Publications: 2022

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学術論文誌

1. Zhe Liu, Xian-Hua Han:
   Deep self-supervised hyperspectral image reconstruction
   ACM Transactions on Multimedia Computing, Communication, and Applications, 18(3s): 149:1-149:20 (2022) 

2. Xinran Zhang, Xiaoyu Shi, Yutaro Iwamoto, Jingliang Cheng, Jie Bai, Guohua Zhao, Xian-hua Han and Yen-Wei Chen:
   IDH Mutation Status Prediction by a Radiomics Associated Modality Attention Network
   The Visual Computer, 39(6): 2367-2379 (2023) .

3. Weibin WANG, Fang WANG, Qingqing CHEN, Shuyi OUYANG, Yutaro IWAMOTO, Xianhua HAN, Lanfen Lin, Hongjie Hu, Ruofeng Tong, *Yen-Wei CHEN:
   Phase Attention Model for Prediction of Early Recurrence of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data
   Frontiers in Radiology, Vol.２, 2022, https://doi.org/10.3389/fradi.2022.856460.

4. Katsuhiro Nakai, Yen-Wei Chen, Xian-Hua Han:
   Enhanced Deep Bottleneck Transformer Model for Skin Lesion Classification
   Biomedical Signal Processing and Control, 78(2022), 103997.

5. Xian-Hua Han, Yinqiang Zheng, Yen-Wei Chen:
   Hyperspectral Image Reconstruction using Multi-Scale Fusion Learning
   ACM Transactions on Multimedia Computing, Communication, and Applications, 18(1): 16:1-16:21, 2022.

6. Huimin Huang, Qingqing Chen, Lanfen Lin, Ming Cai, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen, Ruofeng Tong, Hongjie Hu:
   MTL-ABS3Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images
   IEEE J. Biomed. Health Informatics 26(8): 3988-3998 (2022)

7. Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen:
   Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation
   IEEE Transactions on Circuits and Systems for Video Technology, 32(5): 2512-2526, 2022. 

国際学会

1. Kazuhiro Yamawaki, Xian-Hua Han
   Deep Image and Kernel Prior Learning for Blind Super-Resolution
   MMAsia 2022: 2:1-2:7．

2. Yuto Namba, Xian-Hua Han
   Multi-Scale Channel Transformer Network for Single Image Deraining
   MMAsia 2022: 20:1-20:7．

3. Kazuhiro Yamawaki, Xian-Hua Han
   Hyperspectral Reconstruction Using Auxiliary Rgb Learning From A Snapshot Image
   ICIP 2022: 186-190．(Best Student Paper Award: First Runner-up)

4. Zhe Liu, Xian-Hua Han
   Generalized Deep Internal Learning for Hyperspectral Image Super Resolution
   ICIP 2022: 2641-2645．

5. Zhe Liu, Xian-Hua Han, Jiande Sun, Yen-Wei Chen
   Unsupervised Generative Network for Blind Hyperspectral Image Super-Resolution
   ICIP 2022: 2621-2625．

6. Kazuhiro Yamawaki, Xian-Hua Han
   Lightweight Hyperspectral Image Reconstruction Network with Deep Feature Hallucination
   ACCV (Workshops) 2022: 170-184．

7. Zhe Liu, Xian-Hua Han
   Deep RGB-Driven Learning Network for Unsupervised Hyperspectral Image Super-Resolution
   ACCV (Workshops) 2022: 226-239．

8. Yuto Namba, Hikaru Miyata, Xian-Hua Han
   Multi-scale Residual Aggregation Deraining Network with Spatial Context-aware Pooling and Activation
   CVPR Workshops 2022: 567-576．

9. Yang Ai, Panyanat Aonpong, Weibin Wang, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen:
   Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer
   EMBC 2022: 447-450．

10. Rahul Kumar Jain, Takahiro Sato, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Xiang Ruan, Yen-Wei Chen:
    Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images
    EMBC 2022: 1536-1539．

11. Swathi Ananda, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
    Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images
    EMBC 2022: 1552-1555.

12. Yulin Yang, Yutaro Iwamoto, Yen-Wei Chen, Caie Xu, Qingqing Chen, Hongjie Hu, Xian-Hua Han, Ruofeng Tong, Lanfen Lin:
    Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network
    EMBC 2022: 2097-2100．

13. Weibin Wang, Fang Wang, Yunjun Yang, Yinhao Li, Jing Liu, Xian-Hua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Yen-Wei Chen:
    Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image.
    GCCE 2022: 926-929．

14. Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
    Mixed Transformer U-Net for Medical Image Segmentation
    IICASSP 2022: 2390-2394．

15. He Li, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen:
    A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images
    ICCE 2022: 1-4.

16. Huimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
    ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise ?Perspective for Medical Image Segmentation
    IJCAI 2022: 964-971.

17. Katsuhiro Nakai, Xian-Hua Han:
    DPE-BoTNeT: Dual Position Encoding Bottleneck Transformer Network for Skin Lesion Classification
    ISBI 2022: 1-5.

18. Kazuhiro Yamawaki, Xian-Hua Han:
    Deep Unsupervised Blind Learning for Single Image Super Resolution
    MIPR 2022: 190-193.

19. He Li, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
    An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesions
    MICCAI (8) 2022: 214-223.