| 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 | 3716 | 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 | 535 | 2022 |
| 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, 2019 | 211 | 2019 |
| 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 | 164 | 2018 |
| 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 | 135 | 2018 |
| 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 | 129 | 2019 |
| 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 | 125 | 2022 |
| 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, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 125 | 2019 |
| 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 | 106 | 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 International conference on medical image computing and computer-assisted …, 2018 | 93 | 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 | 87 | 2019 |
| 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 | 79 | 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 | 71 | 2021 |
| 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 | 64 | 2018 |
| 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 | 63 | 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 | 60 | 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 | 56 | 2015 |
| Enhanced deep bottleneck transformer model for skin lesion classification K Nakai, YW Chen, XH Han Biomedical Signal Processing and Control 78, 103997, 2022 | 53 | 2022 |
| 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 | 53 | 2018 |
| Deep learning-based radiomics models for early recurrence prediction of hepatocellular carcinoma with multi-phase CT images and clinical data W Weibin, C Qingqing, HAN Xianhua, HU Hongjie, LIN Lanfen, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 48 | 2019 |
Yen-Wei ChenRitsumeikan UniversityVerified email at is.ritsumei.ac.jp
