論文
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2022年度発表論文
Journals(with referees)
| [1] | Yutaro Iwamoto, Kyohei Takeda, Yinhao Li, Akihiko Shiino, and Yen-Wei Chen, “Unsupervised MRI Super-Resolution using Deep External Learning and Guided Residual Dense Network with Multimodal Image Priors,” IEEE Transactions on Emerging Topics in Computational Intelligence, Vol.7, No.2, pp.426-435, 2023. (SCI, impact factor: 4.851) (こちら) |
| [2] | Shurong Chai, Jiaqing Liu, Tomoko Tateyama, Yutaro Iwamoto, Lanfen Lin, *Yen-Wei Chen, “A Multi-head Pseudo Nodes Based Spatial-Temporal Graph Convolutional Network for Emotion Perseption from GAIT,” Neurocomputing, Vol.511, pp.437-447 (2022) (SCI, impact factor: 5.779) (こちら) |
| [3] | Hao Sun, Jiaqing Liu, Yen-Wei Chen, Lanfen Lin, “Modality-Invariant Temporal Representation Learning for Multimodal Sentiment Classification,“ Information Fusion, online 4 November 2022. (SCI, impact factor: 12.975) (こちら) |
| [4] | 劉 家慶, 木下 将児, 柴 樹榕, 健山 智子, 岩本 祐太郎, 陳 延偉, “Dual Attention機構を取り入れた時空間グラフ畳み込みネットワークによる歩行からの感情認識,” The Journal of the Institute of Image Electronics Engineers of Japan, Vol.51 No.4, pp.309-317（2022） (こちら) |
| [5] | Xinran Zhang, Xiaoyu Shi, Yutaro Iwamoto, Jingliang Cheng, Jie Bai, Guohua Zhao, Xian-hua Han and Yen-Wei Chen, ,”IDH Mutation Status Prediction by a Radiomics Associated Modality Attention Network,” The Visual Computer, Vol. ??, pp. ??-?? (2022) (SCI, impact factor: 2.602) (こちら) |
| [6] | Weibin WANG, Fang WANG, Qingqing CHEN, Shuyi OUYANG, Yutaro IWAMOTO, Xianhua HAN, Lanfen Lin, Hongjie Hu, Ruofeng Tong, *Yen-Wei CHEN, “Phase Attention Model for Prediction of Early Recurrence of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data,” Frontiers in Radiology, Vol.??, pp.??-?? (2022) (こちら) |
| [7] | Huimin Huang, Qingqing Chen, Lanfen Lin, Ming Cai, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen and Ruofeng Tong, “MTL-ABS3Net: Atlas-Based Semi-Supervised Segmentation Network with Multi-Task Learning for Medical Images,” IEEE Journal of Biomedical and Health Informatics, Vol.26, pp.3988-3998 (2022). (SCI, Impact factor: 5.2) (こちら) |
| [8] | Zhaolin Qiu, Jiaqing Liu, Hao Sun, *Lanfen Lin and *Yen-Wei Chen: “CoSTHR: A Heart Rate Estimating Network with Adaptive Color Space Transformation,” IEEE Transactions on Instrumentation & Measurement, Vol.71, pp.1-10 (2022) (SCI, impact factor: 4.016) (こちら) |
| [9] | Xu Ma, Junkun Yuan, Yen-Wei Chen, Ruofeng Tong and Lanfen Lin: “Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation,” Neurocomputing, Vol.499, pp.1-10 (2022) (SCI, impact factor: 5.719) (こちら) |
| [10] | Saeed Moslehi; Amir Hossein Foruzan; Yen-Wei Chen; Hongjie Hu, “Characterization of Focal Liver Lesions in Multi-phase CT images Using Textural and Pathological Descriptors,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 202 (SCI, impact factor: 2.269) (こちら) |
Proceedings of International Conference (with referees)
| [1] | He Li, Yutaro Iwamoto, Xianhua Han, *Lanfen Lin, Hongjie Hu and *Yen-Wei Chen, “An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesions,” In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. Lecture Notes in Computer Science, vol 13438, Springer, Cham, pp.214-223, 2022. (こちら) |
