| Automatic 3D liver location and segmentation via convolutional neural network and graph cut F Lu, F Wu, P Hu, Z Peng, D Kong International journal of computer assisted radiology and surgery 12, 171-182, 2017 | 348 | 2017 |
| A pre-trained convolutional neural network based method for thyroid nodule diagnosis J Ma, F Wu, J Zhu, D Xu, D Kong Ultrasonics 73, 221-230, 2017 | 275 | 2017 |
| Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets P Hu, F Wu, J Peng, Y Bao, F Chen, D Kong International journal of computer assisted radiology and surgery 12, 399-411, 2017 | 231 | 2017 |
| Automatic 3D liver segmentation based on deep learning and globally optimized surface evolution P Hu, F Wu, J Peng, P Liang, D Kong Physics in Medicine & Biology 61 (24), 8676, 2016 | 220 | 2016 |
| Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks J Ma, F Wu, T Jiang, Q Zhao, D Kong International journal of computer assisted radiology and surgery 12, 1895-1910, 2017 | 178 | 2017 |
| Automatic classification of early Parkinson's disease with multi-modal MR imaging D Long, J Wang, M Xuan, Q Gu, X Xu, D Kong, M Zhang PloS one 7 (11), e47714, 2012 | 177 | 2012 |
| Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images J Ma, F Wu, T Jiang, J Zhu, D Kong Medical physics 44 (5), 1678-1691, 2017 | 152 | 2017 |
| WEAK LINEAR DEGENERACY AND GLOBAL CLASSICAL-SOLUTIONS FOR GENERAL QUASI-LINEAR HYPERBOLIC SYSTEMS TT Li, Y Zhou, DX Kong Communications in Partial Differential Equations 19 (7-8), 1263-1317, 1994 | 118 | 1994 |
| Diagnostic accuracy of 2D-shear wave elastography for liver fibrosis severity: a meta-analysis T Jiang, G Tian, Q Zhao, D Kong, C Cheng, L Zhong, L Li PloS one 11 (6), e0157219, 2016 | 69 | 2016 |
| Wave character of metrics and hyperbolic geometric flow DX Kong, K Liu Journal of mathematical physics 48 (10), 2007 | 66 | 2007 |
| Cauchy problem for quasilinear hyperbolic systems D Kong (No Title), 2000 | 66 | 2000 |
| Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study Q Yang, J Wei, X Hao, D Kong, X Yu, T Jiang, J Xi, W Cai, Y Luo, X Jing, ... EBioMedicine 56, 2020 | 65 | 2020 |
| The dynamics of relativistic strings moving in the Minkowski space DX Kong, Q Zhang, Q Zhou Communications in Mathematical physics 269 (1), 153-174, 2007 | 63 | 2007 |
| 3D liver segmentation using multiple region appearances and graph cuts J Peng, P Hu, F Lu, Z Peng, D Kong, H Zhang Medical physics 42 (12), 6840-6852, 2015 | 61 | 2015 |
| Life-span of classical solutions to quasilinear hyperbolic systems with slow decay initial data D Kong Chinese Annals of Mathematics 21 (04), 413-440, 2000 | 57 | 2000 |
| Liver segmentation with constrained convex variational model J Peng, Y Wang, D Kong Pattern Recognition Letters 43, 81-88, 2014 | 56 | 2014 |
| Nonlocal total variation models for multiplicative noise removal using split Bregman iteration F Dong, H Zhang, DX Kong Mathematical and Computer Modelling 55 (3-4), 939-954, 2012 | 55 | 2012 |
| Global existence and asymptotic behavior of classical solutions of quasilinear hyperbolic systems with linearly degenerate characteristic fields WR Dai, DX Kong Journal of Differential Equations 235 (1), 127-165, 2007 | 53 | 2007 |
| Hyperbolic mean curvature flow: evolution of plane curves K Dexing, L Kefeng, W Zenggui Acta Mathematica Scientia 29 (3), 493-514, 2009 | 51 | 2009 |
| Explicit exact solutions for the Liénard equation and its applications D Kong Physics Letters A 196 (1-2), 301-306, 1994 | 51 | 1994 |
