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, Yutaro Iwamoto, Xian-Hua Han, *Yen-Wei Chen and Ruofeng Tong, “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) |
| [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] | So Sasatani, Yutaro Iwamoto, Yen-Wei Chen, “Frame Attention Recurrent Back-Projection Network for Accurate Video Super-Resolution,” Proc. of 40th IEEE International Conference on Consumer Electronics (IEEE ICCE2022), pp.1-4, Las Vegas, USA, Jan. 7-9, 2022. (こちら) |
| [22] | Takuma Terada, Ryusuke Kimura, Yen-Wei Chen, “3D Facial Ethnicity Identification Based on Cylindrical Projection and Deep Learning,” Proc. of 40th IEEE International Conference on Consumer Electronics (IEEE ICCE2022), pp.1-4, Las Vegas, USA, Jan. 7-9, 2022. (こちら) |
| [23] | Gan Zhan, Yutaro Iwamoto, Yen-Wei Chen, “HyperUNet for Medical Hyperspectral Image Segmentation on A Choledochal Database,” Proc. of 40th IEEE International Conference on Consumer Electronics (IEEE ICCE2022), pp.1-4, Las Vegas, USA, Jan. 7-9, 2022. (こちら) |
| [24] | He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen, “A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images,” Proc. of 40th IEEE International Conference on Consumer Electronics (IEEE ICCE2022), pp.1-4, Las Vegas, USA, Jan. 7-9, 2022. (こちら) |
| [25] | Toshiki Kawahara, Akitoshi Inoue, Yutaro Iwamoto, Bolorkhand Batsaikhan, Syohei Chatani, Akira Furukawa, Yen-Wei Chen, “Identification of Peritonitis Using Two-Stream Deep Spatial-Temporal Convolutional Networks,” Proc. of 40th IEEE International Conference on Consumer Electronics (IEEE ICCE2022), pp.1-4, Las Vegas, USA, Jan. 7-9, 2022. (こちら) |
| [26] | Mizuki Kato, Yutaro Iwamoto, Yen-Wei Chen, Toshitaka Sugimoto, Toru Aiba, “Fault Detection of Electric Motor Coil by YOLOv3 with Spatial Attention,” Proc. of 40th IEEE International Conference on Consumer Electronics (IEEE ICCE2022), pp.1-4, Las Vegas, USA, Jan. 7-9, 2022. (こちら) |
| [27] | Hikari Jinbo, Yutaro Iwamoto, Masahiro Nonaka, Yen-Wei Chen, “Automatic Segmentation of Infant Brain Ventricles with Hydrocephalus in MRI Based on Deep Multi-Path Learning,” Proc. of 40th IEEE International Conference on Consumer Electronics (IEEE ICCE2022), pp.1-4, Las Vegas, USA, Jan. 7-9, 2022. (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. |