Dong Zhang

51 papers A* 1B 1Journal 36Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
A segment anything model for transesophageal echocardiography based on bidirectional spatiotemporal context fusion.
Inf. Fusion
Minghao Wang, Shaoyi Du, Juan Wang, Hongcheng Han, Huanhuan Huo, Dong Zhang, Shanshan Yu, Jue Jiang
2026 J jnl
Lightweight image super-resolution network with dynamic expert selection and adaptive local feature enhancement.
J. Electronic Imaging
Minghao Wang, Longteng Hou, Dong Zhang, Yuying Liu, Mengjiao Liu, Meiqin Liu, Shaoyi Du
2026 A* conf
MMRAG-RFT: Two-stage Reinforcement Fine-tuning for Explainable Multi-modal Retrieval-augmented Generation.
AAAI
Shengwei Zhao, Jingwen Yao, Sitong Wei, Linhai Xu, Yuying Liu, Dong Zhang, Zhiqiang Tian, Shaoyi Du
2026 J jnl
Topology-aware multi-view hypergraph computation-based cross-modal brain network fusion for brain disease diagnosis.
Inf. Fusion
Jingxi Feng, Shaoyi Du, Heming Xu, Rundong Xue, Xiangmin Han, Dong Zhang, Jue Jiang, Yue Gao, Juan Wang
2026 J jnl
Training Beyond Convergence: Grokking nnU-Net for Glioma Segmentation in Sub-Saharan MRI.
CoRR
Mohtady Barakat, Omar Salah, Ahmed Yasser, Mostafa Ahmed, Zahirul Arief, Waleed Khan, Dong Zhang, Aondona M. Iorumbur, Raymond Confidence, Mohannad Barakat, Noha Magdy
2025 — conf
A Self-Supervised Framework for Glioma Segmentation Using Swin UNETR.
BraTS-Lighthouse/AIMS-TBI@MICCAI (1)
Lesly Tsoptio Fougang, Joseph Muthui Wacira, Amal Jlassi, Dong Zhang, Aondona Iorumbur, Raymond Confidence
2025 — conf
Cross-Modal Brain Graph Transformer via Function-Structure Connectivity Network for Brain Disease Diagnosis.
MICCAI (12)
Jingxi Feng, Heming Xu, Junhao Cai, Yujie Chang, Dong Zhang, Shaoyi Du, Juan Wang
2025 J jnl
Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings.
CoRR
Jeremiah Fadugba, Isabel Lieberman, Olabode Ajayi, Mansour Osman, Solomon Oluwole Akinola, Tinashe E. M. Mutsvangwa, Dong Zhang, Udunna C. Anazodo, Raymond Confidence
2025 J jnl
Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa.
CoRR
Rancy Chepchirchir, Jill Sunday, Raymond Confidence, Dong Zhang, Talha Chaudhry, Udunna C. Anazodo, Kendi Muchungi, Yujing Zou
2025 J jnl
Hierarchical candidate recursive network for highlight restoration in endoscopic videos.
Expert Syst. Appl.
Chenchu Xu, Jiangnan Wu, Dong Zhang, Longfei Han, Dingwen Zhang, Junwei Han
2025 — conf
LiMSA-UNet: A Lightweight Modality-Selective Attention ResUNet for Brain-Tumor Segmentation.
BraTS-Lighthouse/AIMS-TBI@MICCAI (1)
Freedmore Sidume, Nkuebe Clement Moleko, Botsile Gorata Masalela, Preference Mangwayana, Lame Kaisara, Refilwe Goitsemang, Topo Lefika Rapula, Dong Zhang, Aondona M. Iorumbur, Raymond Confidence
2025 J jnl
MMRAG-RFT: Two-stage Reinforcement Fine-tuning for Explainable Multi-modal Retrieval-augmented Generation.
CoRR
Shengwei Zhao, Jingwen Yao, Sitong Wei, Linhai Xu, Yuying Liu, Dong Zhang, Zhiqiang Tian, Shaoyi Du
2025 — conf
Reassessing Glioma Segmentation Strategies: nnU-Net as a Strong Baseline on Limited Sub-Saharan MRI Data.
BraTS-Lighthouse/AIMS-TBI@MICCAI (1)
Uwimana Lowami, Andrew Blayama Stephen, Raymond Confidence, Dong Zhang, Maruf Adewole, Udunna C. Anazodo, Mehmet Kurt, Damilare Olatunji, Bernes Lorier Atabonfack
2025 J jnl
Resource-Efficient Glioma Segmentation on Sub-Saharan MRI.
