An ICA-Based Method for Poisson Noise Reduction. - Xian-Hua Han; Yen-Wei Chen 001; Zensho Nakao (KES, 2003)

Robust Edge Detection by Independent Component Analysis in Noisy Images. - Xian-Hua Han; Yen-Wei Chen 001; Zensho Nakao (IEICE Trans. Inf. Syst., 2004)

An ICA-Domain Shrinkage Based Poisson-Noise Reduction Algorithm and Its Application to Penumbral Imaging. - Xian-Hua Han; Zensho Nakao; Yen-Wei Chen 001; Ryosuke Kodama (IEICE Trans. Inf. Syst., 2005)

ICA domain filtering for reduction of noise in x-ray images. - Yen-Wei Chen 001; Xianhua Han (Image Processing, 2006)

Application of Poisson Image Denoising by ICA to Penumbral Imaging. - Xian-Hua Han; Jian Li; Shuiyan Dai; Yen-Wei Chen 001 (FSKD (4), 2007)

An ICA Based Noise Reduction for PET Reconstructed Images. - Xian-Hua Han; Yen-Wei Chen 001; Keishi Kitamura; Akihiro Ishikawa; Yoshihiro Inoue; Kouichi Shibata; Yukio Mishina; Yoshihiro Mukuta (IIH-MSP, 2007)

A supervised nonlinear neighborhood embedding of color histogram for image indexing. - Xian-Hua Han; Yen-Wei Chen 001; Takeshi Sukegawa (ICIP, 2008)

Robust Face Recognition Based on Modified ICA without Training Sample of Test Subjects. - Xian-Hua Han; Yen-Wei Chen 001; Akihiko Yamada; Hideto Fujita (IIH-MSP, 2008)

Enhancement and detection of lung nodules with Multiscale filters in CT images. - Shingo Takemura; Xian-Hua Han; Yen-Wei Chen 001; Kazuhiro Ito; Ikuko Nishikawa; Masahiro Ito (IIH-MSP, 2008)

Region-Based Segmentation and Auto-Annotation for Color Images. - Yohei Tsurugai; Yuuta Iwasaki; Xian-Hua Han; Yen-Wei Chen 001 (IIH-MSP, 2008)

Classification of High-Resolution Satellite Images Using Supervised Locality Preserving Projections. - Yen-Wei Chen 001; Xian-Hua Han (KES (2), 2008)

Edge detection algorithm based on ICA-domain shrinkage in noisy images. - Xian-Hua Han; Shuiyan Dai; Jian Li; Guorong Xia (Sci. China Ser. F Inf. Sci., 2008)

Supervised Local Subspace Learning for Region Segmentation and Categorization in High-Resolution Satellite Images. - Yen-Wei Chen 001; Xian-Hua Han (CCIW, 2009)

Synthesis of multiple pose facial images using tensor-based subspace learning method. - Xu Qiao; Yen-Wei Chen 001; Xian-Hua Han; Takanori Igarashi; Keisuke Nakao (ICCV Workshops, 2009)

Object class recognition with supervised nonlinear neighborhood embedding of visual words. - Xian-Hua Han; Yen-Wei Chen 001; Xiang Ruan (ICIMCS, 2009)

Hierarchical Super-Resolution Approach for Expanding Image with High Magnification. - Motonori Ohashi; Xian-Hua Han; Yen-Wei Chen 001 (ICNC (6), 2009)

Image Categorization with PCA-SICEF. - Atsushi Okamoto; Xian-Hua Han; Xiang Ruan; Yen-Wei Chen 001 (ICNC (6), 2009)

Image Categorization by Learned PCA Subspace of Combined Visual-words and Low-level Features. - Xian-Hua Han; Yen-Wei Chen 001 (IIH-MSP, 2009)

Principal Component Analysis for Prediction of O-Linked Glycosylation Sites in Protein by Multi-Layered Neural Networks. - Chu-Zheng Wang; Xian-Hua Han; Masahiro Ito; Ikuko Nishikawa; Yen-Wei Chen 001 (IIH-MSP, 2009)

ImageCLEF 2010 Modality Classification in Medical Image Retrieval: Multiple Feature Fusion with Normalized Kernel Function. - Xian-Hua Han; Yen-Wei Chen 001 (CLEF (Notebook Papers/LABs/Workshops), 2010)

Image recognition by learned linear subspace of combined bag-of-features and low-level features. - Xian-Hua Han; Yen-Wei Chen 001; Xiang Ruan (ICIP, 2010)

Adaptive Color Independent Components Based SIFT Descriptors for Image Classification. - Danni Ai; Xian-Hua Han; Xiang Ruan; Yen-Wei Chen 001 (ICPR, 2010)

Image Categorization by Learned Nonlinear Subspace of Combined Visual-Words and Low-Level Features. - Xian-Hua Han; Yen-Wei Chen 001; Xiang Ruan (ICPR, 2010)

Semi-supervised and Interactive Semantic Concept Learning for Scene Recognition. - Xian-Hua Han; Yen-Wei Chen 001; Xiang Ruan (ICPR, 2010)

Multilinear Tensor Supervised Neighborhood Embedding Analysis for View-Based Object Recognition. - Xian-Hua Han; Yen-Wei Chen 001; Xiang Ruan (PCM (1), 2010)

RITSU_CBVR at TRECVID-2010. - Danni Ai; Atsushi Okamoto; Yae Kikutani; Yoshiyuki Tanaka; Xian-Hua Han; Yen-Wei Chen 001 (TRECVID, 2010)

Color Independent Components Based SIFT Descriptors for Object/Scene Classification. - Danni Ai; Xian-Hua Han; Xiang Ruan; Yen-Wei Chen 001 (IEICE Trans. Inf. Syst., 2010)

Tensor-based subspace learning and its applications in multi-pose face synthesis. - Xu Qiao; Xian-Hua Han; Takanori Igarashi; Keisuke Nakao; Yen-Wei Chen 001 (Neurocomputing, 2010)

Independent component analysis of color SIFT for Image Classification. - Danni Ai; Xian-Hua Han; Guifang Duan; Xiang Ruan; Yen-Wei Chen 001 (ICCP, 2011)

