| Low rank component induced spatial-spectral kernel method for hyperspectral image classification L Sun, C Ma, Y Chen, Y Zheng, HJ Shim, Z Wu, B Jeon IEEE Transactions on Circuits and Systems for Video Technology 30 (10), 3829 …, 2019 | 96 | 2019 |
| An improved level set method for brain MR images segmentation and bias correction Y Chen, J Zhang, J Macione Computerized Medical Imaging and Graphics 33 (7), 510-519, 2009 | 82 | 2009 |
| Level set segmentation of brain magnetic resonance images based on local Gaussian distribution fitting energy L Wang, Y Chen, X Pan, X Hong, D Xia Journal of neuroscience methods 188 (2), 316-325, 2010 | 78 | 2010 |
| Adjacent superpixel-based multiscale spatial-spectral kernel for hyperspectral classification L Sun, C Ma, Y Chen, HJ Shim, Z Wu, B Jeon IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 59 | 2019 |
| Image segmentation and bias correction via an improved level set method Y Chen, J Zhang, A Mishra, J Yang Neurocomputing 74 (17), 3520-3530, 2011 | 50 | 2011 |
| An improved variational level set method for MR image segmentation and bias field correction T Zhan, J Zhang, L Xiao, Y Chen, Z Wei Magnetic Resonance Imaging 31 (3), 439-447, 2013 | 41 | 2013 |
| An improved anisotropic hierarchical fuzzy c-means method based on multivariate student t-distribution for brain MRI segmentation Y Chen, H Zhang, Y Zheng, B Jeon, QMJ Wu Pattern Recognition 60, 778-792, 2016 | 33 | 2016 |
| Automatic segmentation for brain MR images via a convex optimized segmentation and bias field correction coupled model Y Chen, B Zhao, J Zhang, Y Zheng Magnetic resonance imaging 32 (7), 941-955, 2014 | 33 | 2014 |
| Adaptively determining regularisation parameters in non‐local total variation regularisation for image denoising Y Zheng, B Jeon, J Zhang, Y Chen Electronics Letters 51 (2), 144-145, 2015 | 32 | 2015 |
| Hyperspectral unmixing employing l1−l2 sparsity and total variation regularization L Sun, W Ge, Y Chen, J Zhang, B Jeon International journal of remote sensing 39 (19), 6037-6060, 2018 | 29 | 2018 |
| Correlation between cognitive function and the association fibers in patients with Alzheimer’s disease using diffusion tensor imaging JZ Meng, LW Guo, H Cheng, YJ Chen, L Fang, M Qi, ZY Jia, ... Journal of Clinical Neuroscience 19 (12), 1659-1663, 2012 | 25 | 2012 |
| Brain magnetic resonance image segmentation based on an adapted non-local fuzzy c-means method Y Chen, J Zhang, S Wang, Y Zheng IET Computer Vision 6 (6), 610-625, 2012 | 24 | 2012 |
| A glioma segmentation method using cotraining and superpixel-based spatial and clinical constraints T Zhan, F Shen, X Hong, X Wang, Y Chen, Z Lu, G Yang IEEE Access 6, 57113-57122, 2018 | 21 | 2018 |
| A modified U-Net for brain Mr image segmentation Y Chen, Z Cao, C Cao, J Yang, J Zhang Cloud Computing and Security: 4th International Conference, ICCCS 2018 …, 2018 | 20 | 2018 |
| A fuzzy C-means model based on the spatial structural information for brain MRI segmentation S Wang, Z Geng, J Zhang, Y Chen, J Wang International Journal of Signal Processing, Image Processing and Pattern …, 2014 | 18 | 2014 |
| Brain MR image segmentation based on an improved active contour model X Meng, W Gu, Y Chen, J Zhang PloS one 12 (8), e0183943, 2017 | 17 | 2017 |
| An anisotropic images segmentation and bias correction method Y Chen, J Zhang, J Yang Magnetic resonance imaging 30 (1), 85-95, 2012 | 16 | 2012 |
| Robust affine invariant descriptors J Yang, Z Chen, WS Chen, Y Chen Mathematical Problems in Engineering 2011, 2011 | 14 | 2011 |
| Image segmentation using a hierarchical student's‐t mixture model L Kong, H Zhang, Y Zheng, Y Chen, J Zhu, QMJ Wu IET Image Processing 11 (11), 1094-1102, 2017 | 12 | 2017 |
| A novel model for brain MR images segm entation in the presence of in—tensity in homogeneity W Li, C Yunjie, W Zhihui _Journal of Computer Aided De—sign & Computer Graphics 21 (11), 1624-1631, 2009 | 11 | 2009 |
