| 2024 | ACCV | Hierarchical Feature Aggregation Network Based on Swin Transformer for Medical Image Segmentation. | Hayato Iyoda, Yongqing Sun, Xian-Hua Han |
| 2024 | ICASSP | Dual Directional Complementary Gradient Fusion and Deep Refinement for Hyperspectral Image Super Resolution. | YinWei Du, Jian Wang, Xing Wu, Xian-Hua Han |
| 2024 | ICASSP | Hyperspectral Image Reconstruction Using Hierarchical Neural Architecture Search from A Snapshot Image. | Xian-Hua Han, Huiyan Jiang, Yen-Wei Chen |
| 2024 | ICASSP | Deep Versatile Hyperspectral Reconstruction Model from A Snapshot Measurement with Arbitrary Masks. | Takumi Takabe, Xian-Hua Han, Yen-Wei Chen |
| 2024 | MICCAI | DWU-Net: A Dual-Branch U-Shaped Multi-Modal Medical Image Segmentation Network Based on Wavelet Transform. | Jihao Li, Xian-Hua Han, Xu Qiao, Jiande Sun, Jian Wang |
| 2023 | ICASSP | Local to global prior Learning for blind Unsupervised Image super Resolution. | Kazuhiro Yamawaki, Xian-Hua Han |
| 2023 | ICIP | Coarse-To-Fine Pyramid Feature Mining for Wheat Head Detection. | Sho Harada, Xian-Hua Han |
| 2023 | ICIP | Coupling Spatial and Channel Transformer for Single Image Deraining. | Yuto Namba, Jiande Sun, Xian-Hua Han |
| 2023 | MVA | A Hybrid Wheat Head Detection model with Incorporated CNN and Transformer. | Sho Harada, Xian-Hua Han |
| 2023 | MVA | Investigating self-supervised learning for Skin Lesion Classification. | Takumi Morita, Xian-Hua Han |
| 2023 | MVA | Bottleneck Transformer model with Channel Self-Attention for skin lesion classification. | Masato Tada, Xian-Hua Han |
| 2023 | PERCOM | Exploring Cross Modality Feature Fusion for Activity Recognition at OpenPack Challenge 2022. | Tetsuo Inoshita, Yuto Namba, Yuichi Nakatani, Kenta Ishihara, Sachio Iwasaki, Kosuke Moriwaki, Xian-Hua Han |
| 2022 | ACCV | Deep RGB-Driven Learning Network for Unsupervised Hyperspectral Image Super-Resolution. | Zhe Liu, Xian-Hua Han |
| 2022 | ACCV | Lightweight Hyperspectral Image Reconstruction Network with Deep Feature Hallucination. | Kazuhiro Yamawaki, Xian-Hua Han |
| 2022 | CVPR | Dual Heterogeneous Complementary Networks for Single Image Deraining. | Yuto Namba, Hikaru Miyata, Xian-Hua Han |
| 2022 | ICASSP | Mixed Transformer U-Net for Medical Image Segmentation. | Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong |
| 2022 | ICIP | Generalized Deep Internal Learning for Hyperspectral Image Super Resolution. | Zhe Liu, Xian-Hua Han |
| 2022 | ICIP | Hyperspectral Reconstruction Using Auxiliary Rgb Learning From A Snapshot Image. | Kazuhiro Yamawaki, Yorimoto Kohei, Xian-Hua Han |
| 2022 | IJCAI | ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise
Perspective for Medical Image Segmentation. | Huimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong |
| 2021 | BMVC | Multi-scale Residual Aggregation Deraining Network with Spatial Context-aware Pooling and Activation. | Kohei Yamamichi, Xian-Hua Han |
| 2021 | ICASSP | Graph-Based Pyramid Global Context Reasoning With a Saliency- Aware Projection for Covid-19 Lung Infections Segmentation. | Huimin Huang, Ming Cai, Lanfen Lin, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong |
| 2021 | ICIP | Deep Blind Un-Supervised Learning Network for Single Image Super Resolution. | Kazuhiro Yamawaki, Xian-Hua Han |
| 2021 | MICCAI | 3D Graph-S | Huimin Huang, Nan Zhou, Lanfen Lin, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong |
| 2021 | MICCAI | Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance. | Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong |
| 2021 | MVA | Angular Margin Constrained Loss for Automatic Liver Fibrosis Staging. | Katsuhiro Nakai, Xu Qiao, Xian-Hua Han |
| 2020 | ACCV | Spatial and Channel Attention Modulated Network for Medical Image Segmentation. | Wenhao Fang, Xian-Hua Han |
| 2020 | ACCV | Cell Detection and Segmentation in Microscopy Images with Improved Mask R-CNN. | Seiya Fujita, Xian-Hua Han |
| 2020 | ACCV | Unsupervised Multispectral and Hyperspectral Image Fusion with Deep Spatial and Spectral Priors. | Zhe Liu, Yinqiang Zheng, Xian-Hua Han |
| 2020 | ACCV | MCGKT-Net: Multi-level Context Gating Knowledge Transfer Network for Single Image Deraining. | Kohei Yamamichi, Xian-Hua Han |
| 2020 | ICPR | Deep Residual Attention Network for Hyperspectral Image Reconstruction. | Yorimoto Kohei, Xian-Hua Han |
| 2020 | MICCAI | Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks. | Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen |
| 2019 | ICASSP | A Cascade of CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Image. | Titinunt Kitrungrotsakul, Yutaro Iwamoto, Xian-Hua Han, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Xiong Wei, Yen-Wei Chen |
| 2019 | ICIP | A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images. | Xiao Chen, Jian Wu, Lanfen Lin, Dong Liang, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong |
| 2018 | ICIP | SSF-CNN: Spatial and Spectral Fusion with CNN for Hyperspectral Image Super-Resolution. | Xian-Hua Han, Boxin Shi, Yinqiang Zheng |
| 2018 | ICNC | A 2.5D Cascaded Convolutional Neural Network with Temporal Information for Automatic Mitotic Cell Detection in 4D Microscopic Images. | Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Xiong Wei, Yen-Wei Chen |
| 2018 | ICPR | Residual HSRCNN: Residual Hyper-Spectral Reconstruction CNN from an RGB Image. | Xian-Hua Han, Boxin Shi, Yinqiang Zheng |
| 2018 | ISM | Comprehensive Study of Multiple CNNs Fusion for Fine-Grained Dog Breed Categorization. | Minori Uno, Xian-Hua Han, Yen-Wei Chen |
| 2018 | MICCAI | Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition. | Xian-Hua Han, JiandDe Sun, Lanfen Lin, Yen-Wei Chen |
| 2018 | MICCAI | Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification. | Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen, Dan Wang, Xian-Hua Han, Yutaro Iwamoto, Yen-Wei Chen |
| 2017 | ICIP | Joint weber-based rotation invariant uniform local ternary pattern for classification of pulmonary emphysema in CT images. | Liying Peng, Lanfen Lin, Hongjie Hu, Xiaoli Ling, Dan Wang, Xian-Hua Han, Yen-Wei Chen |
| 2017 | ISM | Hyper-spectral Image Super-resolution Using Non-negative Spectral Representation with Data-Guided Sparsity. | Xian-Hua Han, Jan Wang, Boxin Shi, Yinqiang Zheng, Yen-Wei Chen |
| 2017 | ISM | Tensor Sparse Representation of Temporal Features for Content-Based Retrieval of Focal Liver Lesions Using Multi-phase Medical Images. | Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen |
| 2016 | ACCV | Bayesian Saliency Model for Focal Liver Lesion Enhancement and Detection. | Xian-Hua Han, Jian Wang, Yuu Konno, Yen-Wei Chen |
| 2016 | ICPR | Bag of temporal co-occurrence words for retrieval of focal liver lesions using 3D multiphase contrast-enhanced CT images. | Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, Jian Wang, Xian-Hua Han, Yen-Wei Chen |
| 2016 | MICCAI | HEp-2 Cell Classification Using K-Support Spatial Pooling in Deep CNNs. | Xian-Hua Han, Jianmei Lei, Yen-Wei Chen |
| 2016 | SNPD | A novel and fast connected component count algorithm based on graph theory. | Sihai Yang, Duansheng Chen, Xian-Hua Han, Yen-Wei Chen |
