| Unet 3+: A full-scale connected unet for medical image segmentation H Huang, L Lin, R Tong, H Hu, Q Zhang, Y Iwamoto, X Han, YW Chen, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 55 | 2020 |
| Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT images Y Xu, L Lin, H Hu, D Wang, W Zhu, J Wang, XH Han, YW Chen International journal of computer assisted radiology and surgery 13 (1), 151-164, 2018 | 36 | 2018 |
| Segmentation of liver and spleen based on computational anatomy models C Dong, Y Chen, AH Foruzan, L Lin, X Han, T Tateyama, X Wu, G Xu, ... Computers in biology and medicine 67, 146-160, 2015 | 36 | 2015 |
| Adaptive semi-supervised feature selection for cross-modal retrieval E Yu, J Sun, J Li, X Chang, XH Han, AG Hauptmann IEEE Transactions on Multimedia 21 (5), 1276-1288, 2018 | 35 | 2018 |
| Self-similarity constrained sparse representation for hyperspectral image super-resolution XH Han, B Shi, Y Zheng IEEE Transactions on Image Processing 27 (11), 5625-5637, 2018 | 30 | 2018 |
| High-order statistics of weber local descriptors for image representation XH Han, YW Chen, G Xu IEEE transactions on cybernetics 45 (6), 1180-1193, 2014 | 30 | 2014 |
| Computer-aided diagnosis and quantification of cirrhotic livers based on morphological analysis and machine learning YW Chen, J Luo, C Dong, X Han, T Tateyama, A Furukawa, S Kanasaki Computational and mathematical methods in medicine 2013, 2013 | 30 | 2013 |
| Multilinear supervised neighborhood embedding of a local descriptor tensor for scene/object recognition XH Han, YW Chen, X Ruan IEEE Transactions on Image Processing 21 (3), 1314-1326, 2011 | 29 | 2011 |
| Combining convolutional and recurrent neural networks for classification of focal liver lesions in multi-phase CT images D Liang, L Lin, H Hu, Q Zhang, Q Chen, X Han, YW Chen International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 28 | 2018 |
| High-order statistics of microtexton for hep-2 staining pattern classification XH Han, J Wang, G Xu, YW Chen IEEE Transactions on Biomedical Engineering 61 (8), 2223-2234, 2014 | 25 | 2014 |
| HEp-2 cell classification using K-support spatial pooling in deep CNNs XH Han, J Lei, YW Chen Deep Learning and Data Labeling for Medical Applications, 3-11, 2016 | 24 | 2016 |
| An ICA-based method for Poisson noise reduction XH Han, YW Chen, Z Nakao International Conference on Knowledge-Based and Intelligent Information and …, 2003 | 22 | 2003 |
| VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation T Kitrungrotsakul, XH Han, Y Iwamoto, L Lin, AH Foruzan, W Xiong, ... Computerized Medical Imaging and Graphics 75, 74-83, 2019 | 21 | 2019 |
| Liver segmentation using superpixel-based graph cuts and restricted regions of shape constrains T Kitrungrotsakul, XH Han, YW Chen 2015 IEEE International Conference on Image Processing (ICIP), 3368-3371, 2015 | 20 | 2015 |
| Ssf-cnn: Spatial and spectral fusion with cnn for hyperspectral image super-resolution XH Han, B Shi, Y Zheng 2018 25th IEEE International Conference on Image Processing (ICIP), 2506-2510, 2018 | 19 | 2018 |
| Simultaneous segmentation of multiple organs using random walks C Dong, YW Chen, L Lin, H Hu, C Jin, H Yu, XH Han, T Tateyama Journal of Information Processing 24 (2), 320-329, 2016 | 19 | 2016 |
| Color independent components based SIFT descriptors for object/scene classification D Ai, X Han, X Ruan, Y Chen IEICE transactions on information and systems 93 (9), 2577-2586, 2010 | 19 | 2010 |
| Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions J Wang, J Li, XH Han, L Lin, H Hu, Y Xu, Q Chen, Y Iwamoto, YW Chen Pattern Recognition Letters 130, 207-215, 2020 | 18 | 2020 |
| Medical image classification using deep learning W Wang, D Liang, Q Chen, Y Iwamoto, XH Han, Q Zhang, H Hu, L Lin, ... Deep Learning in Healthcare, 33-51, 2020 | 16 | 2020 |
| Food recognition by combined bags of color features and texture features S Sasano, XH Han, YW Chen 2016 9th International Congress on Image and Signal Processing, BioMedical …, 2016 | 16 | 2016 |
