論文
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2019年度発表論文
Journals(with referees)
| [1] | 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 Recognition Letter, Vol.130, pp.207-215 (2020-2). (SCI, Impact factor: 2.81) (こちら) |
| [2] | Yutaro Iwamoto, Naoaki Hashimoto, Yen-Wei Chen, “Real-time Haze Removal Using Normalised Pixel-wise Dark-channel Prior and Robust Atmospheric-light Estimation,” Applied Science, Vol.10, 2020 (SCI, Impact factor: 2.474) (こちら) |
| [3] | Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, *Lanfen Lin, Amir Hossein Foruzan, Xiong Wei, *Yen-Wei Chen, “VesselNet: A Deep Convolutional Neural Network with Multi Pathways for Robust Hepatic Vessel Segmentation,” Computerized Medical Imaging and Graphics, Vol.75, pp.74-83 (2019). (SCI, Impact factor: 3.29) (こちら) |
| [4] | Titinunt Kitrungrotsakul, Xian-Hau Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, and *Yen-Wei Chen, “A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, (2019) (SCI, Impact factor: 2.4) (こちら) |
| [5] | Yinhao Li, Katsuhisa Ogawa, Yutaro Iwamoto, *Yen-Wei Chen, “Novel Image Restoration Method Based on Multi-frame Super-resolution for Atmospherically Distorted Images,” IET Image Processing, Vol.14, pp.168-175, 2019. (Impact factor: 2.004) (こちら) |
| [6] | Liying Peng, *Lanfen Lin, Hongjie Hu, Huali Li, Xiaoli Ling, Dan Wang, Xianhua Han, Yutaro Iwamoto and Yen-Wei Chen, “Classification and Quantification of Emphysema Using a Multi-Scale Residual Network,” IEEE Journal of Biomedical and Health Informatics, Vol.23, No.6, pp.2526-2536 (2019). (SCI, Impact factor: 5.05) (こちら) |
| [7] | Ryosuke Sato, Yutaro Iwamoto, Kook Cho, Do-Young Kang, Yen-Wei Chen, “Accurate BAPL Score Classification of Brain PET Images Based on Convolutional Neural Networks with a Joint Discriminative Loss Function,” Applied Science, Vol.10, 2020 (SCI, Impact factor: 2.474) (こちら) |
| [8] | Mahdi Delavari, Amir Hossein Foruzan, Yen-Wei Chen, “Accurate point correspondences using a modified coherent point drift algorithm, “ Biomedical Signal Processing and Control, Vol.52, pp.429-444 (2019-7). (SCI, Impact factor: 2.943) (こちら) |
| [9] | Jia-Qing Liu, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen, “A Preliminary Study of Kinect-Based Real-Time Hand Gesture Interaction Systems for Touchless Visualizations of Hepatic Structures in Surgery,” Medical Imaging and Information Sciences(医用画像情報学会雑誌), Vol.36, pp. 128-135, 2019. (こちら) |
| [10] | Panyanat Aonpong, Qingqin Chen, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, and Yen-Wei Chen, “Comparison of Machine Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma,” Journal of Image and Graphics, Vol.7, No. 4, pp. 117-125, 2019. (こちら) |
| [11] | Kazuki Otsuki, Yutaro Iwamoto, Yen-Wei Chen, Akira Furukawa, and Shuzo Kanasaki, “Cine-MR Image Segmentation for Assessment of Small Bowel Motility Function Using 3D U-Net,” Journal of Image and Graphics, Vol.7, No. 4, pp. 134-139, 2019. (こちら) |
Proceedings of International Conference (with referees)
| [1] | Yusuke YOSHINOBU, Yutaro IWAMOTO, Xianhua HAN, *Lanfen LIN, *Hongjie HU, Qiaowei ZHANG, and *Yen-Wei CHEN, “Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images,” Proc. of 38th IEEE International Conference on Consumer Electronics (IEEE ICCE2020), pp.1-4, Las Vegas, USA, Jan. 4-6, 2020. (こちら) |
| [2] | Yohei Takeda, Yutaro Iwamoto, and Yen-Wei Chen, “Color Guided Depth Map Super-Resolution based on a Deep Self-Learning Approach,” Proc. of 38th IEEE International Conference on Consumer Electronics (IEEE ICCE2020), pp.1-4, Las Vegas, USA, Jan. 4-6, 2020. (こちら) |
