Zhenyu Tang
Orcid: 0000-0002-6998-2669Affiliations:
- Beihang University, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China
- Anhui University, Departmnet of computer science and technology, Hefei, China
- University of North Carolina at Chapel Hill, Department of Radiology and BRIC, NC, USA
- Chinese Academy of Science, Automation Institute, China
- University of Duisburg-Essen, department of Computer Engineering, Germany (PhD 2011)
According to our database1,
Zhenyu Tang
authored at least 20 papers
between 2018 and 2024.
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Bibliography
2024
A New Multi-Atlas Based Deep Learning Segmentation Framework With Differentiable Atlas Feature Warping.
IEEE J. Biomed. Health Informatics, March, 2024
IEEE Trans. Image Process., 2024
2023
Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Frontiers Neuroinformatics, 2022
Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodal Normal Brain Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
2021
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images.
Pattern Recognit., 2021
2020
Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients.
IEEE Trans. Medical Imaging, 2020
Deep Spatial-Temporal Feature Fusion From Adaptive Dynamic Functional Connectivity for MCI Identification.
IEEE Trans. Medical Imaging, 2020
Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks.
IEEE Trans. Image Process., 2020
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images.
CoRR, 2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19.
CoRR, 2020
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images.
CoRR, 2020
Brain Image Parcellation Using Fully Convolutional Network with Adaptively Selected Features from Brain Atlases.
Proceedings of the 9th International Conference on Bioinformatics and Biomedical Science, 2020
Two-stage Generative Adversarial Recovery Network for MR Brain Images Containing Tumors.
Proceedings of the 9th International Conference on Bioinformatics and Biomedical Science, 2020
Multi-scale Hierarchy Feature Fusion Generative Adversarial Network for Low-Dose CT Denoising.
Proceedings of the 9th International Conference on Bioinformatics and Biomedical Science, 2020
2019
A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases.
IEEE Trans. Image Process., 2019
A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration.
IEEE Trans. Biomed. Eng., 2019
Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery.
IEEE Trans. Medical Imaging, 2018