| [2] | Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng, “ClassFormer: Exploring Class-aware Dependency with Transformer for Medical Image Segmentation,“ in Proc. Association for the Advancement of Artificial Intelligence（AAAI 2022）, pp.917-925, 2022. (H5 index: 180) (こちら) |
| [3] | Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng, “ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation,“ in Proc. International Joint Conference on Artificial Intelligence (IJCAI2022), pp.964-971, 2022. (こちら) |
| [4] | Hao Sun, Hongyi Wang, Jiaqing Liu, Yen-Wei Chen, Lanfen Lin, “CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation,” in Proceedings of the 30th ACM International Conference on Multimedia (MM’22), pp.3722-3729, Oct. 2022. (こちら) |
| [5] | Swathi Ananda, Yutaro Iwamoto, Xianhua HAN, *Lanfen Lin, *Hongjie Hu and *Yen-Wei Chen: “Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images,” Proc. of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2022), pp.1552-1555, Glasgow, UK, July 11-15, 2022. (こちら) |
| [6] | Rahul Kumar JAIN, Takahiro SATO, Taro WATASUE, Tomohiro NAKAGAWA, Yutaro IWAMOTO, Xianhua HAN, *Lanfen LIN, *Hongjie HU Xiang RUAN and *Yen-Wei CHEN: “Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images,” Proc. of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2022), pp.1536-1539, Glasgow, UK, July 11-15, 2022. (こちら) |
| [7] | Yang Ai, Panyanat Aonpong, Weibin Wang, Yinhao Li, Yutaro Iwamoto, Xianhua Han, Yen- Wei Chen*: “Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer,” Proc. of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2022), pp.447-450, Glasgow, UK, July 11-15, 2022. (こちら) |
| [8] | Xiaoyu Shi, Xinran Zhang, Yutaro Iwamoto, Jingliang Cheng, Jie Bai, Guohua Zhao and Yen-Wei Chen*: “An Intra- and Inter-Modality Fusion Model Using MR Images for Prediction of Glioma Isocitrate Dehydrogenase (IDH) Mutation,” Proc. of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2022), pp.198-202, Glasgow, UK, July 11-15, 2022. (こちら) |
| [9] | Yulin Yang, Caie Xu, Qingqing Chen, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin*, Hongjie Hu*, Ruofeng Tong, and Yen-Wei Chen*: "Synthesizing Contrast-Enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network," Proc. of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2022), pp.2097-2100, Glasgow, UK, July 11-15, 2022. (こちら) |
| [10] | Rahul Kumar JAIN, Takahiro SATO, Taro WATASUE, Tomohiro NAKAGAWA, Yutaro IWAMOTO, Xianhua HAN, Lanfen LIN, Hongjie HU, Xiang RUAN, and Yen-Wei CHEN*: “Unsupervised Domain Adaptation with Adversarial Learning for Liver Tumors Detection in Multi-phase CT Images,” In: Chen, YW., Tanaka, S., Howlett, R.J., Jain, L.C. (eds) Innovation in Medicine and Healthcare. Smart Innovation, Systems and Technologies (Proc. of InMed-22), vol 308. Springer, Singapore. pp.149-159, 2022. (こちら) |
| [11] | Chanyu LEE, Yutaro IWAMOTO, Lanfen LIN, Hongjie HU, and Yen-Wei CHEN*: “Improved Mask R-CNN with Deformable Convolutions for Accurate Liver Lesion Detection in Multiphase CT Images,” In: Chen, YW., Tanaka, S., Howlett, R.J., Jain, L.C. (eds) Innovation in Medicine and Healthcare. Smart Innovation, Systems and Technologies (Proc. of InMed-22), vol 308. Springer, Singapore. pp.141-148, 2022. (こちら) |
