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Zaiyi Liu

Showing results (71-80 of 284) with videos related to

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IEEE Reviews in Biomedical Engineering|July 21, 2023
Vision Transformers for Computational HistopathologyHongming Xu, Qi Xu, Fengyu Cong, et al.
Medical Image Analysis|April 28, 2026
FKDNuSeg: Flawless knowledge distillation for lightweight and fast nuclei instance segmentation and classificationBingchao Zhao, Jingxin Luo, Jiatai Lin, et al.
IEEE Transactions on Bio-Medical Engineering|July 12, 2018
A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor ClassificationYongjin Zhou, Jingxu Xu, Qiegen Liu, et al.
Physics in Medicine and Biology|November 14, 2019
AUNet: attention-guided dense-upsampling networks for breast mass segmentation in whole mammogramsHui Sun, Cheng Li, Boqiang Liu, et al.
Physics in Medicine and Biology|March 27, 2020
Normalization of multicenter CT radiomics by a generative adversarial network methodYajun Li, Guoqiang Han, Xiaomei Wu, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 27, 2016
Multiparametric MR diffusion-weighted imaging for monitoring the ultra-early treatment effect of sorafenib in human hepatocellular carcinoma xenograftsXin Chen, Zelan Ma, Yanqi Huang, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 19, 2017
Intravoxel incoherent motion MRI for the differentiation of benign, intermediate, and malignant solid soft-tissue tumorsHaijun Wu, Shuixing Zhang, Changhong Liang, et al.
Academic Radiology|February 12, 2018
An MRI-based Radiomics Classifier for Preoperative Prediction of Ki-67 Status in Breast CancerCuishan Liang, Zixuan Cheng, Yanqi Huang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Semi-automated enhanced breast tumor segmentation for CT imageChao Wang, Meng Li, Xia Liu, et al.
Medical Image Analysis|July 9, 2017
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentationShuo Wang, Mu Zhou, Zaiyi Liu, et al.
Pageof 29

Showing results (71-80 of 284) with videos related to

Sort By:
Pageof 29
IEEE Reviews in Biomedical Engineering|July 21, 2023
Vision Transformers for Computational HistopathologyHongming Xu, Qi Xu, Fengyu Cong, et al.
Medical Image Analysis|April 28, 2026
FKDNuSeg: Flawless knowledge distillation for lightweight and fast nuclei instance segmentation and classificationBingchao Zhao, Jingxin Luo, Jiatai Lin, et al.
IEEE Transactions on Bio-Medical Engineering|July 12, 2018
A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor ClassificationYongjin Zhou, Jingxu Xu, Qiegen Liu, et al.
Physics in Medicine and Biology|November 14, 2019
AUNet: attention-guided dense-upsampling networks for breast mass segmentation in whole mammogramsHui Sun, Cheng Li, Boqiang Liu, et al.
Physics in Medicine and Biology|March 27, 2020
Normalization of multicenter CT radiomics by a generative adversarial network methodYajun Li, Guoqiang Han, Xiaomei Wu, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 27, 2016
Multiparametric MR diffusion-weighted imaging for monitoring the ultra-early treatment effect of sorafenib in human hepatocellular carcinoma xenograftsXin Chen, Zelan Ma, Yanqi Huang, et al.
Journal of Magnetic Resonance Imaging : JMRI|April 19, 2017
Intravoxel incoherent motion MRI for the differentiation of benign, intermediate, and malignant solid soft-tissue tumorsHaijun Wu, Shuixing Zhang, Changhong Liang, et al.
Academic Radiology|February 12, 2018
An MRI-based Radiomics Classifier for Preoperative Prediction of Ki-67 Status in Breast CancerCuishan Liang, Zixuan Cheng, Yanqi Huang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Semi-automated enhanced breast tumor segmentation for CT imageChao Wang, Meng Li, Xia Liu, et al.
Medical Image Analysis|July 9, 2017
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentationShuo Wang, Mu Zhou, Zaiyi Liu, et al.
Pageof 29