Dong Zhang
Orcid: 0000-0002-2948-1384Affiliations:
- Western University, London, ON, Canada
According to our database1,
Dong Zhang authored at least 47 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
Lightweight image super-resolution network with dynamic expert selection and adaptive local feature enhancement.
J. Electronic Imaging, 2026
A segment anything model for transesophageal echocardiography based on bidirectional spatiotemporal context fusion.
Inf. Fusion, 2026
Topology-aware multi-view hypergraph computation-based cross-modal brain network fusion for brain disease diagnosis.
Inf. Fusion, 2026
MMRAG-RFT: Two-stage Reinforcement Fine-tuning for Explainable Multi-modal Retrieval-augmented Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings.
CoRR, February, 2025
Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa.
CoRR, January, 2025
Hierarchical candidate recursive network for highlight restoration in endoscopic videos.
Expert Syst. Appl., 2025
LiMSA-UNet: A Lightweight Modality-Selective Attention ResUNet for Brain-Tumor Segmentation.
Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025
Reassessing Glioma Segmentation Strategies: nnU-Net as a Strong Baseline on Limited Sub-Saharan MRI Data.
Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025
Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025
Cross-Modal Brain Graph Transformer via Function-Structure Connectivity Network for Brain Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-saharan Africa Dataset.
Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025
Training Beyond Convergence: Grokking nnU-Net for Glioma Segmentation in Sub-Saharan MRI.
Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025
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
Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset.
CoRR, 2024
2023
Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents.
Medical Image Anal., December, 2023
An Uncertainty-Aware and Sex-Prior Guided Biological Age Estimation From Orthopantomogram Images.
IEEE J. Biomed. Health Informatics, October, 2023
Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation.
IEEE Trans. Big Data, August, 2023
Heuristic multi-modal integration framework for liver tumor detection from multi-modal non-enhanced MRIs.
Expert Syst. Appl., July, 2023
Coarse-to-fine feature representation based on deformable partition attention for melanoma identification.
Pattern Recognit., April, 2023
BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation.
IEEE J. Biomed. Health Informatics, 2023
Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Sharan African Populations.
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).
CoRR, 2023
Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Saharan African Populations.
Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023
Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations.
Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023
PointHGSA: Efficient Point Cloud Understanding with Hypergraph-Based Self-Attention Network.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
GSA-Gaze: Generative Self-adversarial Learning for Domain Generalized Driver Gaze Estimation.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
Color-Difference Correntropy Guided Convolution Network for Point Cloud Semantic Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Region-aware network: Model human's Top-Down visual perception mechanism for crowd counting.
Neural Networks, 2022
Stroke Lesion Segmentation from Low-Quality and Few-Shot MRIs via Similarity-Weighted Self-ensembling Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 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
2020
A Multi-Label Classification Method Using a Hierarchical and Transparent Representation for Paper-Reviewer Recommendation.
ACM Trans. Inf. Syst., 2020
Holistic multitask regression network for multiapplication shape regression segmentation.
Medical Image Anal., 2020
IET Image Process., 2020
IEEE Access, 2020
2019
A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation.
CoRR, 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
Segmentation in Weakly Labeled Videos via a Semantic Ranking and Optical Warping Network.
IEEE Trans. Image Process., 2018
Scientometrics, 2018