| 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 | 2724 | 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 | 369 | 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 | 154 | 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 | 130 | 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 | 116 | 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 | 114 | 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 | 113 | 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 | 96 | 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 | 85 | 2022 |
| 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 | 82 | 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 | 73 | 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 | 62 | 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 | 58 | 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 | 58 | 2015 |
| 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 | 56 | 2021 |
| Medical image segmentation with deep atlas prior H Huang, H Zheng, L Lin, M Cai, H Hu, Q Zhang, Q Chen, Y Iwamoto, ... IEEE Transactions on Medical Imaging 40 (12), 3519-3530, 2021 | 56 | 2021 |
| Cell detection and segmentation in microscopy images with improved mask R-CNN S Fujita, XH Han Proceedings of the Asian conference on computer vision, 2020 | 49 | 2020 |
| 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 | 46 | 2018 |
| 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 | 43 | 2018 |
| 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 | 43 | 2017 |
Yen-Wei ChenRitsumeikan UniversityZweryfikowany adres z is.ritsumei.ac.jp
