| 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 | 287 | 2016 |
| 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 | 187* | 2020 |
| 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 | 139 | 2015 |
| A data-scalable transformer for medical image segmentation: architecture, model efficiency, and benchmark Y Gao, M Zhou, D Liu, Z Yan, S Zhang, DN Metaxas arXiv preprint arXiv:2203.00131, 2022 | 135 | 2022 |
| 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 | 104* | 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 | 97 | 2021 |
| 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 | 59 | 2015 |
| 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 | 50 | 2021 |
| 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 | 50 | 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 | 47 | 2018 |
| 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 | 43 | 2021 |
| Transfusion: multi-view divergent fusion for medical image segmentation with transformers D Liu, Y Gao, Q Zhangli, L Han, X He, Z Xia, S Wen, Q Chang, Z Yan, ... International conference on medical image computing and computer-assisted …, 2022 | 42 | 2022 |
| Automatic medical image retrieval Z Yan, Y Zhan, S Liao, Y Shinagawa, XS Zhou, M Wolf US Patent 10,304,198, 2019 | 42 | 2019 |
| Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning Y Wang, W Xia, Z Yan, L Zhao, X Bian, C Liu, Z Qi, S Zhang, Z Tang Medical image analysis 85, 102750, 2023 | 34 | 2023 |
| 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 | 34 | 2021 |
| 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 | 34 | 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 | 29 | 2015 |
| 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 | 28 | 2020 |
| Deeprecon: Joint 2d cardiac segmentation and 3d volume reconstruction via a structure-specific generative method Q Chang, Z Yan, M Zhou, D Liu, K Sawalha, M Ye, Q Zhangli, M Kanski, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 21 | 2022 |
| Mining multi-center heterogeneous medical data with distributed synthetic learning Q Chang, Z Yan, M Zhou, H Qu, X He, H Zhang, L Baskaran, S Al’Aref, ... Nature communications 14 (1), 5510, 2023 | 19 | 2023 |
Dimitris N. MetaxasBoard of Governors and Distinguished Professor of Computer Science, Rutgers Universityכתובת אימייל מאומתת בדומיין cs.rutgers.edu