A novel classification method for paper-reviewer recommendation. - Shu Zhao; Dong Zhang 009; Zhen Duan; Jie Chen 025; Yan-ping Zhang 001; Jie Tang 001 (Scientometrics, 2018)

Segmentation in Weakly Labeled Videos via a Semantic Ranking and Optical Warping Network. - Le Yang 008; Junwei Han 001; Dingwen Zhang; Nian Liu; Dong Zhang 009 (IEEE Trans. Image Process., 2018)

A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image. - Gongning Luo; Suyu Dong; Kuanquan Wang; Dong Zhang 009; Yue Gao 002; Xin Chen 025; Henggui Zhang; Shuo Li 001 (MICCAI (1), 2019)

A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation. - Dong Zhang 009; Shu Zhao; Zhen Duan; Jie Chen 025; Yangping Zhang; Jie Tang 001 (CoRR, 2019)

Holistic multitask regression network for multiapplication shape regression segmentation. - Clara M. Tam; Dong Zhang 009; Bo Chen 013; Terry M. Peters; Shuo Li 001 (Medical Image Anal., 2020)

A Multi-Label Classification Method Using a Hierarchical and Transparent Representation for Paper-Reviewer Recommendation. - Dong Zhang 009; Shu Zhao; Zhen Duan; Jie Chen 025; Yanping Zhang 001; Jie Tang 001 (ACM Trans. Inf. Syst., 2020)

Applying Cross-Modality Data Processing for Infarction Learning in Medical Internet of Things. - Chenchu Xu; Zhifan Gao; Dong Zhang 009; Jinglin Zhang; Lei Xu 037; Shuo Li 001 (IEEE Internet Things J., 2021)

Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images. - Dong Zhang 009; Bo Chen 013; Jaron Chong; Shuo Li 001 (Medical Image Anal., 2021)

Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning. - Chenchu Xu; Dong Zhang 009; Jaron Chong; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2021)

Sequential conditional reinforcement learning for simultaneous vertebral body detection and segmentation with modeling the spine anatomy. - Dong Zhang 009; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2021)

Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning. - Chenchu Xu; Dong Zhang 009; Yuhui Song; Leonardo Kayat Bittencourt; Sree Harsha Tirumani; Shuo Li 001 (MICCAI (5), 2022)

Stroke Lesion Segmentation from Low-Quality and Few-Shot MRIs via Similarity-Weighted Self-ensembling Framework. - Dong Zhang 009; Raymond Confidence; Udunna Anazodo (MICCAI (5), 2022)

Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations. - Alyssa R. Amod; Alexandra Smith; Pearly Joubert; Raymond Confidence; Dong Zhang 009; Udunna C. Anazodo; Dodzi Motchon; Tinashe E. M. Mutsvangwa; Sébastien Quetin (BraTS/CrossMoDA@MICCAI, 2023)

Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Saharan African Populations. - Mohannad Barakat; Noha Magdy; Jjuuko George William; Ethel Phiri; Raymond Confidence; Dong Zhang 009; Udunna C. Anazodo (BraTS/CrossMoDA@MICCAI, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). - Maruf Adewole; Jeffrey D. Rudie; Anu Gbadamosi; Oluyemisi Toyobo; Raymond Confidence; Dong Zhang 009; Olubukola Omidiji; Rachel Akinola; Mohammad Abba Suwaid; Adaobi Emegoakor; Nancy Ojo; Kenneth Aguh; et al. (CoRR, 2023)

Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Sharan African Populations. - Mohannad Barakat; Noha Magdy; Jjuuko George William; Ethel Phiri; Raymond Confidence; Dong Zhang 009; Udunna C. Anazodo (CoRR, 2023)

BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation. - Chenchu Xu; Yifei Wang; Dong Zhang 009; Longfei Han; Yanping Zhang 001; Jie Chen 025; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2023)

Heuristic multi-modal integration framework for liver tumor detection from multi-modal non-enhanced MRIs. - Dong Zhang 009; Chenchu Xu; Shuo Li 001 (Expert Syst. Appl., 2023)

Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation. - Chenchu Xu; Yuan Yang; Zhiqiang Xia; Boyan Wang; Dong Zhang 009; Yanping Zhang 001; Shu Zhao (IEEE Trans. Big Data, 2023)

Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents. - Chenchu Xu; Yuhong Song; Dong Zhang 009; Leonardo Kayat Bittencourt; Sree Harsha Tirumani; Shuo Li 001 (Medical Image Anal., 2023)

Automatic Medical Report Generation: Methods and Applications. - Li Guo; Anas M. Tahir; Dong Zhang 009; Z. Jane Wang 001; Rabab K. Ward (CoRR, 2024)

Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset. - Bijay Adhikari; Pratibha Kulung; Jakesh Bohaju; Laxmi Poudel; Raymond Confidence; Dong Zhang 009; Udunna C. Anazodo; Bishesh Khanal; Mahesh Shakya (CoRR, 2024)

Self-supervised anatomical continuity enhancement network for 7T SWI synthesis from 3T SWI. - Dong Zhang 009; Caohui Duan; Udunna Anazodo; Z. Jane Wang 001; Xin Lou (Medical Image Anal., 2024)

Deep Generative Adversarial Reinforcement Learning for Semi-Supervised Segmentation of Low-Contrast and Small Objects in Medical Images. - Chenchu Xu; Tong Zhang; Dong Zhang 009; Dingwen Zhang; Junwei Han 001 (IEEE Trans. Medical Imaging, 2024)

Hierarchical candidate recursive network for highlight restoration in endoscopic videos. - Chenchu Xu; Jiangnan Wu; Dong Zhang 009; Longfei Han; Dingwen Zhang; Junwei Han 001 (Expert Syst. Appl., 2025)

Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa. - Rancy Chepchirchir; Jill Sunday; Raymond Confidence; Dong Zhang 009; Talha Chaudhry; Udunna C. Anazodo; Kendi Muchungi; Yujing Zou (CoRR, 2025)

Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings. - Jeremiah Fadugba; Isabel Lieberman; Olabode Ajayi; Mansour Osman; Solomon Oluwole Akinola; Tinashe E. M. Mutsvangwa; Dong Zhang 009; Udunna C. Anazodo; Raymond Confidence (CoRR, 2025)