発表論文データベース
発表論文データベース
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学術論文誌
学術論文誌
2025
Xian-Hua Han:
High-Generalized Unfolding Model With Coupled Spatial-Spectral Transformer for Hyperspectral Image Reconstruction
IEEE Trans. Computational Imaging 11: 625-637 (2025)Xian-Hua Han, Zhe Liu:
Deep RGB-guided generative network for unsupervised hyperspectral image super-resolution
Appl. Intell. 55(8): 717 (2025) .Quanyu E, Huiyan Jiang, Guoyu Tong, Xianhua Han:
Hierarchical multiscale feature fusion spectral transformer for the generation of medical hyperspectral image
Applied Soft Computing, Volume 183, November 2025, 113632.Quanyu E, Huiyan Jiang, Guoyu Tong, Zhaoshuo Diao, Xianhua Han, Zhimin Liu:
A Dual-Branch Pathology-Prior Attention Mechanism Based on Swin Transformer for the Classification of p16/Ki-67 Dual-Staining Cervical Pathological Cytology Images
Biomedical Signal Processing and Control. (Accepted）Zhihuai Hu, Rihito Kojima , Xianhua Han:
Multi-scale Attention-driven Hierarchical Learning for Fine-Grained Visual Categorization
Electronics 2025, 14(14), 2869; https://doi.org/10.3390/electronics14142869Ekei Harimoto, Xian-Hua Han:
CenterFormer: Coupling CenterNet and Vision Transformer for Accurate Wheat Head Detection
Journal of Image and Graphics. (Accepted）H Li, Y Iwamoto, Xian-Hua Han, L Lin, R Tong, H Hu, S Kanasaki, YW Chen:
Weakly-Supervised Liver Lesion Detection in CT Images Using Adversarial Networks
IEEE Transactions on Emerging Topics in Computational Intelligence .Xian-Hua Han, Jian Wang, Huiyan Jiang:
Recent Advancements in Hyperspectral Image Reconstruction from a Compressive Measurement
Sensors (Basel, Switzerland) 25 (11), 3286 .X Li, Xian-Hua Han, Y Sun:
Using SDPC for Visual Exploratory Analysis of Semiconductor Production Line Sensor Data
Sensors (Basel, Switzerland) 25 (7), 1984 .
2024
Xian-Hua Han, Jian Wang, Yen-Wei Chen:
Mask-guided Spatial-Spectral MLP Network for High-Resolution Hyperspectral Image Reconstruction
Sensors 2024, 24(22), 7362; https://doi.org/10.3390/s24227362Zhe Liu, Xian-Hua Han:
Hyperspectral image super resolution using deep internal and self-supervised learning
CAAI Trans. Intell. Technol. 9(1): 128-141 (2024).Xian-Hua Han, Kazuhiro Yamawaki, Huiyan Jiang:
Coupled image and kernel prior learning for high-generalized super-resolution
Neurocomputing 583: 127500 (2024).Yanqiu Wang, Tong Wang, Yi Cao, Xu Qiao, Xianhua Han, Zhi-Ping Liu:
TopMarker: Computational screening biomarkers of hepatocellular carcinoma from transcriptome and interactome based on differential network topological parameters
Comput. Biol. Chem. 112: 108166 (2024).Xing Wu, Zhi Li, Chenjie Tao, Xianhua Han, Yen-Wei Chen, Junfeng Yao, Jian Zhang, Qun Sun, Weimin Li, Yue Liu, Yike Guo
DEA: Data-efficient augmentation for interpretable medical image segmentation
Biomed. Signal Process. Control. 89: 105748 (2024).Xing Wu, Chenjie Tao, Zhi Li, Jian Zhang, Qun Sun, Xianhua Han, Yen-Wei Chen
Medical image segmentation data augmentation method based on channel weight and data-efficient features
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2024 Apr 25;41(2):220-227.Yulin Yang, Qingqing Chen, Yinhao Li, Fang Wang, Xian-Hua Han, Yutaro Iwamoto, Jing Liu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images
IEEE J. Biomed. Health Informatics 28(8): 4737-4750 (2024) .Xing Wu, Jie Pei, Xian-Hua Han, Yen-Wei Chen, Junfeng Yao, Yang Liu, Quan Qian, Yike Guo:
FedEL: Federated ensemble learning for non-iid data
Expert Systems with Applications, Volume 237, Part A, 1 March, 2024, 121390.
