J-GLOBAL ID:201301094752852150   Update date: Nov. 20, 2019

HAN Xian hua

ハン シェン ファー | HAN Xian hua
Affiliation and department:
Homepage URL  (1): http://mlp.sci.yamaguchi-u.ac.jp/Han/index.html
Research field  (2): Perceptual information processing ,  Intelligent informatics
Research keywords  (1): 機械学習、パターン認識、超解像度技術、画像理解?認識、コンピュタービジョン
Papers (142):
  • 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. Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part VI. 2019. 148-156
  • Xiao Chen,Lanfen Lin,Hongjie Hu,Qiaowei Zhang,Yutaro Iwamoto,Xianhua Han,Yen-Wei Chen,Ruofeng Tong,Jian Wu. A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images. Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China. 2019. 129-138
  • Weibin Wang,Qingqing Chen,Yutaro Iwamoto,Xianhua 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. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, July 23-27, 2019. 2019. 4881-4884
  • Liying Peng,Yen-Wei Chen,Lanfen Lin,Hongjie Hu,Huali Li,Qingqing Chen,Xiaoli Ling,Dan Wang,Xianhua Han,Yutaro Iwamoto. Classification and Quantification of Emphysema Using a Multi-Scale Residual Network. IEEE J. Biomedical and Health Informatics. 2019. 23. 6. 2526-2536
  • Titinunt Kitrungrotsakul,Xian-Hua Han,Yutaro Iwamoto,Lanfen Lin,Amir Hossein Foruzan,Wei Xiong 0001,Yen-Wei Chen. VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation. Comp. Med. Imag. and Graph. 2019. 75. 74-83
Books (3):
  • Multilinear Supervised Neighborhood Preserving Embedding Analysis of Local Descriptor Tensor?Principal Component Analysis
    INTECH 2012 ISBN:978-953-51-0195-6
  • Adaptive Noise Reduction and Edge Enhancement in Medical Images by using ICA?Computational Intelligence in Biomedical Imaging
    Springer 2013 ISBN:978-1461472445
  • Subspace Methods for Pattern Recognition in Intelligent Environment・Sparse Representation for Image Super-Resolution
    Springer 2014 ISBN:978-3-642-54850-5
Lectures and oral presentations  (40):
  • 正規化スパース性制約を用いたぼけカーネル推定および動画像復元への応用
    (信学技報, vol. 115, no. 24, PRMU2015-1)
  • Robust Blood Vessel of Liver Extraction Using Deep Convolution Network
    (信学技報, vol. 116, no. 225, MI2016-48)
  • Multi-touch Based Medical Interactive Visualization System
    (信学技報, vol. 114, no. 41, PRMU2014-7 2014)
  • Generalized Super-Vectorを用いた一般画像分類
    (信学技報, vol. 114, no. 41, PRMU2014-21 2014)
  • ノンパラメトリック確率モデルを用いたCT画像からの腫瘍候補の検出
    (信学技報, vol. 114, no. 41, PRMU2014-14 2014)
Education (3):
  • - 1999 中国重慶大学
  • - 2002 中国山東大学大学院
  • - 2005 琉球大学大学院
Work history (2):
  • 2016/04 - 2017/02 AIST Senior Researcher
  • 2017/03 - 現在 Yamaguchi University Associate Professor
Awards (1):
  • 2012/05 - 日本私立学校振興・共済事業団 学術研究振興基金(若手研究者奨励金)
Association Membership(s) (2):
電子情報通信学会 ,  IEEE
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