| 2015 | ICIP | Liver segmentation using superpixel-based graph cuts and restricted regions of shape constrains. | Titinunt Kitrungrotsakul, Xian-Hua Han, Yen-Wei Chen |
| 2015 | MICCAI | HEp-2 Staining Pattern Recognition Using Stacked Fisher Network for Encoding Weber Local Descriptor. | Xian-Hua Han, Yen-Wei Chen, Gang Xu |
| 2014 | ICPR | Sparse and Low Rank Matrix Decomposition Based Local Morphological Analysis and Its Application to Diagnosis of Cirrhosis Livers. | Junping Deng, Xian-Hua Han, Gang Xu, Yen-Wei Chen |
| 2014 | ICPR | Hybrid Aggregation of Sparse Coded Descriptors for Food Recognition. | Riko Kusumoto, Xian-Hua Han, Yen-Wei Chen |
| 2013 | ICIP | Pilot study of applying shape analysis to liver cirrhosis diagnosis. | Jie Luo, Yen-Wei Chen, Xian-Hua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki |
| 2013 | ISNN | Residual Image Compensations for Enhancement of High-Frequency Components in Face Hallucination. | Yen-Wei Chen, So Sasatani, Xian-Hua Han |
| 2012 | ICPR | Multiple feature selection and fusion based on generalized N-dimensional independent component analysis. | Danni Ai, Guifang Duan, Xian-Hua Han, Yen-Wei Chen |
| 2012 | ICPR | Group sparse representation of adaptive sub-domain selection for image classification. | Xian-Hua Han, Xu Qiao, Yen-Wei Chen |
| 2012 | ICPR | Super-resolution of MR volumetric images using sparse representation and self-similarity. | Yutaro Iwamoto, Xian-Hua Han, So Sasatani, Kazuki Taniguchi, Wei Xiong, Yen-Wei Chen |
| 2012 | ICPR | Image super-resolution based on locality-constrained linear coding. | Kazuki Taniguchi, Xian-Hua Han, Yutaro Iwamoto, So Sasatani, Yen-Wei Chen |
| 2012 | SSPR | Face Recognition Using Multilinear Manifold Analysis of Local Descriptors. | Xian-Hua Han, Yen-Wei Chen |
| 2011 | ICIP | Canonical correlation analysis of local feature set for view-based object recognition. | Xian-Hua Han, Yen-Wei Chen, Xiang Ruan |
| 2011 | ICIP | High frequency compensated face hallucination. | So Sasatani, Xian-Hua Han, Takanori Igarashi, Motonori Ohashi, Yutaro Iwamoto, Yen-Wei Chen |
| 2011 | MVA | Multi-class Co-training Learning for Object and Scene Recognition. | Xian-Hua Han, Yen-Wei Chen, Xiang Ruan |
| 2010 | ICIP | Image recognition by learned linear subspace of combined bag-of-features and low-level features. | Xian-Hua Han, Yen-Wei Chen, Xiang Ruan |
| 2010 | ICPR | Adaptive Color Independent Components Based SIFT Descriptors for Image Classification. | Danni Ai, Xian-Hua Han, Xiang Ruan, Yen-Wei Chen |
| 2010 | ICPR | Image Categorization by Learned Nonlinear Subspace of Combined Visual-Words and Low-Level Features. | Xian-Hua Han, Yen-Wei Chen, Xiang Ruan |
| 2010 | ICPR | Semi-supervised and Interactive Semantic Concept Learning for Scene Recognition. | Xian-Hua Han, Yen-Wei Chen, Xiang Ruan |
| 2009 | ICNC | Hierarchical Super-Resolution Approach for Expanding Image with High Magnification. | Motonori Ohashi, Xian-Hua Han, Yen-Wei Chen |
| 2009 | ICNC | Image Categorization with PCA-SICEF. | Atsushi Okamoto, Xian-Hua Han, Xiang Ruan, Yen-Wei Chen |
| 2008 | ICIP | A supervised nonlinear neighborhood embedding of color histogram for image indexing. | Xian-Hua Han, Yen-Wei Chen, Takeshi Sukegawa |
| 2008 | KES | Classification of High-Resolution Satellite Images Using Supervised Locality Preserving Projections. | Yen-Wei Chen, Xian-Hua Han |
| 2003 | KES | An ICA-Based Method for Poisson Noise Reduction. | Xian-Hua Han, Yen-Wei Chen, Zensho Nakao |