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Publications
- 2024
[j62]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)- [j59]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 Syst. Appl. 237(Part A): 121390 (2024) - [j57]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) - [c154]Takumi Takabe, Xian-Hua Han, Yen-Wei Chen:
Deep Versatile Hyperspectral Reconstruction Model from A Snapshot Measurement with Arbitrary Masks. ICASSP 2024: 2390-2394 - [c153]Xian-Hua Han, Huiyan Jiang, Yen-Wei Chen:
Hyperspectral Image Reconstruction Using Hierarchical Neural Architecture Search from A Snapshot Image. ICASSP 2024: 2500-2504 - 2023
- [j56]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) - [j53]Xinran Zhang, Xiaoyu Shi, Yutaro Iwamoto, Jingliang Cheng, Jie Bai, Guohua Zhao, Xian-Hua Han, Yen-Wei Chen:
IDH mutation status prediction by a radiomics associated modality attention network. Vis. Comput. 39(6): 2367-2379 (2023) - [c151]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 - [c150]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 - 2022
- [j52]Katsuhiro Nakai, Yen-Wei Chen, Xian-Hua Han:
Enhanced deep bottleneck transformer model for skin lesion classification. Biomed. Signal Process. Control. 78: 103997 (2022) - [j51]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 Trans. Circuits Syst. Video Technol. 32(5): 2512-2526 (2022) - [j50]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) - [j49]Xian-Hua Han, Yinqiang Zheng, Yen-Wei Chen:
Hyperspectral Image Reconstruction Using Multi-scale Fusion Learning. ACM Trans. Multim. Comput. Commun. Appl. 18(1): 16:1-16:21 (2022) - [c139]Yang Ai, Panyanat Aonpong, Weibin Wang, Yinhao Li, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen:
Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer. EMBC 2022: 447-450 - [c138]Rahul Kumar Jain, Takahiro Sato, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Xianhua 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 - [c137]Swathi Ananda, Yutaro Iwamoto, Xianhua 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 - [c136]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 - [c135]Weibin Wang, Fang Wang, Yunjun Yang, Yinhao Li, Jing Liu, Xianhua 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 - [c134]Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Mixed Transformer U-Net for Medical Image Segmentation. ICASSP 2022: 2390-2394 - [c133]He Li, Yutaro Iwamoto, Xianhua 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 - [c131]Zhe Liu, Xianhua Han, Jiande Sun, Yen-Wei Chen:
Unsupervised Generative Network for Blind Hyperspectral Image Super-Resolution. ICIP 2022: 2621-2625 - [c129]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 - [c127]He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesions. MICCAI (8) 2022: 214-223 - [i9]Huimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong:
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation. CoRR abs/2207.14552 (2022) - [i8]Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance. CoRR abs/2210.14645 (2022) - 2021
- [j47]Panyanat 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) - [j44]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, Yen-Wei Chen:
A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 396-404 (2021) - [j43]Huimin Huang, Han Zheng, Lanfen Lin, Ming Cai, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong:
Medical Image Segmentation With Deep Atlas Prior. IEEE Trans. Medical Imaging 40(12): 3519-3530 (2021) - [c122]He Li, Yutaro Iwamoto, Xianhua Han, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen:
An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images. EMBC 2021: 3309-3312 - [c121]Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen:
Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer. EMBC 2021: 3561-3564 - [c120]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:
Graph-Based Pyramid Global Context Reasoning With a Saliency- Aware Projection for Covid-19 Lung Infections Segmentation. ICASSP 2021: 1050-1054 - [c119]Ryo Hasegawa, Yutaro Iwamoto, Xianhua 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 - [c116]Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance. MICCAI (1) 2021: 131-141 - [c115]Huimin Huang, Nan Zhou, Lanfen Lin, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
3D Graph-S2Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution. MICCAI (2) 2021: 416-427 - [c114]Wenhao Fang, Xian-Hua Han, Xu Qiao, Huiyan Jiang, Yen-Wei Chen:
Multi-Scale Context Interaction Learning network for Medical Image Segmentation. MIPR 2021: 192-198 - [c113]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 - [i7]Yingying 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. CoRR abs/2103.00274 (2021) - [i6]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:
Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation. CoRR abs/2103.04235 (2021) - [i5]Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen:
Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small-Cell Lung Cancer. CoRR abs/2104.14420 (2021) - [i4]Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Mixed Transformer U-Net For Medical Image Segmentation. CoRR abs/2111.04734 (2021) - 2020
- [j42]Dong Liang, Yingying Xu, Lanfen Lin, Nan Zhou, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Xianhua Han, Yutaro 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) - [j40]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, 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 Comput. Appl. 32(10): 5669-5679 (2020) - [j39]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 Recognit. Lett. 130: 207-215 (2020) - [j38]Liying Peng, Lanfen Lin, Hongjie Hu, Yue Zhang, Huali Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen:
Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations. IEEE J. Biomed. Health Informatics 24(8): 2327-2336 (2020) - [j37]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) - [c107]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 - [c106]Yusuke Yoshinobu, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yen-Wei Chen:
Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images. ICCE 2020: 1-4 - [c104]Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu:
WNET: An End-to-End Atlas-Guided and Boundary-Enhanced Network for Medical Image Segmentation. ISBI 2020: 763-766 - [c103]Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen:
Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks. MICCAI (4) 2020: 429-438 - [i3]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
- [j36]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Lanfen Lin, Amir Hossein Foruzan, Wei Xiong, Yen-Wei Chen:
VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation. Comput. Medical Imaging Graph. 75: 74-83 (2019) - [j35]Sihai Yang, Xianhua Han, Yen-Wei Chen:
Three-Dimensional Embryonic Image Segmentation and Registration Based on Shape Index and Ellipsoid-Fitting Method. J. Comput. Biol. 26(2): 128-142 (2019) - [j34]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 19(24): 5401 (2019) - [j33]Liying Peng, Yen-Wei Chen, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen, Xiaoli Ling, Dan Wang, Xianhua Han, Yutaro Iwamoto:
Classification and Quantification of Emphysema Using a Multi-Scale Residual Network. IEEE J. Biomed. Health Informatics 23(6): 2526-2536 (2019) - [c102]Xian-Hua Han, Yen-Wei Chen:
Deep Residual Network of Spectral and Spatial Fusion for Hyperspectral Image Super-Resolution. BigMM 2019: 266-270 - [c101]Xian-Hua Han, Yongqing Sun, Yen-Wei Chen:
Residual Component Estimating CNN for Image Super-Resolution. BigMM 2019: 443-447 - [c100]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 - [c99]Weibin Wang, Qingqing Chen, Yutaro Iwamoto, Xianhua 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 - [c98]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: 1239-1243 - [c97]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 - [c96]Xiao Chen, Jian Wu, Lanfen Lin, Dong Liang, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images. ICIP 2019: 235-239 - [c95]Dong Liang, Ruofeng Tong, Jian Wu, Lanfen Lin, Xiao Chen, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen:
Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images. ICIP 2019: 794-798 - [c94]Xiao Chen, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua 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 - [c93]Han Zheng, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu:
Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior. MICCAI (6) 2019: 148-156 - 2018
- [j31]Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Wenchao Zhu, 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. Int. J. Comput. Assist. Radiol. Surg. 13(1): 151-164 (2018) - [j30]Yen-Wei Chen, Xinyin Huang, Dingye Chen, Xian-Hua Han:
Generic and Specific Impressions Estimation and Their Application to KANSEI-Based Clothing Fabric Image Retrieval. Int. J. Pattern Recognit. Artif. Intell. 32(10): 1854024:1-1854024:18 (2018) - [c92]Weibin Wang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Qingqing Chen, Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang:
Classification of Focal Liver Lesions Using Deep Learning with Fine-Tuning. DMIP 2018: 56-60 - [c91]Kun Xiong, Takahiro Kitamura, Yutaro Iwamoto, Xian-Hua Han, Naoki Matsushiro, Hiroshi Nishimura, Yen-Wei Chen:
Semi-Automatic Segmentation of Paranasal Sinus from CT images Using Fully Convolutional Networks. GCCE 2018: 268-269 - [c89]Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Xiaoli Ling, Dan Wang, Xianhua Han, Yutaro Iwamoto, Yen-Wei Chen:
Classification of Pulmonary Emphysema in CT Images Based on Multi-Scale Deep Convolutional Neural Networks. ICIP 2018: 3119-3123 - [c88]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Xiong Wei, Yen-Wei Chen:
A 2.5D Cascaded Convolutional Neural Network with Temporal Information for Automatic Mitotic Cell Detection in 4D Microscopic Images. ICNC-FSKD 2018: 202-205 - [c86]Titinunt Kitrungrotsakul, Yutaro Iwamoto, Xian-Hua Han, Wei Xiong, Lanfen Lin, Hongjie Hu, Huiyan Jiang, Yen-Wei Chen:
Interactive Liver Segmentation in CT Volumes Using Fully Convolutional Networks. IIMSS 2018: 216-222 - [c85]Minori Uno, Xian-Hua Han, Yen-Wei Chen:
Comprehensive Study of Multiple CNNs Fusion for Fine-Grained Dog Breed Categorization. ISM 2018: 198-203 - [c84]Titinunt Kitrungrotsakul, Xian-Hua Han, Xiong Wei, Yen-Wei Chen:
Multi-pathways CNN for robust vascular segmentation. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105781S - [c83]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. DLMIA/ML-CDS@MICCAI 2018: 38-46 - [c82]Xian-Hua Han, JiandDe Sun, Lanfen Lin, Yen-Wei Chen:
Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition. MLMI@MICCAI 2018: 134-142 - [c81]Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen:
Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images. MICCAI (2) 2018: 666-675 - [c80]Yutaro Iwamoto, Xian-Hua Han, Akihiko Shiino, Yen-Wei Chen:
Fast super-resolution with iterative-guided back projection for 3D MR images. Medical Imaging: Image Processing 2018: 105741T - [c79]Xian-Hua Han, Jian Wang, Jiande Sun, Yen-Wei Chen:
Hyperspectral Image Classification Using Nonnegative Sparse Spectral Representation and Spatial Regularization. PCM (2) 2018: 180-189 - [c78]Jian Wang, Xian-Hua Han, Jiande Sun, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, Yen-Wei Chen:
Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-phase CT Images. PCM (2) 2018: 696-704 - [c77]Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen:
Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions. PRICAI (1) 2018: 617-628 - [i1]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, Yen-Wei Chen:
A Cascade of 2.5D CNN and LSTM Network for Mitotic Cell Detection in 4D Microscopy Image. CoRR abs/1806.01018 (2018) - 2017
- [j28]Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen:
Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images. Int. J. Biomed. Imaging 2017: 1413297:1-1413297:13 (2017) - [j27]Xian-Hua Han, Yen-Wei Chen:
Generalized Aggregation of Sparse Coded Multi-Spectra for Satellite Scene Classification. ISPRS Int. J. Geo Inf. 6(6): 175 (2017) - [j26]Xian-Hua Han, Yen-Wei Chen, Gang Xu:
Co-occurrence context of the data-driven quantized local ternary patterns for visual recognition. IPSJ Trans. Comput. Vis. Appl. 9: 4 (2017) - [j25]Sihai Yang, Xian-Hua Han, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa, Yen-Wei Chen:
Phenotype Analysis Method for Identification of Gene Functions Involved in Asymmetric Division of Caenorhabditis elegans. J. Comput. Biol. 24(5): 436-446 (2017) - [j24]Xian-Hua Han, Yen-Wei Chen:
HEp-2 staining pattern recognition using stacked fisher network for encoding weber local descriptor. Pattern Recognit. 63: 542-550 (2017) - [c76]Liying Peng, Lanfen Lin, Hongjie Hu, Xiaoli Ling, Dan Wang, Xian-Hua Han, Yen-Wei Chen:
Joint weber-based rotation invariant uniform local ternary pattern for classification of pulmonary emphysema in CT images. ICIP 2017: 2050-2054 - [c75]Xian-Hua Han, Jan Wang, Boxin Shi, Yinqiang Zheng, Yen-Wei Chen:
Hyper-spectral Image Super-resolution Using Non-negative Spectral Representation with Data-Guided Sparsity. ISM 2017: 500-506 - [c74]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. ISM 2017: 507-510 - [c73]Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Amir Hossein Foruzan, Lanfen Lin, Yen-Wei Chen:
Robust hepatic vessel segmentation using multi deep convolution network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 1013711 - 2016
- [j22]Xian-Hua Han, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa, 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 Trans. Comput. Vis. Appl. 8: 8 (2016) - [j21]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. J. Intell. Fuzzy Syst. 31(2): 903-913 (2016) - [j20]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. J. Inf. Process. 24(2): 320-329 (2016) - [j19]Xian-Hua Han, Yen-Wei Chen, Gang Xu:
Integration of spatial and orientation contexts in local ternary patterns for HEp-2 cell classification. Pattern Recognit. Lett. 82: 23-27 (2016) - [c72]Xian-Hua Han, Jian Wang, Yuu Konno, Yen-Wei Chen:
Bayesian Saliency Model for Focal Liver Lesion Enhancement and Detection. ACCV Workshops (3) 2016: 32-45 - [c71]Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, Jian Wang, Xian-Hua Han, Yen-Wei Chen:
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. CISP-BMEI 2016: 806-810 - [c70]Shota Sasano, Xian-Hua Han, Yen-Wei Chen:
Food recognition by combined bags of color features and texture features. CISP-BMEI 2016: 815-819 - [c69]Katsuhisa Ogawa, Yuri Yamaguchi, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen:
