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2018年度発表論文

Journals(with referees)
[1] Ye Yuan, Yen-Wei Chen, Chunhua Dong, Hai Yu and Zhiliang Zhu: “Hybrid Method Combining Superpixel, Random Walk and Active Contour Model for Fast and Accurate Liver Segmentation,” Computeried Medical Imaging and Graphics, (2018) accepted. (SCI, Impact factor: 2.4)
[2] Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, 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,” International Journal of Computer Assisted Radiology and Surgery, Vol.13, No.1, pp.151-164 (2018). (SCI, Impact factor: 1.863) doi: 10.1007/s11548-017-1671-9
[3] 瀬尾昌孝, 松代直樹,陳延偉: “Bag of Motion Wordsを用いた顔面神経麻痺の定量評価,” 顔学会誌,(2018) accepted
[4] Jiaqing Liu, Kotaro Furusawa, Seiju Tsujinaga, Tomoko Tateyama, Yutaro Iwamoto and Yen-Wei Chen: “An Improved Kinect-Based Real-Time Gesture Recognition Using Deep Convolutional Neural Networks for Touchless Visualization of Hepatic Anatomical Models in Surgery,” Journal of Image and Graphics, (2018) accepted.
[5] Yuki Enokiya, Yutaro Iwamoto, Xian-Hua Han and Yen-Wei Chen: “Automatic Liver Segmentation Using U-Net with Wasserstein GANs,” Journal of Image and Graphics, (2018) accepted.
Proceedings of International Conference (with referees)
[1] Shohei Yonetsu, Yutaro Iwamoto and Yen-Wei Chen, “Two-Stage YOLOv2 for Accurate License-Plate Detection in Complex Scenes,” Proc. of IEEE 37th International Conference on Consumer Electronics (IEEE ICCE2019), Las Vegas, USA, Jan. 11-13, 2019.
[2] Jia-Qing Liu, Kotaro Furusawa, Seiju Tsujinaga, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen, “MaHG-RGBD: A Multi-angle View Hand Gesture RGB-D Dataset for Deep Learning Based Gesture Recognition and Baseline Evaluations,” Proc. of IEEE 37th International Conference on Consumer Electronics (IEEE ICCE2019), Las Vegas, USA, Jan. 11-13, 2019.
[3] Masataka Seo, Takahiko Yamamoto, Toshihiro Kitajima and Yen-Wei Chen, “Automatic Gaze Correction based on Convolutional Neural Networks and Image Warping,” Proc. of IEEE 37th International Conference on Consumer Electronics (IEEE ICCE2019), Las Vegas, USA, Jan. 11-13, 2019.
[4] Weibin WANG, Yutaro IWAMOTO, Xianhua HAN and Yen-Wei CHEN, Qingqing CHEN, Dong LIANG, Lanfen LIN, Hongjie HU and Qiaowei ZHANG: “Classification of Focal Liver Lesions Using Deep Learning with Fine-tuning,” Proc. of International Conference on Digtal Medicine and Image Processing (DMIP2018), Okinawa, Japan, Nov.12-14, 2018.
[5] 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,” Proc. of 21st International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI2018), Granada, Spain, Sep. 16-20, 2018. (A. F. Frangi et al. (Eds.): MICCAI 2018, Springer LNCS 11071, pp. 666–675, 2018.)(こちら)
[6] Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Xiaoli Ling, Dan Wang, Xianhua Han, Yen-Wei Chen, “Multi-Scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification,” Proc. of 4th Workshop on Deep Learning in Medical Image Analysis (DLMIA2018) , Granada, Spain, Sep. 20, 2018 (in press).
[7] Xian-Hua Han, Jiande Sun, Lanfen Lin and Yen-Wei Chen: “Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition,” Proc. of 9th International Workshop on Machine Learning in Medical Imaging (MLMI2018), Granada, Spain, Sep. 16, 2018 (in press).
[8] Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Xiaoli Ling, Dan Wang, Xianhua Han, Yen-Wei Chen, “Clqassification of Pulmonary Emphysema in CT Images Based on Multi-scale Deep Convolutional Neural Networks,” Proc. of 2018 IEEE International Conference on Image Processing (IEEE ICIP 2018), Athens, Greece, Oct. 7-10, 2018 (in press).
[9] Jian Wang, Xian-Hua Han, Jiande Sun, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, and Yen-Wei Chen: “Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-Phase CT Images,” Proc. of The Pacific-Rim Conference on Multimedia (PCM) 2018, Hefei, China, Sep.21-22, 2018 (in press).
