発表論文データベース

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発表論文

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, ?(?): ?, 2022(掲載決定).
  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, Vol. ??, pp. ??-?? (2022) (掲載決定).
  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 Datak
    Frontiers in Radiology, Vol.??, pp.??-?? (2022)(掲載決定).
  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. )
  8. 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)
  9. Kazuhiro Yamawaki, YongQing Sun, Xian-Hua Han:
    Blind Image Super Resolution using Deep Un-supervised Learning
    Electronics, 2021.
  10. 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
  11. 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
  12. 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
  13. 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).
  14. 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
  15. Xian-Hua Han,Yinqiang Zheng, Jiande Sun, Yen-Wei Chen:
    Hyperspectral Reconstruction with Redundant Camera Spectral Sensitivity Functions
    ACM Trans. Multim. Comput. Commun. Appl. 16(2): 57:1-57:15 (2020).
  16. Dong Liang, Yingying Xu, Lanfen Lin, Nan Zhou, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Xian-Hua Han,YYutaro Iwamoto, Yen-Wei Chen:
    CasCRNN-GL-Net: cascaded convolutional and recurrent neural networks with global and local pathways for classification of focal liver lesions in multi-phase CT images
    Commun. Inf. Syst. 20(4): 415-442 (2020).
  17. Min Gao, Xian-Hua Han,Jing Li, Hui Ji, Huaxiang Zhang, Jiande Sun
    Image super-resolution based on two-level residual learning CNN
    Multimedia Tools and Applications, 79(7-8): 4831-4846 (2020).
  18. Liying Peng, Lanfen Lin, Hongjie Hu, Yue Zhang, Huali Li, Yutaro Iwamoto, Xian-Hua Han and Yen-Wei Chen
    Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations
    IEEE Journal of Biomedical Health and Informatics, 24(8): 2327-2336 (2020). (SCI, Impact factor: 3.85)
  19. Jian Wang, Jing Li, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, Yutaro Iwamoto, Yen-Wei Chen
    Tensor-based Sparse Representations of Multi-phase Medical Images for Classification of Focal Liver Lesions
    Pattern Recognition Letter, 130: 207-215 (2020). (SCI, Impact factor: 1.952)
  20. Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, and Yen-Wei Chen
    An End-to-End CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Images and Its Parallel Implementation on Multiple GPUs
    Neural Computing and Applications, 32(10): 5669-5679 (2020)
  21. 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, (2019) . (SCI, Impact factor: 3.302)
  22. 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)
  23. 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)
  24. 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, (2019) in press. (SCI, Impact factor: 3.85)
  25. Xian-Hua Han, Boxin Shi, YinQiang Zheng
    Self-Similarity Constrained Sparse Representation for Hyperspectral Image Super-Resolution
    IEEE Transactions on Image Processing, 27(11): 5625 ? 5637 (2018).
  26. En Yu, Jiande Sun, Jing Li, Xiaojun Chang, Xian-Hua Han, Alexander G. Hauptmann
    Adaptive Semi-supervised Feature Selection for Cross-modal Retrieval
    IEEE Transactions on Multimedia, 21(5): 1276-1288 (2019).
  27. 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).
  28. Yuki Enokiya, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen
    Automatic Liver Segmentation Using U-Net with Wasserstein GANs
    Journal of Image and Graphics, 6(2): 152-159 (2018).
  29. 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, 32(10): 1854024 (2018).
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. Xian-Hua Han, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa and Yen-Wei Chen
    Nuclear detection in 4D microscope images of a developing embryo using an enhanced probability map of top-ranked intensity-ordered descriptors
    IPSJ Transactions on Computer Vision and Applications, Vol. 8, No. 1, pp. 1-15, 2016.
  38. Xian-Hua Han, Yen-Wei Chen, Gang Xu
    Integration of Spatial and Orientation Contexts in Local Ternary Patterns for HEp-2 Cell Classification
    Pattern Recognition Letter, Vol. 82, pp. 23-27, 2016. DOI: 10.1016/j.patrec.2016.02.004.
  39. Xian-Hua Han, Yen-Wei Chen and Gang Xu
    High-order Statistics of Weber Local Descriptors for Image Representation
    IEEE Transaction on Cybernetics, Vol. 45, Issue: 6, pp: 1180-1193. Doi: 10.1109/TCYB.2014.234679.3.
  40. Chunhua Dong, Yen-Wei Chen, Lanfen Lin, Hongjie Hu, Chongwu Jin, Huajun Yu, Xian-Hua Han, Tomoko Tateyama
    Simultaneous Segmentation of Multiple Organs Using Random Walks
    JIP 24(2): 320-329 (2016).
  41. Hai-lin Cao, Huan Chen, Xiaodong Wu, Yuwei Pi, Junjie Liu, Hang Xu, Xiao-heng Tan, Jianmei Lei, Xian-Hua Han
    Dual-band polarization angle independent 90° polarization rotator using chiral metamaterial
    IEICE Electronic Express 13(15): 20160583 (2016).
  42. Ting Wang, Rui Xu,Xian-Hua Han, Yen-Wei Chen, Yoshitomo Ishizaki, Masaru Miyamoto, Tomohito Hattori
    A principal component analysis based method to automatically inspect wear of throw-away tips
    Journal of Intelligent and Fuzzy Systems 31(2): 903-913 (2016).
  43. Chunhua Dong, Yen-Wei Chen, Amir Hossein Foruzan, Lanfen Lin, Xian-Hua Han, Tomoko Tateyama, Xing Wu, Gang Xu, Huiyan Jiang
    Segmentation of liver and spleen based on computational anatomy models
    Comp. in Bio. and Med. 67: 146-160 (2015).
  44. Chunhua Dong, Yen-Wei Chen, Toshihito Seki, RyosukeInoguchi, Chen-Lun Lin,Xian-Hua Han
    Non-rigid image registration with anatomical structure constraint for assessing locoregional therapy of hepatocellular carcinoma
    Computerized Medical Imaging and Graphics, Vol.45, pp.75-83 (2015-9).
