.
IEEE Journal of Biomedical and Health Informatics|January 4, 2019
Classification and Quantification of Emphysema Using a Multi-Scale Residual NetworkLiying Peng, Lanfen Lin, Hongjie Hu, et al.
Frontiers in Radiology|July 26, 2023
Phase Attention Model for Prediction of Early Recurrence of Hepatocellular Carcinoma With Multi-Phase CT Images and Clinical DataWeibin Wang, Fang Wang, Qingqing Chen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT ImagesRahul Kumar Jain, Takahiro Sato, Taro Watasue, et al.
Pageof 3