| 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 | 258 | 2017 |
| Adaptive total variation denoising based on difference curvature Q Chen, P Montesinos, QS Sun, PA Heng Image and vision computing 28 (3), 298-306, 2010 | 247 | 2010 |
| RETOUCH: The retinal OCT fluid detection and segmentation benchmark and challenge H Bogunović, F Venhuizen, S Klimscha, S Apostolopoulos, ... IEEE transactions on medical imaging 38 (8), 1858-1874, 2019 | 208 | 2019 |
| A double-threshold image binarization method based on edge detector Q Chen, Q Sun, PA Heng, D Xia Pattern recognition 41 (4), 1254-1267, 2008 | 183 | 2008 |
| 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 | 150 | 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 | 148 | 2012 |
| 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 | 142 | 2020 |
| Automated drusen segmentation and quantification in SD-OCT images Q Chen, T Leng, L Zheng, L Kutzscher, J Ma, L de Sisternes, DL Rubin Medical image analysis 17 (8), 1058-1072, 2013 | 135 | 2013 |
| 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 | 134 | 2014 |
| 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 | 121 | 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 | 105 | 2015 |
| Fully automated prediction of geographic atrophy growth using quantitative spectral-domain optical coherence tomography biomarkers S Niu, L de Sisternes, Q Chen, DL Rubin, T Leng Ophthalmology 123 (8), 1737-1750, 2016 | 85 | 2016 |
| Two-stage object tracking method based on kernel and active contour Q Chen, QS Sun, PA Heng, DS Xia IEEE Transactions on Circuits and Systems for Video Technology 20 (4), 605-609, 2010 | 83 | 2010 |
| Ipn-v2 and octa-500: Methodology and dataset for retinal image segmentation M Li, Y Zhang, Z Ji, K Xie, S Yuan, Q Liu, Q Chen arXiv preprint arXiv:2012.07261 5, 16, 2020 | 80 | 2020 |
| Automated geographic atrophy segmentation for SD-OCT images using region-based CV model via local similarity factor S Niu, L de Sisternes, Q Chen, T Leng, DL Rubin Biomedical optics express 7 (2), 581-600, 2016 | 78 | 2016 |
| 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 | 67 | 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 |
| Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint S Niu, Q Chen, L de Sisternes, DL Rubin, W Zhang, Q Liu Computers in biology and medicine 54, 116-128, 2014 | 59 | 2014 |
| Ramp preserving Perona–Malik model Q Chen, P Montesinos, QS Sun Signal Processing 90 (6), 1963-1975, 2010 | 58 | 2010 |
