Publications: 2024

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学術論文誌

1. Xian-Hua Han, Jian Wang, Yen-Wei Chen:
   Mask-guided Spatial-Spectral MLP Network for High-Resolution Hyperspectral Image Reconstruction
   Sensors 2024, 24(22), 7362; https://doi.org/10.3390/s24227362

2. Zhe Liu, Xian-Hua Han:
   Hyperspectral image super resolution using deep internal and self-supervised learning
   CAAI Trans. Intell. Technol. 9(1): 128-141 (2024). 

3. Xian-Hua Han, Kazuhiro Yamawaki, Huiyan Jiang:
   Coupled image and kernel prior learning for high-generalized super-resolution
   Neurocomputing 583: 127500 (2024). 

4. Yanqiu Wang, Tong Wang, Yi Cao, Xu Qiao, Xianhua Han, Zhi-Ping Liu:
   TopMarker: Computational screening biomarkers of hepatocellular carcinoma from transcriptome and interactome based on differential network topological parameters
   Comput. Biol. Chem. 112: 108166 (2024). 

5. Xing Wu, Zhi Li, Chenjie Tao, Xianhua Han, Yen-Wei Chen, Junfeng Yao, Jian Zhang, Qun Sun, Weimin Li, Yue Liu, Yike Guo
   DEA: Data-efficient augmentation for interpretable medical image segmentation
   Biomed. Signal Process. Control. 89: 105748 (2024).   

6. Xing Wu, Chenjie Tao, Zhi Li, Jian Zhang, Qun Sun, Xianhua Han, Yen-Wei Chen
   Medical image segmentation data augmentation method based on channel weight and data-efficient features
   Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2024 Apr 25;41(2):220-227. 

7. Yulin Yang, Qingqing Chen, Yinhao Li, Fang Wang, Xian-Hua Han, Yutaro Iwamoto, Jing Liu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
   Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images
   IEEE J. Biomed. Health Informatics 28(8): 4737-4750 (2024) . 

8. Xing Wu, Jie Pei, Xian-Hua Han, Yen-Wei Chen, Junfeng Yao, Yang Liu, Quan Qian, Yike Guo:
   FedEL: Federated ensemble learning for non-iid data
   Expert Systems with Applications, Volume 237, Part A, 1 March, 2024, 121390. 

国際学会

1. Hayato Iyoda, Yongqing Sun, Xian-Hua Han:

Hierarchical Feature Aggregation Network Based on Swin Transformer for Medical Image Segmentation.

 ACCV Workshops (2) 2024: 105-117  (Best Paper Award)

2. YinWei Du, Jian Wang, Xing Wu, Xian-Hua Han:

Dual Directional Complementary Gradient Fusion and Deep Refinement for Hyperspectral Image Super Resolution. 

ICASSP 2024: 2385-2389. 

3. Takumi Takabe, Xian-Hua Han, Yen-Wei Chen:

Deep Versatile Hyperspectral Reconstruction Model from A Snapshot Measurement with Arbitrary Masks. 

ICASSP 2024: 2390-2394. 

4. Xian-Hua Han, Huiyan Jiang, Yen-Wei Chen:

Hyperspectral Image Reconstruction Using Hierarchical Neural Architecture Search from A Snapshot Image. 

ICASSP 2024: 2500-2504.

5. Ekei Harimoto, Xian-Hua Han:

Multi-scale Feature Fusion CenterNet for Accurate Wheat Head Detection. 

Proc. of 2024 International Workshop on Intelligent Image Processing and Pattern Recognition (IIPPR2024), pp.23-26, Jinan, China, Aug. 19-21, 2024.

6. Xueyao Cui, Huiyan Jiang, Yang Zhou, Xianhua Han, Xuena Li, Yan Pei:

Lesion Feature Extraction and Classification Optimization Method Using Dynamic Fusion of Global Attention and Local Attention. 

IJCNN 2024: 1-7.

7. Jihao Li, Xian-Hua Han, Xu Qiao, Jiande Sun, Jian Wang :

DWU-Net: A Dual-Branch U-Shaped Multi-Modal Medical Image Segmentation Network Based on Wavelet Transform . 

CARE@MICCAI 2024: 240-251 .

8. Yulin Yang, Jing Liu, Qingqing Chen, Yinhao Li, Xian-Hua Han, Hongjie Hu, Lanfen Lin, and Yen-Wei Chen:

GANs-guided Conditional Diffusion Model for Synthesizing Contrast-enhanced Computed Tomography Images. 

Proc. of the 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2024), pp.1-4, Orlando, Florida, USA, July 15-19, 2024.

9. Rahul Kumar JAIN, Shurong CHAI, Takahiro SATO, Ahmed M El-Sayed, Taro WATASUE, Tomohiro NAKAGAWA, Xianhua HAN, Lanfen LIN, Hongjie HU, Xiang RUAN, and Yen-Wei CHEN:

Improved Liver Lesion Detection Using Foundation Model: A Novel Approach. 

Innovation in Medicine and Healthcare. KES InMed 2024. Smart Innovation, Systems and Technologies, Springer, vol ??, pp.??-??, June 2024.

10. Yulin Yang, Jing Liu, Qingqing Chen, Yinhao Li, Xian-Hua Han, Hongjie Hu, Lanfen Lin, and Yen-Wei Chen:

An Improved Conditional Diffusion Model for Synthesizing Contrast-enhanced Computed Tomography Images. 

Innovation in Medicine and Healthcare. KES InMed 2024. Smart Innovation, Systems and Technologies, Springer, vol ??, pp.??-??, June 2024 

11. Ibuki Naka, Yutaro Iwamoto, Yin-hao Li, Rahul Kumar Jain, Xianhua Han, Yuji Tezuka, Hiroki Okada, Kiyosumi Maeda, Atsuyuki Wada, Atsunori Kashiwagi, Yen-Wei Chen:

TDUNet: A Transformer-based Dense U-Net for Enhanced Epicardium Segmentation in CT Images. 

Proc. of 2024 International Workshop on Intelligent Image Processing and Pattern Recognition (IIPPR2024), pp.1-4, Jinan, China, Aug. 19-21, 2024. 

国内会議・研究報告

1. 伊與⽥ 颯⼈、韓 先花:

階層的なトランスフォーマー特徴の統合による医療画像セグメンテーションへの検討.

ビジョン技術の実利用ワークショップ2024 (ViEW2024).

2. 張元 慧慶、韓 先花:

小麦の穂検出のためのマルチスケール特徴融合 CenterNet. 

ビジョン技術の実利用ワークショップ2024 (ViEW2024).

3. 胡 之槐、小島 理、韓 先花 :

重要な領域の自動抽出及び段階的学習に基づくきめ細かい画像分類. 

電子通信情報学会総合大会, D-12-17、2025年3月24日ー28日. 

4. 王 続、韓 先花 :

ＣＮＮとTransformerのハイブリッドモデルを用いた皮膚画像セグメンテーションの検討. 

電子通信情報学会総合大会, , D-12-21、2025年3月24日ー28日.