| COVID-MobileXpert: On-device COVID-19 patient triage and follow-up using chest X-rays X Li, C Li, D Zhu 2020 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2020 | 151* | 2020 |
| Attcat: Explaining transformers via attentive class activation tokens Y Qiang, D Pan, C Li, X Li, R Jang, D Zhu Advances in neural information processing systems 35, 5052-5064, 2022 | 49 | 2022 |
| Auto-prompting sam for mobile friendly 3d medical image segmentation C Li, P Khanduri, Y Qiang, RI Sultan, I Chetty, D Zhu arXiv preprint arXiv:2308.14936 2, 2023 | 25 | 2023 |
| Counterfactual interpolation augmentation (CIA): A unified approach to enhance fairness and explainability of DNN Y Qiang, C Li, M Brocanelli, D Zhu IJCAI 2022: Proceedings of the Thirty-First International Joint Conference …, 2022 | 18 | 2022 |
| Interpretability-aware vision transformer Y Qiang, C Li, P Khanduri, D Zhu arXiv preprint arXiv:2309.08035, 2023 | 12 | 2023 |
| GeoSAM: Fine-tuning SAM with sparse and dense visual prompting for automated segmentation of mobility infrastructure RI Sultan, C Li, H Zhu, P Khanduri, M Brocanelli, D Zhu arXiv preprint arXiv:2311.11319, 2023 | 11 | 2023 |
| FocalUNETR: A Focal Transformer for Boundary-aware Prostate Segmentation using CT Images C Li, Y Qiang, RL Sultan, H Bagher-Ebadian, P Khanduri, IJ Chetty, D Zhu MICCAI(2023) International Conference on Medical Image Computing and …, 2023 | 11* | 2023 |
| Fairness-aware vision transformer via debiased self-attention Y Qiang, C Li, P Khanduri, D Zhu European Conference on Computer Vision, 358-376, 2025 | 9 | 2025 |
| Negative Flux Aggregation to Estimate Feature Attributions X Li, D Pan, C Li, Y Qiang, D Zhu IJCAI 2023: International Joint Conference on Artificial Intelligence, 2023 | 7 | 2023 |
| Coupling User Preference with External Rewards to Enable Driver-centered and Resource-aware EV Charging Recommendation C Li, Z Dong, N Fisher, D Zhu ECML-PKDD 2022: Joint European Conference on Machine Learning and Knowledge …, 2022 | 6 | 2022 |
| A new architecture combining convolutional and transformer‐based networks for automatic 3D multi‐organ segmentation on CT images C Li, H Bagher‐Ebadian, RI Sultan, M Elshaikh, B Movsas, D Zhu, ... Medical physics 50 (11), 6990-7002, 2023 | 5 | 2023 |
| Saliency guided adversarial training for learning generalizable features with applications to medical imaging classification system X Li, Y Qiang, C Li, S Liu, D Zhu AdvML-Frontiers 2022: New Frontiers in Adversarial Machine Learning Workshop …, 2022 | 5 | 2022 |
| Putting the “mi” in omics: discovering miRNA biomarkers for pediatric precision care C Li, RE Sullivan, D Zhu, SD Hicks Pediatric research 93 (2), 316-323, 2023 | 4 | 2023 |
| MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training Chengyin Li, Hui Zhu, Rafi Ibn Sultan, Hassan Bagher Ebadian, Prashant ... https://arxiv.org/abs/2411.15576, 2024 | | 2024 |
| Evaluation of The Segment Anything Model (SAM) for Brain Tumor Segmentation ZK Mohammad Peivandi, Jason Zhang, Michael Lu, Chengyin Li, Dongxiao Zhu ISBI 2024, IEEE International Symposium on Biomedical Imaging, 2024 | | 2024 |
| On the Implementation and Evaluation of Loss Functions for Robust Multiple Anatomy Segmentation on CT Images C Li, R Ibn Sultan, H Bagher-Ebadian, Y Qiang, K Thind, D Zhu, I Chetty ICCR 2024, International Conference on the use of Computers in Radiation therapy, 2024 | | 2024 |
| Novel Transformer Architectures for 3D Multi-Modal and Multi-Organ Medical Image Segmentation C Li Wayne State University, 2024 | | 2024 |
| FedDRO: Federated Compositional Optimization for Distributionally Robust Learning P Khanduri, C Li, RI Sultan, Y Qiang, J Kliewer, D Zhu arXiv preprint arXiv:2311.12652, 2023 | | 2023 |
| Proximal Composite Optimization for Distributionally Robust Learning P Khanduri, C Li, RI Sultan, Y Qiang, J Kliewer, D Zhu AdvML-Frontiers 2023: New Frontiers in Adversarial Machine Learning Workshop …, 2023 | | 2023 |
| A New Architecture Combining Convolutional and Transformer-Based Networks for Automatic 3D Segmentation of Pelvic Anatomy on CT Images C Li, H Bagher-Ebadian, RI Sultan, D Zhu, IJ Chetty AAPM(2023) American Association of Physicists in Medicine, 2023 | | 2023 |
Dongxiao ZhuProfessor of Computer Science, Wayne State UniversityVerified email at wayne.edu
