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Dong Zhang 0009
Person information
- affiliation: Western University, London, ON, Canada
Other persons with the same name
- Dong Zhang — disambiguation page
- Dong Zhang 0001 — IDIAP Research Institute, Martigny, Switzerland (and 2 more)
- Dong Zhang 0002
— Sun Yat-sen University, School of Electronics and Information Technology, Guangzhou, China
- Dong Zhang 0003
- Dong Zhang 0004
- Dong Zhang 0005
- Dong Zhang 0006
- Dong Zhang 0007
- Dong Zhang 0008 — National University of Singapore (and 1 more)
- Dong Zhang 0010
- Dong Zhang 0011
- Dong Zhang 0012
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2020 – today
- 2024
- [j14]Dong Zhang
Self-supervised anatomical continuity enhancement network for 7T SWI synthesis from 3T SWI. Medical Image Anal. 95: 103184 (2024) - [j13]Chenchu Xu, Tong Zhang, Dong Zhang, Dingwen Zhang, Junwei Han:
Deep Generative Adversarial Reinforcement Learning for Semi-Supervised Segmentation of Low-Contrast and Small Objects in Medical Images. IEEE Trans. Medical Imaging 43(9): 3072-3084 (2024) - [i5]Li Guo, Anas M. Tahir, Dong Zhang, Z. Jane Wang, Rabab K. Ward:
Automatic Medical Report Generation: Methods and Applications. CoRR abs/2408.13988 (2024) - 2023
- [j12]Dong Zhang
Heuristic multi-modal integration framework for liver tumor detection from multi-modal non-enhanced MRIs. Expert Syst. Appl. 221: 119782 (2023) - [j11]Chenchu Xu
Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents. Medical Image Anal. 90: 102980 (2023) - [j10]Chenchu Xu
Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation. IEEE Trans. Big Data 9(4): 1156-1170 (2023) - [j9]Chenchu Xu
BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation. IEEE J. Biomed. Health Informatics 27(1): 87-96 (2023) - [i4]Maruf Adewole, Jeffrey D. Rudie, Anu Gbadamosi, Oluyemisi Toyobo, Raymond Confidence, Dong Zhang, Olubukola Omidiji, Rachel Akinola, Mohammad Abba Suwaid, Adaobi Emegoakor, Nancy Ojo, Kenneth Aguh, Chinasa Kalaiwo, Gabriel Babatunde, Afolabi Ogunleye, Yewande Gbadamosi, Kator Iorpagher, Evan Calabrese, Mariam Aboian, Marius George Linguraru, Jake Albrecht, Benedikt Wiestler, Florian Kofler, Anastasia Janas, Dominic LaBella, Anahita Fathi Kazerooni, Hongwei Bran Li, Juan Eugenio Iglesias, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Koen Van Leemput, Christina Bukas, Marie Piraud, Gian Marco Conte, Elaine Johanson, Zeke Meier, Bjoern H. Menze, Ujjwal Baid, Spyridon Bakas, Farouk Dako, Abiodun Fatade, Udunna Anazodo:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). CoRR abs/2305.19369 (2023) - [i3]Alyssa R. Amod, Alexandra Smith, Pearly Joubert, Raymond Confidence, Dong Zhang, Udunna C. Anazodo, Dodzi Motchon
Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations. CoRR abs/2312.11770 (2023) - [i2]Mohannad Barakat, Noha Magdy, Jjuuko George William, Ethel Phiri, Raymond Confidence, Dong Zhang, Udunna C. Anazodo:
Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Sharan African Populations. CoRR abs/2312.11775 (2023) - 2022
- [c3]Dong Zhang, Raymond Confidence, Udunna Anazodo:
Stroke Lesion Segmentation from Low-Quality and Few-Shot MRIs via Similarity-Weighted Self-ensembling Framework. MICCAI (5) 2022: 87-96 - [c2]Chenchu Xu, Dong Zhang, Yuhui Song, Leonardo Kayat Bittencourt, Sree Harsha Tirumani, Shuo Li
Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning. MICCAI (5) 2022: 266-275 - 2021
- [j8]Chenchu Xu
Applying Cross-Modality Data Processing for Infarction Learning in Medical Internet of Things. IEEE Internet Things J. 8(23): 16902-16910 (2021) - [j7]Dong Zhang, Bo Chen, Shuo Li
Sequential conditional reinforcement learning for simultaneous vertebral body detection and segmentation with modeling the spine anatomy. Medical Image Anal. 67: 101861 (2021) - [j6]Chenchu Xu, Dong Zhang, Jaron Chong, Bo Chen, Shuo Li
Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning. Medical Image Anal. 69: 101976 (2021) - [j5]Dong Zhang, Bo Chen, Jaron Chong, Shuo Li
Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images. Medical Image Anal. 70: 102005 (2021) - 2020
- [j4]Clara M. Tam
Holistic multitask regression network for multiapplication shape regression segmentation. Medical Image Anal. 65: 101783 (2020) - [j3]Dong Zhang, Shu Zhao, Zhen Duan, Jie Chen, Yanping Zhang, Jie Tang:
A Multi-Label Classification Method Using a Hierarchical and Transparent Representation for Paper-Reviewer Recommendation. ACM Trans. Inf. Syst. 38(1): 5:1-5:20 (2020)
2010 – 2019
- 2019
- [c1]Gongning Luo
A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image. MICCAI (1) 2019: 12-20 - [i1]Dong Zhang, Shu Zhao, Zhen Duan, Jie Chen, Yangping Zhang, Jie Tang:
A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation. CoRR abs/1912.08976 (2019) - 2018
- [j2]Shu Zhao, Dong Zhang, Zhen Duan, Jie Chen, Yan-ping Zhang, Jie Tang:
A novel classification method for paper-reviewer recommendation. Scientometrics 115(3): 1293-1313 (2018) - [j1]Le Yang, Junwei Han
Segmentation in Weakly Labeled Videos via a Semantic Ranking and Optical Warping Network. IEEE Trans. Image Process. 27(8): 4025-4037 (2018)
Coauthor Index
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