[10] Xian-Hua Han, Jian Wang, Jiande Sun, and Yen-Wei Chen: “Hyperspectral Image Classification Using Nonnegative Sparse Spectral Representation and Spatial Regularization,” Proc. of The Pacific-Rim Conference on Multimedia (PCM) 2018, Hefei, China, Sep.21-22, 2018 (in press).
[11] Rui Xu, Guiliang Jiang, Xinchen Ye, Yen-Wei Chen: “Retinal Vessel Segmentation via Multiscaled Deep-Guidance,” Proc. of The Pacific-Rim Conference on Multimedia (PCM) 2018, Hefei, China, Sep.21-22, 2018 (in press).
[12] Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Xianhua Han, Yen-Wei Chen, “Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions,” Proc. of The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI2018), Nanjin, China, Aug.28-31, 2018 (in press)
[13] Kun Xiong, Takahiro Kitamura, Yutaro Iwamoto, Xian-Hua Han, Naoki Matsushiro, Hiroshi Nishimura and Yen-Wei Chen, “Semi-Automatic Segmentation of Paranasal Sinus from CT images Using Fully Convolutional Networks,” Proc. of 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), Nara, Japan, Oct.9-12, 2018.
[14] Takahiko Yamamoto, Masataka Seo, Toshihiko Kitajima and Yen-Wei Chen, “Eye Gaze Correction Using Generative Adversarial Networks,” Proc. of 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), Nara, Japan, Oct.9-12, 2018.
[15] Yoshiharu Kawai, Masataka Seo, Yen-Wei Chen, “Automatic Generation of Facial Expression Using Generative Adversarial Nets,” Proc. of 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), Nara, Japan, Oct.9-12, 2018.
[16] Seiju Tsujinaga, Nobuo Yamaguchi, Jiaqing Liu, Tomoko Tateyama, Yutaro Iwamoto and Yen-Wei Chen, “Interactive Virtual Campus Tour System Using Skeleton Information from Kinect,” Proc. of 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), Nara, Japan, Oct.9-12, 2018.
[17] Yutaro Iwamoto, Naoaki Hashimoto, Yen-Wei Chen, ”Fast Dark Channel Prior Based Haze Removal from a Single Image,” Proc. of the 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD2018), Huangshan, China, July 28-30, 2018.
[18] Titinunt Kitrungrotsakul, Xian-Hau Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Xiong Wei and Yen-Wei Chen, “A 2.5D Cascaded Convolutional Neural Network with Temporal Information for Automatic Mitotic Cell Detection in 4D Microscopic Images,” Proc. of the 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD2018), Huangshan, China, July 28-30, 2018.
[19] Takuma Terada, Ryusuke Kimura and Yen-Wei Chen, “3D Facial Landmark Detection Using Deep Convolutional Neural Networks,” Proc. of the 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD2018), Huangshan, China, July 28-30, 2018.
[20] Ayumi Tsuji, Masataka Seo, Yuko Muto and Yen-Wei Chen, ” Makeup Transfer Using Support Vector Regression,” Proc. of the 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD2018), Huangshan, China, July 28-30, 2018.
[21] Kazuki Otsuki, Akira Furukawa, Shuzo Kanasaki, Yutaro Iwamoto, Tomoko Tateyama, Yen-Wei Chen, “Automated Assessment of Small Bowel Motility Function Based on Feature Point Tracking,” Proc. of the 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD2018), Huangshan, China, July 28-30, 2018.
