| 3D fully convolutional networks for co-segmentation of tumors on PET-CT images Z Zhong, Y Kim, L Zhou, K Plichta, B Allen, J Buatti, X Wu 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 120 | 2018 |
| Simultaneous cosegmentation of tumors in PET‐CT images using deep fully convolutional networks Z Zhong, Y Kim, K Plichta, BG Allen, L Zhou, J Buatti, X Wu Medical physics 46 (2), 619-633, 2019 | 97 | 2019 |
| Discriminant tensor spectral–spatial feature extraction for hyperspectral image classification Z Zhong, B Fan, J Duan, L Wang, K Ding, S Xiang, C Pan IEEE Geoscience and Remote Sensing Letters 12 (5), 1028-1032, 2014 | 92 | 2014 |
| Sparse hierarchical clustering for VHR image change detection K Ding, C Huo, Y Xu, Z Zhong, C Pan IEEE Geoscience and Remote Sensing Letters 12 (3), 577-581, 2014 | 43 | 2014 |
| Efficient multiple feature fusion with hashing for hyperspectral imagery classification: A comparative study Z Zhong, B Fan, K Ding, H Li, S Xiang, C Pan IEEE Transactions on Geoscience and Remote Sensing 54 (8), 4461-4478, 2016 | 35 | 2016 |
| Multicluster spatial–spectral unsupervised feature selection for hyperspectral image classification H Li, S Xiang, Z Zhong, K Ding, C Pan IEEE Geoscience and Remote Sensing Letters 12 (8), 1660-1664, 2015 | 16 | 2015 |
| 3D alpha matting based co-segmentation of tumors on PET-CT images Z Zhong, Y Kim, J Buatti, X Wu Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and …, 2017 | 15 | 2017 |
| Multi-scale segmentation using deep graph cuts: Robust lung tumor delineation in MVCBCT X Wu, Z Zhong, J Buatti, J Bai 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 9 | 2018 |
| Improving tumor co-segmentation on PET-CT images with 3D co-matting Z Zhong, Y Kim, L Zhou, K Plichta, B Allen, J Buatti, X Wu 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 8 | 2018 |
| Deep Neural Networks for Surface Segmentation Meet Conditional Random Fields L Zhou, Z Zhong, A Shah, B Qiu, J Buatti, X Wu arXiv preprint arXiv:1906.04714, 2019 | 5 | 2019 |
| Train in dense and test in sparse: A method for sparse object detection in aerial images K Ding, G He, H Gu, Z Zhong, S Xiang, C Pan IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 4 | 2020 |
| 3-d surface segmentation meets conditional random fields L Zhou, Z Zhong, A Shah, X Wu arXiv preprint arXiv:1906.04714, 2019 | 3 | 2019 |
| Structured binary feature extraction for hyperspectral imagery classification Z Zhong, B Fan, J Bai, S Xiang, C Pan 2017 IEEE International Conference on Image Processing (ICIP), 525-529, 2017 | 3 | 2017 |
| Multiscale Region‐Level VHR Image Change Detection via Sparse Change Descriptor and Robust Discriminative Dictionary Learning Y Xu, K Ding, C Huo, Z Zhong, H Li, C Pan The Scientific World Journal 2015 (1), 947695, 2015 | 2 | 2015 |
| PackDet: Packed Long-Head Object Detector K Ding, G He, H Gu, Z Zhong, S Xiang, C Pan | | 2020 |
| Supplement of “Efficient Multiple Feature Fusion with Hashing for Hyperspectral Imagery Classification: A Comparative Study” Z Zhong, B Fan, K Ding, H Li, S Xiang, C Pan | | |