2023
Guoyu Tong, Huiyan Jiang, Tianyu Shi, Xian-Hua Han, Yu-Dong Yao:
A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation
IEEE Journal of Bimedical and Gealth Informatics, 2023 Aug 16; PP. doi: 10.1109/JBHI.2023.3305644.He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen:
3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation
IEICE Trans. Inf. Syst. 106(5): 1027-1037 (2023)Kazuhiro Yamawaki, Xian-Hua Han :
Zero-Shot Blind Learning for Single-Image Super-Resolution
Inf. 14(1): 33 (2023) .S Ananda, RK Jain, Y Li, Y Iwamoto, Xian-Hua Han, S Kanasaki, H Hu,, *Yen-Wei CHEN:
A Boundary-Enhanced Liver Segmentation Network for Multi-Phase CT Images with Unsupervised Domain Adaptation
Bioengineering 10 (8), 899 .Yijuan Wang, Chao Liu, Xu Qiao, Xian-Hua Han, Zhi-Ping Liu
PKI: A bioinformatics method of quantifying the importance of nodes in gene regulatory network via a pseudo knockout index
Biochim Biophys Acta Gene Regul Mech. 2023 Jun;1866(2):194911.Y Ai, Y Li, YW Chen, P Aonpong, Xian-Hua Han :
ResMLP_GGR: Residual Multilayer Perceptrons-Based Genotype-Guided Recurrence Prediction of Non-small Cell Lung Cancer
Journal of Image and Graphics 11 (2) .S Yang, Xian-Hua Han, YW Chen :
GND-PCA Method for Identification of Gene Functions Involved in Asymmetric Division of C. elegans
Mathematics 11 (9), 2023 .
2022
Zhe Liu, Xian-Hua Han:
Deep self-supervised hyperspectral image reconstruction
ACM Transactions on Multimedia Computing, Communication, and Applications, 18(3s): 149:1-149:20 (2022)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, 39(6): 2367-2379 (2023) .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 Data
Frontiers in Radiology, Vol.２, 2022, https://doi.org/10.3389/fradi.2022.856460.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.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.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)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
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)Kazuhiro Yamawaki, YongQing Sun, Xian-Hua Han:
Blind Image Super Resolution using Deep Un-supervised Learning
Electronics, 2021.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/ac299aHuimin 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#authorsYingying 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.14922Zhe 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/s21072348Panyanat 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
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).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).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).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)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)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
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)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)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)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)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
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).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).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).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).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
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.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.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.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.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.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.
～2017
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.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.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.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).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).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).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).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).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).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.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.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.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.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: 10.1155/2013/264809Yen-Wei Chen, So Sasatani, Xian-Hua Han
Alignment-Free and High-Frequency Compensation in Face Hallucination
The Scientific World Journal, Vol. 2014.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.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.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.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.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.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.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.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.Xian-Hua Han, Yen-Wei Chen
Biomedical Imaging Modality Classification Using Combined Visual Features and Textual Terms
International Journal of Biomedical Imaging, Vol. 2011.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.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.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.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.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.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.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.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.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.
