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2016年度発表論文

Journals(with referees)
[1] Xian-Hua Han and Yen-Wei Chen: “HEp-2 Staining Pattern Recognition Using Stacked Fisher Network for Encoding Weber Local Descriptor,” Pattern Recognition, Vol.63, pp.542-550, 2017 (SCI, IF:3.399)(こちら)
[2] Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen: “Sparse codebook model of local structures for retrieval of focal liver lesions using multi-phase medical images,” International Journal of Biomedical Imaging, Vol.2017, ID1413297, 2017.(こちら)
[3] Sihai Yang, Xianhua.Han, Yukako Tohasato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa and Yen-Wei Chen: “Phenotype Analysis Method for Identification of Gene Functions Involved in Asymmetric Division of Caenorhabditis elegans,” J. Comput. Biol., Vol. 24, 2017 (in press)(こちら)
[4] Xian-Hua Han, Yen-Wei Chen and Gang Xu: “Integration of spatial and orientation contexts in local ternary patterns for HEp-2 cell classification,” Pattern Recognition Letter, Vol.82, pp.23-27, 2016 (SCI, IF:1.586)(こちら)
[5] 陳延偉,上谷芽衣,健山智子,韓先花,金崎周造,古川顕, “肝臓の統計形状モデル構築と肝硬変症支援診断への応用“, インナービジョン 2016年7月号, 2016, Vol.31, No.7, pp.33-36(2016/07)  (解説論文)
[6] 岩本祐太郎, 陳延偉,”スパース表現と自己相似性を用いた三次元医用画像の超解像処理,” 画像ラボ,2016 (in press).  (解説論文)
[7] 岩本祐太郎, 陳延偉,”圧縮センシングの周辺:超解像や画質改善,” Medical Imaging Technology, Vol.34, No.4, pp.209-216, 2016.  (解説論文)
[8] Xiang-Hua Han, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa and 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. Computer Vision and Applications, Vol.8, 2016.(こちら)
[9] A.H. Foruzan and Y.-W. Chen: “Improved segmentation of low-contrast lesions using sigmoid edge model,” Int. J. CARS, Vol.11, pp.1267-1283 (2016.7) (SCI, IF:1.8)(こちら)
International Conference Papers (with referees)
[1] Truc Hung Ngo, Yen-Wei Chen, Masataka Seo, and Naoki Matsushiro, “Quantitative Analysis of Facial Paralysis Based on Limited-Orientation Modified Circular Gabor Filters,” 23rd International Conference on Pattern Recognition (ICPR2016), Cancun, Mexico, Dec.4-8, 2016 (Oral Presentation).
[2] Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, Jian Wang, Xianhua Han and Yen-Wei Chen, “Bag of Temporal Co-occurrence Words for Retrieval of Focal Liver Lesions Using 3D Multiphase Contrast-enhanced CT Images,” 23rd International Conference on Pattern Recognition (ICPR2016), Cancun, Mexico, Dec.4-8, 2016.
[3] Truc Hung Ngo, Yen-Wei Chen, Masataka Seo, Naoki Matsushiro and Wei Xiong, “Quantitative analysis of facial paralysis based on three-dimensional features,” The 23rd IEEE International Conference on Image Processing (ICIP2016), Phoenix, USA, Sep.25-28, 2016 (Oral Presentation).
[4] Ryoma Fujii, Tomoko Tateyama, Titinunt Kitrungrotsakul, Satoshi Tanaka, Yen-Wei Chen, “A Touchless Visualization System for Medical Volumes Based on Kinect Gesture Recognition,” Innovation in Medicine and Healthcare 2016, Eds. Yen-Wei Chen et al., Springer, pp.209-215, 2016 (Tenerif, Spain, June.15-17, 2016)
[5] Yu Konno, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yitao Liu, Wenchao Zhu, Yen-Wei Chen, “Bayesian Model for Liver Tumor Enhancement,” Innovation in Medicine and Healthcare 2016, Eds. Yen-Wei Chen et al., Springer, pp.227-235, 2016 (Tenerif, Spain, June.15-17, 2016)
[6] Jian Wang, Xianhua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen, “Patch-based codebook model for focal liver lesions retrieval of multiphase medical volumes,” Int. J. CARS, Vol.11, Suppl. S12-S13, 2016 (Heidelberg, Germany, June 21-25, 2016).