| [12] | Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong, “Mixed Transformer U-Net for Medical Image Segmentation,” Proc. of 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP2022), pp.2390-2394, Singapore, May 22-27, 2022 (こちら) |
| [13] | Rui Xu, Yufeng Wang, Xinchen Ye, Pengcheng Wu, Yen-Wei Chen, Fangyi Xu, Wenchao Zhu, Chao Chen, Yong Zhou, Hongjie Hu, Xiaofeng Qu, Shoji Kido, Noriyuki Tomiyama, “Pixel-leve and Affinity-level Knowledge Distillation for Unsupervised Segmentation of COVID-19 Lesions,” Proc. of 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP2022), pp.1376-1380, Singapore, May 22-27, 2022 (こちら) |
| [14] | Tatsuya Hanano, Masataka Seo and Yen-Wei Chen, “Accurate and Efficient Generation of High-Resolution Facial Expression Images by Multi-Task Learning Using Generative Adversarial Networks,” In Proc. of IEEE Global Conference on Consumer Electronics (GCCE2022), Osaka Japan, Oct. 18-21, 2022. (こちら) |
| [15] | Takato Sakai, Masataka Seo, Naoki Matsushiro, Yen-Wei Chen, “Simulation of Facial Palsy using an improved GAN with two Discriminators,” In Proc. of IEEE Global Conference on Consumer Electronics (GCCE2022), Osaka Japan, Oct. 18-21, 2022. (こちら) |
| [16] | Masaya Okano, Jia-Qing Liu,Tomoko Tateyama, Yutaro Iwamoto, Yen-wei Chen, “Accurate Hand Gesture Recognition Using Color and Depth Images with Modality-invariant Fusion,” In Proc. of IEEE Global Conference on Consumer Electronics (GCCE2022), Osaka Japan, Oct. 18-21, 2022. (こちら) |
| [17] | Kazuma Okada, Yutaro Iwamoto, Yinhao Li and Yen-Wei Chen, “Automatic Reference Image Selection Approach for Reference-based Super-resolution Image,” In Proc. of IEEE Global Conference on Consumer Electronics (GCCE2022), Osaka Japan, Oct. 18-21, 2022. (こちら) |
| [18] | Tomoya Komiyama, Yutaro Iwamoto, Yinhao Li, Yu Song, Yen-Wei Chen, “Three Dimensional Microscope Image Super-resolution Using Deep Learning and Self-similarity,” In Proc. of IEEE Global Conference on Consumer Electronics (GCCE2022), Osaka Japan, Oct. 18-21, 2022. (こちら) |
| [19] | Shiyu Teng, Shurong Chai, Jiaqing Liu, Tomoko Tateyama, Xinyin Huang and *Yen-wei Chen, “A Transformer-based Multimodal Network for Audiovisual Depression Prediction,” In Proc. of IEEE Global Conference on Consumer Electronics (GCCE2022), Osaka Japan, Oct. 18-21, 2022. (こちら) |
| [20] | Weibin Wang, Fang Wang, YunjunYang, YinhaoLi, Jing Liu, Xianhua Han, *Lanfen Lin, Ruofeng Tong, *Hongjie Hu, *Yen-Wei Chen, “Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Images,” In Proc. of IEEE Global Conference on Consumer Electronics (GCCE2022), Osaka Japan, Oct. 18-21, 2022. (こちら) |
| [21] | Tatsuya Hanano, Masataka Seo and Yen-Wei Chen, “An Improved cGAN with Self-Supervised Guidance Encoder for Generation of High-Resolution Facial Expression Images,” Proc. of 41st IEEE International Conference on Consumer Electronics (IEEE ICCE2023), pp.1-4, Las Vegas, USA, Jan. 7-9, 2023. (H5 index: 27) (こちら) |
| [22] | Takato Sakai, Yen-Wei Chen, Masataka Seo, Naoki Matsushiro, “Simulation of Facial Palsy using an Improved Cycle GAN and Face Restoration Network,” Proc. of 41st IEEE International Conference on Consumer Electronics (IEEE ICCE2023), pp.1-4, Las Vegas, USA, Jan. 7-9, 2023. (H5 index: 27) (こちら) |