  45. TitinuntKitrungrotsakul, Chunhua Dong, Tomoko Tateyama, Xian-Hua Han, Yen-Wei Chen
    Interactive Segmentation and Visualization System for Medical Images on Mobile Devices
    Adv. Simulat. Sci Eng., Vol.2, No.1, pp.96-107 (2015).
  46. 岩本祐太郎，, 韓先花, 椎野顯彦，陳延偉
    スパース表現と自己相似性を用いた三次元医用画像の超解像処理
    電子情報通信学会誌D,Vol.J98-D,No.10, pp.1312-1324，2015.
  47. Xian-Hua Han, Jian Wang, Gang Xu and Yen-Wei Chen
    High-order Statistics of Micro-Texton for HEp-2 Staining Pattern Classification
    IEEE Transaction on Biomedical Engineering, Vol. 61, No. 8, pp. 2223-2234, 2014. Doi: 10.1109/TBME.2014.2320294.
  48. Xian-Hua Han, Yen-Wei Chen
    Semi-supervised and Interactive Semantic Concept learning for scene Recognition
    Journal of Communication and Information Science, Vol. 3, No. 1, pp. 38-46, 2013.
  49. J.P. Deng, Xian-Hua Han, Y.W. Chen, Gang X. Yoshinobu S, Masatoshi H, Noriyuki T
    Sparse and Low-Rank Matrix Decomposition for Local Morphological Analysis to Diagnose Cirrhosis
    IEICE transactions on information and systems, vol. E97-D, No.12, pp. 3210-3221, 2014. Doi: 10.1587/transinf.2014EDP7180.
  50. Yen-Wei Chen, Jie Luo, ChunHua Dong, Xian-Hua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki Chen
    Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning
    Comp. Math. Methods in Medicine 2013, pp. 1-8. Doi: 10.1155/2013/264809
  51. Yen-Wei Chen, So Sasatani, Xian-Hua Han
    Alignment-Free and High-Frequency Compensation in Face Hallucination
    The Scientific World Journal, Vol. 2014.
  52. 上谷芽衣，健山智子，小原伸哉，田中英俊， 韓先花, 金崎周造，古川顕，陳延偉
    肝臓の統計形状モデル構築と肝硬変症支援診断システムへの応用
    電気学会論文誌 C(電子・情報・システム部門誌)，vol.133 no.11，2037-2043.
  53. Danni Ai, Guifang Duan, Xian-Hua Han, Yen-Wei Chen
    Generalized N-Dimensional Independent Component Analysis and Its Application to Multiple Feature Selection and Fusion for Image Classification
    Neurocomputing, Vol.103, pp.186-197, 2013.
  54. Xian-Hua Han, Yen-Wei Chen
    Subspace Similarity of Local Feature Set using Canonical Correlation Analysis for View-based Object Recognition
    AMT: Advances in Multimedia Technology, Vol. 1, No. 1, pp. 12-20, 2012.
  55. Xian-Hua Han, Yen-Wei Chen
    View-based Object Recognition using ND Tensor Supervised Neighborhood embedding
    IEICE Trans. Inf. & Syst., Vol. E95-D, No. 3, pp.835-843, 2013.
  56. Xian-Hua Han, Yen-Wei Chen, Xiang Ruan
    Multilinear Supervised Neighborhood Embedding of Local Descriptor Tensor for Scene/object Recognition
    IEEE Transaction on Image Processing, Vol. 21, No. 3, pp. 1314-1326, 2012.
  57. 谷口和輝，韓先花，大橋基範，岩本祐太郎，笹谷聡，陳延偉n
    多様体学習法と事例ベース法を融合した超解像度とその高速化
    電気学会論文C，巻:32，号:11，1768-1773，2012.
  58. Xian-Hua Han, Yen-Wei Chen
    Scene and Object Recognition with Supervised Nonlinear Neighborhood Embedding
    International Journal of Innovative Computing Information and Control, Vol.7, No.7, pp. 4861-4870, 2011.
  59. Xian-Hua Han, Yen-Wei Chen
    A robust method based on ICA and mixture sparsity for edge detection in medical images for edge detection in medical images
    Signal Image and Video Processing, Vol. 5, No.1, pp. 39-47, 2011.
  60. Xian-Hua Han, Yen-Wei Chen
    Biomedical Imaging Modality Classification Using Combined Visual Features and Textual Terms
    International Journal of Biomedical Imaging, Vol. 2011.
  61. Xian-Hua Han, Yen-Wei Chen
    Multilinear Supervised Neighborhood Embedding with Local Descriptor Tensor for Face Recognition
    IEICE Trans. Inf. & Syst., Vol.E94-D, No. 1, pp. 158-161, 2011.
  62. Danni Ai, Xian-Hua Han, GuiFang Duan, Xiang Ruan, Yen-Wei Chen
    Global Selection vs Local Ordering of Color SIFT Independent Components for Object/Scene Classification
    IEICE Trans. Inf. & Syst., Vol. E94-D, No. 9, pp.1800-1808. 2011.
  63. 岩本祐太郎，韓先花，健山智子，大橋基範，笹谷聡，陳延偉
    勾配情報に基づくエッジ保存補間と超解像技術への応用
    電気学会論文誌C，Vol.131，No. 11，pp. 1901-1906，2011.
  64. Danni Ai, Xian-Hua Han, Xiang Ruan, Yen-Wei Chen
    Color Independent Components based SIFT Descriptors for Object/Scene Image Classification
    IEICE Trans. Inf. & Syst., Vol. E93-D, No. 9, pp. 2577-2586, 2010.
  65. Xu Qiao, Xian-Hua Han, Takanori Igarashi, Keisuke Nakao, Yen-Wei Chen
    Tensor-based subspace learning and its applications in multi-pose face synthesis
    NEUROCOMPUTING, Vol. 73, Issue 13-15, pp. 2727-2736, 2010.