[7] Mina Esfandiarkhani, Amir Hossein Foruzan, Yen-Wei Chen, “Improving soft tissue segmentation in CT volumes using a sigmoid-based active shape model,” Int. J. CARS, Vol.11, Suppl. S49-S50, 2016 (Heidelberg, Germany, June 21-25, 2016).
[8] Yutaro Iwamoto, Xian-Hua Han, Akihiko Shiino, Yen-Wei Chen, “Super-resolution of 3D MR images and its application to brain segmentation,” The 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2016), Daiton, China, Oct.15-17, 2016.
[9] Hiroki Yoshihara, Masataka Seo, Truc Hung Ngo, Naoki Matsushiro, Yen-Wei Chen, “Automatic Feature Point Detection Using Deep Convolutional Neural Networks for Quantitative Assessment of Facial Paralysis,” The 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2016), Daiton, China, Oct.15-17, 2016
[10] Shota Sasano, Xianhua Han, Yen-Wei Chen, “Food Recognition Using Combined Bags of Color Features and Texture Features,” The 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2016), Daiton, China, Oct.15-17, 2016.
[11] Masataka Seo, Yen-Wei Chen, “Joint Subspace Learning for Reconstruction of 3D Facial Dynamic Expression from Single Image,” The 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2016), Daiton, China, Oct.15-17, 2016.
[12] Katsuhisa Ogawa, Yuri Yamaguchi, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, “SIFT-Based Multi-Frame Super Resolution for 250 Million Pixel Images,” The 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2016), Daiton, China, Oct.15-17, 2016.
[13] Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, Jian Wang, Xianhua Han, Yen-Wei Chen, “A Retrieval System for 3D Multi-Phase Contrast-Enhanced CT Images of Focal Liver Lisions Based on Combined Bags of Visual Words and Texture Words,” The 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2016), Daiton, China, Oct.15-17, 2016
[14] Zhuofu Deng, Zhiliang Zhu, Yen-Wei Chen, “Remote and Collaborative Medical Image Visualization Computing Platform,” The 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2016), Daiton, China, Oct.15-17, 2016
[15] Jian Wang, Xianhua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, and Yen-Wei Chen, “A Tensor Codebook-Model for Multiphase Medical Image Retrieval,” International Forum on Medical Imaging in Asia (IFMIA) 2017, Okinawa, Japan, Jan. 19-20, 2017. (pp.323-326)
Conference Papers (without referees)
[1] Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin and Yen-Wei Chen, “A preliminary study on multilinear sparse coding for medical image retrieval,”第19回画像の認識?理解シンポジウム(MIRU2016), PS2-68, 浜松,日本,2016.8.1-4.
[2] Qiaochu Zhao, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen,“Super-Resolution for 3D Anisotropic Low-resolution MR Images Using Multilayer Convolutional Neural Networks,”第19回画像の認識?理解シンポジウム(MIRU2016), PS2-50, 浜松,日本,2016.8.1-4.
[3] 李迎博, 西村洋, 松代直樹, 北村貴裕, 董春華, 岩本祐太郎, 姜慧研, 陳延偉, “パッチベースランダムウォークによる中耳・側頭骨含気腔のセグメンテーション,”第19回画像の認識?理解シンポジウム(MIRU2016), PS2-49, 浜松,日本,2016.8.1-4.
[4] 瀬尾昌孝, 陳延偉,”機械学習を用いた1枚の顔画像からの三次元表情動画像の自動復元,” 第19回画像の認識?理解シンポジウム(MIRU2016), PS1-69, 浜松,日本,2016.8.1-4
[5] Truc Hung Ngo, Yen-Wei Chen, Masataka Seo, Naoki Matsushiro, “A Frequency-based Technique for Quantitative Estimation of Facial Paralysis,” 第19回画像の認識?理解シンポジウム(MIRU2016), PS1-60, 浜松,日本,2016.8.1-4.
[6] Xian-Hua Han, Ryosuke Nakamura, Yen-Wei Chen, “Improved Spatial Pyramid Pooling in Deep Convolutional Network for Remote Sensing Image Classification,” 第19回画像の認識?理解シンポジウム(MIRU2016), PS1-15, 浜松,日本,2016.8.1-4.
