研究プロジェクト(2017〜)

          
               
  1. 韓先花,鄭銀強, コンピュテーショナルフォトグラフィA, 国立情報学研究所公募研究, 2018.4~2019.3.
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  3. 韓先花:文部科学省研究補助金基盤研究(C)(研究代表者)、人間認知理論と深層統計解析による画像表現と理解、2015年4月―2018年3月.
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  5. 韓先花,Boxin Shi, 鄭銀強, コンピュテーショナルフォトグラフィ, 国立情報学研究所公募研究, 2017.4~2018.3.

発表論文(2017〜)

学術論文誌

2018

  1. Xian-Hua Han, Boxin Shi, YinQiang Zheng
    Self-Similarity Constrained Sparse Representation for Hyperspectral Image Super-Resolution
    the IEEE Transactions on Image Processing. (In press)
  2. Yen-Wei Chen, Xinyin Huang, Dingye Chen, Xian-Hua Han
    Generic and Specific Impression Estimation and Its Application to KANSEI Based Clothing Fabric Image Retrieval
    International Journal of Pattern Recognition and Artificial Intelligence. (In press)
  3. Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, Jian Wang, Xian-Hua Han, Yen-Wei Chen
    Texture-Specific Bag of Visual Words Model and Spatial Cone Matching Based Method for the Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced CT Images
    International Journal of Computer Assisted Radiology and Surgery, 2018 Jan;13(1):151-164. doi: 10.1007/s11548-017-1671-9. Epub 2017 Nov 5.

2017

  1. Chunhua Dong, Xiangyan Zeng, Lanfen Lin, Hongjie Hu, Xianhua Han, Masoud Naghedolfeizi, Dawit Aberra, and Yen-Wei Chen
    An Improved Random Walker with Bayes Model for Volumetric Medical Image Segmentation
    Journal of Healthcare Engineering, Volume 2017 (2017), Article ID 6506049, 11 pages.
  2. Xian-Hua Han, Yen-Wei Chen
    Generalized Aggregation of Sparse Coded Multi-Spectra for Satellite Scene Classification
    ISPRS Int. J. Geo-Inf. 2017, 6(6), 175, 2017.
  3. Xian-Hua Han, Yen-Wei Chen, Gang Xu
    Co-occurrence Context of the data-driven Quantized Local Ternary Patterns for Visual Recognition
    IPSJ Transactions on Computer Vision and Applications, 9:4, 2017.
  4. Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, and Yen-Wei Chen
    Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images
    International Journal of Biomedical Imaging, Volume 2017 (2017), Article ID 1413297, 13 pages.
  5. SiHai Yang, Xian-Hua Han, Tohsato Y, Kyoda K, Onami S, Nishikawa I, Chen Y.
    Phenotype Analysis Method for Identification of Gene Functions Involved in Asymmetric Division of Caenorhabditis elegans
    J Comput Biol. 2017 Feb 8.
  6. Xian-Hua Han, Yen-Wei Chen
    HEp-2 Staining Pattern Recognition Using Stacked Fisher Network for Encoding Weber Local Descriptor
    Pattern Recognition, Vol. 63, pp. 542-550, 2017.

著書

2017〜現在

  1. Xian-Hua Han, Yen-Wei Chen
    High-Order Statistics of Micro-Texton for HEp-2 Staining Pattern Classification
    Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging, Chapter 4, Yisong Chen and Kenji Suzuki (Eds), Springer 出版, 2018.

国際会議・ワークショップ・シンポジウム

2018

  1. Xian-Hua Han, Jian Wang, Jiande Sun, Yen-Wei Chen
    Hyperspectral Image Classification Using Nonnegative Sparse Spectral Representation and Spatial Regularization
    the Pacific-Rim Conference on Multimedia (PCM) 2018. (Accepted)
  2. Jian Wang, Xian-Hua Han, Jiande Sun, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, and Yen-Wei Chen
    Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-Phase CT Images
    the Pacific-Rim Conference on Multimedia (PCM) 2018. (Accepted)
  3. Xian-Hua Han, Boxin Shi, YinQiang Zheng
    SSF-CNN: Spatial and Spectral Fusion CNN for Hyperspectral Image Super-Resolution
    ICIP2018. (Accepted)
  4. Xian-Hua Han, Boxin Shi, YinQiang Zheng
    Residual HSRCNN: Residual Hyper-Spectral Reconstruction CNN from a RGB image
    ICPR2018. (Accepted)
  5. Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Xiaoli Ling, Dan Wang, Xian-Hua Han, Yutaro Iwamoto, Yen-Wei Chen
    Classification of Pulmonary Emphysema in CT Images Based on Multi-scale Deep Convolutional Neural Networks
    ICIP2018. (Accepted)
  6. Xian-Hua Han
    Content-aware Similarity and Sparsity constrained Spectral Representation for Hyperspectral Unmixing
    the 10th International Workshop on Pattern Recognition in Remote Sensing (PRRS 2018). (Accepted)

