X. Han

Yen-Wei Chen, Xian-Hua Han, Yutaro Iwamoto, 2016, 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

A robust registration method using Huber ICP and low rank and sparse decomposition

Yen-Wei Chen, Xian-Hua Han, Qiaochu Zhao, 2015, 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

Sparse and Low-Rank Matrix Decomposition for Local Morphological Analysis to Diagnose Cirrhosis

Yen-Wei Chen, Gang Xu, Xian-Hua Han, 2014, IEICE Trans. Inf. Syst..

Adaptive Noise Reduction and Edge Enhancement in Medical Images by Using ICA

Xian-Hua Han, Yen-Wei Chen, X. Han, 2014 .

Generalized N-dimensional independent component analysis and its application to multiple feature selection and fusion for image classification

Danni Ai, Yen-Wei Chen, Xian-Hua Han, 2013, Neurocomputing.

Independent component analysis of color SIFT for Image Classification

Danni Ai, Yen-Wei Chen, Xian-Hua Han, 2011, 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing.

Global Selection vs Local Ordering of Color SIFT Independent Components for Object/Scene Classification

Danni Ai, Yen-Wei Chen, Xian-Hua Han, 2011, IEICE Trans. Inf. Syst..

A robust method based on ICA and mixture sparsity for edge detection in medical images

Yen-Wei Chen, Xian-Hua Han, X. Han, 2011, Signal Image Video Process..

Color Independent Components Based SIFT Descriptors for Object/Scene Classification

Danni Ai, Yen-Wei Chen, Xian-Hua Han, 2010, IEICE Trans. Inf. Syst..

Adaptive Color Independent Components Based SIFT Descriptors for Image Classification

Danni Ai, Yen-Wei Chen, Xian-Hua Han, 2010, 2010 20th International Conference on Pattern Recognition.

Discriminant statistical analysis of local facial geometrical regions

Yen-Wei Chen, Xian-Hua Han, Ryosuke Kimura, 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).

IDH mutation status prediction by a radiomics associated modality attention network

Guohua Zhao, Y. Iwamoto, Jingliang Cheng, 2022, The Visual Computer.

Adaptive color discrimination for image classification

Yen-Wei Chen, Xian-Hua Han, Motoki Nakajima, 2013, 2013 6th International Conference on Biomedical Engineering and Informatics.

Image Categorization with PCA-SICEF

Yen-Wei Chen, Atsushi Okamoto, Xian-Hua Han, 2009, 2009 Fifth International Conference on Natural Computation.

Residual HSRCNN: Residual Hyper-Spectral Reconstruction CNN from an RGB Image

Xian-Hua Han, Boxin Shi, Yinqiang Zheng, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Assessing gray matter volume in patients with idiopathic rapid eye movement sleep behavior disorder

C. Zuo, Wei-jun Tang, Jian Wang, 2019, Neural regeneration research.

Segmentation of liver and spleen based on computational anatomy models

Yen-Wei Chen, Gang Xu, Xian-Hua Han, 2015, Comput. Biol. Medicine.

Dual Heterogeneous Complementary Networks for Single Image Deraining

X. Han, Yuuto Nanba, Hikaru Miyata, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Lightweight Multi-Scale Context Aggregation Deraining Network With Artifact-Attenuating Pooling and Activation Functions

Xian-Hua Han, Kohei Yamamichi, X. Han, 2021, IEEE Access.

Conductive and Eco-friendly Gluten/MXene Composite Organohydrogels for Flexible, Adhesive, and Low-temperature Tolerant Epidermal Strain Sensors

Keyan Yang, X. Han, Hang Xu, 2021, Colloids and Surfaces A: Physicochemical and Engineering Aspects.

Principal Component Analysis for Prediction of O-Linked Glycosylation Sites in Protein by Multi-Layered Neural Networks

Yen-Wei Chen, Xian-Hua Han, Masahiro Ito, 2009, 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing.

Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer

Xian-Hua Han, Yutaro Iwamoto, Lanfen Lin, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Generic and Specific Impressions Estimation and Their Application to KANSEI-Based Clothing Fabric Image Retrieval

Yen-Wei Chen, Xian-Hua Han, Dingye Chen, 2018, Int. J. Pattern Recognit. Artif. Intell..

Mixed Transformer U-Net for Medical Image Segmentation pdf

Xian-Hua Han, Yen-Wei Chen, Yutaro Iwamoto, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

SSF-CNN: Spatial and Spectral Fusion with CNN for Hyperspectral Image Super-Resolution

Xian-Hua Han, Boxin Shi, Yinqiang Zheng, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Hyperspectral Image Reconstruction Using Multi-scale Fusion Learning

Yinqiang Zheng, X. Han, Yenwei Chen, 2022, ACM Trans. Multim. Comput. Commun. Appl..

High-Order Statistics of Weber Local Descriptors for Image Representation

Yen-Wei Chen, Gang Xu, Xian-Hua Han, 2015, IEEE Transactions on Cybernetics.

High-Order Statistics of Microtexton for HEp-2 Staining Pattern Classification

Jian Wang, Yen-Wei Chen, Gang Xu, 2014, IEEE Transactions on Biomedical Engineering.

Case Discrimination: Self-supervised Feature Learning for the Classification of Focal Liver Lesions

Yen-Wei Chen, Yutaro Iwamoto, Lanfen Lin, 2021 .