  66. Xian-Hua Han, Yen-Wei Chen, Jianmei. Lei
    A spatio-chromatic ICA Based noise reduction in color images
    International Journal of Innovative Computing Information and Control, Vol. 4, No.3, pp. 661-669, 2008.
  67. Xian-Hua Han, ShuiYan Dai, Jian Li, GuoRong Xia
    Edge detection algorithm based on ICA-domain shrinkage in noisy images
    Science in China Series F-Information Sciences, Vol.51, No. 9, pp.1349-1359, 2008.
  68. Xian-Hua Han, Zensho Nakao and Yen-Wei Chen
    An ICA-Domain Shrinkage based Poisson-Noise Reduction Algorithm and Its Application to Penumbral Imaging
    IEICE Trans. Inf. & Syst., vol. E88-D, No.4, pp.750-757, Apr. 2005.
  69. Xian-Hua Han, Yen-Wei Chen and Zensho Nakao
    Robust Edge Detection by Independent Component Analysis in Noisy Images
    IEICE Trans. Inf. & Syst., vol. E87-D, no.9, pp.2204-2211, 2004.

解説論文

  1. 韓先花, 中島基輝，陳延偉
    データ駆動型モデルを用いた画像認識
    画像ラボ，巻:26，号:5，日本工業出版，pp. 14-19，2015-05.
  2. 韓先花, 楠本理子，陳延偉
    スパース表現とハイブリッドプーリングを用いた高精度な食事画像認識
    画像ラボ，巻:26，号:6，日本工業出版，pp. 1-7， 2015-06.
  3. 陳延偉，上谷芽衣，健山智子，韓先花,金崎周造，古川顕
    肝臓の統計形状モデル構築と肝硬変症支援診断への応用
    インナービジョン 2016年7月号, 2016, Vol.31, No.7, pp.33-36(2016/07).

著書

  1. Xian-Hua Han
    Hyperspectral Image Super-Resolution Using Optimization and DCNN-Based Methods
    Processing and Analysis of Hyperspectral Data, Jie Chen (Eds), [Online First], IntechOpen, DOI: 10.5772/intechopen.89243. Available from: https://www.intechopen.com/online-first/hyperspectral-image-super-resolution-using-optimization-and-dcnn-based-methods
  2. Xian-Hua Han, Yen-Wei Chen
    Residual Sparse Autoencoders for Unsupervised Feature Learning and Its Application to HEp-2 Cell Staining Pattern Recognition
    Deep Learning in Healthcare, Chapter 11, Yen-Wei Chen and Jain, Lakhmi C. (Eds.), [Online First], Springer, 2020. DOI: 10.1007/978-3-030-32
  3. Weibin Wang, Dong Liang, Qingqing Chen, Yutaro Iwamoto, Xian-Hua Han, Qiaowei Zhang, Hongjie Hu, Lanfen Lin and Yen-Wei Chen
    Medical Image Classification Using Deep Learning
    Deep Learning in Healthcare, Chapter 3, Yen-Wei Chen and Jain, Lakhmi C. (Eds.), [Online First], Springer, 2020. DOI: 10.1007/978-3-030-32606-7_11.
  4. Liying Peng, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Huali Li, Qingqing Chen, Dan Wang,Xian-Hua Han, Yutaro Iwamoto,Yen-Wei Chen, Ruofeng Tong and Jian Wu
    Multi-scale Deep Convolutional Neural Networks for Emphysema Classification and Quantification
    Deep Learning in Healthcare, Chapter 9, Yen-Wei Chen and Jain, Lakhmi C. (Eds.), [Online First], Springer, 2020. DOI: 10.1007/978-3-030-32606-7_11.
  5. 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.
  6. Xian-Hua Han, Yen-Wei Chen
    Sparse Representation for Image Super-Resolution
    Subspace Methods for Pattern Recognition in Intelligent Environment, Chapter 6, Yen-Wei Chen and Lakhmi C. Jain (Ed.), Springer 出版, 2014.
  7. Xian-Hua Han, Yen-Wei Chen
    Adaptive Noise Reduction and Edge Enhancement in Medical Images by using ICA
    Computational Intelligence in Biomedical Imaging, Chapter 13, Suzuki, Kenji (Ed.), Springer 出版, 2013.
  8. Xian-Hua Han, Yen-Wei Chen
    Multilinear Supervised Neighborhood Preserving Embedding　Analysis of Local Descriptor Tensor
    Principal Component Analysis, Chapter 5, Parinya Sanguansat (Ed.), InTech 出版，2012.

国際会議・ワークショップ

  1. Kazuhiro Yamawaki, Xian-Hua Han
    Deep Image and Kernel Prior Learning for Blind Super-Resolution
    MMAsia 2022: 2:1-2:7．
  2. Yuto Nanba, 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 Nanba, 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.
  20. Kohei Yamamichi, Xian-Hua Han
    Multi-scale Residual Aggregation Deraining Network with Spatial Context-aware Pooling and Activation
    BMVC 2021．
  21. 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．
  22. 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．
  23. 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．
  24. 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).
  25. 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．
  26. 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．
  27. 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.
  28. 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) .
  29. 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).
  30. Kohei Yorimoto, Xian-Hua Han
    Deep Residual Attention Network for Hyperspectral Image Reconstruction
    25th International Conference on Pattern Recognition (ICPR) (ICPR 2020).
  31. Kohei Yamamichi, Xian-Hua Han
    MCGKT-Net: Multi-level Context Gating Knowledge Transfer Network for Single Image Deraining
    15th IAsia Conference on Computer Vision (ACCV) (ACCV 2020).
  32. Wenhao Fang, Xian-Hua Han
    Spatial and Channel Attention Modulated Network for Medical Image Segmentation
    15th IAsia Conference on Computer Vision (ACCV 2020): MLCSA2020 Workshop.
  33. Zhe Liu, Yinqiang Zheng, Xian-Hua Han
    Unsupervised Multispectral and Hyperspectral Image Fusion with Deep Spatial and Spectral Priors
    15th IAsia Conference on Computer Vision (ACCV 2020): MLCSA2020 Workshop.
