論文
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2023年度発表論文
Journals(with referees)
| [1] | Rahul Kumar Jain, Takahiro Sato, Ahmed M. El-Sayed, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto , Xiang Ruan , and Yen-Wei Chen, “Unsupervised Logo Detection Using Adversarial Learning From Synthetic to Real Images,” IEEE Transactions on Emerging Topics in Computational Intelligence, Vol.8, No.1, pp.710-723, 2024 (SCI, impact factor: 4.851) (こちら) |
| [2] | Gan Zhan, Fang Wang, Yinhao Li, Weibin Wang, Qingqing Chen, Hongjie Hu, Lanfen Lin, Yen-Wei Chen, “ModalityFormer for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma Using Multimodality MRI or CT and Clinical Data,” IIEEJ Transactions on Image Electronics and Visual Computing, Vol.11, No.2, pp.30-37 (2023-12). (こちら) |
| [3] | Tatsuaki Goh, Yu Song, Takaaki Yonekura, Noriyasu Obushi, Zeping Den, Katsutoshi Imizu, Yoko Tomizawa, Yohei Kondo, Shunsuke Miyashima, Yutaro Iwamoto, Masahiko Inami, Yen-Wei Chen and Keiji Nakajima, ” In-Depth Quantification of Cell Division and Elongation Dynamics at the Tip of Growing Arabidopsis Roots Using 4D Microscopy, AI-Assisted Image Processing and Data Sonification.” Plant and Cell Physiology, Vol.64, No.11, pp. 1262–1278 (2023-11) (SCI, Impact factor: 4.937) (こちら) |
| [4] | He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Akira Furukawa, Shuzo Kanasaki, and Yen-Wei Chen, “3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation,” IEICE Trans. Information and Systems, Vol.E106-D, No.5, pp.1027-1037 (2023-10). (SCI, impact factor: 0.42) (こちら) |
| [5] | Yue Zhang, Chengtao Peng, Ruofeng Tong, Lanfen Lin, Yen-Wei Chen, Qingqing Chen, Hongjie Hu and S. Kevin Zhou, “Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting,” IEEE Trans. on Medical Imaging, Vol.42, No.10, pp.3091-3103 (2023-10) (SCI, impact factor: 8.182) (こちら) |
| [6] | Hongyi Wang, Yingying Xu, Qingqing Chen, Ruofeng Tong, *Yen-Wei Chen, *Hongjie Hu and *Lanfen Lin, “Adaptive Decomposition and Shared Weight Volumetric Transformer Blocks for Efficient Patch-Free 3D Medical Image Segmentation,” IEEE Journal of Biomedical and Health Informatics, vol. 27, No. 10, pp. 4854-4865, Oct. 2023, (SCI, Impact factor: 7.021) (こちら) |
| [7] | Ziwei Niu, Junkun Yuan, Xu Ma, Yen-wei Chen, Ruofeng Tong, Lanfen Lin, “Knowledge Distillation Based Multi-student Representation Learning for Domain Generalization,” IEEE Trans. Multimedia, 2023. (SCI, impact factor: 8.182) (こちら) |
| [8] | Hao Sun, Yen-Wei Chen, Lanfen Lin, “TensorFormer: A Tensor-based Multimodal Transformer for Multimodal Sentiment Analysis and Depression Detection,“ IEEE Transactions on Affective Computing, Vol.91, pp.504-514, March 2023. (SCI, impact factor: 13.99) (こちら) |
Proceedings of International Conference (with referees)
| [1] | Huimin Huang, Shiao Xie, *Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, *Yen-Wei Chen and Ruofeng Tong, “SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation,“ in Proc. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2023), pp.11340-11349, Vancouver, BC, Canada, 2023. (H5 inex: 389) (こちら) |
| [2] | Shurong Chai; Rahul Kumar Jain; Yinhao Li; Jiaqing Liu; Tomoko Tateyama, Yen-Wei Chen, “Adaptive Graph Convolutional Networks for Medical Image Segmentation,” Proc. of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2023), pp.1-4, Sydney, Australia, July 24-27, 2023.(H5 inex: 43) (こちら) |