Canonical correlation analysis of local feature set for view-based object recognition. - Xian-Hua Han; Yen-Wei Chen 001; Xiang Ruan (ICIP, 2011)

High frequency compensated face hallucination. - So Sasatani; Xian-Hua Han; Takanori Igarashi; Motonori Ohashi; Yutaro Iwamoto; Yen-Wei Chen 001 (ICIP, 2011)

Multi-class Co-training Learning for Object and Scene Recognition. - Xian-Hua Han; Yen-Wei Chen 001; Xiang Ruan (MVA, 2011)

Global Selection vs Local Ordering of Color SIFT Independent Components for Object/Scene Classification. - Danni Ai; Xian-Hua Han; Guifang Duan; Xiang Ruan; Yen-Wei Chen 001 (IEICE Trans. Inf. Syst., 2011)

Multilinear Supervised Neighborhood Embedding with Local Descriptor Tensor for Face Recognition. - Xian-Hua Han; Xu Qiao; Yen-Wei Chen 001 (IEICE Trans. Inf. Syst., 2011)

Biomedical Imaging Modality Classification Using Combined Visual Features and Textual Terms. - Xian-Hua Han; Yen-Wei Chen 001 (Int. J. Biomed. Imaging, 2011)

A robust method based on ICA and mixture sparsity for edge detection in medical images. - Xian-Hua Han; Yen-Wei Chen 001 (Signal Image Video Process., 2011)

Multiple feature selection and fusion based on generalized N-dimensional independent component analysis. - Danni Ai; Guifang Duan; Xian-Hua Han; Yen-Wei Chen 001 (ICPR, 2012)

Group sparse representation of adaptive sub-domain selection for image classification. - Xian-Hua Han; Xu Qiao; Yen-Wei Chen 001 (ICPR, 2012)

Super-resolution of MR volumetric images using sparse representation and self-similarity. - Yutaro Iwamoto; Xian-Hua Han; So Sasatani; Kazuki Taniguchi; Wei Xiong 001; Yen-Wei Chen 001 (ICPR, 2012)

Image super-resolution based on locality-constrained linear coding. - Kazuki Taniguchi; Xian-Hua Han; Yutaro Iwamoto; So Sasatani; Yen-Wei Chen 001 (ICPR, 2012)

Efficient shape representation and statistical shape modeling of the liver using spherical harmonic functions (SPHARM). - Tomo ko Tatey ama; Megumi Okegawa; Mei Uetani; Hidetoshi Tanaka; Shinya Kohara; Xian-Hua Han; Shuzo Kanasaki; Shigetaka Sato; Makoto Wakamiya; Akira Furukawa; Huiyan Jiang; Yen-Wei Chen 001 (SCIS&ISIS, 2012)

Face Recognition Using Multilinear Manifold Analysis of Local Descriptors. - Xian-Hua Han; Yen-Wei Chen 001 (SSPR/SPR, 2012)

View-Based Object Recognition Using ND Tensor Supervised Neighborhood Embedding. - Xian-Hua Han; Yen-Wei Chen 001; Xiang Ruan (IEICE Trans. Inf. Syst., 2012)

Multilinear Supervised Neighborhood Embedding of a Local Descriptor Tensor for Scene/Object Recognition. - Xian-Hua Han; Yen-Wei Chen 001; Xiang Ruan (IEEE Trans. Image Process., 2012)

Quantifying stage progress of cirrhotic livers based on statistic shape models. - Yen-Wei Chen 001; Chunhua Dong; Xian-Hua Han; Tomoko Tateyama; Shuzo Kanasaki; Akira Furukawa (BMEI, 2013)

Nonrigid registration for evaluating locoregional therapy of hepatocellular carcinoma. - Chunhua Dong; Toshihito Seki; Ryosuke Inoguchi; Chen-Lun Lin; Xian-Hua Han; Yen-Wei Chen 001 (BMEI, 2013)

Robust local ternary patterns for texture categorization. - Xian-Hua Han; Gang Xu; Yen-Wei Chen 001 (BMEI, 2013)

Sparse model in hierarchic spatial structure for food image recognition. - Riko Kusumoto; Xian-Hua Han; Yen-Wei Chen 001 (BMEI, 2013)

Adaptive color discrimination for image classification. - Motoki Nakajima; Yen-Wei Chen 001; Xian-Hua Han (BMEI, 2013)

High frequency compensated face hallucination with total variation constraint. - Yusuke Nojima; Xian-Hua Han; Kazuki Taniguchi; Yen-Wei Chen 001 (BMEI, 2013)

A preliminary study on multi-touch based medical image analysis and visualization system. - Jian Wang 004; Hua-Wei Tu; Xian-Hua Han; Tomoko Tateyama; Yen-Wei Chen 001 (BMEI, 2013)

Computer-aided liver surgical planning system using CT volumes. - Yen-Wei Chen 001; Masaki Kaibori; Tsukasa Shindo; Kousuke Miyawaki; Amir Hossein Foruzan; Tomoko Tateyama; Xian-Hua Han; Kosuke Matsui; Takumi Tsuda; A.-Hon Kwon (EMBC, 2013)

A Morphologic Analysis of Cirrhotic Liver in CT Images. - Yen-Wei Chen 001; Jie Luo; Xian-Hua Han; Tomoko Tateyama; Akira Furukawa; Shuzo Kanasaki (ICIAR, 2013)

Pilot study of applying shape analysis to liver cirrhosis diagnosis. - Jie Luo; Yen-Wei Chen 001; Xian-Hua Han; Tomoko Tateyama; Akira Furukawa; Shuzo Kanasaki (ICIP, 2013)

Residual Image Compensations for Enhancement of High-Frequency Components in Face Hallucination. - Yen-Wei Chen 001; So Sasatani; Xian-Hua Han (ISNN (1), 2013)

Sparse dictionary representation and propagation for MRI volume super-resolution. - Xian-Hua Han; Yen-Wei Chen 001 (Image Processing, 2013)