  34. Seiya Fujita, Xian-Hua Han
    Cell Detection and Segmentation in Microscopy Images with Improved Mask R-CNN
    15th IAsia Conference on Computer Vision (ACCV 2020): MLCSA2020 Workshop.
  35. Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu
    UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
    ICASSP 2020: 1055-1059.
  36. Yusuke Yoshinobu, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yen-Wei Chen
    Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images
    ICCE 2020: 1-4
  37. Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu
    WNET: An End-to-End Atlas-Guided and Boundary-Enhanced Network for Medical Image Segmentation
    ISBI 2020: 763-766.
  38. Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu
    UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
    CoRR abs/2004.08790 (2020)
  39. 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.
  40. Xian-Hua Han, Yen-Wei Chen
    Deep Residual Network of Spectral and Spatial Fusion for Hyperspectral Image Super-Resolution
    BigMM 2019: 266-270.
  41. Xian-Hua Han, YongQing Sun, Yen-Wei Chen
    Residual Component Estimating CNN for Image Super-Resolution
    BigMM 2019: 443-447.
  42. 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).
  43. 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.
  44. 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
  45. 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
  46. 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
  47. 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.
  48. 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.
  49. 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.
  50. Xian-Hua Han, Jiande Sun, Lanfen Lin, Yen-Wei Chen
    Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition
    Machine Learning in Medical Imaging (MLMI) 2018.
  51. Minori Uno, Xian-Hua Han, Yen-Wei Chen
    Coprehensive Study of Multiple CNNs Fusion for Fine-Grained Dog Breed Categorization
    The Second IEEE International Workshop on Machine Learning and Computing for Visual Semantic Analysis (MLCSA2018).
  52. Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen, Dan Wang, Xian-Hua Han, Yutaro Iwamoto, Yen-Wei Chen
    Multi-Scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification
    Deep Learning in Medical Image Analysis (DLMIA) 2018.
  53. Liang Dong, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen
    Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-Phase CT Images
    MICCAI2018.
  54. 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.
  55. 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.
  56. Xian-Hua Han, Boxin Shi, YinQiang Zheng
    SSF-CNN: Spatial and Spectral Fusion CNN for Hyperspectral Image Super-Resolution
    ICIP2018.
  57. Xian-Hua Han, Boxin Shi, YinQiang Zheng
    Residual HSRCNN: Residual Hyper-Spectral Reconstruction CNN from a RGB image
    ICPR2018.
  58. 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.
  59. 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).
  60. Weibin WANG, Yutaro IWAMOTO, Xian-Hua Han and Yen-Wei CHEN, Qingqing CHEN, Dong LIANG, Lanfen LIN, Hongjie HU and Qiaowei ZHANG
    Classification of Focal Liver Lesions Using Deep Learning with Fine-tuning
    Proc. of International Conference on Digtal Medicine and Image Processing (DMIP2018), Okinawa, Japan, Nov.12-14, 2018
  61. Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Xian-Hua Han, Yen-Wei Chen
    Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions
    Proc. of The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI2018), Nanjin, China, Aug.28-31, 2018.
  62. Kun Xiong, Takahiro Kitamura, Yutaro Iwamoto, Xian-Hua Han, Naoki Matsushiro, Hiroshi Nishimura and Yen-Wei Chen
    Semi-Automatic Segmentation of Paranasal Sinus from CT images Using Fully Convolutional Networks
    Proc. of 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), Nara, Japan, Oct.9-12, 2018.
  63. Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Xiong Wei and Yen-Wei Chen,
    A 2.5D Cascaded Convolutional Neural Network with Temporal Information for Automatic Mitotic Cell Detection in 4D Microscopic Images
    Proc. of the 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD2018), Huangshan, China, July 28-30, 2018.
  64. Titinunt Kitrungrotsakul，Yutaro Iwamoto, Xian-Hua Han, Xiong Wei, Lanfen Lin, Hongjie Hu, Huiyan Jiang, Yen-Wei Chen
    Interactive Liver Segmentation in CT Volumes Using Fully Convolutional Networks
    Intelligent Interactive Multimedia System and Services (Proc. of IIMSS-18), Eds. G. De Pietro et al., Springer, pp.216-222, 2018 (Gold Coast, Australia, June 20-22, 2018). DOI: 10.1007/978-3-319-92231-7_22
  65. 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.
  66. 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.
  67. 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).
  68. 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).
  69. 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), Accepted.
  70. 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).
  71. 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).
  72. 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).
  73. Xian-Hua Han, Jianmei Lei, Yen-Wei Chen
    HEp-2 Cell Classification Using K-Support Spatial Pooling in Deep CNNs
    LABELS/DLMIA@MICCAI 2016, pp: 3-11, 2016.
    74. 　　
  74. Xian-Hua Han, Jian Wang, Yuu Konno, Yen-Wei Chen
    Bayesian Saliency Model for Focal Liver Lesion Enhancement and Detection
    ACCV Workshops (3) 2016: 32-45.
    75. 　　　
  75. Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, Jian Wang, Xian-Hua Han, Yen-Wei Chen
    Bag of Temporal Co-occurrence Words for Retrieval of Focal Liver Lesions Using 3D Multiphase Contrast-enhanced CT Images
    23rd International Conference on Pattern Recognition (ICPR2016), Cancun, Mexico, Dec.4-8, 2016.
  76. Yu Konno, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yitao Liu, Wenchao Zhu, Yen-Wei Chen
    Bayesian Model for Liver Tumor Enhancement
    Innovation in Medicine and Healthcare 2016, Eds. Yen-Wei Chen et al., Springer, pp.227-235, 2016 (Tenerif, Spain, June.15-17, 2016).
  77. Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen
    Patch-based codebook model for focal liver lesions retrieval of multiphase medical volumes
    Int. J. CARS, Vol.11, Suppl. S12-S13, 2016 (Heidelberg, Germany, June 21-25, 2016).
