| Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors J Yi, P Wu, B Liu, Q Huang, H Qu, D Metaxas Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2021 | 290 | 2021 |
| MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps P Wu, S Chen, D Metaxas IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 159 | 2020 |
| Learning with Feature-Dependent Label Noise: A Progressive Approach Y Zhang*, S Zheng*, P Wu*, M Goswami, C Chen ICLR 2021 (Spotlight), 2021 | 156 | 2021 |
| Weakly supervised deep nuclei segmentation using partial points annotation in histopathology images H Qu, P Wu, Q Huang, J Yi, Z Yan, K Li, GM Riedlinger, S De, S Zhang, ... IEEE transactions on medical imaging 39 (11), 3655-3666, 2020 | 154 | 2020 |
| Learning Distilled Collaboration Graph for Multi-Agent Perception Y Li, S Ren, P Wu, S Chen, C Feng, W Zhang Neural Information Processing Systems (NeurIPS), 2021 | 151 | 2021 |
| Error-bounded correction of noisy labels S Zheng, P Wu, A Goswami, M Goswami, D Metaxas, C Chen International Conference on Machine Learning (ICML), 2020 | 130 | 2020 |
| A Topological Filter for Learning with Label Noise P Wu, S Zheng, M Goswami, D Metaxas, C Chen Advances in Neural Information Processing Systems (NeurIPS) 33, 2020 | 118 | 2020 |
| Attentive Neural Cell Instance Segmentation J Yi, P Wu, M Jiang, Q Huang, DJ Hoeppner, DN Metaxas Medical Image Analysis, 2019 | 107 | 2019 |
| Weakly supervised deep nuclei segmentation using points annotation in histopathology images H Qu, P Wu, Q Huang, J Yi, GM Riedlinger, S De, DN Metaxas International Conference on Medical Imaging with Deep Learning, 390-400, 2019 | 101 | 2019 |
| MRI reconstruction via cascaded channel-wise attention network Q Huang, D Yang, P Wu, H Qu, J Yi, D Metaxas 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 93 | 2019 |
| ASSD: Attentive single shot multibox detector J Yi, P Wu, DN Metaxas Computer Vision and Image Understanding 189, 102827, 2019 | 83 | 2019 |
| Vertebra-Focused Landmark Detection for Scoliosis Assessment J Yi, P Wu, Q Huang, H Qu, DN Metaxas 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020 | 59 | 2020 |
| Generative Deep Learning Model for Inverse Design of Integrated Nanophotonic Devices Y Tang, K Kojima, T Koike‐Akino, Y Wang, P Wu, Y Xie, MH Tahersima, ... Laser & Photonics Reviews, 2000287, 2020 | 59 | 2020 |
| Optimal topological cycles and their application in cardiac trabeculae restoration P Wu, C Chen, Y Wang, S Zhang, C Yuan, Z Qian, D Metaxas, L Axel Information Processing in Medical Imaging (IPMI), 80-92, 2017 | 58 | 2017 |
| Joint segmentation and fine-grained classification of nuclei in histopathology images H Qu, G Riedlinger, P Wu, Q Huang, J Yi, S De, D Metaxas 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019 …, 2019 | 57 | 2019 |
| Multi-scale cell instance segmentation with keypoint graph based bounding boxes J Yi, P Wu, Q Huang, H Qu, B Liu, DJ Hoeppner, DN Metaxas Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 55 | 2019 |
| Dynamic MRI reconstruction with end-to-end motion-guided network Q Huang, Y Xian, D Yang, H Qu, J Yi, P Wu, DN Metaxas Medical Image Analysis 68, 101901, 2021 | 42 | 2021 |
| Active contour-based cell segmentation during freezing and its application in cryopreservation P Wu, J Yi, G Zhao, Z Huang, B Qiu, D Gao IEEE Transactions on Biomedical Engineering 62 (1), 284-295, 2014 | 37 | 2014 |
| 3D motion modeling and reconstruction of left ventricle wall in cardiac MRI D Yang, P Wu, C Tan, KM Pohl, L Axel, D Metaxas Functional Imaging and Modelling of the Heart: 9th International Conference …, 2017 | 35 | 2017 |
| Pixel-wise neural cell instance segmentation J Yi, P Wu, DJ Hoeppner, D Metaxas 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 34 | 2018 |
Dimitris N. MetaxasBoard of Governors Professor of Computer Science, Rutgers University在 cs.rutgers.edu 的电子邮件经过验证