[22] Titinunt Kitrungrotsakul,Yutaro Iwamoto, Xian-Hua Han, Xiong Wei, Lanfen Lin, Hongjie Hu, Huiyan Jiang, Yen-Wei Chen: “Interactive Liver Segmentation in CT Volumes Using Fully Convolutional Networks,” Intelligent Interactive Multimedia System and Services (Proc. of IIMSS-18), Eds. G. De Pietro et al., Springer, pp.216-222, 2018 (Gold Coast, Australia, June 20-22, 2018). DOI: 10.1007/978-3-319-92231-7_22
[23] Jia-Qing Liu, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen: “Kinect-Based Real-Time Gesture Recognition Using Deep Convolutional Neural Networks for Touchless Visualization of Hepatic Anatomical Models in Surgery,” Intelligent Interactive Multimedia System and Services (Proc. of IIMSS-18), Eds. G. De Pietro et al., Springer, pp.223-229, 2018 (Gold Coast, Australia, June 20-22, 2018). DOI: 10.1007/978-3-319-92231-7_23
[24] Yangzi Yang,Huiyan Jiang, Yen-Wei Chen: “Abdominal Organs Segmentation based on Multi-path Fully Convolutional Network and Random Forests,” Intelligent Interactive Multimedia System and Services (Proc. of IIMSS-18), Eds. G. De Pietro et al., Springer, pp.208-215, 2018 (Gold Coast, Australia, June 20-22, 2018). DOI: 10.1007/978-3-319-92231-7_21
[25] Zhuofu Deng, Yen-Wei Chen, Zhiliang Zhu,Yinuo Li, He Li and Yi Wang: “Advanced Transmission Methods Applied in Remote Consultation and Diagnosis Platform,” Intelligent Interactive Multimedia System and Services (Proc. of IIMSS-18), Eds. G. De Pietro et al., Springer, pp.230-237, 2018 (Gold Coast, Australia, June 20-22, 2018). DOI: 10.1007/978-3-319-92231-7_24
Proceedings of Domestic Conference (without referees)
[1] 辻亜友実,瀬尾昌孝, 武藤祐子, 陳延偉, “深層学習を用いた個人の顔特徴を考慮したメイク顔の生成,”第23回日本顔学会大会, o4-1, 明治大学, 2018.9.1-2.
[2] 山本敬彦,瀬尾昌孝, 北島利浩,陳延偉, ”深層学習を用いた視線変換画像の自動生成,” 第23回日本顔学会大会, o4-2, 明治大学, 2018.9.1-2.
[3] 川井克治,瀬尾昌孝,陳延偉, “Generative Adversarial Netsを用いた表情顔画像の自動生成,”第23回日本顔学会大会, o4-3, 明治大学, 2018.9.1-2.
[4] 趙紫瑜, 音石朋恵, 岩本祐太郎, 手塚祐司, 岡田裕貴, 前田清澄, 和田厚幸, 柏木厚典, 陳延偉, “深層学習を用いた心外膜の自動抽出,” 電子情報通信学会PRMU研究会, 福岡工業大学, 2018.9.20-21.
[5] Weibin WANG, Dong LIANG, Lanfen LIN, Hongjie HU, Qiaowei ZHANG, Qingqing CHEN, Yutaro IWAMOTO, Xianhua HAN, Yen-Wei CHEN, ”Computer-Aided Diagnosis of Liver Cancers Using Deep Learning with Fine-tuning,” 電子情報通信学会PRMU研究会, 福岡工業大学, 2018.9.20-21.
[6] Jia-Qing Liu, Kotaro Furusawa, Seiju Tsujinaga, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen, “Kinect RGB-D Hand Gesture Image Database for Deep Learning Based Gesture Recognition,” 電子情報通信学会PRMU研究会, 福岡工業大学, 2018.9.20-21.
[7] 八乙女颯太, 瀬尾昌孝, 松代直樹, 陳延偉, “Conditional Generative Adversarial Networkを用いた顔面神経麻痺患者の表情シミュレータの開発,” 平成30年電気関係学会関西連合大会, 大阪工業大学, 2018.12.1-2.
[8] 長谷川諒, 米津翔平, 岩本祐太郎, 陳延偉, “日本道路標識・交通信号データベースの構築と深層学習を用いた頑健な検出と認識,” 平成30年電気関係学会関西連合大会, 大阪工業大学, 2018.12.1-2.
[9] 古澤康太郎, 劉家慶, 辻永成樹, 健山智子, 岩本祐太郎, 陳延偉, “KINECTハンドジェスチャ画像データベース構築と深層学習によるジェスチャ認識,” 平成30年電気関係学会関西連合大会, 大阪工業大学, 2018.12.1-2.
[10] 音石朋恵, 趙紫瑜, 岩本祐太郎, 手塚祐司, 岡田裕貴, 前田清澄, 和田厚幸, 柏木厚典, 陳延偉, “畳込ニューラルネットワークを用いたCT画像における心外膜のセグメンテーション,” 平成30年電気関係学会関西連合大会, 大阪工業大学, 2018.12.1-2.
[11] 永田敬之, 橋爪直寛, 岩本祐太郎, 陳延偉, “AutoEncoderによるマルチモーダルMR脳画像の教師無しセグメンテーション,” 平成30年電気関係学会関西連合大会, 大阪工業大学, 2018.12.1-2.

 

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