  78. Shota Sasano, Xian-Hua Han, Yen-Wei Chen
    Food recognition by combined bags of color features and texture features
    CISP-BMEI 2016: 815-819.
    79. 　　
  79. Katsuhisa Ogawa, Yuri Yamaguchi, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen
    SIFT-based multi-frame super resolution for 250 million pixel images
    CISP-BMEI 2016:　834-837.
    80. 　　　
  80. Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, Jian Wang, Xian-Hua Han, Yen-Wei Chen
    A retrieval system for 3D multi-phase contrast-enhanced CT images of focal liver lesions based on combined bags of visual words and texture words
    CISP-BMEI 2016:806-810.
    81. 　　　
  81. Yutaro Iwamoto, Xian-Hua Han, Akihiko Shiino, Yen-Wei Chen
    Super-resolution of 3D MR images and its application to brain segmentation
    CISP-BMEI 2016: 838-841.
  82. Chunhua Dong, Yen-Wei Chen, Amir Hossein Foruzan, Xian-Hua Han, Tomoko Tateyama, Xing Wu
    A framework for probabilistic atlas-based organ segmentation
    Medical Imaging: Image Processing 2016: 97842X.
    83. 　　
  83. Sihai Yang, Duansheng Chen, Xian-Hua Han, Yen-Wei Chen
    A novel and fast connected component count algorithm based on graph theory
    SNPD 2016: 643-647.
    84. 　　　
  84. Xian-Hua Han, Yen-Wei Chen, Gang Xu
    HEp-2 Staining Pattern Recognition Using Stacked Fisher Network for Encoding Weber Local Descriptor
    Machine Learning in Medical Imaging, Volume 9352 of the series Lecture Notes in Computer Science, pp: 85-93, 2015.
  85. Xian-Hua Han, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa and Yen-Wei Chen
    Nuclear Detection in 4D Microscope Images of Developing Embryo Using Enhanced Probability Map of Top-ranked Intensity-ordered Descriptors
    3rd Asian Conference on Pattern Recognition (ACPR2015), Kuala Lumpur, Malaysia, Nov.3-6, 2015 (Oral Presentation).
    86. 　　
  86. Xian-Hua Han, Yen-Wei Chen and Gang Xu
    Co-occurrence Context of the data-driven Quantized Local Ternary Patterns for Visual Recognition
    3rd Asian Conference on Pattern Recognition (ACPR2015), Kuala Lumpur, Malaysia, Nov.3-6, 2015 (Oral Presentation).
    87. 　　
  87. Misae Nakatsu, Xian-Hua Han, Ryosuke Kimura and Yen-Wei Chen
    Discriminant Statistical Analysis of Local Facial Geometrical Regions
    3rd Asian Conference on Pattern Recognition (ACPR2015), Kuala Lumpur, Malaysia, Nov.3-6, 2015.
    88. 　　　
  88. Yingying Xu, Lanfen Lin, Hongjie Hu, Huajun Yu, Chongwu Jin, Jian Wang, Xian-Hua Han, Yen-Wei Chen
    Combined Density, Texture and Shape Features of Multi-Phase Contrast-Enhanced CT Images for CBIR of Focal Liver Lesions: A Preliminary Study
    Innovation in Medicine and Healthcare 2015, 2015 (Kyoto, Japan, Sep.11-12, 2015).
    89. 　
  89. Titinunt Kitrungrotsakul, Xian-Hua Han, Yen-Wei Chen
    Liver Segmentation Using Superpixel-Based Graph Cuts and Regions of Shape Constraints
    IEEE International Conference on Image Processing (ICIP2015), Quebec, Canada, Sep.27-30, 2015 (Oral Presentation).
    90. 　　　
  90. Qiaochu Zhao, Xian-Hua Han, Yen-Wei Chen
    A Robust Registration Method using Huber ICP and Low Rank and Sparse Decomposition
    Asia-Pacific Signal and Information Processing Association annual summit and conference (APSIPA ASC2015), Hongkong, Dec.15-19, 2015.
  91. Titinunt Kitrungrotsakul, Yen-Wei Chen, Xian-Hua Han, Lanfen Lin
    Supervoxels based Graph Cut for Medical Organ Segmentation
    The 9th IFAC Symposium on Biological and Medical Systems, Berlin, Germany, Aug. 31-Sep.2, 2015. (pp.70-75).
  92. Yuto Kondo, Xian-Hua Han, Yan-Wei Chen
    Two-Step Learning Based Super Resolution and Its Application to 3D Medical Volumes
    2015 IEEE 4th Global Conference on Consumer Electronics, Osaka, Japan, Oct.27-30, 2015.
    93. 　　　
  93. Chunhua Dong, Yen-Wei Chen, Lanfen Lin, Hongjie Hu, Chongwu Jin,Huajun Yu, Tomoko Tateyama, Xian-Hua Han
    A Knowledge-based Interactive Liver Segmentation using Random Walks
    The 2015 11th International Conference on Natural Computation (ICNC'15) and the 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'15) , Zhangjiajie, China, Aug.15-17, 2015.
  94. Ting Wang, Xian-Hua Han, Rui Xu, Yen-Wei Chen, Yoshitomo Ishizaki, Masaru Miyamoto, Tomohito Hattori
    Automatic Inspection of Throw-Away Tips Based on Principal Component Analysis
    The 2015 11th International Conference on Natural Computation (ICNC'15) and the 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'15) , Zhangjiajie, China, Aug.15-17, 201.
  95. Yen-Wei Chen, Dingye Chen, Xian-Hua Han, Xinyin Huang
    Generic and Specific Impression Estimation of Clothing Fabric Images Based on Machine Learning
    The 2015 11th International Conference on Natural Computation (ICNC'15) and the 2015 12th International Conference on Fuzzy Sys 　　　 　　　　　
  96. Xian-Hua Han, Gang Xu, Yen-Wei Chen
    Data-Driven Quantized Micro-Structures for HEp-2 Staining Pattern Recognition
    CARS2014, Fukuoka, Japan, Int J CARS (2014) 9 (Suppl 1): S103?S115.