| [3] | Masataka Seo, Takahiko Yamamoto, Toshihiro Kitajima and Yen-Wei Chen, “High-Resolution Gaze-Corrected Image Generation based on Combined Conditional GAN and Residual Dense Network,” Proc. of 38th IEEE International Conference on Consumer Electronics (IEEE ICCE2020), Las Vegas, USA, Jan. 4-6, 2020 (こちら) |
| [4] | NGUYEN Thanh Long, Yutaro IWAMOTO, Yen-Wei CHEN, “An improved Faster R-CNN based mobile food object detection and classification system,” 38th IEEE International Conference on Consumer Electronics (IEEE ICCE2020), Las Vegas, USA, Jan. 4-6, 2020. |
| [5] | Yoshiharu Kawai, Masataka Seo, and *Yen-Wei Chen, “Static2Dynamic GAN Mod1e l for Generation of Dynamic Facial Expression Images,” 38th IEEE International Conference on Consumer Electronics (IEEE ICCE2020), Las Vegas, USA, Jan. 4-6, 2020.(こちら) |
| [6] | Jiaqing Liu, Kotaro Furusawa, Tomoko Tateyama, Yutaro Iwamoto, *Yen-Wei Chen, “An Improved Hand Gesture Recognition with Two-Stage Convolutional Neural Networks Using a Hand Color Image and Its Pseudo-Depth Image,” Proc. of 2019 IEEE International Conference on Image Processing (IEEE ICIP 2019), Taibei, Taiwan, pp.375-379, Sep. 22-25, 2019. (こちら) |
| [7] | Xiao Chen, *Lanfen Lin, Dong Liang, *Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han, *Yen-Wei Chen, Ruofeng Tong, Jian Wu, ”A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images,” Proc. of 2019 IEEE International Conference on Image Processing (IEEE ICIP 2019), Taibei, Taiwan, pp.235-239, Sep. 22-25, 2019. (こちら) |
| [8] | Dong Liang*, Lanfen Lin*, Xiao Chen, Hongjie Hu*, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen*, Ruofeng Tong, Jian Wu,”Multi-stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic CT Images,” Proc. of 2019 IEEE International Conference on Image Processing (IEEE ICIP 2019), Taibei, Taiwan, pp.794-798, Sep. 22-25, 2019. (こちら) |
| [9] | Titinunt Kitrungrotsakul, Xian-Hau Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong, and *Yen-Wei Chen, “A Cascade of CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Image,” Proc. of the 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP2019), Brighton, UK, pp.1239-1243, May 12-17, 2019(こちら) |
| [10] | 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,” Proc. of the 41st International Engineering in Medicine and Biology Conference (EMBC2019), Berlin, Germany, pp.4881-4884, July 23-27, 2019.(こちら) |
| [11] | Yoshihiro Todoroki, Yutaro Iwamoto, *Lanfen Lin, *Hongjie Hu, and *Yen-Wei Chen, “Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using a Multi-channel & Multi-scale CNN,” Proc. of the 41st International Engineering in Medicine and Biology Conference (EMBC2019), Berlin, Germany, pp.872-875, July 23-27, 2019.(こちら) |
| [12] | Yutaro Iwamoto, Kun Xiong, Takahiro Kitamura, Xian-Hua Han, Naoki Matsushiro, Hiroshi Nishimura, *Yen-Wei Chen, “Automatic Segmentation of the Parasanal Sinus from Computer Tomography Images Using a Probabilistic Atlas and a Fully Convolutional Network,” Proc. of the 41st International Engineering in Medicine and Biology Conference (EMBC2019), Berlin, Germany, pp.2789-2792, July 23-27, 2019.(こちら) |
| [13] | 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,” In: Shen D. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science, LNCS11769, Springer, pp.148-156, 2019.(こちら) |
| [14] | Kotaro Furusawa, Jiaqing Liu, Seiju Tsujinaga, Tomoko Tateyama, Yutaro Iwamoto, *Yen-Wei Chen, “Robust Hand Gesture Recognition Using Multimodal Deep Learning for Touchless Visualization of 3D Medical Images,” In: Liu Y., Wang L., Zhao L., Yu Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham, pp.593-600, 2020 (Kumin, China, July 20-22, 2019)(こちら) |