CoRR
Freedmore Sidume, Oumayma Soula, Joseph Muthui Wacira, YunFei Zhu, Abbas Rabiu Muhammad, Abderrazek Zeraii, Oluwaseun Kalejaye, Hajer Ibrahim, Olfa Gaddour, Brian Halubanza, Dong Zhang, Udunna C. Anazodo, Raymond Confidence
2025 — conf
Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-saharan Africa Dataset.
BraTS-Lighthouse/AIMS-TBI@MICCAI (1)
Prabin Bohara, Pralhad Kumar Shrestha, Arpan Rai, Usha Poudel Lamgade, Raymond Confidence, Dong Zhang, Aondona M. Iorumbur, Craig Jones, Mahesh Shakya, Bishesh Khanal, Pratibha Kulung
2025 — conf
Training Beyond Convergence: Grokking nnU-Net for Glioma Segmentation in Sub-Saharan MRI.
BraTS-Lighthouse/AIMS-TBI@MICCAI (1)
Mohtady Barakat, Omar Salah, Ahmed Yasser, Mostafa Ahmed, Zahirul Arief, Waleed Khan, Dong Zhang, Aondona Iorumbur, Raymond Confidence, Mohannad Barakat, Noha Magdy
2024 J jnl
Automatic Medical Report Generation: Methods and Applications.
CoRR
Li Guo, Anas M. Tahir, Dong Zhang, Z. Jane Wang, Rabab K. Ward
2024 J jnl
Deep Generative Adversarial Reinforcement Learning for Semi-Supervised Segmentation of Low-Contrast and Small Objects in Medical Images.
IEEE Trans. Medical Imaging
Chenchu Xu, Tong Zhang, Dong Zhang, Dingwen Zhang, Junwei Han
2024 J jnl
Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset.
CoRR
Bijay Adhikari, Pratibha Kulung, Jakesh Bohaju, Laxmi Poudel, Raymond Confidence, Dong Zhang, Udunna C. Anazodo, Bishesh Khanal, Mahesh Shakya
2024 J jnl
Self-supervised anatomical continuity enhancement network for 7T SWI synthesis from 3T SWI.
Medical Image Anal.
Dong Zhang, Caohui Duan, Udunna Anazodo, Z. Jane Wang, Xin Lou
2023 J jnl
An Uncertainty-Aware and Sex-Prior Guided Biological Age Estimation From Orthopantomogram Images.
IEEE J. Biomed. Health Informatics
Dong Zhang, Jing Yang, Shaoyi Du, Wenqing Bu, Yu-Cheng Guo
2023 J jnl
BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation.
IEEE J. Biomed. Health Informatics
Chenchu Xu, Yifei Wang, Dong Zhang, Longfei Han, Yanping Zhang, Jie Chen, Shuo Li
2023 — conf
Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations.
BraTS/CrossMoDA@MICCAI
Alyssa R. Amod, Alexandra Smith, Pearly Joubert, Raymond Confidence, Dong Zhang, Udunna C. Anazodo, Dodzi Motchon, Tinashe E. M. Mutsvangwa, Sébastien Quetin
2023 J jnl
Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations.
CoRR
Alyssa R. Amod, Alexandra Smith, Pearly Joubert, Raymond Confidence, Dong Zhang, Udunna C. Anazodo, Dodzi Motchon, Tinashe E. M. Mutsvangwa, Sébastien Quetin
2023 J jnl
Coarse-to-fine feature representation based on deformable partition attention for melanoma identification.
Pattern Recognit.
Dong Zhang, Jing Yang, Shaoyi Du, Hongcheng Han, Yuyan Ge, Longfei Zhu, Ce Li, Meifeng Xu, Nanning Zheng
2023 B conf
Color-Difference Correntropy Guided Convolution Network for Point Cloud Semantic Segmentation.
IJCNN
Zhou Jiang, Jing Yang, Chunyu Xuan, Dong Zhang, Shaoyi Du
2023 J jnl
Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation.
IEEE Trans. Big Data
Chenchu Xu, Yuan Yang, Zhiqiang Xia, Boyan Wang, Dong Zhang, Yanping Zhang, Shu Zhao
2023 — conf
GSA-Gaze: Generative Self-adversarial Learning for Domain Generalized Driver Gaze Estimation.
ITSC
Hongcheng Han, Zhiqiang Tian, Yuying Liu, Shengpeng Li, Dong Zhang, Shaoyi Du
2023 J jnl
Heuristic multi-modal integration framework for liver tumor detection from multi-modal non-enhanced MRIs.
Expert Syst. Appl.
Dong Zhang, Chenchu Xu, Shuo Li
2023 — conf
PointHGSA: Efficient Point Cloud Understanding with Hypergraph-Based Self-Attention Network.