| [3] | Xiaoyu Shi, Yinhao Li, Jingliang Cheng, Jie Bai, Guohua Zhao and Yen-Wei Chen*, “Multi-task Model for Glioma Segmentation and Isocitrate Dehydrogenase Status Prediction using Global and Local Features,” Proc. of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2023), pp.1-5, Sydney, Australia, July 24-27, 2023. (H5 index: 43) (こちら) |
| [4] | Yulin Yang; Yinhao Li; Qingqing Chen; Xian-Hua Han; Jing Liu; Lanfen Lin, Hongjie Hu, and Yen-Wei Chen, “Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images,” Proc. of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2023), pp.1-4, Sydney, Australia, July 24-27, 2023. (H5 index: 43) (こちら) |
| [5] | Rahul Kumar Jain, Takahiro Sato, Ahmed M El-Sayed, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Yinhao Li, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiang Ruan, Yen-Wei Chen, “Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images,” Proc. of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2023), pp.1-4, Sydney, Australia, July 24-27, 2023. (H5 index: 43) (こちら) |
| [8] | Peketi Divya, Chalavadi Vishnu, C Krishna Mohan, Yen-Wei Chen, “FLWGAN: Federated Learning with Wasserstein Generative Adversarial Network for Brain Tumor Segmenta,” Proc. of 2023 International Joint Conference on Neural Networks (IJCNN), Queensland, Australia, pp.1-8, June 18-23, 2023 (H5 index: 63) (こちら) |
| [9] | Ziwei Niu, Hongyi Wang, Hao Sun, Shuyi Ouyang, Yen-Wei Chen, Lanfen Lin, “MCKD: Mutually Collaborative Knowledge Distillation for Federated Domain Adaptation and Generalization,” Proc. of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP2023), pp. 1-5, Rhodes, Greece, June 4-10, 2023. (H5 index: 110) (こちら) |
| [10] | Shiao Xie, Huimin Huang, Ziwei Niu, Yen-Wei Chen, Lanfen Lin, “MEDFCT: A Frequency Domain Joint CNN-Transformer Network for Semi-Supervised Medical Image Segmentation,” Proc. 2023 IEEE International Conference on Multimedia and Expo, pp.1913-1918, Brisbane, Australia, July 10-14, 2023. (H5 index: 40) (こちら) |
| [11] | Hikari Maeda, Yutaro Iwamoto, Masahiro Nonaka, Yinhao Li and Yen-Wei Chen, “A Multi-View Weighted Fusion Model for Segmentation of Infant Brain Ventricles With Hydrocephalus in MRI,” In Proc. of IEEE 12th Global Conference on Consumer Electronics (GCCE2023), pp.727-730, Nara Japan, Oct. 10-13, 2022. (H5 index: 17) (こちら) |
| [12] | Nozomi Mise, Yinhao Li and Yen-Wei Chen, “FreISH: A Database of Japanese Freshwater Fish in the Wild and Baseline Recognition Evaluations,” In Proc. of IEEE 12th Global Conference on Consumer Electronics (GCCE2023), pp.738-741, Nara Japan, Oct. 10-13, 2022. (H5 index: 17) (こちら) |
| [13] | Xianru Zhang, Gan Zhan, Fang Wang, Yinhao Li, Lanfen Lin, Hongjie Hu, Yen-Wei Chen, “A Self-Supervised Transformer-Based Model for Early Recurrence Prediction of HCC With Multimodal MRI,” In Proc. of IEEE 12th Global Conference on Consumer Electronics (GCCE2023), pp.16-19, Nara Japan, Oct. 10-13, 2022. (H5 index: 17) (こちら) |
| [14] | Jihong Hu, Yinhao Li, Lanfen Lin, Yen-Wei Chen, “Integrating Spatial Prior Adapter for Enhancing SAM Performance in Medical Image Segmentation,” In Proc. of IEEE 12th Global Conference on Consumer Electronics (GCCE2023), pp.20-23, Nara Japan, Oct. 10-13, 2022. (H5 index: 17) (こちら) |
| [15] | Liang Lyu, Shurong Chai, Jiaqing Liu, Tateyama Tomoko, Xu Qiao, Yen-Wei Chen, “A 3D Fusion U-Net with Dual CNN and Transformer Encoders for Lung Airway Segmentation,” In Proc. of IEEE 12th Global Conference on Consumer Electronics (GCCE2023), pp.24-28, Nara Japan, Oct. 10-13, 2022. (H5 index: 17) (こちら) |
