Publications: 2021

2024                    2023                      2022                       2021                           2020                        2019

学術論文誌

1. Kohei Yamamichi, Xian-Hua Han:
   Lightweight Multi-Scale Context Aggregation Deraining Network With Artifact-Attenuating Pooling and Activation Functions
   IEEE Access 9: 146948-146958 (2021)

2. Kazuhiro Yamawaki, YongQing Sun, Xian-Hua Han:
   Blind Image Super Resolution using Deep Un-supervised Learning
   Electronics, 2021.

3. Zhaoshuo Diao, Huiyan Jiang, Xian-Hua Han, Yu-Dong Yao and Tianyu Shi:
   EFNet: Evidence Fusion Network for tumor segmentation from PET-CT volumes
   Physics in Medicine and Biology. 2021. (First Online) https://iopscience.iop.org/article/10.1088/1361-6560/ac299a

4. Huimin Huang, Han Zheng, Lanfen Lin, Ming Cai, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
   Medical Image Segmentation with Deep Atlas Prior
   IEEE Transactions on Medical Imaging. (First Online) https://ieeexplore.ieee.org/document/9455423/authors#authors

5. Yingying Xu, Ming Cai, Lanfen Lin, Yue Zhang, Hongjie Hu, Zhiyi Peng, Qiaowei Zhang, Qingqing Chen, Xiongwei Mao, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
   PA‐ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi‐phase CT Images
   Medical Physics 48(7), May 2021, DOI:10.1002/mp.14922

6. Zhe Liu, YinQiang Zheng, Xian-Hua Han:
   Deep Unsupervised Fusion Learning for Hyperspectral Image Super Resolution
   Sensors 2021, 21(7), 2348 (2021). https://doi.org/10.3390/s21072348

7. Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen:
   Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer
   IEEE Access 9: 90244-90254 (2021).

国際学会

1. Kohei Yamamichi, Xian-Hua Han
   Multi-scale Residual Aggregation Deraining Network with Spatial Context-aware Pooling and Activation
   BMVC 2021．

2. Kohei Yorimoto, Xian-Hua Han
   HyperMixNet: Hyperspectral Image Reconstruction with Deep Mixed Network from a Snapshot Measurement
   3rd ICCV Workshop on Physics Based Vision meets Deep Learning (PBDL2021), October 2021．

3. Kazuhiro Yamawaki, Xian-Hua Han
   Deep Blind Un-supervised Learning Network for Single Image Super Resolution
   2021 IEEE International Conference on Image Processing (ICIP2021), 19-22 September 2021．

4. Katsuhiro Nakai，Xu Qiao, Xian-Hua Han
   Angular Margin Constrained Loss for Automatic Liver Fibrosis Staging
   17th International Conference on Machine Vision Applications (MVA2021)，July 25-27, 2021．

5. Jian Wang, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
   A Tensor Sparse Representation-Based CBMIR System for Computer-Aided Diagnosis of Focal Liver Lesions and its Pilot Trial
   ICMR 2021: 660-666．

6. Ryo Hasegawa, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Xiujun CAI, Yen-Wei Chen:
   Automatic Detection and Segmentation of Liver Tumors in Multi- phase CT Images by Phase Attention Mask R-CNN
   ICCE 2021: 1-5．

7. WenHao Fang, Xian-Hua Han, Xu Qiao, HuiYan Jiang, Yen-Wei Chen
   Multi-Scale Context Interaction Learning network for Medical Image Segmentation
   IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR2021).

8. Huiming Huang, Ming Cai, Lanfen Lin, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou, Ruofeng Tong, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong
   Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation
   Proc. of the 46th IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP2021), 2021.

9. Haohua DONG, Yutaro IWAMOTO, Xian-Hua Han, Lanfen LIN, Hongjie HU, Xiujun CAI, and Yen-Wei CHEN
   Case Discrimination: Self-supervised Feature Learning for the classication of Focal Liver Lesions
   Innovation in Medicine and Healthcare, Smart Innovation, Systems and Technologies (Proc. of InMed2021), (2021) .

10. Xinran Zhang, Yutaro Iwamoto, Jingliang Cheng, Jie Bai, Guohua Zhao, Xian-Hua Han, and Yen-Wei CHEN
    IDH Mutation Status Prediction by Modality-Self　Attention Network
    Innovation in Medicine and Healthcare, Smart Innovation, Systems and Technologies (Proc. of InMed2021), (2021) .