| Weakly-supervised teacher-student network for liver tumor segmentation from non-enhanced images D Zhang, B Chen, J Chong, S Li Medical Image Analysis 70, 102005, 2021 | 39 | 2021 |
| Sequential conditional reinforcement learning for simultaneous vertebral body detection and segmentation with modeling the spine anatomy D Zhang, B Chen, S Li Medical image analysis 67, 101861, 2021 | 35 | 2021 |
| Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning C Xu, D Zhang, J Chong, B Chen, S Li Medical image analysis 69, 101976, 2021 | 31 | 2021 |
| BMAnet: Boundary mining with adversarial learning for semi-supervised 2D myocardial infarction segmentation C Xu, Y Wang, D Zhang, L Han, Y Zhang, J Chen, S Li IEEE Journal of Biomedical and Health Informatics 27 (1), 87-96, 2022 | 22 | 2022 |
| Segmentation in weakly labeled videos via a semantic ranking and optical warping network L Yang, J Han, D Zhang, N Liu, D Zhang IEEE Transactions on Image Processing 27 (8), 4025-4037, 2018 | 20 | 2018 |
| The brain tumor segmentation (brats) challenge 2023: Glioma segmentation in sub-saharan africa patient population (brats-africa) M Adewole, JD Rudie, A Gbdamosi, O Toyobo, C Raymond, D Zhang, ... ArXiv, 2023 | 15 | 2023 |
| Dual uncertainty-guided mixing consistency for semi-supervised 3d medical image segmentation C Xu, Y Yang, Z Xia, B Wang, D Zhang, Y Zhang, S Zhao IEEE Transactions on Big Data, 2023 | 12 | 2023 |
| Stroke lesion segmentation from low-quality and few-shot MRIs via similarity-weighted self-ensembling framework D Zhang, R Confidence, U Anazodo International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 12 | 2022 |
| Holistic multitask regression network for multiapplication shape regression segmentation CM Tam, D Zhang, B Chen, T Peters, S Li Medical Image Analysis 65, 101783, 2020 | 9 | 2020 |
| A deep reinforcement learning framework for frame-by-frame plaque tracking on intravascular optical coherence tomography image G Luo, S Dong, K Wang, D Zhang, Y Gao, X Chen, H Zhang, S Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 9 | 2019 |
| Applying cross-modality data processing for infarction learning in medical internet of things C Xu, Z Gao, D Zhang, J Zhang, L Xu, S Li IEEE Internet of Things Journal 8 (23), 16902-16910, 2021 | 7 | 2021 |
| Three-dimensional reconstruction method based on target recognition for binocular humanoid robot J Zhang, W Pan, H Shi, D Zhang, W Li 2016 International Conference on Progress in Informatics and Computing (PIC …, 2016 | 5 | 2016 |
| Heuristic multi-modal integration framework for liver tumor detection from multi-modal non-enhanced MRIs D Zhang, C Xu, S Li Expert Systems with Applications 221, 119782, 2023 | 4 | 2023 |
| Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning C Xu, D Zhang, Y Song, L Kayat Bittencourt, SH Tirumani, S Li International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 3 | 2022 |
| Spatiotemporal knowledge teacher–student reinforcement learning to detect liver tumors without contrast agents C Xu, Y Song, D Zhang, LK Bittencourt, SH Tirumani, S Li Medical Image Analysis 90, 102980, 2023 | 2 | 2023 |
| Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Sharan African Populations M Barakat, N Magdy, JG William, E Phiri, R Confidence, D Zhang, ... arXiv preprint arXiv:2312.11775, 2023 | 1 | 2023 |
| Deep Reinforcement Learning in Medical Object Detection and Segmentation D Zhang The University of Western Ontario (Canada), 2020 | 1 | 2020 |
| Self-supervised anatomical continuity enhancement network for 7T SWI synthesis from 3T SWI D Zhang, C Duan, U Anazodo, ZJ Wang, X Lou Medical Image Analysis, 103184, 2024 | | 2024 |
| Deep Generative Adversarial Reinforcement Learning for Semi-Supervised Segmentation of Low-Contrast and Small Objects in Medical Images C Xu, T Zhang, D Zhang, D Zhang, J Han IEEE Transactions on Medical Imaging, 2024 | | 2024 |
| Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations AR Amod, A Smith, P Joubert, C Raymond, D Zhang, UC Anazodo, ... arXiv preprint arXiv:2312.11770, 2023 | | 2023 |