Generalized N-Dimensional PCA for Compact Representation of Medical Volumes and Effective Mode Selection by Adaboost. - Junping Deng; Rui Xu 002; Xian-Hua Han; Yen-Wei Chen 001 (PCM, 2013)

Global and local features for accurate impression estimation of cloth fabric images. - Xinyin Huang; Dingye Chen; Xian-Hua Han; Yen-Wei Chen 001 (SII, 2013)

Food recognition using Codebook-based model with sparse-coding. - Minami Wazumi; Xian-Hua Han; Yen-Wei Chen 001 (SII, 2013)

Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning. - Yen-Wei Chen 001; Jie Luo; Chunhua Dong; Xian-Hua Han; Tomoko Tateyama; Akira Furukawa; Shuzo Kanasaki (Comput. Math. Methods Medicine, 2013)

Generalized N-dimensional independent component analysis and its application to multiple feature selection and fusion for image classification. - Danni Ai; Guifang Duan; Xian-Hua Han; Yen-Wei Chen 001 (Neurocomputing, 2013)

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 001 (ICPR, 2014)

Hybrid Aggregation of Sparse Coded Descriptors for Food Recognition. - Riko Kusumoto; Xian-Hua Han; Yen-Wei Chen 001 (ICPR, 2014)

Automatic Segmentation of Liver From CT Images Using Probabilistic Atlas and Template Matching. - Yen-Wei Chen 001; Amir Hossein Foruzan; Chunhua Dong; Tomoko Tateyama; Xianhua Han (IDT/IIMSS/STET, 2014)

Bayesian-based Saliency Model for Liver Tumor Enhancement. - Xian-Hua Han; Yen-Wei Chen 001; Gang Xu (IDT/IIMSS/STET, 2014)

Robust isotropic super-resolution by maximizing a Laplace posterior for MRI volumes. - Xian-Hua Han; Yutaro Iwamoto; Akihiko Shiino; Yen-Wei Chen 001 (Image Processing, 2014)

Sparse and Low-Rank Matrix Decomposition for Local Morphological Analysis to Diagnose Cirrhosis. - Junping Deng; Xian-Hua Han; Yen-Wei Chen 001; Gang Xu; Yoshinobu Sato; Masatoshi Hori; Noriyuki Tomiyama (IEICE Trans. Inf. Syst., 2014)

High-Order Statistics of Microtexton for HEp-2 Staining Pattern Classification. - Xian-Hua Han; Jian Wang 004; Gang Xu; Yen-Wei Chen 001 (IEEE Trans. Biomed. Eng., 2014)

Nuclear detection in 4D microscope images using enhanced probability map of top-ranked intensity-ordered descriptors. - Xian-Hua Han; Yukako Tohsato; Koji Kyoda; Shuichi Onami; Ikuko Nishikawa; Yen-Wei Chen 001 (ACPR, 2015)

Discriminant statistical analysis of local facial geometrical regions. - Misae Nakatsu; Ryosuke Kimura; Xian-Hua Han; Yen-Wei Chen 001 (ACPR, 2015)

A robust registration method using Huber ICP and low rank and sparse decomposition. - Qiaochu Zhao; Xian-Hua Han; Yen-Wei Chen 001 (APSIPA, 2015)

Generic and specific impression estimation of clothing fabric images based on machine learning. - Yen-Wei Chen 001; Dingye Chen; Xian-Hua Han; Xinyin Huang (FSKD, 2015)

A knowledge-based interactive liver segmentation using random walks. - Chunhua Dong; Yen-Wei Chen 001; Tomoko Tateyama; Xian-Hua Han; Lanfen Lin; Hongjie Hu; Chongwu Jin; Huajun Yu (FSKD, 2015)

Automatic inspection of throw-away tips based on principal component analysis. - Ting Wang; Xian-Hua Han; Rui Xu 002; Yen-Wei Chen 001; Yoshitomo Ishizaki; Masaru Miyamoto; Tomohito Hattori (FSKD, 2015)

Two-step learning based super resolution and its application to 3D medical volumes. - Yuto Kondo; Xian-Hua Han; Yen-Wei Chen 001 (GCCE, 2015)

Liver segmentation using superpixel-based graph cuts and restricted regions of shape constrains. - Titinunt Kitrungrotsakul; Xian-Hua Han; Yen-Wei Chen 001 (ICIP, 2015)

HEp-2 Staining Pattern Recognition Using Stacked Fisher Network for Encoding Weber Local Descriptor. - Xian-Hua Han; Yen-Wei Chen 001; Gang Xu (MLMI, 2015)

Segmentation of liver and spleen based on computational anatomy models. - Chunhua Dong; Yen-Wei Chen 001; Amir Hossein Foruzan; Lanfen Lin; Xian-Hua Han; Tomoko Tateyama; Xing Wu 001; Gang Xu; Huiyan Jiang (Comput. Biol. Medicine, 2015)

Non-rigid image registration with anatomical structure constraint for assessing locoregional therapy of hepatocellular carcinoma. - Chunhua Dong; Yen-Wei Chen 001; Toshihito Seki; Ryosuke Inoguchi; Chen-Lun Lin; Xian-Hua Han (Comput. Medical Imaging Graph., 2015)

High-Order Statistics of Weber Local Descriptors for Image Representation. - Xian-Hua Han; Yen-Wei Chen 001; Gang Xu (IEEE Trans. Cybern., 2015)

Bayesian Saliency Model for Focal Liver Lesion Enhancement and Detection. - Xian-Hua Han; Jian Wang 004; Yuu Konno; Yen-Wei Chen 001 (ACCV Workshops (3), 2016)

Super-resolution of 3D MR images and its application to brain segmentation. - Yutaro Iwamoto; Xian-Hua Han; Akihiko Shiino; Yen-Wei Chen 001 (CISP-BMEI, 2016)

SIFT-based multi-frame super resolution for 250 million pixel images. - Katsuhisa Ogawa; Yuri Yamaguchi; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001 (CISP-BMEI, 2016)

Food recognition by combined bags of color features and texture features. - Shota Sasano; Xian-Hua Han; Yen-Wei Chen 001 (CISP-BMEI, 2016)

