| 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 | 1964 | 2020 |
| Mixed transformer u-net for medical image segmentation H Wang, S Xie, L Lin, Y Iwamoto, XH Han, YW Chen, R Tong ICASSP 2022-2022 IEEE international conference on acoustics, speech and …, 2022 | 231 | 2022 |
| 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 | 147 | 2018 |
| 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: paradigms and applications, 33-51, 2020 | 99 | 2020 |
| 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 | 97 | 2019 |
| Semi-supervised segmentation of liver using adversarial learning with deep atlas prior H Zheng, L Lin, H Hu, Q Zhang, Q Chen, Y Iwamoto, X Han, YW Chen, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 95 | 2019 |
| 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 | 87 | 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 | 81 | 2018 |
| 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, Y lwamoto, X Han, YW Chen Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 72 | 2018 |
| Multi-level and multi-scale spatial and spectral fusion CNN for hyperspectral image super-resolution XH Han, YQ Zheng, YW Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 62 | 2019 |
| Automatic liver segmentation using U-Net with Wasserstein GANs Y Enokiya, Y Iwamoto, YW Chen, XH Han Journal of Image and Graphics 6 (2), 152-159, 2018 | 58 | 2018 |
| 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, 151-164, 2018 | 57 | 2018 |
| ScaleFormer: revisiting the transformer-based backbones from a scale-wise perspective for medical image segmentation H Huang, S Xie, L Lin, Y Iwamoto, X Han, YW Chen, R Tong arXiv preprint arXiv:2207.14552, 2022 | 56 | 2022 |
| 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 | 54 | 2015 |
| Detection of liver tumor candidates from CT images using deep convolutional neural networks Y Todoroki, XH Han, Y Iwamoto, L Lin, H Hu, YW Chen Innovation in Medicine and Healthcare 2017: Proceedings of the 5th KES …, 2018 | 42 | 2018 |
| PA‐ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images Y Xu, M Cai, L Lin, Y Zhang, H Hu, Z Peng, Q Zhang, Q Chen, X Mao, ... Medical Physics 48 (7), 3752-3766, 2021 | 41 | 2021 |
| Robust hepatic vessel segmentation using multi deep convolution network T Kitrungrotsakul, XH Han, Y Iwamoto, AH Foruzan, L Lin, YW Chen Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and …, 2017 | 38 | 2017 |
| Classification of focal liver lesions using deep learning with fine-tuning W Wang, Y Iwamoto, X Han, YW Chen, Q Chen, D Liang, L Lin, H Hu, ... Proceedings of the 2018 International Conference on digital medicine and …, 2018 | 37 | 2018 |
| 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 (1), 264809, 2013 | 37 | 2013 |
| 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 | 36 | 2020 |
Yen-Wei ChenRitsumeikan University在 is.ritsumei.ac.jp 的电子邮件经过验证