| [15] | Ziyu Zhao, Yutaro Iwmoto, Yuji Tezuka, Hiroki Okada, Kiyosumi Maeda, Atsuyuki Wada, Atsunori Kashiwagi, *Yen-Wei Chen, “Automatic Segmentation of Visible Epicardium Using Deep Learning in CT Image,” In: Liu Y., Wang L., Zhao L., Yu Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham, pp.577-584, 2020 (Kumin, China, July 20-22, 2019)(こちら) |
| [16] | Yu Song, Xu Qiao, Yutaro Iwmoto, Yen-Wei Chen, “Semi-automatic Cephalometric Landmark Detection on X-ray Images Using Deep Learning Method,” In: Liu Y., Wang L., Zhao L., Yu Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham, pp.585-592, 2020 (Kumin, China, July 20-22, 2019)(こちら) |
| [17] | Jian Song, Sihang Zhu, Lanfen Lin, Hongjie Hu, *Yen-Wei Chen, “Tensor-Based Subspace Learning for Classification of Focal Liver Lesions in Multi-phase CT Images,” In: Liu Y., Wang L., Zhao L., Yu Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham, pp.601-608, 2020 (Kumin, China, July 20-22, 2019)(こちら) |
| [18] | Jia-Qing Liu, Yue Huang, Xin-Yin Huang, Xiao-Tong Xia, Xi-Xi Niu and Yen-Wei Chen, ”Multimodal Behavioral Dataset of Depressive Symptoms in Chinese College Students–Preliminary Study,” In: Chen YW., Zimmermann A., Howlett R., Jain L. (eds) Innovation in Medicine and Healthcare Systems, and Multimedia. Smart Innovation, Systems and Technologies, vol 145. Springer, Singapore, pp.179-190, 2019 (Proc. of InMed2019, Malta, June 17-19, 2019)(こちら) |
| [19] | Ryosuke Sato, Yutaro Iwamoto, Kook Cho, Do-Young Kang and Yen-Wei Chen, “Comparison of CNN Models with Different Plane Images and Their Combinations for Classification of Alzheimer’s Disease Using PET Images,” In: Chen YW., Zimmermann A., Howlett R., Jain L. (eds) Innovation in Medicine and Healthcare Systems, and Multimedia. Smart Innovation, Systems and Technologies, vol 145. Springer, Singapore, pp.169-177, 2019 (Proc. of InMed2019, Malta, June 17-19, 2019) (こちら) |
| [20] | Ryo Hasegawa, Yutaro Iwamoto, Yen-Wei Chen: “Robust Detection and Recognition of Japanese Traffic Sign in the Complex Scenes Based on Deep Learning,” Proc. of 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), Osaka, Japan, Oct.15-18, 2019 (こちら) |
| [21] | Sota Yaotome, Masataka Seo, Naoki Matsushiro, Yen-Wei Chen: “Simulation of Facial Palsy using Conditional Generative Adversarial Networks,” Proc. of 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), Osaka, Japan, Oct.15-18, 2019 (こちら) |
Proceedings of Domestic Conference (without referees)
| [1] | 八乙女颯太, 瀬尾昌孝, 松代直樹, 陳延偉, “Conditional GANsによる顔画像の表情変換と顔面神経麻痺シミュレーション,” 第24回日本顔学会大会, o3-3, 北海道情報大学, 2019.9.14-15. |
| [2] | 川井 克治、瀬尾 昌孝、陳 延偉, ”深層生成モデルを用いた表情変化時系列特徴の獲得と動画像の生成,” 第24回日本顔学会大会, o3-1, 北海道情報大学, 2019.9.14-15. |
| [3] | 山本敬彦，瀬尾昌孝，北島利浩, 陳延偉, “三次元pix2pixによる時系列変化を考慮した顔画像の視線補正,” 第24回日本顔学会大会, o4-2, 北海道情報大学, 2019.9.14-15. |
| [4] | 迫間季生, 瀬尾昌孝, 陳延偉, “ss-InfoGAN を用いた制御可能な全身画像生成,” 令和元年電気関係学会関西連合大会, G12-1, 大阪市立大学, 2019.11.31-12.1. |
| [5] | 川原稔暉, 岩本祐太郎, Hongjie HU, Qingqing CHEN, Lanfen LIN, 陳延偉, “Two-component decompositionを用いた深層学習におけるネットワークの軽量化・最適化,” 令和元年電気関係学会関西連合大会, G12-7, 大阪市立大学, 2019.11.31-12.1. |
| [6] | 神保日華里, TitinuntKitrungrotsakul, 岩本祐太郎, HongjieHU, QingqingCHEN, LanfenLIN, 陳延偉, “深層学習を用いたCT画像からの肝臓領域の対話型セグメンテーション,” 令和元年電気関係学会関西連合大会, G12-8, 大阪市立大学, 2019.11.31-12.1. |
| [7] | 深町里緒, 瀬尾昌孝, 陳延偉, “深層生成モデルを用いた表情変化顔画像における潜在変数空間の獲得,” 令和元年電気関係学会関西連合大会, G12-9, 大阪市立大学, 2019.11.31-12.1. |
| [8] | 大津賢斗, 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動画像の自動生成,” 令和元年電気関係学会関西連合大会, G12-11, 大阪市立大学, 2019.11.31-12.1. |