GND-PCA Method for Identification of Gene Functions Involved in Asymmetric Division of C. elegans

X. Han, Sihai Yang, Yen-Wei Chen, 2023, Mathematics.

Lightweight Hyperspectral Image Reconstruction Network with Deep Feature Hallucination

X. Han, K. Yamawaki, 2022, ACCV.

Erratum: EFNet: evidence fusion network for tumor segmentation from PET-CT volumes (2021 Phys. Med. Biol. 66 205005)

Huiyan Jiang, Yu-dong Yao, Tianyu Shi, 2021, Physics in medicine and biology.

Residual Sparse Autoencoders for Unsupervised Feature Learning and Its Application to HEp-2 Cell Staining Pattern Recognition

Yen-Wei Chen, Xian-Hua Han, X. Han, 2019 .

3D Graph-S2Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution

Xian-Hua Han, Yen-Wei Chen, Yutaro Iwamoto, 2021, MICCAI.

Robust hepatic vessel segmentation using multi deep convolution network

Yen-Wei Chen, Xian-Hua Han, Yutaro Iwamoto, 2017, Medical Imaging.

Deep Self-Supervised Hyperspectral Image Reconstruction

X. Han, Zhe Liu, 2022, ACM Trans. Multim. Comput. Commun. Appl..

Phenotype Analysis Method for Identification of Gene Functions Involved in Asymmetric Division of Caenorhabditis elegans

Yen-Wei Chen, Xian-Hua Han, Yukako Tohsato, 2017, J. Comput. Biol..

Comprehensive Study of Multiple CNNs Fusion for Fine-Grained Dog Breed Categorization

Yen-Wei Chen, Xian-Hua Han, Minori Uno, 2018, 2018 IEEE International Symposium on Multimedia (ISM).

Semi-supervised and Interactive Semantic Concept Learning for Scene Recognition

Yen-Wei Chen, Xian-Hua Han, Xiang Ruan, 2010, 2010 20th International Conference on Pattern Recognition.

Co-occurrence context of the data-driven quantized local ternary patterns for visual recognition

Yen-Wei Chen, Gang Xu, Xian-Hua Han, 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).

Multilinear Supervised Neighborhood Embedding of a Local Descriptor Tensor for Scene/Object Recognition

Yen-Wei Chen, Xian-Hua Han, Xiang Ruan, 2012, IEEE Transactions on Image Processing.

Robust local ternary patterns for texture categorization

Yen-Wei Chen, Gang Xu, Xian-Hua Han, 2013, 2013 6th International Conference on Biomedical Engineering and Informatics.

Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network

Y. Iwamoto, Lanfen Lin, Ruofeng Tong, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-phase CT Images

Jian Wang, Yen-Wei Chen, Xian-Hua Han, 2018, PCM.

HEp-2 Cell Classification Using K-Support Spatial Pooling in Deep CNNs

Yen-Wei Chen, Xian-Hua Han, Jianmei Lei, 2016, LABELS/DLMIA@MICCAI.

HEp-2 staining pattern recognition using stacked fisher network for encoding weber local descriptor

Yen-Wei Chen, Xian-Hua Han, Gang Xu, 2015, Pattern Recognit..

Fisher Vector of Micro-Texton for HEp-2 Staining Pattern Classification

Xian-Hua Han, Yen-Wei Chen, X. Han, 2014 .

Multilinear Supervised Neighborhood Preserving Embedding Analysis of Local Descriptor Tensor

X. Han, Yenwei Chen, 2012 .

Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency Guidance

Y. Iwamoto, Lanfen Lin, Ruofeng Tong, 2022, 2210.14645.

Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance

Y. Iwamoto, Lanfen Lin, Hongjie Hu, 2022, arXiv.org.

Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance

Xian-Hua Han, Yen-Wei Chen, Yutaro Iwamoto, 2021, MICCAI.

Integration of spatial and orientation contexts in local ternary patterns for HEp-2 cell classification

Xian-Hua Han, Yen-Wei Chen, Gang Xu, 2016, Pattern Recognit. Lett..

Coccurrence Statistics of Local Ternary Patterns for HEp-2 Cell Classification

Xian-Hua Han, Yen-Wei Chen, Gang Xu, 2016 .

Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation

Y. Iwamoto, Lanfen Lin, Ruofeng Tong, 2022, IEEE Transactions on Circuits and Systems for Video Technology.

Deep Image and Kernel Prior Learning for Blind Super-Resolution

X. Han, K. Yamawaki, 2022, MMAsia.

Bayesian Saliency Model for Focal Liver Lesion Enhancement and Detection

Jian Wang, Yen-Wei Chen, Xian-Hua Han, 2016, ACCV Workshops.

Investigating self-supervised learning for Skin Lesion Classification

X. Han, Takumi Morita, 2023, 2023 18th International Conference on Machine Vision and Applications (MVA).

Bottleneck Transformer model with Channel Self-Attention for skin lesion classification

X. Han, Masato Tada, 2023, 2023 18th International Conference on Machine Vision and Applications (MVA).

A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation

Yuan Yao, Huiyan Jiang, Tianyu Shi, 2023, IEEE Journal of Biomedical and Health Informatics.

EFNet: evidence fusion network for tumor segmentation from PET-CT volumes

Huiyan Jiang, Tianyu Shi, X. Han, 2021, Physics in medicine and biology.