    97. 　　　
  97. Xian-Hua Han, Yen-Wei Chen
    Fisher Vector of Micro-Texton for HEp-2 Staining Pattern Classification
    The IFAC2014, Cape Town, South Africa, pp. 3575-3580.
    98. 　　　
  98. Xian-Hua Han, Yen-Wei Chen and Gang Xu
    Bayesian based Saliency Model for Liver Tumor Enhancement
    2014 KES Smart Digit Future, Chania, Greece. (2014.6).
    99. 　　　
  99. Xian-Hua Han, Yutaro Iwamoto, Akihiko Shino and Yen-Wei Chen
    Robust Isotropic Super-Resolution by maximizing a Laplace posterior for MRI Volumes
    2014 SPIE Medical Imaging, San Diego, USA, (2014.2).
    100. 　　　
  100. JunPing Deng, Xian-Hua Han, Yen-Wei Chen
    Sparse and Low Rank Matrix Decomposition Based Local Morphological Analysis and Its Application to Diagnosis of Cirrhosis Livers
    ICPR2014, Stockholm, pp. 3363-3368.
    101. 　　　
  101. Riko Kusumoto, Xian-Hua Han, Yen-Wei Chen
    Hybrid Aggregation of Sparse Coded Descriptors for Food Recognition
    ICPR2014, Stockholm, pp. 1490-1495.
    102. 　　　
  102. JunPing Deng, Xian-Hua Han, Gang Xu, Yen-Wei Chen
    Sparse and Low-Rank Matrix Decomposition for Robust Medical Image Registration
    CARS2014, Fukuoka, Japan, Int J CARS (2014) 9 (Suppl 1).
    103. 　　　
  103. Jie Luo, Yen-Wei Chen, Xian-Hua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki
    Pilot study of applying shape analysis to liver cirrhosis diagnosis
    ICIP 2013: 3537-3541.
    104. 　　　
  104. Xian-Hua Han, Gang Xu, Yen-Wei Chen
    Robust local ternary patterns for texture categorization
    BMEI 2013: 846-850.
    105. 　　　
  105. Xian-Hua Han, Yen-Wei Chen
    Sparse dictionary representation and propagation for MRI volume super-resolution
    SPIE2013 Image Processing: 8669-96.
    106. 　　　
  106. JunPing Deng, Rui Xu, Xian-Hua Han, Yen-Wei Chen
    Generalized N-Dimensional PCA for Compact Representation of Medical Volumes and Effective Mode Selection by Adaboost
    PCM 2013: 629-636.
    107. 　　
  107. Minami Wazumi, Xian-Hua Han, Yen-Wei Chen
    Food recognition using Codebook-based model with sparse-coding
    SII 2013: 482-485.
    108. 　　
  108. Xinyin Huang, Dingye Chen, Xian-Hua Han, Yen-Wei Chen
    Global and local features for accurate impression estimation of cloth fabric images
    SII 2013: 486-489.
    109. 　　
  109. Yen-Wei Chen, Jie Luo, Xian-Hua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasak
    A Morphologic Analysis of Cirrhotic Liver in CT Images
    ICIAR 2013: 494-501.
    110. 　
  110. Yen-Wei Chen, So Sasatani, Xian-Hua Han
    Residual Image Compensations for Enhancement of High-Frequency Components in Face Hallucination
    ISNN (1) 2013: 627-634.
    111. 　　　
  111. Xian-Hua Han, Xu Qiao, Yen-Wei Chen
    Group sparse representation of adaptive sub-domain selection for image classification
    ICPR 2012: 1431-1434.
    112. 　　　
  112. Xian-Hua Han, Yen-Wei Chen
    Face Recognition Using Multilinear Manifold Analysis of Local Descriptors
    SSPR/SPR 2012: 734-742.
    113. 　
  113. Danni Ai, Guifang Duan, Xian-Hua Han, Yen-Wei Chen
    Multiple feature selection and fusion based on generalized N-dimensional independent component analysis
    ICPR 2012: 971-974.
    114. 　
  114. Kazuki Taniguchi, Xian-Hua Han, Yutaro Iwamoto, So Sasatani, Yen-Wei Chen
    Image super-resolution based on locality-constrained linear coding
    ICPR 2012: 1948-1951.
    115. 　
  115. Yutaro Iwamoto, Xian-Hua Han, So Sasatani, Kazuki Taniguchi, Wei Xiong, Yen-Wei Chen
    Super-resolution of MR volumetric images using sparse representation and self-similarity
    ICPR 2012: 3758-3761.
    116. 　
  116. Xian-Hua Han, Yen-Wei Chen, Xiang Ruan
    Canonical correlation analysis of local feature set for view-based object recognition
    ICIP 2011: 3601-3604.
    117. 　
  117. Xian-Hua Han, Yen-Wei Chen, Xiang Ruan
    Multi-class Co-training Learning for Object and Scene Recognition
    MVA 2011: 67-70.
    118. 　
  118. So Sasatani, Xian-Hua Han, Takanori Igarashi, Motonori Ohashi, Yutaro Iwamoto, Yen-Wei Chen
    High frequency compensated face hallucination
    ICIP 2011: 1529-1532.
    119. 　
  119. Jingbin Li, Chunhua Dong, Xian-Hua Han, Yen-Wei Chen
    Robust Multiple Watermarks for Medical Image Based on DWT and DFT
    Proc. Of CIMSE2011 workshop on ICCIT2011, 2011.
    120. 　
  120. Xian-Hua Han, Yen-Wei Chen, Xiang Ruan
    Multilinear Tensor Supervised Neighborhood Embedding Analysis for View-based object recognition
    Lecture Notes in Computer Science, Springer, Lecture notes in Computer Science(PCM2010), Vol. 6297/ 2010, pp. 236-247, 2010.
    121. 　
  121. Xian-Hua Han, Yen-Wei Chen, Xiang Ruan
    Image Categorization by Learned nonlinear subspace of combined visual-words and low-level features
    ICPR2010, pp.3037-3040, Istanbul, 2010.