| [23] | Kazuki Takamiya, Yutaro Iwamoto, Masahiro Nonaka, Yen-Wei Chen, “CT Brain Image synthesization from MRI Brain Images Using CycleGAN,” Proc. of 41st IEEE International Conference on Consumer Electronics (IEEE ICCE2023), pp.1-4, Las Vegas, USA, Jan. 7-9, 2023. (H5 index: 27) (こちら) |
Proceedings of Domestic Conference (without referees)
| [1] | 岡田一真,寺田卓馬, 劉家慶, 健山智子, 木村亮介, 陳延偉, "PointNet++を用いた遺伝子関連研究に向けた3次元顔面形態認," 映情学技報, vol. 46, no. 39, ME2022-88, pp. 9-11, 2022年12月7日. |
| [3] | Shurong Chai, Rahul Kumar Jain, Jiaqing Liu, Tomoko Tateyama, Yinhao Li, Yen-Wei Chen, "A Module Selection-based Approach for Efficient Skeleton Human Action Recognition," 信学技報, vol. 122, no. 314, PRMU2022-39, pp. 40-42, 2022年12月15日. |
| [4] | Shiyu Teng, Shurong Chai, Jiaqing Liu, Tateyama Tomoko, Xinyin Huang, Yen-Wei Chen, "A transformer based feature-level fusion approach for Audiovisual Depression Prediction," 信学技報, vol. 122, no. 314, PRMU2022-42, pp. 54-56, 2022年12月15日. |
| [5] | Liang Lyu, Shurong Chai, Jiaqing Liu, Huiming Huang, Fang Wang, Tomoko Tateyama, Lanfen Lin, Yen-Wei Chen, "Computer-aided Diagnosis System of COVID-19 with Hololens," 信学技報, vol. 122, no. 291, MBE2022-22, pp. 7-10, 2022年12月3日. |
| [6] | Yu Song, Yutaro Iwamoto, Tatsuaki Goh, Yohei Kondo, Keiji Nakajima, Yen-Wei Chen, "Automatic Cell Tracking in 4D Arabidopsis Root Microscopic Images Using Genetic Algorithm," 信学技報, vol. 122, no. 98, MI2022-34, pp. 10-15, 2022年7月8日. |
| [7] | Rahul Kumar Jain, Takahiro Sato, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen, "Unsupervised Domain Adaptation for Liver Tumor Detection in Multi-Phase CT images Using Adversarial Learning with Maximum Square Loss," 信学技報, vol. 122, no. 98, MI2022-37, pp. 22-23, 2022年7月8日. |
| [8] | Swathi Ananda, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen, "Multi-phase CT Image Segmentation with Single-Phase Annotation Using Adversarial Unsupervised Domain Adaptation," 信学技報, vol. 122, no. 98, MI2022-38, pp. 24-25, 2022年7月8日. |
| [9] | Weibin Wang, Fang Wang, Yunjun Yang, Yinhao Li, Xianhua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Yen-Wei Chen, "Deep Learning-based Risk Prediction Model for Disease-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image," 信学技報, vol. 122, no. 98, MI2022-39, pp. 26-29, 2022年7月8日. |
| [10] | He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen, "Weakly-Supervised Focal Liver Lesion Detection in CT Images," 信学技報, vol. 122, no. 98, MI2022-40, pp. 30-33, 2022年7月8日. |
| [11] | 酒井孝斗、瀬尾昌孝、松代直樹、陳延偉, "Identity Discriminatorを導入したCycle GANによる顔面神経麻痺患者表情シミュレータの開発," 第27回 日本顔学会大会（フォーラム顔学2022）, O1-1, 高松，2022年9月17日. |
| [12] | 花野達也、瀬尾昌孝、陳延偉, "敵対的生成ネットワークを用いたマルチタスクラーニングによる高解像度の表情顔画像生成," 第27回日本顔学会大会（フォーラム顔学2022）, O1-3, 高松，2022年9月17日. |
| [13] | 迫間季生、瀬尾昌孝、陳延偉, "局所性の異なる情報の多段階付与による生成画像制御," 第27回 日本顔学会大会（フォーラム顔学2022）, O1-4, 高松，2022年9月17日. |
| [14] | 宋裕, 郷達明, 岩本祐太郎, 近藤洋平, 中島敬ニ, 陳延偉, "植物顕微鏡画像における細胞の検出と追跡システム," 電気学会知覚情報/次世代産業システム合同研究会, PI-23-038, オンライン，2023年3月27日. |
| [15] | PHUNG Duong Linh, 李印豪, JAIN Rahul Kumar, 陳延偉, "アテンションネットワークを用いた弱教師付き学習による肝臓病変分類," 電気学会知覚情報/次世代産業システム合同研究会, PI-23-033, オンライン，2023年3月27日. |
| [16] | 占淦, 王芳, 王偉彬, 李印豪 陳青青, 胡紅傑, 陳延偉, "病理組織画像を用いた肝細胞癌の術後早期再発予測のパッチベース深層学習モデル," 電気学会知覚情報/次世代産業システム合同研究会, PI-23-032, オンライン，2023年3月27日. |