著書
著書
2017～現在
Xian-Hua Han, Yen-Wei Chen
Decision Support System for Skin Lesion Diagnosis Using Deep Learning
Advances in Intelligent Disease Diagnosis and Treatment, Jain, Lakhmi C. (Eds.), Springer, DOI:10.1007/978-3-031-65640-8_12 .Zhe Liu, Xian-Hua Han
Unsupervised Deep Hyperspectral Image Super-Resolution
Hyperspectral Imaging - A Perspective on Recent Advances and Applications, Jung Y. Huang (Eds.), [Online First], IntechOpen, DOI: 10.5772/intechopen.106908. Available https://www.intechopen.com/chapters/83539Xian-Hua Han
Hyperspectral Image Super-Resolution Using Optimization and DCNN-Based Methods
Processing and Analysis of Hyperspectral Data, Jie Chen (Eds.), IntechOpen, DOI: 10.5772/intechopen.89243. Available from: https://www.intechopen.com/online-first/hyperspectral-image-super-resolution-using-optimization-and-dcnn-based-methodsXian-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.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.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.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
国際会議・ワークショップ・シンポジウム
2025
Xian-Hua Han, Jian Wang:
Multi-Degradation Oriented Deep Unfolding Model for Hyperspectral Image Reconstruction .
ICASSP 2025.
Yongqing Sun, Hong Liu, Qiong Chang , Xian-Hua Han:
Deep Dual Internal Learning for Hyperspectral Image Super-Resolution .
MMM (1) 2025: 263-276 .
2024
Hierarchical Feature Aggregation Network Based on Swin Transformer for Medical Image Segmentation.
ACCV Workshops (2) 2024: 105-117 (Best Paper Award)
Dual Directional Complementary Gradient Fusion and Deep Refinement for Hyperspectral Image Super Resolution.
ICASSP 2024: 2385-2389.
Takumi Takabe, Xian-Hua Han, Yen-Wei Chen:
Deep Versatile Hyperspectral Reconstruction Model from A Snapshot Measurement with Arbitrary Masks.
ICASSP 2024: 2390-2394.
Xian-Hua Han, Huiyan Jiang, Yen-Wei Chen:
Hyperspectral Image Reconstruction Using Hierarchical Neural Architecture Search from A Snapshot Image.
ICASSP 2024: 2500-2504.
Ekei Harimoto, Xian-Hua Han:
Multi-scale Feature Fusion CenterNet for Accurate Wheat Head Detection.
Proc. of 2024 International Workshop on Intelligent Image Processing and Pattern Recognition (IIPPR2024), pp.23-26, Jinan, China, Aug. 19-21, 2024.
Xueyao Cui, Huiyan Jiang, Yang Zhou, Xianhua Han, Xuena Li, Yan Pei:
Lesion Feature Extraction and Classification Optimization Method Using Dynamic Fusion of Global Attention and Local Attention.
IJCNN 2024: 1-7.
Jihao Li, Xian-Hua Han, Xu Qiao, Jiande Sun, Jian Wang :
DWU-Net: A Dual-Branch U-Shaped Multi-Modal Medical Image Segmentation Network Based on Wavelet Transform .
CARE@MICCAI 2024: 240-251 .
Yulin Yang, Jing Liu, Qingqing Chen, Yinhao Li, Xian-Hua Han, Hongjie Hu, Lanfen Lin, and Yen-Wei Chen:
GANs-guided Conditional Diffusion Model for Synthesizing Contrast-enhanced Computed Tomography Images.
Proc. of the 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2024), pp.1-4, Orlando, Florida, USA, July 15-19, 2024.
Rahul Kumar JAIN, Shurong CHAI, Takahiro SATO, Ahmed M El-Sayed, Taro WATASUE, Tomohiro NAKAGAWA, Xianhua HAN, Lanfen LIN, Hongjie HU, Xiang RUAN, and Yen-Wei CHEN:
Improved Liver Lesion Detection Using Foundation Model: A Novel Approach.
Innovation in Medicine and Healthcare. KES InMed 2024. Smart Innovation, Systems and Technologies, Springer, vol ??, pp.??-??, June 2024.