    122. 　
  122. Xian-Hua Han, Yen-Wei Chen, Xiang Ruan
    Semi-supervised and Interactive Semantic Concept Learning for Scene Recognition
    ICPR2010, pp.3045-3048, Istanbul, 2010.
    123. 　
  123. Xian-Hua Han, Yen-Wei Chen, Xiang Ruan
    Image Recognition by Learned linear subspace of combined bag-of-features and low-level features
    ICIP 2010, pp.1049-1053, Hong Kong, 2010.
    124. その他40件以上

国内会議・研究報告(2017~)

  1. 高部 巧, 韓先花
    任意の物理マスクに対応可能な深層ハイパースペクトル再構成モデル
    2023年電子情報通信学会総合大会，D-20-1, 2023.3.7-10.
  2. 多田晟人, 韓先花
    ボトルネック転置トランスフォーマーを用いた皮膚病変画像分類モデルの精度向上
    2023年電子情報通信学会総合大会，D-20-2, 2023.3.7-10.
  3. 山脇 一浩, 韓先花
    画像と劣化カーネルPriorの共同学習による超解像度
    ビジョン技術の実利用ワークショップ（ViEW022)，IS3-01, 2022.12.8-9.
  4. 森田 匠, 韓先花
    自己教師あり学習による皮膚病変画像分類の精度向上
    ビジョン技術の実利用ワークショップ（ViEW022)，IS3-06, 2022.12.8-9.
  5. 原田 翔, 韓先花
    マルチスケール特徴統合を導入したCenterNetによる小麦の穂の検出
    ビジョン技術の実利用ワークショップ（ViEW022)，IS4-04, 2022.12.8-9.
  6. 難波 優駿, 韓先花
    Multi-scale Channel Transformer Networkを用いた単一画像の雨除去
    第21回情報科学技術フォーラム（FIT2022)，H-027, 2022.9.13-15.
  7. 難波 優駿, 宮田 光, 韓先花
    デュアルブランチ相互補完ネットワークを用いた単一画像の雨除去
    第25回 画像の認識・理解シンポジウム (MIRU2022)，IS1-46, 2022.7.27-30.
  8. 山脇 一浩, 韓先花, 孫 泳青, 坂東 幸浩, 北原 正樹
    デュアル深層内部学習によるハイパースペク トル画像超解像度
    第25回 画像の認識・理解シンポジウム (MIRU2022)，IS2-41, 2022.7.27-30.
  9. Zhe Liu, Xian-Hua Han
    Deep Unsupervised Blind Hyperspectral Image Super-resolution
    第25回 画像の認識・理解シンポジウム (MIRU2022)，IS2-42, 2022.7.25-28.
  10. 井上源太, 韓先花
    Attention機構を導入したCenterNetによる小麦の穂の検出
    2022年電子情報通信学会総合大会，D-12-37, 2022.3.15-18.
  11. 保翔翔希, 韓先花
    空間領域とスペクトル領域における勾配を利用した深層融合ネットワークによるハイパースペクトル画像の超解像度
    2022年電子情報通信学会総合大会，D-12-39, 2022.3.15-18.
  12. 山道航平, 韓先花
    軽量マルチスケール残差ネットワークを用いた画像の雨除去
    ビジョン技術の実利用ワークショップ (ViEW2021)，IS4-02, 2021.12.2-3.
  13. 寄元康平, 韓先花
    RGB学習補助タスクによるハイパースペクトル画像の再構成
    ビジョン技術の実利用ワークショップ (ViEW2021)，IIS2-09, 2021.12.2-3.
  14. 中井克啓, 韓先花
    DenseNetとBottleneck Transformerの融合モデルによる皮膚画像の病変分類
    ビジョン技術の実利用ワークショップ (ViEW2021)，IS2-11, 2021.12.2-3.
  15. 山脇 一浩, 韓先花
    ぼかしカーネルの自動的選択学習によるブラインド画像超解像
    ビジョン技術の実利用ワークショップ (ViEW2021)，IS3-10, 2021.12.2-3.
  16. Zhe Liu, Xian-Hua Han
    Deep RGB-guided Generative Network for Hyperspectral Image Super-resolution
    ビジョン技術の実利用ワークショップ (ViEW2021)，IS2-04, 2021.12.2-3.
  17. 山道航平, 韓先花
    深層マルチスケール残差ネットワークを用いた単一画像の雨除去
    第24回 画像の認識・理解シンポジウム (MIRU2021)，I32-05, 2021.7.27-30.
  18. 寄元康平, 韓先花
    フェイク特徴生成ネットワークによる軽量かつ高精度なハイパースペクトル画像の再構成
    第24回 画像の認識・理解シンポジウム (MIRU2021)，I32-30, 2021.7.27-30.
  19. 中井克啓, 韓先花
    BAMCL : 双方向角度マージン損失を用いた 深層学習モデルによる肝硬変ステージ分類
    第24回 画像の認識・理解シンポジウム (MIRU2021)，I21-29, 2021.7.27-30.
  20. 山脇 一浩, 韓先花
    ゼロショット学習による単一画像ブラインド超解像
    第24回 画像の認識・理解シンポジウム (MIRU2021)，I22-37, 2021.7.27-30.
  21. Zhe Liu, Xian-Hua Han
    Deep Internal Learning for Hyperspectral Image Super-resolution
    第24回 画像の認識・理解シンポジウム (MIRU2021)，I32-03, 2021.7.27-30.
  22. 山脇 一浩, 韓先花
    深層教師なし学習ネットワークを用いた単一画像の超解像
    人工知能学会全国大会，3I4-GS-7a-05, 2021.6.10.
  23. 中井 克啓, 韓先花
    距離学習を導入した深層学習ネットワークによる肝硬変状態分類の検討
    人工知能学会全国大会，4C4-OS-1b-03, 2021.6.11.
