| 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 | 3679 | 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 | 531 | 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 |
| Deep learning in healthcare YW Chen, LC Jain Paradigms and Applications; Springer: Berlin/Heidelberg, Germany, 2020 | 143* | 2020 |
| Automatic cephalometric landmark detection on X-ray images using a deep-learning method Y Song, X Qiao, Y Iwamoto, Y Chen Applied Sciences 10 (7), 2547, 2020 | 137 | 2020 |
| Supervised kernel locality preserving projections for face recognition J Cheng, Q Liu, H Lu, YW Chen Neurocomputing 67, 443-449, 2005 | 132 | 2005 |
| 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 |
| 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 |
| 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 | 124 | 2022 |
| Robust Japanese road sign detection and recognition in complex scenes using convolutional neural networks R Hasegawa, Y Iwamoto, YW Chen Journal of Image and Graphics 8 (3), 59-66, 2020 | 108 | 2020 |
| Multi-modal adaptive fusion transformer network for the estimation of depression level H Sun, J Liu, S Chai, Z Qiu, L Lin, X Huang, Y Chen Sensors 21 (14), 4764, 2021 | 99 | 2021 |
| Robust multi-logo watermarking by RDWT and ICA TD Hien, Z Nakao, YW Chen Signal Processing 86 (10), 2981-2993, 2006 | 99 | 2006 |
| Automated segmentation of the liver from 3D CT images using probabilistic atlas and multi-level statistical shape model T Okada, R Shimada, Y Sato, M Hori, K Yokota, M Nakamoto, YW Chen, ... International Conference on Medical Image Computing and Computer-Assisted …, 2007 | 95 | 2007 |
| 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 |
| Segmentation of liver in low-contrast images using K-means clustering and geodesic active contour algorithms AH Foruzan, YW Chen, RA Zoroofi, A Furukawa, Y Sato, M Hori, ... IEICE TRANSACTIONS on Information and Systems 96 (4), 798-807, 2013 | 81 | 2013 |
| 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 |
| Improved segmentation of low-contrast lesions using sigmoid edge model AH Foruzan, YW Chen International journal of computer assisted radiology and surgery 11 (7 …, 2016 | 78 | 2016 |
| Computer-assisted preoperative planning for reduction of proximal femoral fracture using 3-D-CT data T Okada, Y Iwasaki, T Koyama, N Sugano, YW Chen, K Yonenobu, Y Sato IEEE Transactions on Biomedical Engineering 56 (3), 749-759, 2008 | 74 | 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 | 72 | 2021 |
Xian-Hua HanProfessor, Graduate School of Artificial Intelligence and Science, Rikkyo UniversityVerified email at rikkyo.ac.jp
