| Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation Y Xia, D Yang, Z Yu, F Liu, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth Medical image analysis 65, 101766, 2020 | 251 | 2020 |
| Deep learning representation using autoencoder for 3D shape retrieval Z Zhu, X Wang, S Bai, C Yao, X Bai Neurocomputing 204, 41-50, 2016 | 218 | 2016 |
| A 3D coarse-to-fine framework for volumetric medical image segmentation Z Zhu, Y Xia, W Shen, E Fishman, A Yuille 2018 International conference on 3D vision (3DV), 682-690, 2018 | 204* | 2018 |
| 3d semi-supervised learning with uncertainty-aware multi-view co-training Y Xia, F Liu, D Yang, J Cai, L Yu, Z Zhu, D Xu, A Yuille, H Roth Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 186 | 2020 |
| V-NAS: Neural architecture search for volumetric medical image segmentation Z Zhu, C Liu, D Yang, A Yuille, D Xu 2019 International conference on 3d vision (3DV), 240-248, 2019 | 136 | 2019 |
| Multi-scale coarse-to-fine segmentation for screening pancreatic ductal adenocarcinoma Z Zhu, Y Xia, L Xie, EK Fishman, AL Yuille Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 133 | 2019 |
| Relaxed multiple-instance SVM with application to object discovery X Wang, Z Zhu, C Yao, X Bai Proceedings of the IEEE International Conference on Computer Vision, 1224-1232, 2015 | 109 | 2015 |
| Object recognition with and without objects Z Zhu, L Xie, AL Yuille arXiv preprint arXiv:1611.06596, 2016 | 103 | 2016 |
| Bridging the gap between 2d and 3d organ segmentation with volumetric fusion net Y Xia, L Xie, F Liu, Z Zhu, EK Fishman, AL Yuille Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 97 | 2018 |
| 3D shape matching via two layer coding X Bai, S Bai, Z Zhu, LJ Latecki IEEE transactions on pattern analysis and machine intelligence 37 (12), 2361 …, 2015 | 90 | 2015 |
| Organ at risk segmentation for head and neck cancer using stratified learning and neural architecture search D Guo, D Jin, Z Zhu, TY Ho, AP Harrison, CH Chao, J Xiao, L Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 83 | 2020 |
| Application of deep learning to pancreatic cancer detection: lessons learned from our initial experience LC Chu, S Park, S Kawamoto, Y Wang, Y Zhou, W Shen, Z Zhu, Y Xia, ... Journal of the American College of Radiology 16 (9), 1338-1342, 2019 | 83 | 2019 |
| Comprehensive and clinically accurate head and neck cancer organs-at-risk delineation on a multi-institutional study X Ye, D Guo, J Ge, S Yan, Y Xin, Y Song, Y Yan, B Huang, TM Hung, ... Nature communications 13 (1), 6137, 2022 | 36* | 2022 |
| Lymph node gross tumor volume detection in oncology imaging via relationship learning using graph neural network CH Chao, Z Zhu, D Guo, K Yan, TY Ho, J Cai, AP Harrison, X Ye, J Xiao, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 35 | 2020 |
| Volumetric medical image segmentation: A 3d deep coarse-to-fine framework and its adversarial examples Y Li, Z Zhu, Y Zhou, Y Xia, W Shen, EK Fishman, AL Yuille Deep Learning and Convolutional Neural Networks for Medical Imaging and …, 2019 | 32 | 2019 |
| Lymph node gross tumor volume detection and segmentation via distance-based gating using 3D CT/PET imaging in radiotherapy Z Zhu, D Jin, K Yan, TY Ho, X Ye, D Guo, CH Chao, J Xiao, A Yuille, L Lu International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 28 | 2020 |
| The felix project: Deep networks to detect pancreatic neoplasms Y Xia, Q Yu, L Chu, S Kawamoto, S Park, F Liu, J Chen, Z Zhu, B Li, ... medRxiv, 2022.09. 24.22280071, 2022 | 27 | 2022 |
| Accurate non-invasive grading of nonfunctional pancreatic neuroendocrine tumors with a CT derived radiomics signature AA Javed, Z Zhu, B Kinny-Köster, JR Habib, S Kawamoto, RH Hruban, ... Diagnostic and interventional imaging 105 (1), 33-39, 2024 | 16 | 2024 |
| Segmentation for classification of screening pancreatic neuroendocrine tumors Z Zhu, Y Lu, W Shen, EK Fishman, AL Yuille Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 15 | 2021 |
| Detecting scatteredly-distributed, small, andcritically important objects in 3d oncologyimaging via decision stratification Z Zhu, K Yan, D Jin, J Cai, TY Ho, AP Harrison, D Guo, CH Chao, X Ye, ... arXiv preprint arXiv:2005.13705, 2020 | 12 | 2020 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityPotvrđena adresa e-pošte na jhu.edu
