| 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 |
| Fairness-aware explainable recommendation over knowledge graphs Z Fu, Y Xian, R Gao, J Zhao, Q Huang, Y Ge, S Xu, S Geng, C Shah, ... Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 242 | 2020 |
| 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 |
| Attentive neural cell instance segmentation J Yi, P Wu, M Jiang, Q Huang, DJ Hoeppner, DN Metaxas Medical image analysis 55, 228-240, 2019 | 115 | 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 | 106 | 2019 |
| CAFE: Coarse-to-fine neural symbolic reasoning for explainable recommendation Y Xian, Z Fu, H Zhao, Y Ge, X Chen, Q Huang, S Geng, Z Qin, G De Melo, ... Proceedings of the 29th ACM International Conference on Information …, 2020 | 103 | 2020 |
| 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 |
| 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 68, 101901, 2021 | 47 | 2021 |
| Deeptag: An unsupervised deep learning method for motion tracking on cardiac tagging magnetic resonance images M Ye, M Kanski, D Yang, Q Chang, Z Yan, Q Huang, L Axel, D Metaxas Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 40 | 2021 |
| Prediction of protein–protein interactions with clustered amino acids and weighted sparse representation Q Huang, Z You, X Zhang, Y Zhou International journal of molecular sciences 16 (5), 10855-10869, 2015 | 29 | 2015 |
| FR-Net: Joint reconstruction and segmentation in compressed sensing cardiac MRI Q Huang, D Yang, J Yi, L Axel, D Metaxas Functional Imaging and Modeling of the Heart: 10th International Conference …, 2019 | 28 | 2019 |
| Multi-component deformable models coupled with 2D-3D U-Net for automated probabilistic segmentation of cardiac walls and blood D Yang, Q Huang, L Axel, D Metaxas 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 25 | 2018 |
| 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 |
| Brain Segmentation from k-Space with End-to-End Recurrent Attention Network Q Huang, X Chen, D Metaxas, MS Nadar Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 20 | 2019 |
| PC-U net: Learning to jointly reconstruct and segment the cardiac walls in 3D from CT data M Ye, Q Huang, D Yang, P Wu, J Yi, L Axel, D Metaxas Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 19 | 2021 |
| Neural-symbolic reasoning over knowledge graph for multi-stage explainable recommendation Y Xian, Z Fu, Q Huang, S Muthukrishnan, Y Zhang arXiv preprint arXiv:2007.13207, 2020 | 19 | 2020 |
| Medical image segmentation from raw data using a deep attention neural network Q Huang, X Chen, MS Nadar, B Mailhe US Patent 10,922,816, 2021 | 18 | 2021 |
Dimitris N. MetaxasBoard of Governors Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