  24. Xinren Zhang, 岩本祐太郎, Jingliang Cheng, Jie Bai, Guohua Zhao, 韓先花, 陳 延偉
    Modality-self Attentioonを用いた脳膠腫IDH遺伝子変異予測
    日本生体医工学会生体画像と医用人工知能研究会, 2021.3.10.
  25. He Li，岩本祐太郎, 韓先花, 陳延偉
    高効率かつ高精度な三次元ボリューム画像のセグメンテーション法
    日本生体医工学会生体画像と医用人工知能研究会, 2021.3.10.
  26. Weibin Wang, Qingqing Chen, Risheng Deng, Fang Wang, 岩本祐太郎, 韓先花, Lanfen Lin, 陳延偉
    Radiomicsと深層学習を用いたMR画像における肝臓癌の血管浸潤予測
    日本生体医工学会生体画像と医用人工知能研究会, 2021.3.10.
  27. 山脇 一浩, 韓先花
    回帰型フィードバックCNNを用いた画像超解像度
    Vision Engineering Workshop 2020, ビジョン技術の実利用ワークショップ, 2020年12月3日-4日.
  28. 藤田世哉, 韓先花
    Mask R-CNNを用いた細胞核の検出とセグメンテーション
    2020年度（第71回）電気・情報関連学会中国支部連合大会プログラム, 2020年10月24日.
  29. 寄元康平, 韓先花
    Spatial-Spectral損失ネットワークを用いたハイパースペクトル画像の再構成
    2020年度（第71回）電気・情報関連学会中国支部連合大会プログラム, 2020年10月24日.
  30. 寄元康平, 韓先花
    深層Residual Attention ネットワークを用いたスナップショット撮影からハイパースペクトル画像の復元
    第19回情報科学技術フォーラム(FIT2020), H-006, 2020年9月1日〜3日. (FIT奨励賞)
  31. 山道航平, 韓先花
    Deep Attention ConvLSTM-UNetを用いた画像の降雨ノイズ除去
    第19回情報科学技術フォーラム(FIT2020), H-028, 2020年9月1日〜3日. (FIT奨励賞)
  32. 寄元康平, 韓先花
    注目領域の自動学習ネットワークによる画像キャプションの自動生成
    第23回 画像の認識・理解シンポジウム (MIRU2020), 2020年8月3日〜5日.
  33. Zhe Liu, Xian-Hua Han
    Multispectral and Hyperspectral Image Fusion with Deep Learned Prior
    第23回 画像の認識・理解シンポジウム (MIRU2020), 2020年8月3日〜5日.
  34. 方文昊, 韓先花
    Deeply Supervised ConvLSTM-Unetによる医療用画像の分割
    第23回 画像の認識・理解シンポジウム (MIRU2020), 2020年8月3日〜5日.
  35. 吉武大輝, 韓先花
    段階的逆投影ネットワークによるハイパースペクトル画像の高解像度化
    第23回 画像の認識・理解シンポジウム (MIRU2020), 2020年8月3日〜5日.
  36. 山道航平, 韓先花
    知覚損失学習を用いた単一画像の雨筋除去
    第23回 画像の認識・理解シンポジウム (MIRU2020), 2020年8月3日〜5日.
  37. Weibin Wang, Qingqing Chen, Fang Wang, Yutaro Iwamoto, Xianhua Han, Hongjie Hu, Lanfen Lin, Yen-Wei Chen
    Prediction of microvascular invasion in hepatocellular carcinoma based on radiomics method using MRI
    電子情報通信学会医用画像研究会, MI2020-22, 2020.9.3.
  38. Haohua Dong,Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiujun Cai, Yen-Wei Chen
    Case Discrimination: Self-supervised Learning for classification of Medical Image
    電子情報通信学会パターン認識・メディア理解研究会, PRMU2020-64, 2020.12.17-18.
  39. 寄元康平, 韓先花
    画像のCNN特徴とLSTMのデンス結合構造を用いた画像キャプションの生成
    2020年電子情報通信学会総合大会, D-12-42, 2020年3月17日〜20日.
  40. 山道航平, 韓先花
    深層知覚損失ネットワークを用いた画像の降雨ノイズ除去
    2020年電子情報通信学会総合大会, D-12-59, 2020年3月17日〜20日.
  41. 中井克啓, 韓　先花
    改良したSSDを用いた航空写真からsmall scare物体の検出と分類
    2020年電子情報通信学会総合大会, D-12-61, 2020年3月17日〜20日.
  42. 藤田 世哉, 韓 先花
    Mask R-CNNを用いた細胞核の検出とセグメンテーション
    2020年電子情報通信学会総合大会, A-15-5, 2020年3月17日〜20日
  43. 方　文昊, 韓　先花
    Deep supervision U-netとconvLSTMの統合による医療画像の分割
    2020年電子情報通信学会総合大会, A-15-6, 2020年3月17日〜20日
  44. Xianhua HAN, Hiroki Yoshitake, Yen-Wei Chen
    Hyperspectral Residual Component Reconstruction with Deep ResNet
    第22回 画像の認識・理解シンポジウム (MIRU2019), 2019年.
  45. 吉武 大輝, 韓 先花
    敵対的生成ネットワークを用いたハイパースペクトル画像の高解像度化
    第22回 画像の認識・理解シンポジウム (MIRU2019), 2019年.
  46. 藤田 世哉, 韓 先花
    Region CNNを用いた細胞核の検出
    第22回 画像の認識・理解シンポジウム (MIRU2019), 2019年.
  47. Weibin WANG, Dong LIANG, Lanfen LIN, Hongjie HU, Qiaowei ZHANG, Qingqing CHEN, Yutaro IWAMOTO, Xianhua HAN, Yen-Wei CHEN
    Computer-Aided Diagnosis of Liver Cancers Using Deep Learning with Fine-tuning
    電子情報通信学会PRMU研究会, 福岡工業大学, 2018.9.20-21.
  48. 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.
  49. 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).
  50. 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).
  51. 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).
  52. 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).
    53. 　　　　

    その他：
    100件以上