[7] 岩本祐太郎,韓先花, 椎野顯彦, 陳延偉, “三次元脳MR画像の超解像処理とセグメンテーションへの応用,” 第19回画像の認識?理解シンポジウム(MIRU2016), PS3-65, 浜松,日本,2016.8.1-4.
[8] 笹野翔太, 韓先花, 陳延偉, “Combined Bags of Color and Texture Featuresを用いた食事画像認識,” 第19回画像の認識?理解シンポジウム(MIRU2016), PS3-72, 浜松,日本,2016.8.1-4.
[9] Titinunt Kitrungrotsakul, Xian-Hua Han and Yen-Wei Chen, “Extraction of Liver Vessel using Graph Cut based Submodular on 3D data,” 第35回日本医用画像工学会大会,PP-40, 千葉大学,日本,2016.7.21-23.
[10] Yingying XU,Lanfen LIN,Hongjie HU,Dan WANG,Yitao LIU,Jian WANG,Xianhua HAN,Yen-Wei CHEN, “BoVWとBoTWを用いた肝腫瘍CT画像の検索,” 第35回日本医用画像工学会大会,PP-46, 千葉大学,日本,2016.7.21-23.
[11] 健山智子,上谷芽衣,古川顕,金崎周造,陳延偉, “PLS回帰を用いたステージ予測を含む肝硬変症支援診断,” 第35回日本医用画像工学会大会,OP7-6, 千葉大学,日本,2016.7.21-23.
[12] Xian-Hua Han and Yen-Wei Chen, “HEp-2 cell classification using K-support spatial pooling in Deep CNNs,” 信学技報, vol. 116, no. 225, MI2016-47, pp. 1-6, 2016年9月.
[13] Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto and Yen-Wei Chen, “Robust Blood Vessel of Liver Extraction Using Deep Convolution Network,” 信学技報, vol. 116, no. 225, MI2016-48, pp. 7-8, 2016年9月.
[14] Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin and Yen-Wei Chen, “A preliminary study on tensor codebook model for multiphase medical image retrieval,” 信学技報, vol. 116, no. 225, MI2016-58, pp. 47-50, 2016年9月.
[15] 吉原寛樹,瀬尾昌孝,陳延偉:「Deep Learningによる特微点の自動推定」,第21回日本顔学会大会(フォーラム顔学2016), O4-1, 東京藝術大学, 2016.11.20
[16] 瀬尾昌孝,畑香奈江,陳延偉 : 「個人の顔形状に応じた全自動美顔補正」,第21回日本顔学会大会(フォーラム顔学2016), P2-10, 東京藝術大学, 2016.11.20
[17] 砂川奈緒子,轟佳大,椎野顯彦,岩本祐太郎,陳延偉:「Convolutional Neural Networkを用いたラクナ梗塞初期候補検出精度の向上」,平成28年度電気関係学会関西連合大会,G12-1, 大阪府立大学,2016.11.23
[18] 轟佳大,TitinuntKitrungrotsakul,岩本祐太郎,韓先花,陳延偉:「深層学習を用いた肝臓腫瘍候補の検出」,平成28年度電気関係学会関西連合大会,G12-2, 大阪府立大学,2016.11.23
[19] 瀬尾昌孝,陳延偉:「少数学習データを用いた単一顔画像からの三次元表情動画像の自動復元」,平成28年度電気関係学会関西連合大会,G12-8, 大阪府立大学,2016.11.23 (奨励賞)
[20] 辻亜友実,瀬尾昌孝,陳延偉:「Piecewise Affine変換を用いた顔画像の入れ替えと表情変換」,平成28年度電気関係学会関西連合大会,G12-9, 大阪府立大学,2016.11.23
[21] 山口展生,藤井亮馬,岩本祐太郎,健山智子,陳延偉:「二面スクリーンを用いた大学上空での空中ブランコVR体験システムの構築」,平成28年度電気関係学会関西連合大会,G13-8, 大阪府立大学,2016.11.23
[22] 山本敬彦,瀬尾昌孝,北島利浩,陳 延偉:「目の統計形状モデルを用いたビデオ通話システムの視線補正」,2017年電子情報通信学会総合大会,D-11-34, 名城大学,2017.3.24

 

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