| 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 | 164 | 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 | 61 | 2015 |
| Bodypart recognition using multi-stage deep learning Z Yan, Y Zhan, Z Peng, S Liao, Y Shinagawa, DN Metaxas, XS Zhou International conference on information processing in medical imaging, 449-461, 2015 | 40 | 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 | 34 | 2015 |
| 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 | 21 | 2015 |
| 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 International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 19 | 2019 |
| 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 | 18 | 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 | 16 | 2018 |
| 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 | 16 | 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 | 16 | 2007 |
| Virtual surgery deformable modelling employing GPU based computation P Huang, L Gu, J Zhang, X Yu, S Lv, Z Yan, L Zhang, H Zhou, X Du 17th International Conference on Artificial Reality and Telexistence (ICAT …, 2007 | 14 | 2007 |
| 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, 1057537, 2018 | 9 | 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 | 8 | 2014 |
| Simulation of organ deformation using boundary element method and meshless shape matching B Zhu, L Gu, J Zhang, Z Yan, L Pan, Q Zhao 2008 30th Annual International Conference of the IEEE Engineering in …, 2008 | 8 | 2008 |
| Towards MR-only radiotherapy treatment planning: synthetic CT generation using multi-view deep convolutional neural networks Y Zhao, S Liao, Y Guo, L Zhao, Z Yan, S Hong, G Hermosillo, T Liu, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 7 | 2018 |
| How intelligent are convolutional neural networks? Z Yan, XS Zhou arXiv preprint arXiv:1709.06126, 2017 | 7 | 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 | 7 | 2017 |
| Accurate thigh inter-muscular adipose quantification using a data-driven and sparsity-constrained deformable model C Tan, Z Yan, D Yang, K Li, HJ Yu, K Engelke, C Miller, D Metaxas 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1130-1134, 2015 | 7 | 2015 |
| Modulus reconstruction from prostate ultrasound images using finite element modeling Z Yan, S Zhang, SK Alam, DN Metaxas, BS Garra, EJ Feleppa Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy 8320, 832016, 2012 | 7 | 2012 |
| Accurate Whole-Brain Segmentation for Alzheimer’s Disease Combining an Adaptive Statistical Atlas and Multi-atlas Z Yan, S Zhang, X Liu, DN Metaxas, A Montillo International MICCAI Workshop on Medical Computer Vision, 65-73, 2013 | 6 | 2013 |
Dimitris N. MetaxasDistinguished Professor of Computer Science, Rutgers UniversityGeverifieerd e-mailadres voor cs.rutgers.edu
