| An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms XG Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 …, 2019 | 108* | 2019 |
| Prediction of lung malignancy progression and survival with machine learning based on pre-treatment FDG-PET/CT B Huang, J Sollee, YH Luo, A Reddy, Z Zhong, J Wu, J Mammarappallil, ... EBioMedicine 82, 2022 | 31 | 2022 |
| A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation Z Zhang, J Li, Z Zhong, Z Jiao, X Gao arXiv preprint arXiv:1906.07367, 2019 | 21 | 2019 |
| Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge L Wang, C Xie, Y Lin, HY Zhou, K Chen, D Cheng, F Dubost, B Collery, ... Medical Image Analysis 72, 102115, 2021 | 20 | 2021 |
| A coarse-to-fine deep heatmap regression method for adolescent idiopathic scoliosis assessment Z Zhong, J Li, Z Zhang, Z Jiao, X Gao Computational Methods and Clinical Applications for Spine Imaging: 6th …, 2020 | 15 | 2020 |
| Quality-driven deep active learning method for 3D brain MRI segmentation Z Zhang, J Li, C Tian, Z Zhong, Z Jiao, X Gao Neurocomputing 446, 106-117, 2021 | 11 | 2021 |
| Collaborative boundary-aware context encoding networks for error map prediction Z Zhang, C Tian, X Gao, J Li, Z Jiao, C Wang, Z Zhong Pattern Recognition 125, 108515, 2022 | 6 | 2022 |
| End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary study S Meng, TML Tran, M Hu, PP Wang, T Yi, Z Zhong, L Wang, B Vogt, Z Jiao, ... Journal of Stroke and Cerebrovascular Diseases 31 (11), 106753, 2022 | 4 | 2022 |
| A multi-resolution coarse-to-fine segmentation framework with active learning in 3d brain mri Z Zhang, J Li, Z Zhong, Z Jiao, X Gao Intelligence Science and Big Data Engineering. Visual Data Engineering: 9th …, 2019 | 3 | 2019 |
| Pulmonary Embolism Mortality Prediction With Deep Learning Based on Computed Tomographic Pulmonary Angiography and Clinical Data FH Fayad, Z Zhong, J Sollee, Z Jiao, H Bai, M Atalay Circulation 146 (Suppl_1), A12497-A12497, 2022 | 1 | 2022 |
| Attention Guided 3D U-Net for KiTS19 Z Zhong, Z Zhang, Z Jiao University of Minnesota Libraries Publishing, 2019 | 1 | 2019 |
| De-biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data Z Zhong, J Li, S Kulkarni, H Zhang, FH Fayad, Y Li, S Collins, H Bai, ... IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
| Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model Z Zhong, J Li, S Kulkarni, Y Li, FH Fayad, H Zhang, SH Ahn, H Bai, X Gao, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation Z Zhong, J Li, L Bi, L Yang, I Kamel, R Chellappa, X Gao, H Bai, Z Jiao arXiv preprint arXiv:2306.08213, 2023 | | 2023 |
