Dong Zhang
Orcid: 0000-0002-2948-1384Affiliations:
- Western University, London, ON, Canada
According to our database1,
Dong Zhang
authored at least 23 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Deep Generative Adversarial Reinforcement Learning for Semi-Supervised Segmentation of Low-Contrast and Small Objects in Medical Images.
IEEE Trans. Medical Imaging, September, 2024
Self-supervised anatomical continuity enhancement network for 7T SWI synthesis from 3T SWI.
Medical Image Anal., 2024
Unsupervised physics-informed deep learning for assessing pulmonary artery hemodynamics.
Expert Syst. Appl., 2024
2023
Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents.
Medical Image Anal., December, 2023
Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation.
IEEE Trans. Big Data, August, 2023
Distance transform learning for structural and functional analysis of coronary artery from dual-view angiography.
Future Gener. Comput. Syst., August, 2023
Heuristic multi-modal integration framework for liver tumor detection from multi-modal non-enhanced MRIs.
Expert Syst. Appl., July, 2023
IEEE Trans. Medical Imaging, March, 2023
BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation.
IEEE J. Biomed. Health Informatics, 2023
A Physics-Guided Deep Learning Approach for Functional Assessment of Cardiovascular Disease in IoT-Based Smart Health.
IEEE Internet Things J., 2023
2022
Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Sequential conditional reinforcement learning for simultaneous vertebral body detection and segmentation with modeling the spine anatomy.
Medical Image Anal., 2021
Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning.
Medical Image Anal., 2021
Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images.
Medical Image Anal., 2021
Applying Cross-Modality Data Processing for Infarction Learning in Medical Internet of Things.
IEEE Internet Things J., 2021
Joint Segmentation and Quantification of Main Coronary Vessels Using Dual-Branch Multi-scale Attention Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
A Multi-Label Classification Method Using a Hierarchical and Transparent Representation for Paper-Reviewer Recommendation.
ACM Trans. Inf. Syst., 2020
Direct Quantification of Coronary Artery Stenosis Through Hierarchical Attentive Multi-View Learning.
IEEE Trans. Medical Imaging, 2020
Holistic multitask regression network for multiapplication shape regression segmentation.
Medical Image Anal., 2020
2019
A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Scientometrics, 2018