SIFT-based multi-frame super resolution for 250 million pixel images. CISP-BMEI 2016: 834-837 - [c68]Yutaro Iwamoto, Xian-Hua Han, Akihiko Shiino, Yen-Wei Chen:
Super-resolution of 3D MR images and its application to brain segmentation. CISP-BMEI 2016: 838-841 - [c67]Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, Jian Wang, Xian-Hua Han, Yen-Wei Chen:
Bag of temporal co-occurrence words for retrieval of focal liver lesions using 3D multiphase contrast-enhanced CT images. ICPR 2016: 2282-2287 - [c66]Xian-Hua Han, Jianmei Lei, Yen-Wei Chen:
HEp-2 Cell Classification Using K-Support Spatial Pooling in Deep CNNs. LABELS/DLMIA@MICCAI 2016: 3-11 - [c65]Chunhua Dong, Yen-Wei Chen, Amir Hossein Foruzan, Xian-Hua Han, Tomoko Tateyama, Xing Wu:
A framework for probabilistic atlas-based organ segmentation. Medical Imaging: Image Processing 2016: 97842X - [c64]Sihai Yang, Duansheng Chen, Xian-Hua Han, Yen-Wei Chen:
A novel and fast connected component count algorithm based on graph theory. SNPD 2016: 643-647 - 2015
- [j18]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. Comput. Biol. Medicine 67: 146-160 (2015) - [j17]Chunhua Dong, Yen-Wei Chen, Toshihito Seki, Ryosuke Inoguchi, Chen-Lun Lin, Xian-Hua Han:
Non-rigid image registration with anatomical structure constraint for assessing locoregional therapy of hepatocellular carcinoma. Comput. Medical Imaging Graph. 45: 75-83 (2015) - [j16]Xian-Hua Han, Yen-Wei Chen, Gang Xu:
High-Order Statistics of Weber Local Descriptors for Image Representation. IEEE Trans. Cybern. 45(6): 1180-1193 (2015) - [c63]Misae Nakatsu, Ryosuke Kimura, Xian-Hua Han, Yen-Wei Chen:
Discriminant statistical analysis of local facial geometrical regions. ACPR 2015: 351-355 - [c62]Xian-Hua Han, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa, Yen-Wei Chen:
Nuclear detection in 4D microscope images using enhanced probability map of top-ranked intensity-ordered descriptors. ACPR 2015: 554-558 - [c61]Xian-Hua Han, Yen-Wei Chen, Gang Xu:
Co-occurrence context of the data-driven quantized local ternary patterns for visual recognition. ACPR 2015: 820-824 - [c60]Qiaochu Zhao, Xian-Hua Han, Yen-Wei Chen:
A robust registration method using Huber ICP and low rank and sparse decomposition. APSIPA 2015: 744-752 - [c59]Chunhua Dong, Yen-Wei Chen, Tomoko Tateyama, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Chongwu Jin, Huajun Yu:
A knowledge-based interactive liver segmentation using random walks. FSKD 2015: 1731-1736 - [c58]Ting Wang, Xian-Hua Han, Rui Xu, Yen-Wei Chen, Yoshitomo Ishizaki, Masaru Miyamoto, Tomohito Hattori:
Automatic inspection of throw-away tips based on principal component analysis. FSKD 2015: 1741-1746 - [c57]Yen-Wei Chen, Dingye Chen, Xian-Hua Han, Xinyin Huang:
Generic and specific impression estimation of clothing fabric images based on machine learning. FSKD 2015: 1753-1757 - [c56]Yuto Kondo, Xian-Hua Han, Yen-Wei Chen:
Two-step learning based super resolution and its application to 3D medical volumes. GCCE 2015: 326-327 - [c55]Titinunt Kitrungrotsakul, Xian-Hua Han, Yen-Wei Chen:
Liver segmentation using superpixel-based graph cuts and restricted regions of shape constrains. ICIP 2015: 3368-3371 - [c54]Xian-Hua Han, Yen-Wei Chen, Gang Xu:
HEp-2 Staining Pattern Recognition Using Stacked Fisher Network for Encoding Weber Local Descriptor. MLMI 2015: 85-93 - 2014
- [j15]Junping Deng, Xian-Hua Han, Yen-Wei Chen, Gang Xu, Yoshinobu Sato, Masatoshi Hori, Noriyuki Tomiyama:
Sparse and Low-Rank Matrix Decomposition for Local Morphological Analysis to Diagnose Cirrhosis. IEICE Trans. Inf. Syst. 97-D(12): 3210-3221 (2014) - [j14]Xian-Hua Han, Jian Wang, Gang Xu, Yen-Wei Chen:
High-Order Statistics of Microtexton for HEp-2 Staining Pattern Classification. IEEE Trans. Biomed. Eng. 61(8): 2223-2234 (2014) - [c53]Riko Kusumoto, Xian-Hua Han, Yen-Wei Chen:
Hybrid Aggregation of Sparse Coded Descriptors for Food Recognition. ICPR 2014: 1490-1495 - [c52]Junping Deng, Xian-Hua Han, Gang Xu, Yen-Wei Chen:
Sparse and Low Rank Matrix Decomposition Based Local Morphological Analysis and Its Application to Diagnosis of Cirrhosis Livers. ICPR 2014: 3363-3368 - [c51]Xian-Hua Han, Yen-Wei Chen, Gang Xu:
Bayesian-based Saliency Model for Liver Tumor Enhancement. IDT/IIMSS/STET 2014: 357-366 - [c50]Yen-Wei Chen, Amir Hossein Foruzan, Chunhua Dong, Tomoko Tateyama, Xianhua Han:
Automatic Segmentation of Liver From CT Images Using Probabilistic Atlas and Template Matching. IDT/IIMSS/STET 2014: 412-420 - [c49]Xian-Hua Han, Yutaro Iwamoto, Akihiko Shiino, Yen-Wei Chen:
Robust isotropic super-resolution by maximizing a Laplace posterior for MRI volumes. Medical Imaging: Image Processing 2014: 90342I - 2013
- [j13]Yen-Wei Chen, Jie Luo, Chunhua Dong, Xian-Hua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki:
Computer-Aided Diagnosis and Quantification of Cirrhotic Livers Based on Morphological Analysis and Machine Learning. Comput. Math. Methods Medicine 2013: 264809:1-264809:8 (2013) - [j12]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 103: 186-197 (2013) - [c48]Jian Wang, Hua-Wei Tu, Xian-Hua Han, Tomoko Tateyama, Yen-Wei Chen:
A preliminary study on multi-touch based medical image analysis and visualization system. BMEI 2013: 797-801 - [c47]Chunhua Dong, Toshihito Seki, Ryosuke Inoguchi, Chen-Lun Lin, Xian-Hua Han, Yen-Wei Chen:
Nonrigid registration for evaluating locoregional therapy of hepatocellular carcinoma. BMEI 2013: 811-816 - [c46]Yen-Wei Chen, Chunhua Dong, Xian-Hua Han, Tomoko Tateyama, Shuzo Kanasaki, Akira Furukawa:
Quantifying stage progress of cirrhotic livers based on statistic shape models. BMEI 2013: 822-825 - [c45]Motoki Nakajima, Yen-Wei Chen, Xian-Hua Han:
Adaptive color discrimination for image classification. BMEI 2013: 826-830 - [c44]Yusuke Nojima, Xian-Hua Han, Kazuki Taniguchi, Yen-Wei Chen:
High frequency compensated face hallucination with total variation constraint. BMEI 2013: 831-835 - [c43]Xian-Hua Han, Gang Xu, Yen-Wei Chen:
Robust local ternary patterns for texture categorization. BMEI 2013: 846-850 - [c42]Riko Kusumoto, Xian-Hua Han, Yen-Wei Chen:
Sparse model in hierarchic spatial structure for food image recognition. BMEI 2013: 851-855 - [c41]Yen-Wei Chen, Masaki Kaibori, Tsukasa Shindo, Kousuke Miyawaki, Amir Hossein Foruzan, Tomoko Tateyama, Xian-Hua Han, Kosuke Matsui, Takumi Tsuda, A.-Hon Kwon:
Computer-aided liver surgical planning system using CT volumes. EMBC 2013: 2360-2363 - [c40]Yen-Wei Chen, Jie Luo, Xian-Hua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki:
A Morphologic Analysis of Cirrhotic Liver in CT Images. ICIAR 2013: 494-501 - [c39]Jie Luo, Yen-Wei Chen, Xian-Hua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki:
Pilot study of applying shape analysis to liver cirrhosis diagnosis. ICIP 2013: 3537-3541 - [c38]Yen-Wei Chen, So Sasatani, Xian-Hua Han:
Residual Image Compensations for Enhancement of High-Frequency Components in Face Hallucination. ISNN (1) 2013: 627-634 - [c37]Xian-Hua Han, Yen-Wei Chen:
Sparse dictionary representation and propagation for MRI volume super-resolution. Medical Imaging: Image Processing 2013: 86692N - [c36]Junping Deng, Rui Xu, Xian-Hua Han, Yen-Wei Chen:
Generalized N-Dimensional PCA for Compact Representation of Medical Volumes and Effective Mode Selection by Adaboost. PCM 2013: 629-636 - [c35]Minami Wazumi, Xian-Hua Han, Yen-Wei Chen:
Food recognition using Codebook-based model with sparse-coding. SII 2013: 482-485 - [c34]Xinyin Huang, Dingye Chen, Xian-Hua Han, Yen-Wei Chen:
Global and local features for accurate impression estimation of cloth fabric images. SII 2013: 486-489 - 2012
- [j11]Xian-Hua Han, Yen-Wei Chen, Xiang Ruan:
View-Based Object Recognition Using ND Tensor Supervised Neighborhood Embedding. IEICE Trans. Inf. Syst. 95-D(3): 835-843 (2012) - [j10]Xian-Hua Han, Yen-Wei Chen, Xiang Ruan:
Multilinear Supervised Neighborhood Embedding of a Local Descriptor Tensor for Scene/Object Recognition. IEEE Trans. Image Process. 21(3): 1314-1326 (2012) - [c33]Danni Ai, Guifang Duan, Xian-Hua Han, Yen-Wei Chen:
Multiple feature selection and fusion based on generalized N-dimensional independent component analysis. ICPR 2012: 971-974 - [c32]Xian-Hua Han, Xu Qiao, Yen-Wei Chen:
Group sparse representation of adaptive sub-domain selection for image classification. ICPR 2012: 1431-1434 - [c31]Kazuki Taniguchi, Xian-Hua Han, Yutaro Iwamoto, So Sasatani, Yen-Wei Chen:
Image super-resolution based on locality-constrained linear coding. ICPR 2012: 1948-1951 - [c30]Yutaro Iwamoto, Xian-Hua Han, So Sasatani, Kazuki Taniguchi, Wei Xiong, Yen-Wei Chen:
Super-resolution of MR volumetric images using sparse representation and self-similarity. ICPR 2012: 3758-3761 - [c29]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:
Efficient shape representation and statistical shape modeling of the liver using spherical harmonic functions (SPHARM). SCIS&ISIS 2012: 428-431 - [c28]Xian-Hua Han, Yen-Wei Chen:
Face Recognition Using Multilinear Manifold Analysis of Local Descriptors. SSPR/SPR 2012: 734-742 - 2011
- [j9]Xian-Hua Han, Xu Qiao, Yen-Wei Chen:
Multilinear Supervised Neighborhood Embedding with Local Descriptor Tensor for Face Recognition. IEICE Trans. Inf. Syst. 94-D(1): 158-161 (2011) - [j8]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. 94-D(9): 1800-1808 (2011) - [j7]Xian-Hua Han, Yen-Wei Chen:
Biomedical Imaging Modality Classification Using Combined Visual Features and Textual Terms. Int. J. Biomed. Imaging 2011: 241396:1-241396:7 (2011) - [j6]Xian-Hua Han, Yen-Wei Chen:
A robust method based on ICA and mixture sparsity for edge detection in medical images. Signal Image Video Process. 5(1): 39-47 (2011) - [c27]Danni Ai, Xian-Hua Han, Guifang Duan, Xiang Ruan, Yen-Wei Chen:
Independent component analysis of color SIFT for Image Classification. ICCP 2011: 173-178 - [c26]So Sasatani, Xian-Hua Han, Takanori Igarashi, Motonori Ohashi, Yutaro Iwamoto, Yen-Wei Chen:
High frequency compensated face hallucination. ICIP 2011: 1529-1532 - [c25]Xian-Hua Han, Yen-Wei Chen, Xiang Ruan:
Canonical correlation analysis of local feature set for view-based object recognition. ICIP 2011: 3601-3604 - [c24]Xian-Hua Han, Yen-Wei Chen, Xiang Ruan:
Multi-class Co-training Learning for Object and Scene Recognition. MVA 2011: 67-70 - 2010
- [j5]Danni Ai, Xian-Hua Han, Xiang Ruan, Yen-Wei Chen:
Color Independent Components Based SIFT Descriptors for Object/Scene Classification. IEICE Trans. Inf. Syst. 93-D(9): 2577-2586 (2010) - [j4]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 73(13-15): 2727-2736 (2010) - [c23]Xian-Hua Han, Yen-Wei Chen:
ImageCLEF 2010 Modality Classification in Medical Image Retrieval: Multiple Feature Fusion with Normalized Kernel Function. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c22]Xian-Hua Han, Yen-Wei Chen, Xiang Ruan:
Image recognition by learned linear subspace of combined bag-of-features and low-level features. ICIP 2010: 1049-1052 - [c21]Danni Ai, Xian-Hua Han, Xiang Ruan, Yen-Wei Chen:
Adaptive Color Independent Components Based SIFT Descriptors for Image Classification. ICPR 2010: 2436-2439 - [c20]Xian-Hua Han, Yen-Wei Chen, Xiang Ruan:
Image Categorization by Learned Nonlinear Subspace of Combined Visual-Words and Low-Level Features. ICPR 2010: 3037-3040 - [c19]Xian-Hua Han, Yen-Wei Chen, Xiang Ruan:
Semi-supervised and Interactive Semantic Concept Learning for Scene Recognition. ICPR 2010: 3045-3048 - [c18]Xian-Hua Han, Yen-Wei Chen, Xiang Ruan:
Multilinear Tensor Supervised Neighborhood Embedding Analysis for View-Based Object Recognition. PCM (1) 2010: 236-247 - [c17]Danni Ai, Atsushi Okamoto, Yae Kikutani, Yoshiyuki Tanaka, Xian-Hua Han, Yen-Wei Chen:
RITSU_CBVR at TRECVID-2010. TRECVID 2010 - 2009
- [c16]Yen-Wei Chen, Xian-Hua Han:
Supervised Local Subspace Learning for Region Segmentation and Categorization in High-Resolution Satellite Images. CCIW 2009: 226-233 - [c15]Xu Qiao, Yen-Wei Chen, Xian-Hua Han, Takanori Igarashi, Keisuke Nakao:
Synthesis of multiple pose facial images using tensor-based subspace learning method. ICCV Workshops 2009: 219-226 - [c14]Xian-Hua Han, Yen-Wei Chen, Xiang Ruan:
Object class recognition with supervised nonlinear neighborhood embedding of visual words. ICIMCS 2009: 25-28 - [c13]Motonori Ohashi, Xian-Hua Han, Yen-Wei Chen:
Hierarchical Super-Resolution Approach for Expanding Image with High Magnification. ICNC (6) 2009: 22-25 - [c12]Atsushi Okamoto, Xian-Hua Han, Xiang Ruan, Yen-Wei Chen:
Image Categorization with PCA-SICEF. ICNC (6) 2009: 31-35 - [c11]Chu-Zheng Wang, Xian-Hua Han, Masahiro Ito, Ikuko Nishikawa, Yen-Wei Chen:
Principal Component Analysis for Prediction of O-Linked Glycosylation Sites in Protein by Multi-Layered Neural Networks. IIH-MSP 2009: 1193-1196 - [c10]Xian-Hua Han, Yen-Wei Chen:
Image Categorization by Learned PCA Subspace of Combined Visual-words and Low-level Features. IIH-MSP 2009: 1282-1285 - 2008
- [c9]Xian-Hua Han, Yen-Wei Chen, Takeshi Sukegawa:
A supervised nonlinear neighborhood embedding of color histogram for image indexing. ICIP 2008: 949-952 - [c8]Xian-Hua Han, Yen-Wei Chen, Akihiko Yamada, Hideto Fujita:
Robust Face Recognition Based on Modified ICA without Training Sample of Test Subjects. IIH-MSP 2008: 701-704 - [c7]Yohei Tsurugai, Yuuta Iwasaki, Xian-Hua Han, Yen-Wei Chen:
Region-Based Segmentation and Auto-Annotation for Color Images. IIH-MSP 2008: 709-712 - [c6]Shingo Takemura, Xian-Hua Han, Yen-Wei Chen, Kazuhiro Ito, Ikuko Nishikawa, Masahiro Ito:
Enhancement and detection of lung nodules with Multiscale filters in CT images. IIH-MSP 2008: 717-720 - [c5]Yen-Wei Chen, Xian-Hua Han:
Classification of High-Resolution Satellite Images Using Supervised Locality Preserving Projections. KES (2) 2008: 149-156 - 2007
- [c4]Xian-Hua Han, Jian Li, Shuiyan Dai, Yen-Wei Chen:
Application of Poisson Image Denoising by ICA to Penumbral Imaging. FSKD (4) 2007: 735-739 - [c3]Xian-Hua Han, Yen-Wei Chen, Keishi Kitamura, Akihiro Ishikawa, Yoshihiro Inoue, Kouichi Shibata, Yukio Mishina, Yoshihiro Mukuta:
An ICA Based Noise Reduction for PET Reconstructed Images. IIH-MSP 2007: 113-116 - 2006
- [c2]Yen-Wei Chen, Xianhua Han:
ICA domain filtering for reduction of noise in x-ray images. Medical Imaging: Image Processing 2006: 614469 - 2005
- [j2]Xian-Hua Han, Zensho Nakao, Yen-Wei Chen, Ryosuke Kodama:
An ICA-Domain Shrinkage Based Poisson-Noise Reduction Algorithm and Its Application to Penumbral Imaging. IEICE Trans. Inf. Syst. 88-D(4): 750-757 (2005) - 2004
- [j1]Xian-Hua Han, Yen-Wei Chen, Zensho Nakao:
Robust Edge Detection by Independent Component Analysis in Noisy Images. IEICE Trans. Inf. Syst. 87-D(9): 2204-2211 (2004) - 2003
- [c1]Xian-Hua Han, Yen-Wei Chen, Zensho Nakao:
An ICA-Based Method for Poisson Noise Reduction. KES 2003: 1449-1454
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