| [16] | Toshiki Hazama, Masataka Seo, Yen-Wei Chen, “Noise Search Method of Controlling Image Transformation in Diffusion Model,” In Proc. of IEEE 12th Global Conference on Consumer Electronics (GCCE2023), pp.152-155, Nara Japan, Oct. 10-13, 2022. (H5 index: 17) (こちら) |
| [17] | Jian Song, JunHao Zhang, Chang Qiu Zhang, Rahul Kumar Jain, Yen-Wei Chen, “Automatic Detection of Focal Liver Lesions in Multi-Phase CT Images Using One-Stage Object Detectors,” In Proc. of IEEE 12th Global Conference on Consumer Electronics (GCCE2023), pp.712-715, Nara Japan, Oct. 10-13, 2022. (H5 index: 17) (こちら) |
| [18] | Haoyang Hu, Masataka Seo, Yen-Wei Chen, “Eye Gaze Correction Using Recurrent Residual U-Net-Based Conditional GAN (R2A-cGAN) With AdaIN,” In Proc. of IEEE 12th Global Conference on Consumer Electronics (GCCE2023), pp.723-726, Nara Japan, Oct. 10-13, 2022. (H5 index: 17) (こちら) |
| [19] | Kazuma Okada, Takuma Terada, Ryosuke Kimura, Jia-Qing Liu, Tomoko Tateyama and Yen-Wei Chen, “3D Facial Ethnicity Identification Using Point Cloud Deep Learning with Local Area Attention,” Proc. of 42nd IEEE International Conference on Consumer Electronics (IEEE ICCE2024), pp.1-4, Las Vegas, USA, Jan. 5-8, 2024. (H5 index: 27) (こちら) |
| [20] | Masaya Okano, Jia-Qing Liu, Tomoko Tateyama and Yen-Wei Chen, “DHGD: Dynamic Hand Gesture Dataset for Skeleton-Based Gesture Recognition and Baseline Evaluations,” Proc. of 42nd IEEE International Conference on Consumer Electronics (IEEE ICCE2024), pp.1-4, Las Vegas, USA, Jan. 5-8, 2024. (H5 index: 27) (こちら) |
| [21] | Shiyu Teng; Shurong Chai; Jiaqing Liu; Tomoko Tateyama; Lanfen Lin; Yen-Wei Chen, “Multi-Modal and Multi-Task Depression Detection with Sentiment Assistance,” Proc. of 42nd IEEE International Conference on Consumer Electronics (IEEE ICCE2024), pp.1-5, Las Vegas, USA, Jan. 5-8, 2024. (H5 index: 27) (こちら) |
| [22] | Xiaoyu Shi, Yinhao Li, Jingliang Cheng, Jie Bai, Guohua Zhao, Yen-Wei Chen, “Medical SAM: A Glioma Segmentation Fine-tuning Method for SAM Using Brain MR Images,” Proc. of 42nd IEEE International Conference on Consumer Electronics (IEEE ICCE2024), pp.1-4, Las Vegas, USA, Jan. 5-8, 2024. (H5 index: 27) (こちら) |
Proceedings of Domestic Conference (without referees)
| [1] | Kazuma Okada, Takuma Terada, Ryosuke Kimura, Jia-Qing Liu, Tomoko Tateyama,Yen-Wei Chen, "ccurate Ethnicity Classification of Large-Scale Facial Point Clouds by Using Normal Vector Features and Data Augmentation based on Point Resampling," 映情学技報, vol. 48, no. 12, 3DMT2024-11, pp. 41-44, 2024年3月. |
| [2] | 迫間季生（立命館大学）, 瀬尾昌孝（大阪工業大学）, 陳延偉（立命館大学）, "Diffusion Model における画像変換結果をコントロールするノイズ探索法," 2023年度 第51回 画像電子学会年次大会, 富山県民会館, 2023年8月28-30日. |
| [3] | 山本祐輔，李印豪(立命館大，多賀洋志，岩佐幸紀，七川颯一，菅波真人，中本和宏(三井E&Sシステム技研)，陳延偉(立命館大）, "パラメータ共有U-Netによる降雨ノイズ除去," 令和5年電気関係学会関西連合大会, G12-7, 2023年11月. |
| [4] | 今村龍成，李印豪(立命館大)，多賀洋志，岩佐幸紀，七川颯一，菅波真人，中本和宏(三井E&Sシステム技研)，陳延偉(立命館大), "パラメータ共有ネットワークを用いた超解像技術," 令和5年電気関係学会関西連合大会, G12-12, 2023年11月. |
| [5] | 中伊吹，李印豪(立命館大)，岩本祐太郎(大阪電通大)，手塚祐司，岡田裕貴，前田清澄，和田幸，柏木厚典(淡海医療センター)，陳延偉(立命館大), "Tversky loss を用いた高精度な心外膜下脂肪セグメンテーション," 令和5年電気関係学会関西連合大会, G12-5, 2023年11月. |
| [6] | 田島睦士(立命館大)，瀬尾昌孝(大阪工大)，松代直樹(大阪警察病院)，陳延偉(立命館大), "Skip Connection と Patch Discriminator を用いた Faceswap による顔面神経麻痺患者表情シミュレータの開発," 令和5年電気関係学会関西連合大会, G12-11, 2023年11月. |
| [7] | 迫間季生（立命館大学）, 瀬尾昌孝（大阪工業大学）, 陳延偉（立命館大学）, "Diffusion Modelにおける画像変換の制御性能向上を促すノイズ探索法," 第28回日本顔学会大会（フォーラム顔学2023), O3-1, 2023年10月14-15日. |
| [8] | HU Haoyang（立命館大学）, 瀬尾昌孝（大阪工業大学）, 陳延偉(立命館大), "AdaINとRecurrent Residual U-netを用いた条件付き敵対的生成ネットワークによる顔画像の視点変換," 第28回日本顔学会大会（フォーラム顔学2023), O3-2, 2023年10月14-15日. |