A retrieval system for 3D multi-phase contrast-enhanced CT images of focal liver lesions based on combined bags of visual words and texture words. - Yingying Xu; Lanfen Lin; Hongjie Hu; Dan Wang; Yitao Liu; Jian Wang 004; Xian-Hua Han; Yen-Wei Chen 001 (CISP-BMEI, 2016)

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 004; Xian-Hua Han; Yen-Wei Chen 001 (ICPR, 2016)

HEp-2 Cell Classification Using K-Support Spatial Pooling in Deep CNNs. - Xian-Hua Han; Jianmei Lei; Yen-Wei Chen 001 (LABELS/DLMIA@MICCAI, 2016)

A framework for probabilistic atlas-based organ segmentation. - Chunhua Dong; Yen-Wei Chen 001; Amir Hossein Foruzan; Xian-Hua Han; Tomoko Tateyama; Xing Wu 001 (Image Processing, 2016)

A novel and fast connected component count algorithm based on graph theory. - Sihai Yang; Duansheng Chen; Xian-Hua Han; Yen-Wei Chen 001 (SNPD, 2016)

Dual-band polarization angle independent 90° polarization rotator using chiral metamaterial. - Hai-lin Cao; Huan Chen; Xiaodong Wu; Yuwei Pi; Junjie Liu; Hang Xu; Xiao-heng Tan; Jianmei Lei; Xian-Hua Han (IEICE Electron. Express, 2016)

Nuclear detection in 4D microscope images of a developing embryo using an enhanced probability map of top-ranked intensity-ordered descriptors. - Xian-Hua Han; Yukako Tohsato; Koji Kyoda; Shuichi Onami; Ikuko Nishikawa; Yen-Wei Chen 001 (IPSJ Trans. Comput. Vis. Appl., 2016)

A principal component analysis based method to automatically inspect wear of throw-away tips. - Ting Wang; Rui Xu 002; Xian-Hua Han; Yen-Wei Chen 001; Yoshitomo Ishizaki; Masaru Miyamoto; Tomohito Hattori (J. Intell. Fuzzy Syst., 2016)

Simultaneous Segmentation of Multiple Organs Using Random Walks. - Chunhua Dong; Yen-Wei Chen 001; Lanfen Lin; Hongjie Hu; Chongwu Jin; Huajun Yu; Xian-Hua Han; Tomoko Tateyama (J. Inf. Process., 2016)

Integration of spatial and orientation contexts in local ternary patterns for HEp-2 cell classification. - Xian-Hua Han; Yen-Wei Chen 001; Gang Xu (Pattern Recognit. Lett., 2016)

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 001 (ICIP, 2017)

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 001 (ISM, 2017)

Tensor Sparse Representation of Temporal Features for Content-Based Retrieval of Focal Liver Lesions Using Multi-phase Medical Images. - Jian Wang 004; Xian-Hua Han; Yingying Xu; Lanfen Lin; Hongjie Hu; Chongwu Jin; Yen-Wei Chen 001 (ISM, 2017)

Robust hepatic vessel segmentation using multi deep convolution network. - Titinunt Kitrungrotsakul; Xian-Hua Han; Yutaro Iwamoto; Amir Hossein Foruzan; Lanfen Lin; Yen-Wei Chen 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images. - Jian Wang 004; Xian-Hua Han; Yingying Xu; Lanfen Lin; Hongjie Hu; Chongwu Jin; Yen-Wei Chen 001 (Int. J. Biomed. Imaging, 2017)

Generalized Aggregation of Sparse Coded Multi-Spectra for Satellite Scene Classification. - Xian-Hua Han; Yen-Wei Chen 001 (ISPRS Int. J. Geo Inf., 2017)

Co-occurrence context of the data-driven quantized local ternary patterns for visual recognition. - Xian-Hua Han; Yen-Wei Chen 001; Gang Xu (IPSJ Trans. Comput. Vis. Appl., 2017)

Phenotype Analysis Method for Identification of Gene Functions Involved in Asymmetric Division of Caenorhabditis elegans. - Sihai Yang; Xian-Hua Han; Yukako Tohsato; Koji Kyoda; Shuichi Onami; Ikuko Nishikawa; Yen-Wei Chen 001 (J. Comput. Biol., 2017)

HEp-2 staining pattern recognition using stacked fisher network for encoding weber local descriptor. - Xian-Hua Han; Yen-Wei Chen 001 (Pattern Recognit., 2017)

Classification of Focal Liver Lesions Using Deep Learning with Fine-Tuning. - Weibin Wang; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001; Qingqing Chen 001; Dong Liang; Lanfen Lin; Hongjie Hu; Qiaowei Zhang (DMIP, 2018)

Semi-Automatic Segmentation of Paranasal Sinus from CT images Using Fully Convolutional Networks. - Kun Xiong; Takahiro Kitamura; Yutaro Iwamoto; Xian-Hua Han; Naoki Matsushiro; Hiroshi Nishimura; Yen-Wei Chen 001 (GCCE, 2018)

SSF-CNN: Spatial and Spectral Fusion with CNN for Hyperspectral Image Super-Resolution. - Xian-Hua Han; Boxin Shi; Yinqiang Zheng (ICIP, 2018)

Classification of Pulmonary Emphysema in CT Images Based on Multi-Scale Deep Convolutional Neural Networks. - Liying Peng; Lanfen Lin; Hongjie Hu; Huali Li; Xiaoli Ling; Dan Wang; Xianhua Han; Yutaro Iwamoto; Yen-Wei Chen 001 (ICIP, 2018)

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 001; Yen-Wei Chen 001 (ICNC-FSKD, 2018)

Residual HSRCNN: Residual Hyper-Spectral Reconstruction CNN from an RGB Image. - Xian-Hua Han; Boxin Shi; Yinqiang Zheng (ICPR, 2018)

Interactive Liver Segmentation in CT Volumes Using Fully Convolutional Networks. - Titinunt Kitrungrotsakul; Yutaro Iwamoto; Xian-Hua Han; Wei Xiong 001; Lanfen Lin; Hongjie Hu; Huiyan Jiang; Yen-Wei Chen 001 (IIMSS, 2018)