2017

  1. Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Xiong Wei and Yen-Wei Chen
    Multi-pathways CNN for robust vascular segmentation
    SPIE Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018.
  2. Yutaro Iwamoto, Xian-Hua Han, Akihiko Shiino and Yen-Wei Chen
    Fast super resolution with iterative guided back projection for 3D MR images
    SPIE Medical Imaging: Image Processing 2018.
  3. Xian-Hua Han, Jian Wang, Boxin Shi, Yinqiang Zheng and Yen-Wei Chen
    Hyper-spectral Image Super-resolution Using Non-negative Spectral Representation with Data-guided Sparsity
    The first IEEE International Workshop on Machine Learning and Computing for Visual Semantic Analysis (MLCSA2017).
  4. Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen
    Tensor sparse representation of temporal features for content-based retrieval of focal liver lesions using multi-phase medical images
    The first IEEE International Workshop on Machine Learning and Computing for Visual Semantic Analysis (MLCSA2017).
  5. Liying Peng, Lanfen Lin, Hongjie Hu, Xiaoli Ling, Dan Wang, Xian-Hua Han, Yen-Wei Chen
    Joint Weber-based Rotation Invariant Uniform Local Tenary Pattern for Classification of Pulmonary Emphysema in CT Images
    IEEE International Conference on Image Processing (ICIP2017).
  6. Titinunt KITRUNGROTSAKUL,Xian-Hua Han, Yutaro Iwamoto, and Yen-Wei Chen
    Automatic and Robust Vessel Segmentation in CT Volumes using Submodular Constrained Graph
    Innovation in Medicine and Healthcare 2017 KES-InMde2017), 2017 (Vilamoura, Portugal, Jun.21-23, 2017).
  7. SiHai Yang, Xian-Hua Han, Yen-Wei Chen
    Automatic Segmentation of Cellular / Nuclear Boundaries based on the Shape Index of Image Intensity Surfaces
    Innovation in Medicine and Healthcare 2017 KES-InMde2017), 2017 (Vilamoura, Portugal, Jun.21-23, 2017).
  8. Yoshihiro Todoroki, Xian-Hua Han, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu, Yen-Wei Chen
    Detection of Liver Tumor Candidates from CT Images using Deep Convolutional Neural Networks
    Innovation in Medicine and Healthcare 2017 KES-InMde2017), 2017 (Vilamoura, Portugal, Jun.21-23, 2017).

国内会議・研究報告

2017

  1. 轟佳大,韓先花, 岩本祐太郎,Lanfen Lin,Hongjie Hu,陳延偉
    深層学習技術を用いたCT画像からの肝臓腫瘍候補の検出
    第8回横幹連合コンファレンス, P14-S, 京都,2017.12.2-3.
  2. Xian-Hua Han, Boxin Shi, Yinqiang Zheng, Toru Kouyama, Atsunori Kanemura, Ryosuke Nakamura
    Robust Hyperspectral Image Super-Resolution via Constrained Non-negative Sparse Representation
    画像の認識・理解シンポジウム (MIRU2017).
  3. 韓 先花, 陳 延偉
    スパース自己符号化器を用いてHEp-2 細胞画像認識システム
    第36回日本医用画像工学会大会(JAMIT2017).
  4. Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen
    Learning an overcomplete codebook of tensor local structures for multi-phase medical image retrieval
    第36回日本医用画像工学会大会(JAMIT2017).
  5. Titinunt KITRUNGROTSAKUL,Xian-Hua Han, Yutaro Iwamoto, and Yen-Wei Chen
    Automatic Vessel Segmentation Using A combined Deep Network
    第36回日本医用画像工学会大会(JAMIT2017).
  6. 佐藤亮輔,韓先花, 岩本祐太郎,陳延偉
    Deep Convolutional Neural Networkを用いた食事画像認識
    平成29年電気関係学会関西連合大会,H29年11月25日〜26日,G12-9.