ITSC
Zhou Jiang, Jing Yang, Jie Li, Dong Zhang, Shaoyi Du
2023 J jnl
Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents.
Medical Image Anal.
Chenchu Xu, Yuhong Song, Dong Zhang, Leonardo Kayat Bittencourt, Sree Harsha Tirumani, Shuo Li
2023 J jnl
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).
CoRR
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
2023 — conf
Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Saharan African Populations.
BraTS/CrossMoDA@MICCAI
Mohannad Barakat, Noha Magdy, Jjuuko George William, Ethel Phiri, Raymond Confidence, Dong Zhang, Udunna C. Anazodo
2023 J jnl
Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Sharan African Populations.
CoRR
Mohannad Barakat, Noha Magdy, Jjuuko George William, Ethel Phiri, Raymond Confidence, Dong Zhang, Udunna C. Anazodo
2022 — conf
Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning.
MICCAI (5)
Chenchu Xu, Dong Zhang, Yuhui Song, Leonardo Kayat Bittencourt, Sree Harsha Tirumani, Shuo Li
2022 J jnl
Region-aware network: Model human's Top-Down visual perception mechanism for crowd counting.
Neural Networks
Yuehai Chen, Jing Yang, Dong Zhang, Kun Zhang, Badong Chen, Shaoyi Du
2022 — conf
Stroke Lesion Segmentation from Low-Quality and Few-Shot MRIs via Similarity-Weighted Self-ensembling Framework.
MICCAI (5)
Dong Zhang, Raymond Confidence, Udunna Anazodo
2021 J jnl
Applying Cross-Modality Data Processing for Infarction Learning in Medical Internet of Things.
IEEE Internet Things J.
Chenchu Xu, Zhifan Gao, Dong Zhang, Jinglin Zhang, Lei Xu, Shuo Li
2021 J jnl
Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting.
CoRR
Yuehai Chen, Jing Yang, Dong Zhang, Kun Zhang, Badong Chen, Shaoyi Du
2021 J jnl
Sequential conditional reinforcement learning for simultaneous vertebral body detection and segmentation with modeling the spine anatomy.
Medical Image Anal.
Dong Zhang, Bo Chen, Shuo Li
2021 J jnl
Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning.
Medical Image Anal.
Chenchu Xu, Dong Zhang, Jaron Chong, Bo Chen, Shuo Li
2021 J jnl
Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images.
Medical Image Anal.
Dong Zhang, Bo Chen, Jaron Chong, Shuo Li
2020 J jnl
A Multi-Label Classification Method Using a Hierarchical and Transparent Representation for Paper-Reviewer Recommendation.
ACM Trans. Inf. Syst.
Dong Zhang, Shu Zhao, Zhen Duan, Jie Chen, Yanping Zhang, Jie Tang
2020 J jnl
Deformation and Refined Features Based Lesion Detection on Chest X-Ray.
IEEE Access
Ce Li, Dong Zhang, Shaoyi Du, Zhiqiang Tian
2020 J jnl
Enhanced image no-reference quality assessment based on colour space distribution.
IET Image Process.
Hao Liu, Ce Li, Dong Zhang, Yannan Zhou, Shaoyi Du
2020 J jnl
Holistic multitask regression network for multiapplication shape regression segmentation.
Medical Image Anal.
Clara M. Tam, Dong Zhang, Bo Chen, Terry M. Peters, Shuo Li
2020 J jnl
Predicting COVID-19 in China Using Hybrid AI Model.
IEEE Trans. Cybern.
Nanning Zheng, Shaoyi Du, Jianji Wang, He Zhang, Wenting Cui, Zijian Kang, Tao Yang, Bin Lou, Yuting Chi, Hong Long, Mei Ma, Qi Yuan, Shupei Zhang, Dong Zhang, Feng Ye, Jingmin Xin
2019 — conf
A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image.
MICCAI (1)
Gongning Luo, Suyu Dong, Kuanquan Wang, Dong Zhang, Yue Gao, Xin Chen, Henggui Zhang, Shuo Li
2019 J jnl
A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation.
CoRR
Dong Zhang, Shu Zhao, Zhen Duan, Jie Chen, Yangping Zhang, Jie Tang
2018 J jnl
A novel classification method for paper-reviewer recommendation.
Scientometrics
Shu Zhao, Dong Zhang, Zhen Duan, Jie Chen, Yan-ping Zhang, Jie Tang
2018 J jnl
Segmentation in Weakly Labeled Videos via a Semantic Ranking and Optical Warping Network.
IEEE Trans. Image Process.
Le Yang, Junwei Han, Dingwen Zhang, Nian Liu, Dong Zhang