Xian-Hua Han, Yongqing Sun, Jian Wang, Boxin Shi, Yinqiang Zheng, Yen-Wei Chen
Spectral Representation via Data-Guided Sparsity for Hyperspectral Image Super-Resolution
Sensors, (2020) in press. (SCI, Impact factor: 3.302)
Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Xiaoli Ling, Dan Wang, Xian-Hua Han, Yutaro Iwamoto and Yen-Wei Chen
Classification and Quantification of Emphysema Using a Multi-Scale Residual Network
IEEE Journal of Biomedical Health and Informatics, 23(6): 2526-2536 (2019). (SCI, Impact factor: 3.85)
Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Lanfen Lin,Amir Hossein Foruzan, Wei Xiong, Yen-Wei Chen
Vessel Net: A Deep Convolutional Neural Network with Multi Pathways for Robust Hepatic Vessel Segmentations
Computerized Medical Imaging and Graphics, Vol. 75, pp. 74-83, 2019. (SCI, Impact factor: 3.892)
Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, and Yen-Wei Chen
A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image
IEEE/ACM Transactions on Computational Biology and Bioinformatics. (SCI, Impact factor: 2.428)
Sihai Yang, Xian-Hua Han, Yen-Wei Chen
Three-Dimensional Embryonic Image Segmentation and Registration Based on Shape Index and Ellipsoid-Fitting Method
Journal of Computational Biologyy, 26(2): 128-142 (2019).
Xian-Hua Han, Yinqiang Zheng, Yen-Wei Chen
Multi-Level and Multi-Scale Spatial and Spectral Fusion CNN for Hyperspectral Image Super-Resolution
ICCV Workshops 2019: 4330-4339.
Xian-Hua Han, Yen-Wei Chen
Deep Residual Network of Spectral and Spatial Fusion for Hyperspectral Image Super-Resolution
BigMM 2019: 266-270.
Xian-Hua Han, YongQing Sun, Yen-Wei Chen
Residual Component Estimating CNN for Image Super-Resolution
BigMM 2019: 443-447.
Seiya Fujita, Yoshiaki Ueda, Xian-Hua Han
A Preliminary Study of Transferring the existing CNN models for Small-size Nuclei Recognition in Histopathology Images
The 9th International Conference on Frontier Computing. Kitakyushu, Japan, July 9-12, 2019 (Best Paper Award Winner).
Titinunt Kitrungrotsakul, Yutaro Iwamoto, Xian-Hua Han, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Xiong Wei, Yen-Wei Chen
A Cascade of CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Image
ICASSP 2019: 1239-12438.
Xiao Chen, Lanfen Lin, Dong Liang, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu
A Dual-Attention Dilated Residual Networks for Liver Lesion Classification and Localization on CT Images
IEEE International Conference on Image Processing, Sept. 22-25, 2019, Taipei, TaiWan
Dong Liang, Lanfen Lin, Xiao Chen, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, XianHua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu
Multi-stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic CT Images
IEEE International Conference on Image Processing, Sept. 22-25, 2019, Taipei, TaiWan
Han Zheng, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, XianHua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu
Semi-supervised Segmentation of Liver using Adversarial Learning with Deep Atlas Prior
MICCAI 2019, 13-17 Oct 2019, Shenzhen, China
Xiao Chen, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu
A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images
DART/MIL3ID@MICCAI 2019: 129-138.
Yutaro Iwamoto, Kun Xiong, Takahiro Kitamura, Xian-Hua Han, Naoki Matsushiro, Hiroshi Nishimura, Yen-Wei Chen:
Automatic Segmentation of the Paranasal Sinus from Computer Tomography Images Using a Probabilistic Atlas and a Fully Convolutional Network
EMBC 2019: 2789-2792.
Weibin Wang, Qingqing Chen, Yutaro Iwamoto, Xian-Hua Han, Qiaowei Zhang, Hongjie Hu, Lanfen Lin, Yen-Wei Chen
Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data
EMBC 2019: 4881-4884.