Research Projects（2017～）

　　　　　　　　　　
  1. Xian-Hua Han，YinQiang Zheng, Computational Photograph ⅱ. Open Collaborative Research at National Institute of Informatics, Japan, 2018.4~2019.3.
    2. 　　　　　　　　　　　
  2. Xian-Hua Han (Principle Investigator): Grant-in-Aid for Scientific Research (C)：Image Representation and Understand based on human's perception principle and deep statistical Analysis, 2015.4~2018.3..
    3. 　　　　　　　　　　　
  3. Xian-Hua Han，Boxin Shi, YinQiang Zheng, Computational Photograph. Open Collaborative Research at National Institute of Informatics, Japan, 2017.4~2018.3.

Publication List（2017～）

Journal Papers

2022

  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. )

2021

  1. 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)
  2. Kazuhiro Yamawaki, YongQing Sun, Xian-Hua Han:
    Blind Image Super Resolution using Deep Un-supervised Learning
    Electronics, 2021.
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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).

2020

  1. 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).
  2. 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).
  3. 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)
  4. 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)
  5. 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).
  6. 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)

2019

  1. 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, (2020) in press. (SCI, Impact factor: 3.302)
  2. 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, 23(6): 2526-2536 (2019). (SCI, Impact factor: 3.85)
  3. 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)
  4. 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)
  5. 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).

2018

  1. Xian-Hua Han, Boxin Shi, YinQiang Zheng
  2. 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).
  3. 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).
  4. 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).
  5. 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, 2018.
  6. 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).
  7. 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).
  8. 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.

Books

2017～

  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.

International Conference Papers

2022

    2022

    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.

    2021

    1. Kohei Yamamichi, Xian-Hua Han
      Multi-scale Residual Aggregation Deraining Network with Spatial Context-aware Pooling and Activation
      BMVC 2021．
    2. 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．
    3. 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．
    4. 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．
    5. 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).
    6. 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．
    7. 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．
    8. 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.
    9. 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) .
    10. 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) .

    2020

    1. Kohei Yorimoto, Xian-Hua Han
      Deep Residual Attention Network for Hyperspectral Image Reconstruction
      25th International Conference on Pattern Recognition (ICPR) (ICPR 2020).
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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
    8. 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.
    9. 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)

    2019

    1. Xian-Hua Han, Yen-Wei Chen
      Deep Residual Network of Spectral and Spatial Fusion for Hyperspectral Image Super-Resolution
      BigMM 2019: 266-270.
    2. Xian-Hua Han, YongQing Sun, Yen-Wei Chen
      Residual Component Estimating CNN for Image Super-Resolution
      BigMM 2019: 443-447.
    3. 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).
    4. 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.
    5. 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
    6. 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
    7. 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
    8. 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.
    9. 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.
    10. 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.

    2018

    1. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Xian-Hua Han, Boxin Shi, YinQiang Zheng
      SSF-CNN: Spatial and Spectral Fusion CNN for Hyperspectral Image Super-Resolution
      ICIP2018.
    8. Xian-Hua Han, Boxin Shi, YinQiang Zheng
      Residual HSRCNN: Residual Hyper-Spectral Reconstruction CNN from a RGB image
      ICPR2018.
    9. 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.
    10. 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).
    11. 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
    12. 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.
    13. 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.
    14. 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.
    15. 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

    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), Accepted.
    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).

    National Conference

    2017

    1. Xian-Hua Han, Boxin Shi, Yinqiang Zheng, Toru Kouyama, Atsunori Kanemura, Ryosuke Nakamura
      Robust Hyperspectral Image Super-Resolution via Constrained Non-negative Sparse Representation
      MIRU2017.
    2. Xian-Hua Han, Yen-Wei Chen
      HEp-2 Staining Pattern Recognition with Sparse Auto-Encoder
      JAMIT2017.
    3. 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
      JAMIT2017.
    4. Titinunt KITRUNGROTSAKUL,Xian-Hua Han, Yutaro Iwamoto, and Yen-Wei Chen
      Automatic Vessel Segmentation Using A combined Deep Network
      JAMIT2017.