| Texture analysis on 18F-FDG PET/CT images to differentiate malignant and benign bone and soft-tissue lesions R Xu, S Kido, K Suga, Y Hirano, R Tachibana, K Muramatsu, K Chagawa, ... Annals of nuclear medicine 28, 926-935, 2014 | 101 | 2014 |
| Deep joint depth estimation and color correction from monocular underwater images based on unsupervised adaptation networks X Ye, Z Li, B Sun, Z Wang, R Xu, H Li, X Fan IEEE Transactions on Circuits and Systems for Video Technology 30 (11), 3995 …, 2019 | 83 | 2019 |
| PMBANet: Progressive multi-branch aggregation network for scene depth super-resolution X Ye, B Sun, Z Wang, J Yang, R Xu, H Li, B Li IEEE Transactions on Image Processing 29, 7427-7442, 2020 | 82 | 2020 |
| Classification of diffuse lung disease patterns on high-resolution computed tomography by a bag of words approach R Xu, Y Hirano, R Tachibana, S Kido Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 56 | 2011 |
| Depth upsampling based on deep edge-aware learning Z Wang, X Ye, B Sun, J Yang, R Xu, H Li Pattern Recognition 103, 107274, 2020 | 54 | 2020 |
| Wavelet-based multiresolution medical image registration strategy combining mutual information with spatial information R Xu, YW Chen International journal of innovative computing, information and control 3 (2 …, 2007 | 54 | 2007 |
| Sliding mode control with sigmoid function for the motion tracking control of the piezo‐actuated stages R Xu, M Zhou Electronics Letters 53 (2), 75-77, 2017 | 52 | 2017 |
| Parzen-window based normalized mutual information for medical image registration R Xu, YW Chen, SY Tang, S Morikawa, Y Kurumi IEICE transactions on information and systems 91 (1), 132-144, 2008 | 48 | 2008 |
| VolumeNet: A lightweight parallel network for super-resolution of MR and CT volumetric data Y Li, Y Iwamoto, L Lin, R Xu, R Tong, YW Chen IEEE Transactions on Image Processing 30, 4840-4854, 2021 | 47 | 2021 |
| DPNet: Detail-preserving network for high quality monocular depth estimation X Ye, S Chen, R Xu Pattern Recognition 109, 107578, 2021 | 45 | 2021 |
| Learning scene structure guidance via cross-task knowledge transfer for single depth super-resolution B Sun, X Ye, B Li, H Li, Z Wang, R Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 43 | 2021 |
| Generalized N-dimensional principal component analysis (GND-PCA) and its application on construction of statistical appearance models for medical volumes with fewer samples R Xu, YW Chen Neurocomputing 72 (10-12), 2276-2287, 2009 | 42 | 2009 |
| Radiomic-based quantitative CT analysis of pure ground-glass nodules to predict the invasiveness of lung adenocarcinoma F Xu, W Zhu, Y Shen, J Wang, R Xu, C Qutesh, L Song, Y Gan, C Pu, ... Frontiers in oncology 10, 872, 2020 | 38 | 2020 |
| Underwater image enhancement using stacked generative adversarial networks X Ye, H Xu, X Ji, R Xu Pacific Rim Conference on Multimedia, 514-524, 2018 | 33 | 2018 |
| Unsupervised monocular depth estimation via recursive stereo distillation X Ye, X Fan, M Zhang, R Xu, W Zhong IEEE Transactions on Image Processing 30, 4492-4504, 2021 | 26 | 2021 |
| Classification of diffuse lung diseases patterns by a sparse representation based method on HRCT images W Zhao, R Xu, Y Hirano, R Tachibana, S Kido 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 26 | 2013 |
| Pulmonary textures classification via a multi-scale attention network R Xu, Z Cong, X Ye, Y Hirano, S Kido, T Gyobu, Y Kawata, O Honda, ... IEEE journal of biomedical and health informatics 24 (7), 2041-2052, 2019 | 20 | 2019 |
| A bag-of-features approach to classify six types of pulmonary textures on high-resolution computed tomography R Xu, Y Hirano, R Tachibana, S Kido IEICE TRANSACTIONS on Information and Systems 96 (4), 845-855, 2013 | 19 | 2013 |
| An introduction and survey of computer-aided detection/diagnosis (CAD) H Fujita, X Zhang, S Kido, T Hara, X Zhou, Y Hatanaka, R Xu Proc. IEEE Int. Conf. Future Comput. Control Commun, 200-205, 2010 | 19 | 2010 |
| Joint extraction of retinal vessels and centerlines based on deep semantics and multi-scaled cross-task aggregation R Xu, T Liu, X Ye, F Liu, L Lin, L Li, S Tanaka, YW Chen IEEE Journal of Biomedical and Health Informatics 25 (7), 2722-2732, 2020 | 18 | 2020 |
Xinchen YeDalian University of Technology在 dlut.edu.cn 的电子邮件经过验证
