Rchr
J-GLOBAL ID：201301094752852150
Update date: Sep. 28, 2024
Han Xian-Hua
ハン シェンファー | Han Xian-Hua
Affiliation and department：
Job title：
Prof.
Homepage URL (1)：
https://sites.google.com/view/mlp-lab/
Research field (2)：
Intelligent informatics
, Perceptual information processing
Research keywords (1)：
Machine Learning, Pattern Recognition, Computer Vision
Research theme for competitive and other funds (13)：
- 2020 - 2026 弱教師深層学習と計算解剖モデルの統合による肝臓がんの診断支援
- 2021 - 2025 Weakly-Supervised Differentiation of Focal Liver Lesions Using Phase-Attention Net
- 2020 - 2023 Integrated Model-Driven and Data-Driven Framework for Hyper-Spectral Image Super-Resolution
- 2018 - 2021 Tensor Sparse Coding for Temporal and Spatial Feature Extraction and Classification of Liver Lesions in Multi-phase CT Images
- 2018 - 2020 テンソルスパース表現による多時相CT画像の時空間特徴抽出と肝腫瘍性病変の診断支援
- 2015 - 2018 Study on Image Representation Learning and Understanding based on Human's Perception Principle and Deep Statistical Analysis
- 2014 - 2017 Localization and Alignment of Non-rigid Organs by Exhaustive Search of Position, Orientation,Scale and Deformation Parameters
- 2014 - 2016 変形の伴う3次元形状間の全自動アラインメント
- 2012 - 2015 Core Information Extraction Using Multilinear Manifold Learning and Hierarchical Algorithm for Image Understanding in Large Scale Dataset
- 2012 - 2015 Generalized N-Dimensional Sparse Coding and Its Application to Computational Anatomy Models
- 2008 - 2011 ICA縮退フィルタと多重解像度フィルタを用いたIVR画像の画質改善法の開発
- 2009 - 2011 Statistical Volume Models of Human Anatomy and Their Applications to Computer Aided Diagnostics
- 2008 - 2009 IVR image enhancement with ICA domain shrinkage filter and multi-scale filter
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Papers (289)：
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Yulin Yang, Qingqing Chen 0001, Yinhao Li, Fang Wang, Xian-Hua Han, Yutaro Iwamoto, Jing Liu 0041, Lanfen Lin, Hongjie Hu, Yen-Wei Chen 0001. Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. IEEE J. Biomed. Health Informatics. 2024. 28. 8. 4737-4750
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Xing Wu 0001, Jie Pei, Xian-Hua Han, Yen-Wei Chen 0001, Junfeng Yao, Yang Liu 0005, Quan Qian, Yike Guo. FedEL: Federated ensemble learning for non-iid data. Expert Syst. Appl. 2024. 237. Part A. 121390-121390
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Zhe Liu 0039, Xian-Hua Han. Hyperspectral image super resolution using deep internal and self-supervised learning. CAAI Trans. Intell. Technol. 2024. 9. 1. 128-141
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Xian-Hua Han, Huiyan Jiang, Yen-Wei Chen 0001. Hyperspectral Image Reconstruction Using Hierarchical Neural Architecture Search from A Snapshot Image. ICASSP. 2024. 2500-2504
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Takumi Takabe, Xian-Hua Han, Yen-Wei Chen 0001. Deep Versatile Hyperspectral Reconstruction Model from A Snapshot Measurement with Arbitrary Masks. ICASSP. 2024. 2390-2394
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MISC (70)：
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井上源太, HAN Xian-Hua. Detection of Wheat Heads by CenterNet with Atteniton Module. 電子情報通信学会大会講演論文集(CD-ROM). 2022. 2022
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韓先花, 山口大, BoXin Shi(AIST, Yinqiang Zheng(NII, Toru Kouyama(AIST, Atsunori Kanemura(AIST, Ryosuke Nakamura(AIST. Robust Hyperspectral Image Super-Resolution via Constrained Non-negative Sparse Representation. 第20回 画像の認識・理解シンポジウム. 2017
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Shiino Akihiko, Iwamoto Yutaro, Han Xianhua, Chen Yen-Wei. Diagnosis of Alzheimer's disease by structural MRI-Validation of efficiency of AI-derived Alzheimer's disease score. Cerebral Blood Flow and Metabolism (Japanese journal of cerebral blood flow and metabolism). 2017. 28. 2. 303-308
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A NOVEL AND FAST CONNECTED COMPONENT-COUNTING ALGORITHM BASED ON GRAPH THEORY. ICIC express letters. Part B, Applications : an international journal of research and surveys. 2016. 7. 12. 2625-2632
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Han Xian-Hua, Chen Yen-Wei. HEp-2 cell classification using K-support Spatial Pooling in Deep CNNs (医用画像). 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2016. 116. 225. 1-6
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Patents (1)：
Books (6)：
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Residual Sparse Autoencoders for Unsupervised Feature Learning and Its Application to HEp-2 Cell Staining Pattern Recognition
Deep Learning in Healthcare, Chapter 11, Yen-Wei Chen and Jain, Lakhmi C. (Eds.), [Online First], Springer, 2020. DOI: 10.1007/978-3-030-32606-7_11 2020
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Hyperspectral Image Super-Resolution Using Optimization and DCNN-Based Methods
Processing and Analysis of Hyperspectral Data, Jie Chen (Eds.), [Online First], IntechOpen, DOI: 10.5772/intechopen.89243. 2020
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High-Order Statistics of Micro-Texton for HEp-2 Staining Pattern Classification in 「Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging」
Springer 出版 2018
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Subspace Methods for Pattern Recognition in Intelligent Environment・Sparse Representation for Image Super-Resolution
Springer 2014 ISBN:9783642548505
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Adaptive Noise Reduction and Edge Enhancement in Medical Images by using ICA?Computational Intelligence in Biomedical Imaging
Springer 2013 ISBN:9781461472445
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Lectures and oral presentations (52)：
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深層Residual Attention ネットワークを用いたスナップショット撮影からハイパースペクトル画像の復元
(第19回情報科学技術フォーラム(FIT2020), H-006)
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Deep Attention ConvLSTM-UNetを用いた画像の降雨ノイズ除去
(第19回情報科学技術フォーラム(FIT2020), H-028)
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注目領域の自動学習ネットワークによる画像キャプションの自動生成
(第23回 画像の認識・理解シンポジウム (MIRU2020))
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知覚損失学習を用いた単一画像の雨筋除去
(第23回 画像の認識・理解シンポジウム (MIRU2020))
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Multispectral and Hyperspectral Image Fusion with Deep Learned Prior
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Education (3)：
- 2002 - 2005 琉球大学大学院
- 1999 - 2002 中国山東大学大学院
- 1995 - 1999 中国重慶大学
Professional career (1)：
Work history (7)：
Awards (1)：
- 2012/05 - 日本私立学校振興・共済事業団 学術研究振興基金(若手研究者奨励金)
Association Membership(s) (3)：
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