Search Results - "Xian-Hua Han"

Self-Similarity Constrained Sparse Representation for Hyperspectral Image Super-Resolution by Han, Xian-Hua, Shi, Boxin, Zheng, Yinqiang

“…Fusing a low-resolution hyperspectral (HS) image with the corresponding high-resolution multispectral image to obtain a high-resolution HS image is an…”
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Adaptive Semi-Supervised Feature Selection for Cross-Modal Retrieval by Yu, En, Sun, Jiande, Li, Jing, Chang, Xiaojun, Han, Xian-Hua, Hauptmann, Alexander G.

“…In order to exploit the abundant potential information of the unlabeled data and contribute to analyzing the correlation among heterogeneous data, we propose…”
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Deep Unsupervised Fusion Learning for Hyperspectral Image Super Resolution by Liu, Zhe, Zheng, Yinqiang, Han, Xian-Hua

“…Hyperspectral image (HSI) super-resolution (SR) is a challenging task due to its ill-posed nature, and has attracted extensive attention by the research…”
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PA‐ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images by Xu, Yingying, Cai, Ming, Lin, Lanfen, Zhang, Yue, Hu, Hongjie, Peng, Zhiyi, Zhang, Qiaowei, Chen, Qingqing, Mao, Xiongwei, Iwamoto, Yutaro, Han, Xian‐Hua, Chen, Yen‐Wei, Tong, Ruofeng

“…Purpose Liver tumor segmentation is a crucial prerequisite for computer‐aided diagnosis of liver tumors. In the clinical diagnosis of liver tumors,…”
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Hyperspectral image super resolution using deep internal and self‐supervised learning by Liu, Zhe, Han, Xian‐Hua

“…By automatically learning the priors embedded in images with powerful modelling capabilities, deep learning‐based algorithms have recently made considerable…”
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A Lightweight Network for Contextual and Morphological Awareness for Hepatic Vein Segmentation by Tong, Guoyu, Jiang, Huiyan, Shi, Tianyu, Han, Xian-Hua, Yao, Yu-Dong

“…Accurate segmentation of the hepatic vein is crucial for enhancing the precision of liver disease diagnosis and treatment. Since the hepatic venous system is a…”
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Zero-Shot Blind Learning for Single-Image Super-Resolution by Yamawaki, Kazuhiro, Han, Xian-Hua

“…Deep convolutional neural networks (DCNNs) have manifested significant performance gains for single-image super-resolution (SISR) in the past few years. Most…”
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Lightweight Multi-Scale Context Aggregation Deraining Network With Artifact-Attenuating Pooling and Activation Functions by Yamamichi, Kohei, Han, Xian-Hua

“…Single image deraining is a fundamental pre-processing step in many computer vision applications for improving the visual effect and system performance of the…”
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Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer by Aonpong, Panyanat, Iwamoto, Yutaro, Han, Xian-Hua, Lin, Lanfen, Chen, Yen-Wei

“…Non-small cell lung cancer (NSCLC) is a serious disease and has a high recurrence rate after surgery. Recently, many machine learning methods have been…”
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Coarse-To-Fine Pyramid Feature Mining for Wheat Head Detection by Harada, Sho, Han, Xian-Hua

“…Automatic detection of wheat head attracts extensive attention for efficient and effective wheat farm management and breading study. Benefiting from the…”
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Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation by Mo, Shaocong, Cai, Ming, Lin, Lanfen, Tong, Ruofeng, Chen, Qingqing, Wang, Fang, Hu, Hongjie, Iwamoto, Yutaro, Han, Xian-Hua, Chen, Yen-Wei

“…Multimodal magnetic resonance imaging (MRI) provides complementary information about targets, and the segmentation of multimodal MRI is widely used as an…”
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Coupling Spatial and Channel Transformer for Single Image Deraining by Namba, Yuto, Sun, Jiande, Han, Xian-Hua

“…Single image deraining is a fundamental low-level vision task, and has evolved remarkable progress with the deep learning technique. Recently, benefiting from…”
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Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations by Peng, Liying, Lin, Lanfen, Hu, Hongjie, Zhang, Yue, Li, Huali, Iwamoto, Yutaro, Han, Xian-Hua, Chen, Yen-Wei

“…Segmentation and quantification of each subtype of emphysema is helpful to monitor chronic obstructive pulmonary disease. Due to the nature of emphysema…”
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Local to global prior Learning for blind Unsupervised Image super Resolution by Yamawaki, Kazuhiro, Han, Xian-Hua

“…Deep convolutional neural networks (DCNN) have dominated the single image super resolution (SR) field, and demonstrated significant success in generating…”
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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 by Xu, Yingying, Lin, Lanfen, Hu, Hongjie, Wang, Dan, Zhu, Wenchao, Wang, Jian, Han, Xian-Hua, Chen, Yen-Wei

“…Purpose The bag of visual words (BoVW) model is a powerful tool for feature representation that can integrate various handcrafted features like intensity,…”
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GND-PCA Method for Identification of Gene Functions Involved in Asymmetric Division of C. elegans by Yang, Sihai, Han, Xian-Hua, Chen, Yen-Wei

“…Due to the rapid development of imaging technology, a large number of biological images have been obtained with three-dimensional (3D) spatial information,…”
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HEp-2 staining pattern recognition using stacked fisher network for encoding weber local descriptor by Han, Xian-Hua, Chen, Yen-Wei

“…This study addresses the recognition problem of the HEp-2 cell using indirect immunofluorescent (IIF) image analysis, which can indicate the presence of…”
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IDH mutation status prediction by a radiomics associated modality attention network by Zhang, Xinran, Shi, Xiaoyu, Iwamoto, Yutaro, Cheng, Jingliang, Bai, Jie, Zhao, Guohua, Han, Xian-hua, Chen, Yen-Wei

“…Isocitrate dehydrogenase (IDH) status is an important factor for the diagnosis of gliomas reported in the 2016 World Health Organization classification scheme…”
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Integration of spatial and orientation contexts in local ternary patterns for HEp-2 cell classification by Han, Xian-Hua, Chen, Yen-Wei, Xu, Gang

“…•A novel image representation for HEp-2 cell classification is proposed.•Instead of local binary pattern, local ternary pattern (LTP) with data-driven…”
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Deep Blind Un-Supervised Learning Network for Single Image Super Resolution by Yamawaki, Kazuhiro, Han, Xian-Hua

“…Deep learning based methods have recently made significant progress in image super resolution (SR) field and lead to great performance gain in terms of both…”
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