| Multi-instance deep learning: Discover discriminative local anatomies for bodypart recognition Z Yan, Y Zhan, Z Peng, S Liao, Y Shinagawa, S Zhang, DN Metaxas, ... IEEE transactions on medical imaging 35 (5), 1332-1343, 2016 | 241 | 2016 |
| Automated anatomical landmark detection ondistal femur surface using convolutional neural network D Yang, S Zhang, Z Yan, C Tan, K Li, D Metaxas 2015 IEEE 12th international symposium on biomedical imaging (ISBI), 17-21, 2015 | 102 | 2015 |
| 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 | 86 | 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 | 60* | 2019 |
| Bodypart recognition using multi-stage deep learning Z Yan, Y Zhan, Z Peng, S Liao, Y Shinagawa, DN Metaxas, XS Zhou Information Processing in Medical Imaging: 24th International Conference …, 2015 | 51 | 2015 |
| Is interactional dissynchrony a clue to deception? insights from automated analysis of nonverbal visual cues X Yu, S Zhang, Z Yan, F Yang, J Huang, NE Dunbar, ML Jensen, ... Cybernetics, IEEE Transactions on 45 (3), 492-506, 2015 | 43 | 2015 |
| Deep multi-task and task-specific feature learning network for robust shape preserved organ segmentation C Tan, L Zhao, Z Yan, K Li, D Metaxas, Y Zhan 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 31 | 2018 |
| Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials Z Yan, S Zhang, C Tan, H Qin, B Belaroussi, HJ Yu, C Miller, DN Metaxas Computerized Medical Imaging and Graphics 41, 80-92, 2015 | 31 | 2015 |
| Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT J Zhou, Z Yan, G Lasio, J Huang, B Zhang, N Sharma, K Prado, ... Computerized Medical Imaging and Graphics 46, 47-55, 2015 | 26 | 2015 |
| 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 | 24 | 2021 |
| Automatic medical image retrieval Z Yan, Y Zhan, S Liao, Y Shinagawa, XS Zhou, M Wolf US Patent 10,304,198, 2019 | 23 | 2019 |
| Few-shot learning by a cascaded framework with shape-constrained pseudo label assessment for whole heart segmentation W Wang, Q Xia, Z Hu, Z Yan, Z Li, Y Wu, N Huang, Y Gao, D Metaxas, ... IEEE Transactions on Medical Imaging 40 (10), 2629-2641, 2021 | 21 | 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 | 20 | 2021 |
| Accurate segmentation of brain images into 34 structures combining a non-stationary adaptive statistical atlas and a multi-atlas with applications to Alzheimer'S disease Z Yan, S Zhang, X Liu, DN Metaxas, A Montillo 2013 IEEE 10th International Symposium on Biomedical Imaging, 1202-1205, 2013 | 17 | 2013 |
| Soft tissue deformation simulation in virtual surgery using nonlinear finite element method Z Yan, L Gu, P Huang, S Lv, X Yu, X Kong 2007 29th Annual International Conference of the IEEE Engineering in …, 2007 | 17 | 2007 |
| Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning Y Qu, X Li, Z Yan, L Zhao, L Zhang, C Liu, S Xie, K Li, D Metaxas, W Wu, ... Medical Image Analysis 69, 101954, 2021 | 15 | 2021 |
| How intelligent are convolutional neural networks? Z Yan, XS Zhou arXiv preprint arXiv:1709.06126, 2017 | 15 | 2017 |
| Multi-instance multi-stage deep learning for medical image recognition Z Yan, Y Zhan, S Zhang, D Metaxas, XS Zhou Deep Learning for Medical Image Analysis, 83-104, 2017 | 15 | 2017 |
| A deep-learning based automatic pulmonary nodule detection system Y Zhao, L Zhao, Z Yan, M Wolf, Y Zhan Medical Imaging 2018: Computer-Aided Diagnosis 10575, 713-719, 2018 | 14 | 2018 |
| An automated and robust framework for quantification of muscle and fat in the thigh C Tan, Z Yan, S Zhang, B Belaroussi, HJ Yu, C Miller, DN Metaxas 2014 22nd International Conference on Pattern Recognition, 3173-3178, 2014 | 14 | 2014 |
Dimitris N. MetaxasDistinguished Professor of Computer Science, Rutgers UniversityVerified email at cs.rutgers.edu
