Wu Zhou

Orcid: 0000-0002-5917-1723

Affiliations:
  • Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Key Laboratory of Health Informatics, China


According to our database1, Wu Zhou authored at least 22 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Image Synthesis of Hepatobiliary Phase using Contrast-Enhanced MRI and Diffusion Model.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Self-Supervised Learning with Unsupervised Motion Correction for Fitting IVIM Model.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma.
Pattern Recognit., October, 2023

Transformer-Based Tooth Segmentation, Identification and Pulp Calcification Recognition in CBCT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Triplet-Uncertainty in Multi-Task Deep Learning for Improving Malignancy Characterization of Hepatocellular Carcinoma.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Inter-Modal Conditional-Guided Fusion Network with Transformer for Grading Hepatocellular Carcinoma.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Teeth and Root Canals Segmentation using Zxyformer with Uncertainty Guidance and Weight Transfer.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Adaptive Multimodal Fusion With Attention Guided Deep Supervision Net for Grading Hepatocellular Carcinoma.
IEEE J. Biomed. Health Informatics, 2022

DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma.
Comput. Methods Programs Biomed., 2022

Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR.
Comput. Medical Imaging Graph., 2022

Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020
Super-Resolution and Self-Attention with Generative Adversarial Network for Improving Malignancy Characterization of Hepatocellular Carcinoma.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Similarity Steered Generative Adversarial Network and Adaptive Transfer Learning for Malignancy Characterization of Hepatocellualr Carcinoma.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Prediction Of Microvascular Invasion Of Hepatocellar Carcinoma With Contrast-Enhanced MR Using 3D CNN And LSTM.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Discrepancy Steered Conditional Adversarial Network For Deep Feature Based Malignancy Characterization of Hepatocellular Carcinoma.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Improving the malignancy characterization of hepatocellular carcinoma using deeply supervised cross modal transfer learning for non-enhanced MR.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Local and Non-local Deep Feature Fusion for Malignancy Characterization of Hepatocellular Carcinoma.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

3D deep feature fusion in contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2D and 3D Convolutional Neural Network Fusion for Predicting the Histological Grade of Hepatocellular Carcinoma.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Malignancy characterization of hepatocellular carcinoma using hybrid texture and deep features.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2013
Interactive Medical Image Segmentation Using Snake and Multiscale Curve Editing.
Comput. Math. Methods Medicine, 2013

Nonrigid Registration of Lung CT Images Based on Tissue Features.
Comput. Math. Methods Medicine, 2013


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