Qiaowei Zhang

According to our database1, Qiaowei Zhang authored at least 18 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

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
Medical Image Segmentation With Deep Atlas Prior.
IEEE Trans. Medical Imaging, 2021

PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images.
CoRR, 2021

Mathematically Proving Bell Nonlocality Motivated by the GHZ Argument.
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

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation.
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

An Effective Differential Power Attack Method for Advanced Encryption Standard.
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

Classification of Focal Liver Lesions Using Deep Learning with Fine-Tuning.
Proceedings of the 2018 International Conference on Digital Medicine and Image Processing, 2018


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