Comprehensive Study of Multiple CNNs Fusion for Fine-Grained Dog Breed Categorization. - Minori Uno; Xian-Hua Han; Yen-Wei Chen 001 (ISM, 2018)

Multi-pathways CNN for robust vascular segmentation. - Titinunt Kitrungrotsakul; Xian-Hua Han; Xiong Wei 001; Yen-Wei Chen 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition. - Xian-Hua Han; JiandDe Sun; Lanfen Lin; Yen-Wei Chen 001 (MLMI@MICCAI, 2018)

Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images. - Dong Liang; Lanfen Lin; Hongjie Hu; Qiaowei Zhang; Qingqing Chen 001; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001 (MICCAI (2), 2018)

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 001; Dan Wang; Xian-Hua Han; Yutaro Iwamoto; Yen-Wei Chen 001 (DLMIA/ML-CDS@MICCAI, 2018)

Fast super-resolution with iterative-guided back projection for 3D MR images. - Yutaro Iwamoto; Xian-Hua Han; Akihiko Shiino; Yen-Wei Chen 001 (Image Processing, 2018)

Hyperspectral Image Classification Using Nonnegative Sparse Spectral Representation and Spatial Regularization. - Xian-Hua Han; Jian Wang 004; Jiande Sun 001; Yen-Wei Chen 001 (PCM (2), 2018)

Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-phase CT Images. - Jian Wang 004; Xian-Hua Han; Jiande Sun 001; Lanfen Lin; Hongjie Hu; Yingying Xu; Qingqing Chen 001; Yen-Wei Chen 001 (PCM (2), 2018)

Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions. - Dong Liang; Lanfen Lin; Hongjie Hu; Qiaowei Zhang; Qingqing Chen 001; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001 (PRICAI (1), 2018)

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. - Yingying Xu; Lanfen Lin; Hongjie Hu; Dan Wang; Wenchao Zhu; Jian Wang 004; Xian-Hua Han; Yen-Wei Chen 001 (Int. J. Comput. Assist. Radiol. Surg., 2018)

A Cascade of 2.5D CNN and LSTM Network for Mitotic Cell Detection in 4D Microscopy Image. - Titinunt Kitrungrotsakul; Xian-Hua Han; Yutaro Iwamoto; Satoko Takemoto; Hideo Yokota; Sari Ipponjima; Tomomi Nemoto; Wei Xiong 001; Yen-Wei Chen 001 (CoRR, 2018)

Generic and Specific Impressions Estimation and Their Application to KANSEI-Based Clothing Fabric Image Retrieval. - Yen-Wei Chen 001; Xinyin Huang; Dingye Chen; Xian-Hua Han (Int. J. Pattern Recognit. Artif. Intell., 2018)

Self-Similarity Constrained Sparse Representation for Hyperspectral Image Super-Resolution. - Xian-Hua Han; Boxin Shi; Yinqiang Zheng (IEEE Trans. Image Process., 2018)

Deep Residual Network of Spectral and Spatial Fusion for Hyperspectral Image Super-Resolution. - Xian-Hua Han; Yen-Wei Chen 001 (BigMM, 2019)

Residual Component Estimating CNN for Image Super-Resolution. - Xian-Hua Han; Yongqing Sun; Yen-Wei Chen 001 (BigMM, 2019)

Automatic Segmentation of the Paranasal Sinus from Computer Tomography Images Using a Probabilistic Atlas and a Fully Convolutional Network. - Yutaro Iwamoto; Kun Xiong; Takahiro Kitamura; Xian-Hua Han; Naoki Matsushiro; Hiroshi Nishimura; Yen-Wei Chen 001 (EMBC, 2019)

Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data. - Weibin Wang; Qingqing Chen 001; Yutaro Iwamoto; Xianhua Han; Qiaowei Zhang; Hongjie Hu; Lanfen Lin; Yen-Wei Chen 001 (EMBC, 2019)

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 001; Yen-Wei Chen 001 (ICASSP, 2019)

Multi-Level and Multi-Scale Spatial and Spectral Fusion CNN for Hyperspectral Image Super-Resolution. - Xian-Hua Han; Yinqiang Zheng; Yen-Wei Chen 001 (ICCV Workshops, 2019)

A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images. - Xiao Chen 016; Jian Wu; Lanfen Lin; Dong Liang; Hongjie Hu; Qiaowei Zhang; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (ICIP, 2019)

Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images. - Dong Liang; Ruofeng Tong 001; Jian Wu; Lanfen Lin; Xiao Chen 016; Hongjie Hu; Qiaowei Zhang; Qingqing Chen 001; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001 (ICIP, 2019)

A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images. - Xiao Chen 016; Lanfen Lin; Hongjie Hu; Qiaowei Zhang; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001; Ruofeng Tong 001; Jian Wu (DART/MIL3ID@MICCAI, 2019)

Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior. - Han Zheng; Lanfen Lin; Hongjie Hu; Qiaowei Zhang; Qingqing Chen 001; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001; Ruofeng Tong 001; Jian Wu (MICCAI (6), 2019)

VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation. - Titinunt Kitrungrotsakul; Xian-Hua Han; Yutaro Iwamoto; Lanfen Lin; Amir Hossein Foruzan; Wei Xiong 001; Yen-Wei Chen 001 (Comput. Medical Imaging Graph., 2019)

Three-Dimensional Embryonic Image Segmentation and Registration Based on Shape Index and Ellipsoid-Fitting Method. - Sihai Yang; Xianhua Han; Yen-Wei Chen 001 (J. Comput. Biol., 2019)

Spectral Representation via Data-Guided Sparsity for Hyperspectral Image Super-Resolution. - Xian-Hua Han; Yongqing Sun; Jian Wang 004; Boxin Shi; Yinqiang Zheng; Yen-Wei Chen 001 (Sensors, 2019)

Classification and Quantification of Emphysema Using a Multi-Scale Residual Network. - Liying Peng; Yen-Wei Chen 001; Lanfen Lin; Hongjie Hu; Huali Li; Qingqing Chen 001; Xiaoli Ling; Dan Wang; Xianhua Han; Yutaro Iwamoto (IEEE J. Biomed. Health Informatics, 2019)

