| 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 …, 2021 | 310 | 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 | 165 | 2020 |
| 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 | 106 | 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 | 100 | 2019 |
| Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data Q Chang, H Qu, Y Zhang, M Sabuncu, C Chen, T Zhang, DN Metaxas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 91 | 2020 |
| Improving nuclei/gland instance segmentation in histopathology images by full resolution neural network and spatial constrained loss H Qu, Z Yan, GM Riedlinger, S De, DN Metaxas Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 91 | 2019 |
| Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning H Qu, M Zhou, Z Yan, H Wang, VK Rustgi, S Zhang, O Gevaert, ... NPJ precision oncology 5 (1), 87, 2021 | 81 | 2021 |
| 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), 736-740, 2020 | 61 | 2020 |
| 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 | 59 | 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 | 58 | 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, 101901, 2020 | 47 | 2020 |
| CNN-based shot boundary detection and video annotation W Tong, L Song, X Yang, H Qu, R Xie 2015 IEEE international symposium on broadband multimedia systems and …, 2015 | 46 | 2015 |
| Training of computational algorithms to predict NAFLD activity score and fibrosis stage from liver histopathology slides H Qu, CD Minacapelli, C Tait, K Gupta, A Bhurwal, C Catalano, R Dafalla, ... Computer Methods and Programs in Biomedicine 207, 106153, 2021 | 27 | 2021 |
| Learn distributed gan with temporary discriminators H Qu, Y Zhang, Q Chang, Z Yan, C Chen, D Metaxas Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 26 | 2020 |
| Nuclei Segmentation Using Mixed Points and Masks Selected From Uncertainty H Qu, J Yi, Q Huang, P Wu, D Metaxas 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 973-976, 2020 | 23 | 2020 |
| Shaking video synthesis for video stabilization performance assessment H Qu, L Song, G Xue 2013 Visual Communications and Image Processing (VCIP), 1-6, 2013 | 23 | 2013 |
| Video stabilization with L1–L2 optimization H Qu, L Song 2013 IEEE International Conference on Image Processing, 29-33, 2013 | 23 | 2013 |
| Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach Y Zhang, H Qu, Q Chang, H Liu, D Metaxas, C Chen arXiv preprint arXiv:2102.04655, 2021 | 20 | 2021 |
| Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images J Yi, P Wu, H Tang, B Liu, Q Huang, H Qu, L Han, W Fan, DJ Hoeppner, ... IEEE Transactions on Medical Imaging 40 (9), 2403-2414, 2021 | 17 | 2021 |
| Taming the noisy gradient: train deep neural networks with small batch sizes Y Zhang, H Qu, C Chen, D Metaxas Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 17 | 2019 |
Dimitris N. MetaxasBoard of Governors Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
