発表論文

学術論文誌

著書

2017～現在

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: 10.1007/978-3-030-32606-7_11.

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.

国際会議・ワークショップ・シンポジウム

2023

1. Yuto Numba, Jiande Sun, Xian-Hua Han
   COUPLING SPATIAL AND CHANNEL TRANSFORMER FOR SINGLE IMAGE DERAINING
   ICIP 2023: ??-??．

2. Sho Harada, Xian-Hua Han
   Coarse-to-Fine Pyramid Feature Mining for Wheat Head Detection
   ICIP2023: ??-??．

3. Sho Harada, Xian-Hua Han
   A Hybrid Wheat Head Detection model with Incorporated CNN and Transformer
   MVA 2023: 1-5．

4. Takumi Morita,  Xian-Hua Han
   Investigating self-supervised learning for Skin Lesion Classification
   MVA 2023: 1-5．

5. Masato Tada, Xian-Hua Han
   Bottleneck Transformer model with Channel Self-Attention for skin lesion classification  
   MVA 2023: 1-5．

6. Kazuhiro Yamawaki, Xian-Hua Han
   Local to global prior Learning for blind Unsupervised Image super Resolution   
   ICASSP 2023．

7. Tetsuo Inoshita, Yuto Namba, Yuichi Nakatani, Kenta Ishihara, Sachio Iwasaki, Kosuke Moriwaki,  Xian-Hua Han
   Exploring Cross Modality Feature Fusion for Activity Recognition at OpenPack Challenge 2022   
   PerCom Workshops 2023: 262-263 ．

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 Namba, 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 Namba, 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. 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．

6. 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．

7. 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).

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, 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.

2. Xian-Hua Han, Yen-Wei Chen
   Deep Residual Network of Spectral and Spatial Fusion for Hyperspectral Image Super-Resolution
   BigMM 2019: 266-270.

3. Xian-Hua Han, YongQing Sun, Yen-Wei Chen
   Residual Component Estimating CNN for Image Super-Resolution
   BigMM 2019: 443-447.

4. 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).

5. 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.

6. 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

7. 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

8. 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

9. 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.

10. 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.

11. 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).

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).

~2017

  100件程度

国内会議・研究報告

2022

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.

2021

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. 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.

14. 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.

15. 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.

2020

1. 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.

2. 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.

3. 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.

4.  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)

5.  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)

6. 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.

7.  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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. 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.

14. 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.

15. 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.

16. 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

17. 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

2017~2019

1.  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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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).

7. 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).

8. 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).

9. 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).

10. 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.

～2017

　100件以上