| Robust noise region-based active contour model via local similarity factor for image segmentation S Niu, Q Chen, L De Sisternes, Z Ji, Z Zhou, DL Rubin Pattern Recognition 61, 104-119, 2017 | 247 | 2017 |
| A modified possibilistic fuzzy c-means clustering algorithm for bias field estimation and segmentation of brain MR image ZX Ji, QS Sun, DS Xia Computerized Medical Imaging and Graphics 35 (5), 383-397, 2011 | 194 | 2011 |
| Fuzzy c-means clustering with weighted image patch for image segmentation Z Ji, Y Xia, Q Chen, Q Sun, D Xia, DD Feng Applied soft computing 12 (6), 1659-1667, 2012 | 152 | 2012 |
| Fuzzy local Gaussian mixture model for brain MR image segmentation Z Ji, Y Xia, Q Sun, Q Chen, D Xia, DD Feng IEEE transactions on Information Technology in Biomedicine 16 (3), 339-347, 2012 | 151 | 2012 |
| Robust spatially constrained fuzzy c-means algorithm for brain MR image segmentation Z Ji, J Liu, G Cao, Q Sun, Q Chen Pattern recognition 47 (7), 2454-2466, 2014 | 133 | 2014 |
| Image projection network: 3D to 2D image segmentation in OCTA images M Li, Y Chen, Z Ji, K Xie, S Yuan, Q Chen, S Li IEEE Transactions on Medical Imaging 39 (11), 3343-3354, 2020 | 130 | 2020 |
| A moment-based nonlocal-means algorithm for image denoising Z Ji, Q Chen, QS Sun, DS Xia Information Processing Letters 109 (23-24), 1238-1244, 2009 | 119 | 2009 |
| Generalized rough fuzzy c-means algorithm for brain MR image segmentation Z Ji, Q Sun, Y Xia, Q Chen, D Xia, D Feng Computer methods and programs in biomedicine 108 (2), 644-655, 2012 | 114 | 2012 |
| Active contours driven by local likelihood image fitting energy for image segmentation Z Ji, Y Xia, Q Sun, G Cao, Q Chen Information Sciences 301, 285-304, 2015 | 103 | 2015 |
| Interval-valued possibilistic fuzzy C-means clustering algorithm Z Ji, Y Xia, Q Sun, G Cao Fuzzy Sets and Systems 253, 138-156, 2014 | 88 | 2014 |
| Adaptive scale fuzzy local Gaussian mixture model for brain MR image segmentation Z Ji, Y Xia, Q Sun, Q Chen, D Feng Neurocomputing 134, 60-69, 2014 | 66 | 2014 |
| Beyond retinal layers: a deep voting model for automated geographic atrophy segmentation in SD-OCT images Z Ji, Q Chen, S Niu, T Leng, DL Rubin Translational vision science & technology 7 (1), 1-1, 2018 | 59 | 2018 |
| Brain MRI image segmentation based on learning local variational Gaussian mixture models Y Xia, Z Ji, Y Zhang Neurocomputing 204, 189-197, 2016 | 55 | 2016 |
| Probabilistic diffusion for interactive image segmentation T Wang, J Yang, Z Ji, Q Sun IEEE Transactions on Image Processing 28 (1), 330-342, 2018 | 51 | 2018 |
| Label propagation and higher-order constraint-based segmentation of fluid-associated regions in retinal SD-OCT images T Wang, Z Ji, Q Sun, Q Chen, S Yu, W Fan, S Yuan, Q Liu Information Sciences 358, 92-111, 2016 | 49 | 2016 |
| A robust modified Gaussian mixture model with rough set for image segmentation Z Ji, Y Huang, Y Xia, Y Zheng Neurocomputing 266, 550-565, 2017 | 41 | 2017 |
| MS-CAM: Multi-scale class activation maps for weakly-supervised segmentation of geographic atrophy lesions in SD-OCT images X Ma, Z Ji, S Niu, T Leng, DL Rubin, Q Chen IEEE Journal of Biomedical and Health Informatics 24 (12), 3443-3455, 2020 | 40 | 2020 |
| A spatially constrained generative asymmetric Gaussian mixture model for image segmentation Z Ji, Y Huang, Q Sun, G Cao Journal of Visual Communication and Image Representation 40, 611-626, 2016 | 30 | 2016 |
| Diffusive likelihood for interactive image segmentation T Wang, Z Ji, Q Sun, Q Chen, Q Ge, J Yang Pattern Recognition 79, 440-451, 2018 | 29 | 2018 |
| Interactive multilabel image segmentation via robust multilayer graph constraints T Wang, Z Ji, Q Sun, Q Chen, XY Jing IEEE Transactions on Multimedia 18 (12), 2358-2371, 2016 | 29 | 2016 |
