| A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark Y Gao, M Zhou, D Liu, D Metaxas arXiv preprint arXiv:2203.00131, 2022 | 62* | 2022 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 23 | 2022 |
| Transfusion: multi-view divergent fusion for medical image segmentation with transformers D Liu, Y Gao, Q Zhangli, L Han, X He, Z Xia, S Wen, Q Chang, Z Yan, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 23 | 2022 |
| Dispersion correction for optical coherence tomography by the stepped detection algorithm in the fractional Fourier domain D Liu, C Ge, Y Xin, Q Li, R Tao Optics express 28 (5), 5919-5935, 2020 | 20 | 2020 |
| Proxedit: Improving tuning-free real image editing with proximal guidance L Han, S Wen, Q Chen, Z Zhang, K Song, M Ren, R Gao, A Stathopoulos, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 19* | 2024 |
| Deep learning segmentation of the right ventricle in cardiac mri: The m&ms challenge C Martín-Isla, VM Campello, C Izquierdo, K Kushibar, C Sendra-Balcells, ... IEEE Journal of Biomedical and Health Informatics 27 (7), 3302-3313, 2023 | 17 | 2023 |
| Refined deep layer aggregation for multi-disease, multi-view & multi-center cardiac MR segmentation D Liu, Z Yan, Q Chang, L Axel, DN Metaxas International Workshop on Statistical Atlases and Computational Models of …, 2021 | 12 | 2021 |
| Deeprecon: Joint 2d cardiac segmentation and 3d volume reconstruction via a structure-specific generative method Q Chang, Z Yan, M Zhou, D Liu, K Sawalha, M Ye, Q Zhangli, M Kanski, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 10 | 2022 |
| Region proposal rectification towards robust instance segmentation of biological images Q Zhangli, J Yi, D Liu, X He, Z Xia, Q Chang, L Han, Y Gao, S Wen, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 10 | 2022 |
| Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning Y Gao, Z Li, D Liu, M Zhou, S Zhang, DN Metaxas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| Label super resolution for 3d magnetic resonance images using deformable u-net D Liu, J Liu, Y Liu, R Tao, JL Prince, A Carass Medical Imaging 2021: Image Processing 11596, 606-611, 2021 | 9 | 2021 |
| Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation X He, C Tan, B Liu, L Si, W Yao, L Zhao, D Liu, Q Zhangli, Q Chang, K Li, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023 | 7 | 2023 |
| Dispersion correction for optical coherence tomography by parameter estimation in fractional fourier domain D Liu, Y Xin, Q Li, R Tao 2019 IEEE International Conference on Mechatronics and Automation (ICMA …, 2019 | 7 | 2019 |
| Steering Prototypes With Prompt-Tuning for Rehearsal-Free Continual Learning Z Li, L Zhao, Z Zhang, H Zhang, D Liu, T Liu, DN Metaxas Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 6 | 2024 |
| Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency D Liu, L Zhao, Q Zhangli, Y Gao, T Liu, DN Metaxas arXiv preprint arXiv:2309.01035, 2023 | 4* | 2023 |
| Automated recognition of arrhythmia using deep neural networks for 12-lead electrocardiograms with fractional time–frequency domain extension C Ge, D Liu, J Liu, B Liu, Y Xin Journal of Medical Imaging and Health Informatics 10 (11), 2764-2767, 2020 | 4 | 2020 |
| LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction D Liu, Q Zhangli, Y Gao, DN Metaxas Advances in Neural Information Processing Systems (NeurIPS), 2023, 2023 | 3 | 2023 |
| DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image D Liu, X Yu, M Ye, Q Zhangli, Z Li, Z Zhang, DN Metaxas Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting S Wen, H Wang, D Liu, Q Zhangli, D Metaxas Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Layout-Agnostic Scene Text Image Synthesis with Diffusion Models Q Zhangli, J Jiang, D Liu, L Yu, X Dai, A Ramchandani, G Pang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Dimitris N. MetaxasDistinguished Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