Adaptive Semi-Supervised Feature Selection for Cross-Modal Retrieval. - En Yu; Jiande Sun 001; Jing Li 046; Xiaojun Chang; Xian-Hua Han; Alexander G. Hauptmann (IEEE Trans. Multim., 2019)

Spatial and Channel Attention Modulated Network for Medical Image Segmentation. - Wenhao Fang; Xian-Hua Han (ACCV Workshops, 2020)

Cell Detection and Segmentation in Microscopy Images with Improved Mask R-CNN. - Seiya Fujita; Xian-Hua Han (ACCV Workshops, 2020)

Unsupervised Multispectral and Hyperspectral Image Fusion with Deep Spatial and Spectral Priors. - Zhe Liu 039; Yinqiang Zheng; Xian-Hua Han (ACCV Workshops, 2020)

MCGKT-Net: Multi-level Context Gating Knowledge Transfer Network for Single Image Deraining. - Kohei Yamamichi; Xian-Hua Han (ACCV (2), 2020)

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation. - Huimin Huang 002; Lanfen Lin; Ruofeng Tong 001; Hongjie Hu; Qiaowei Zhang; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001; Jian Wu (ICASSP, 2020)

Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images. - Yusuke Yoshinobu; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Hongjie Hu; Qiaowei Zhang; Yen-Wei Chen 001 (ICCE, 2020)

Deep Residual Attention Network for Hyperspectral Image Reconstruction. - Yorimoto Kohei; Xian-Hua Han (ICPR, 2020)

WNET: An End-to-End Atlas-Guided and Boundary-Enhanced Network for Medical Image Segmentation. - Huimin Huang 002; Lanfen Lin; Ruofeng Tong 001; Hongjie Hu; Qiaowei Zhang; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001; Jian Wu (ISBI, 2020)

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 001; Qingqing Chen 001; Fang Wang 030; Hongjie Hu; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001 (MICCAI (4), 2020)

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. - Dong Liang; Yingying Xu; Lanfen Lin; Nan Zhou; Hongjie Hu; Qiaowei Zhang; Qingqing Chen 001; Xianhua Han; Yutaro Iwamoto; Yen-Wei Chen 001 (Commun. Inf. Syst., 2020)

Image super-resolution based on two-level residual learning CNN. - Min Gao 001; Xian-Hua Han; Jing Li 046; Hui Ji; Huaxiang Zhang 001; Jiande Sun 001 (Multim. Tools Appl., 2020)

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. - Titinunt Kitrungrotsakul; Xian-Hua Han; Yutaro Iwamoto; Satoko Takemoto; Hideo Yokota; Sari Ipponjima; Tomomi Nemoto; Wei Xiong 001; Yen-Wei Chen 001 (Neural Comput. Appl., 2020)

Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions. - Jian Wang 004; Jing Li 046; Xian-Hua Han; Lanfen Lin; Hongjie Hu; Yingying Xu; Qingqing Chen 001; Yutaro Iwamoto; Yen-Wei Chen 001 (Pattern Recognit. Lett., 2020)

Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations. - Liying Peng; Lanfen Lin; Hongjie Hu; Yue Zhang 042; Huali Li; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001 (IEEE J. Biomed. Health Informatics, 2020)

Hyperspectral Reconstruction with Redundant Camera Spectral Sensitivity Functions. - Xian-Hua Han; Yinqiang Zheng; Jiande Sun 001; Yen-Wei Chen 001 (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Multi-scale Residual Aggregation Deraining Network with Spatial Context-aware Pooling and Activation. - Kohei Yamamichi; Xian-Hua Han (BMVC, 2021)

Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer. - Panyanat Aonpong; Yutaro Iwamoto; Xian-Hua Han; Lanfen Lin; Yen-Wei Chen 001 (EMBC, 2021)

An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images. - He Li; Yutaro Iwamoto; Xianhua Han; Akira Furukawa; Shuzo Kanasaki; Yen-Wei Chen 001 (EMBC, 2021)

Graph-Based Pyramid Global Context Reasoning With a Saliency- Aware Projection for Covid-19 Lung Infections Segmentation. - Huimin Huang 002; Ming Cai; Lanfen Lin; Jing Zheng; Xiongwei Mao; Xiaohan Qian; Zhiyi Peng; Jianying Zhou 006; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (ICASSP, 2021)

Automatic Detection and Segmentation of Liver Tumors in Multi- phase CT Images by Phase Attention Mask R-CNN. - Ryo Hasegawa; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Hongjie Hu; Xiujun Cai; Yen-Wei Chen 001 (ICCE, 2021)

HyperMixNet: Hyperspectral Image Reconstruction with Deep Mixed Network from a Snapshot Measurement. - Yorimoto Kohei; Xian-Hua Han (ICCVW, 2021)

Deep Blind Un-Supervised Learning Network for Single Image Super Resolution. - Kazuhiro Yamawaki; Xian-Hua Han (ICIP, 2021)

3D Graph-S2Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution. - Huimin Huang 002; Nan Zhou; Lanfen Lin; Hongjie Hu; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (MICCAI (2), 2021)

Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance. - Hongyi Wang 002; Lanfen Lin; Hongjie Hu; Qingqing Chen 001; Yinhao Li; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (MICCAI (1), 2021)

Multi-Scale Context Interaction Learning network for Medical Image Segmentation. - Wenhao Fang; Xian-Hua Han; Xu Qiao; Huiyan Jiang; Yen-Wei Chen 001 (MIPR, 2021)

A Tensor Sparse Representation-Based CBMIR System for Computer-Aided Diagnosis of Focal Liver Lesions and its Pilot Trial. - Jian Wang 004; Xian-Hua Han; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (ICMR, 2021)

Angular Margin Constrained Loss for Automatic Liver Fibrosis Staging. - Katsuhiro Nakai; Xu Qiao; Xian-Hua Han (MVA, 2021)

Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer. - Panyanat Aonpong; Yutaro Iwamoto; Xian-Hua Han; Lanfen Lin; Yen-Wei Chen 001 (IEEE Access, 2021)