Yulin Yang, Jing Liu, Qingqing Chen, Yinhao Li, Xian-Hua Han, Hongjie Hu, Lanfen Lin, and Yen-Wei Chen:
An Improved Conditional Diffusion Model for Synthesizing Contrast-enhanced Computed Tomography Images.
Innovation in Medicine and Healthcare. KES InMed 2024. Smart Innovation, Systems and Technologies, Springer, vol ??, pp.??-??, June 2024
Ibuki Naka, Yutaro Iwamoto, Yin-hao Li, Rahul Kumar Jain, Xianhua Han, Yuji Tezuka, Hiroki Okada, Kiyosumi Maeda, Atsuyuki Wada, Atsunori Kashiwagi, Yen-Wei Chen:
TDUNet: A Transformer-based Dense U-Net for Enhanced Epicardium Segmentation in CT Images.
Proc. of 2024 International Workshop on Intelligent Image Processing and Pattern Recognition (IIPPR2024), pp.1-4, Jinan, China, Aug. 19-21, 202.
2023
Yuto Numba, Jiande Sun, Xian-Hua Han
COUPLING SPATIAL AND CHANNEL TRANSFORMER FOR SINGLE IMAGE DERAINING
ICIP 2023: ??-??．Sho Harada, Xian-Hua Han
Coarse-to-Fine Pyramid Feature Mining for Wheat Head Detection
ICIP2023: ??-??．Sho Harada, Xian-Hua Han
A Hybrid Wheat Head Detection model with Incorporated CNN and Transformer
MVA 2023: 1-5．Takumi Morita, Xian-Hua Han
Investigating self-supervised learning for Skin Lesion Classification
MVA 2023: 1-5．Masato Tada, Xian-Hua Han
Bottleneck Transformer model with Channel Self-Attention for skin lesion classification
MVA 2023: 1-5．Kazuhiro Yamawaki, Xian-Hua Han
Local to global prior Learning for blind Unsupervised Image super Resolution
ICASSP 2023．Yulin Yang, Yinhao Li, Qingqing Chen, Xian-Hua Han, Jing Liu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen
Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images
EMBC 2023: 1-4．Rahul Kumar Jain, Takahiro Sato, Ahmed M. El-Sayed, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Yinhao Li, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiang Ruan, Yen-Wei Chen
Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images
EMBC 2023: 1-4
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
Kazuhiro Yamawaki, Xian-Hua Han
Deep Image and Kernel Prior Learning for Blind Super-Resolution
MMAsia 2022: 2:1-2:7．Yuto Namba, Xian-Hua Han
Multi-Scale Channel Transformer Network for Single Image Deraining
MMAsia 2022: 20:1-20:7．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)Zhe Liu, Xian-Hua Han
Generalized Deep Internal Learning for Hyperspectral Image Super Resolution
ICIP 2022: 2641-2645．Zhe Liu, Xian-Hua Han, Jiande Sun, Yen-Wei Chen
Unsupervised Generative Network for Blind Hyperspectral Image Super-Resolution
ICIP 2022: 2621-2625．Kazuhiro Yamawaki, Xian-Hua Han
Lightweight Hyperspectral Image Reconstruction Network with Deep Feature Hallucination
ACCV (Workshops) 2022: 170-184．Zhe Liu, Xian-Hua Han
Deep RGB-Driven Learning Network for Unsupervised Hyperspectral Image Super-Resolution
ACCV (Workshops) 2022: 226-239．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．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．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．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.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．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．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．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.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.Katsuhiro Nakai, Xian-Hua Han:
DPE-BoTNeT: Dual Position Encoding Bottleneck Transformer Network for Skin Lesion Classification
ISBI 2022: 1-5.Kazuhiro Yamawaki, Xian-Hua Han:
Deep Unsupervised Blind Learning for Single Image Super Resolution
MIPR 2022: 190-193.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
Kohei Yamamichi, Xian-Hua Han
Multi-scale Residual Aggregation Deraining Network with Spatial Context-aware Pooling and Activation
BMVC 2021．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．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．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．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．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．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).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.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) .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
Kohei Yorimoto, Xian-Hua Han
Deep Residual Attention Network for Hyperspectral Image Reconstruction
25th International Conference on Pattern Recognition (ICPR) (ICPR 2020).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).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.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.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.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.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: 1-4Huimin 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.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
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.Xian-Hua Han, Yen-Wei Chen
Deep Residual Network of Spectral and Spatial Fusion for Hyperspectral Image Super-Resolution
BigMM 2019: 266-270.Xian-Hua Han, YongQing Sun, Yen-Wei Chen
Residual Component Estimating CNN for Image Super-Resolution
BigMM 2019: 443-447.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).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.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, TaiWanDong 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, TaiWanHan 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, ChinaXiao 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.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.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
