Qiaowei Zhang
According to our database1,
Qiaowei Zhang
authored at least 18 papers
between 2018 and 2022.
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Bibliography
2022
MTL-ABS<sup>3</sup>Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images.
IEEE J. Biomed. Health Informatics, 2022
2021
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images.
CoRR, 2021
IEEE Access, 2021
2020
CasCRNN-GL-Net: cascaded convolutional and recurrent neural networks with global and local pathways for classification of focal liver lesions in multi-phase CT images.
Commun. Inf. Syst., 2020
Deep Fusion Models of Multi-Phase CT and Selected Clinical Data for Preoperative Prediction of Early Recurrence in Hepatocellular Carcinoma.
IEEE Access, 2020
WNET: An End-to-End Atlas-Guided and Boundary-Enhanced Network for Medical Image Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images.
Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2019
2018
Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 2018 International Conference on Digital Medicine and Image Processing, 2018