Lightweight Multi-Scale Context Aggregation Deraining Network With Artifact-Attenuating Pooling and Activation Functions. - Kohei Yamamichi; Xian-Hua Han (IEEE Access, 2021)

PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images. - Yingying Xu; Ming Cai; Lanfen Lin; Yue Zhang 042; Hongjie Hu; Zhiyi Peng; Qiaowei Zhang; Qingqing Chen 001; Xiongwei Mao; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; et al. (CoRR, 2021)

Deep Unsupervised Fusion Learning for Hyperspectral Image Super Resolution. - Zhe Liu 039; Yinqiang Zheng; Xian-Hua Han (Sensors, 2021)

A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image. - Titinunt Kitrungrotsakul; Xian-Hua Han; Yutaro Iwamoto; Satoko Takemoto; Hideo Yokota; Sari Ipponjima; Tomomi Nemoto; Wei Xiong 001; Yen-Wei Chen 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Medical Image Segmentation With Deep Atlas Prior. - Huimin Huang 002; Han Zheng; Lanfen Lin; Ming Cai; Hongjie Hu; Qiaowei Zhang; Qingqing Chen 001; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (IEEE Trans. Medical Imaging, 2021)

Deep RGB-Driven Learning Network for Unsupervised Hyperspectral Image Super-Resolution. - Zhe Liu 039; Xian-Hua Han (ACCV (Workshops), 2022)

Lightweight Hyperspectral Image Reconstruction Network with Deep Feature Hallucination. - Kazuhiro Yamawaki; Xian-Hua Han (ACCV (Workshops), 2022)

Dual Heterogeneous Complementary Networks for Single Image Deraining. - Yuuto Nanba; Hikaru Miyata; Xian-Hua Han (CVPR Workshops, 2022)

Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer. - Yang Ai; Panyanat Aonpong; Weibin Wang; Yinhao Li; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001 (EMBC, 2022)

Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images. - Swathi Ananda; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (EMBC, 2022)

Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images. - Rahul Kumar Jain 001; Takahiro Sato; Taro Watasue; Tomohiro Nakagawa; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Hongjie Hu; Xiang Ruan; Yen-Wei Chen 001 (EMBC, 2022)

Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network. - Yulin Yang; Yutaro Iwamoto; Yen-Wei Chen 001; Caie Xu; Qingqing Chen 001; Hongjie Hu; Xian-Hua Han; Ruofeng Tong 001; Lanfen Lin (EMBC, 2022)

Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image. - Weibin Wang; Fang Wang 030; Yunjun Yang; Yinhao Li; Jing Liu 041; Xianhua Han; Lanfen Lin; Ruofeng Tong 001; Hongjie Hu; Yen-Wei Chen 001 (GCCE, 2022)

Mixed Transformer U-Net for Medical Image Segmentation. - Hongyi Wang 002; Shiao Xie; Lanfen Lin; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (ICASSP, 2022)

A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images. - He Li; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Ruofeng Tong 001; Hongjie Hu; Akira Furukawa; Shuzo Kanasaki; Yen-Wei Chen 001 (ICCE, 2022)

Unsupervised Generative Network for Blind Hyperspectral Image Super-Resolution. - Zhe Liu 039; Xianhua Han; Jiande Sun 001; Yen-Wei Chen 001 (ICIP, 2022)

Generalized Deep Internal Learning for Hyperspectral Image Super Resolution. - Zhe Liu 039; Xian-Hua Han (ICIP, 2022)

Hyperspectral Reconstruction Using Auxiliary Rgb Learning From A Snapshot Image. - Kazuhiro Yamawaki; Yorimoto Kohei; Xian-Hua Han (ICIP, 2022)

ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation. - Huimin Huang 002; Shiao Xie; Lanfen Lin; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (IJCAI, 2022)

DPE-BoTNeT: Dual Position Encoding Bottleneck Transformer Network for Skin Lesion Classification. - Katsuhiro Nakai; Xian-Hua Han (ISBI, 2022)

An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesions. - He Li; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (MICCAI (8), 2022)

Deep Unsupervised Blind Learning for Single Image Super Resolution. - Kazuhiro Yamawaki; Xian-Hua Han (MIPR, 2022)

Multi-Scale Channel Transformer Network for Single Image Deraining. - Yuto Namba; Xian-Hua Han (MMAsia, 2022)

Deep Image and Kernel Prior Learning for Blind Super-Resolution. - Kazuhiro Yamawaki; Xian-Hua Han (MMAsia, 2022)

Enhanced deep bottleneck transformer model for skin lesion classification. - Katsuhiro Nakai; Yen-Wei Chen 001; Xian-Hua Han (Biomed. Signal Process. Control., 2022)

Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance. - Hongyi Wang 002; Lanfen Lin; Hongjie Hu; Qingqing Chen 001; Yinhao Li; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (CoRR, 2022)

Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation. - Shaocong Mo; Ming Cai; Lanfen Lin; Ruofeng Tong 001; Qingqing Chen 001; Fang Wang 030; Hongjie Hu; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

MTL-ABS3Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images. - Huimin Huang 002; Qingqing Chen 001; Lanfen Lin; Ming Cai; Qiaowei Zhang; Yutaro Iwamoto; Xianhua Han; Akira Furukawa; Shuzo Kanasaki; Yen-Wei Chen 001; Ruofeng Tong 001; Hongjie Hu (IEEE J. Biomed. Health Informatics, 2022)

Deep Self-Supervised Hyperspectral Image Reconstruction. - Zhe Liu 039; Xian-Hua Han (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Hyperspectral Image Reconstruction Using Multi-scale Fusion Learning. - Xian-Hua Han; Yinqiang Zheng; Yen-Wei Chen 001 (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images. - Rahul Kumar Jain 001; 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 001 (EMBC, 2023)

Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images. - Yulin Yang; Yinhao Li; Qingqing Chen 001; Xian-Hua Han; Jing Liu 041; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (EMBC, 2023)

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

Coarse-To-Fine Pyramid Feature Mining for Wheat Head Detection. - Sho Harada; Xian-Hua Han (ICIP, 2023)