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.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).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.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.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.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.Xian-Hua Han, Boxin Shi, YinQiang Zheng
SSF-CNN: Spatial and Spectral Fusion CNN for Hyperspectral Image Super-Resolution
ICIP2018.Xian-Hua Han, Boxin Shi, YinQiang Zheng
Residual HSRCNN: Residual Hyper-Spectral Reconstruction CNN from a RGB image
ICPR2018.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.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).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, 2018Dong 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.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.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.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
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.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.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).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).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).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).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).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
国内会議・研究報告
2025年
伊與田颯人, 韓先花 :
Parameter-Efficient Tuningを活用した階層型ViTの医用画像セグメンテーションへの効率的適応 .
画像の認識・理解シンポジウム（MIRU2025）, 2025年7月29日〜8月1日, 国立京都国際会館, IS2-051.
胡之槐, 韓 先花:
自己注意に基づく重要領域の自動学習とグラフ特徴相互作用による細粒度画像認識 .
画像の認識・理解シンポジウム（MIRU2025）, 2025年7月29日〜8月1日, 国立京都国際会館, IS2-049.
周星宇, 韓 先花:
Mambaベースプライア学習を導入したDeep Unfolding型ハイパースペクトル画像再構成 .
画像の認識・理解シンポジウム（MIRU2025）, 2025年7月29日〜8月1日, 国立京都国際会館, IS1-119 .
2024年
伊與⽥ 颯⼈、韓 先花:
階層的なトランスフォーマー特徴の統合による医療画像セグメンテーションへの検討.
ビジョン技術の実利用ワークショップ2024 (ViEW2024).
張元 慧慶、韓 先花:
小麦の穂検出のためのマルチスケール特徴融合 CenterNet.
ビジョン技術の実利用ワークショップ2024 (ViEW2024).
胡 之槐、小島 理、韓 先花 :
重要な領域の自動抽出及び段階的学習に基づくきめ細かい画像分類.
電子通信情報学会総合大会, D-12-17、2025年3月24日ー28日.
王 続、韓 先花 :
ＣＮＮとTransformerのハイブリッドモデルを用いた皮膚画像セグメンテーションの検討.
電子通信情報学会総合大会, , D-12-21、2025年3月24日ー28日.
2023年
１．難波優駿 、韓 先花:
Coupling Spatial and Channel Transformer Networkを用いた単一画像の雨除去 .
画像の認識・理解シンポジウム MIRU2023、OS6A-S2。（MIRUインタラクティブ発表賞）
２．杜銀偉, 韓 先花:
Attention機構を用いた皮膚病変画像認識の検討。
画像の認識・理解シンポジウム MIRU2023 、IS1-51
３．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.
４．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 .
2022
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.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.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.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.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.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.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.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.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.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.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
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.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.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.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.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.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.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.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.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.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.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.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.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.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.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
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.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.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.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)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)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.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.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.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.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.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.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.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.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.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.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
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.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.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.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.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.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).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).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).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).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
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