Coupling Spatial and Channel Transformer for Single Image Deraining. - Yuto Namba; Jiande Sun 001; Xian-Hua Han (ICIP, 2023)

A Hybrid Wheat Head Detection model with Incorporated CNN and Transformer. - Sho Harada; Xian-Hua Han (MVA, 2023)

Investigating self-supervised learning for Skin Lesion Classification. - Takumi Morita; Xian-Hua Han (MVA, 2023)

Bottleneck Transformer model with Channel Self-Attention for skin lesion classification. - Masato Tada; Xian-Hua Han (MVA, 2023)

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 (PerCom Workshops, 2023)

IDH mutation status prediction by a radiomics associated modality attention network. - Xinran Zhang; Xiaoyu Shi; Yutaro Iwamoto; Jingliang Cheng; Jie Bai; Guohua Zhao; Xian-Hua Han; Yen-Wei Chen 001 (Vis. Comput., 2023)

Zero-Shot Blind Learning for Single-Image Super-Resolution. - Kazuhiro Yamawaki; Xian-Hua Han (Inf., 2023)

3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation. - He Li; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Akira Furukawa; Shuzo Kanasaki; Yen-Wei Chen 001 (IEICE Trans. Inf. Syst., 2023)

A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation. - Guoyu Tong; Huiyan Jiang; Tianyu Shi; Xian-Hua Han; Yu-Dong Yao (IEEE J. Biomed. Health Informatics, 2023)

Hierarchical Feature Aggregation Network Based on Swin Transformer for Medical Image Segmentation. - Hayato Iyoda; Yongqing Sun; Xian-Hua Han (ACCV Workshops (2), 2024)

GANs-guided Conditional Diffusion Model for Synthesizing Contrast-enhanced Computed Tomography Images. - Yulin Yang; Jing Liu 041; Qingqing Chen 001; Yinhao Li; Xian-Hua Han; Hongjie Hu; Lanfen Lin; Yen-Wei Chen 001 (EMBC, 2024)

Dual Directional Complementary Gradient Fusion and Deep Refinement for Hyperspectral Image Super Resolution. - YinWei Du; Jian Wang 004; Xing Wu 001; Xian-Hua Han (ICASSP, 2024)

Hyperspectral Image Reconstruction Using Hierarchical Neural Architecture Search from A Snapshot Image. - Xian-Hua Han; Huiyan Jiang; Yen-Wei Chen 001 (ICASSP, 2024)

Deep Versatile Hyperspectral Reconstruction Model from A Snapshot Measurement with Arbitrary Masks. - Takumi Takabe; Xian-Hua Han; Yen-Wei Chen 001 (ICASSP, 2024)

Lesion Feature Extraction and Classification Optimization Method Using Dynamic Fusion of Global Attention and Local Attention. - Xueyao Cui; Huiyan Jiang; Yang Zhou; Xianhua Han; Xuena Li; Yan Pei 001 (IJCNN, 2024)

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 001; Jian Wang 004 (CARE@MICCAI, 2024)

Extraction and Classification of Lung Nodule Features Using Fusion Method of Self-Supervised Encoder Learning and Supervised Transfer Learning. - Siqiao Yi; Huiyan Jiang; Yang Zhou; Guoyu Tong; Rongfei Zeng; Xianhua Han; Yan Pei 001 (SCIS/ISIS, 2024)

DEA: Data-efficient augmentation for interpretable medical image segmentation. - Xing Wu 001; Zhi Li; Chenjie Tao; Xianhua Han; Yen-Wei Chen 001; Junfeng Yao; Jian Zhang; Qun Sun; Weimin Li 001; Yue Liu; Yike Guo (Biomed. Signal Process. Control., 2024)

TopMarker: Computational screening biomarkers of hepatocellular carcinoma from transcriptome and interactome based on differential network topological parameters. - Yanqiu Wang; Tong Wang; Yi Cao; Xu Qiao; Xianhua Han; Zhi-Ping Liu (Comput. Biol. Chem., 2024)

Coupled image and kernel prior learning for high-generalized super-resolution. - Xian-Hua Han; Kazuhiro Yamawaki; Huiyan Jiang (Neurocomputing, 2024)

Hyperspectral image super resolution using deep internal and self-supervised learning. - Zhe Liu 039; Xian-Hua Han (CAAI Trans. Intell. Technol., 2024)

FedEL: Federated ensemble learning for non-iid data. - Xing Wu 001; Jie Pei; Xian-Hua Han; Yen-Wei Chen 001; Junfeng Yao; Yang Liu 005; Quan Qian; Yike Guo (Expert Syst. Appl., 2024)

Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. - Yulin Yang; Qingqing Chen 001; Yinhao Li; Fang Wang 030; Xian-Hua Han; Yutaro Iwamoto; Jing Liu 041; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (IEEE J. Biomed. Health Informatics, 2024)

Multi-Degradation Oriented Deep Unfolding Model for Hyperspectral Image Reconstruction. - Xianhua Han; Jian Wang 004 (ICASSP, 2025)

Deep Dual Internal Learning for Hyperspectral Image Super-Resolution. - Yongqing Sun; Hong Liu 009; Qiong Chang; Xianhua Han (MMM (1), 2025)

Hierarchical multiscale feature fusion spectral transformer for the generation of medical hyperspectral image. - Quanyu E; Huiyan Jiang; Guoyu Tong; Xianhua Han (Appl. Soft Comput., 2025)

High-Generalized Unfolding Model With Coupled Spatial-Spectral Transformer for Hyperspectral Image Reconstruction. - Xian-Hua Han (IEEE Trans. Computational Imaging, 2025)

CoCoDiff: Diversifying Skeleton Action Features via Coarse-Fine Text-Co-Guided Latent Diffusion. - Zhifu Zhao; Xian-Hua Han; Jianan Li 003; Shaoxin Wu; Fu Li 002; Yangtao Zhou; Yang Li 019 (CoRR, 2025)

Deep RGB-guided generative network for unsupervised hyperspectral image super-resolution. - Xian-Hua Han; Zhe Liu 039 (Appl. Intell., 2025)