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2024年度発表論文

Journals(with referees)
[1] Yang Ai, Jing Liu, Yinhao Li, Fang Wang, Xiuju Du, Rahul Kumar Jain, *Lanfen Lin, *Yen-Wei Chen, ”SAMA: A Self-and-Mutual Attention Network for Accurate Recurrence Prediction of Non-Small Cell Lung Cancer Using Genetic and CT Data” IEEE Journal of Biomedical and Health Informatics, vol. ??, No. ??, pp. ?? - ??, 2024, (Impact factor: 7.021) (こちら)
[2] Yulin Yang, Qingqing Chen, Jing Liu, Yinhao Li, Fang Wang, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin∗, Hongjie. Hu∗ and Yen-Wei. Chen, ”Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images,” IEEE Journal of Biomedical and Health Informatics, vol. 28, No. 8, pp. 4737 - 4750, 2024, (Impact factor: 7.021) (こちら)
[3] Shurong Chai, Rahul Kumar Jain, Jiaqing Liu, Shiyu Teng, Tomoko Tateyama, Yinhao Li, *Yen-Wei Chen, “A motion-aware and temporal-enhanced Spatial–Temporal Graph Convolutional Network for skeleton-based human action segmentation,” Neurocomputing, Vol.518, pp.??-?? (2024) (Impact factor: 5.779) (こちら)
[4] Peketi Divya, Yenduri Sravani, Chalavadi Vishnu, *C Krishna Mohan, *Yen Wei Chen, “Memory Guided Transformer with Spatio-Semantic Visual Extractor for Medical Report Generation,” IEEE Journal of Biomedical and Health Informatics, vol. ??, No. ??, pp. ??-??, 2024, (Impact factor: 7.021) (こちら)
[5] Yulin Yang, Qingqing Chen, Jing Liu, Yinhao Li, Fang Wang, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin∗, Hongjie Hu∗ and Yen-Wei Chen∗, “OA-GAN: Organ-Aware Generative Adversarial Network for Synthesizing Contrast-enhanced Medical Images,” Biomedical Physics & Engineering Express, Vol.10, No.3, pp.??-?? (2024) (SCI, impact factor: 1.50)(こちら)
[6] Shiyu Teng, Jiaqing Liu, Yue Huang, Shurong Chai, Tomoko Tateyama, Xinyin Huang, Lanfen Lin and *Yen-Wei Chen, “An Intra- and Inter-Emotion Transformer-based Fusion Model with Homogeneous and Diverse Constraints Using Multi-emotional Audiovisual Features for Depression Detection,” IEICE Trans. Information and Systems, Vol.E107-D, No.3, pp.342 -353 (2024). (SCI, impact factor: 0.42) (こちら)
Proceedings of International Conference (with referees)
[1] Jihong Hu, Yinhao Li, Hao Sun, Yu Song, Chujie Zhang, Lanfen Lin, Yen-Wei Chen, “LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation,” M. G. Linguraru et al. (Eds.): MICCAI 2024, LNCS 15012, 2024. (こちら)
[2] Shurong Chai, Rahul K. Jain, Shaocong Mo, Jiaqing Liu, Yulin Yang, Yinhao Li, Tomoko Tateyama, Lanfen Lin, Yen-Wei Chen, “A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation,” M. G. Linguraru et al. (Eds.): MICCAI 2024, LNCS 15009, pp.23-33, 2024. (こちら)
[3] Shiyu Teng, Shurong Chai, Jiaqing Liu, Tomoko Tateyama, Lanfen Lin and *Yen-wei Chen, “Enhancing Depression Detection through Sentiment Data and Cross-Attention Mechanisms: A Two-Stage Training Approach,” Proc. of the 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2024), pp.1-4, Orlando, Florida, USA, July 15-19, 2024. (H5 index: 43) (Oral Presentation) (こちら)
[4] Yang Ai, Xiuju Du, Jing Liu, Yinhao Li, Lanfen Lin, Jingsong Li and Yen-Wei Chen, “Biologically Interpretable Model for Precise Recurrence Prediction of Non-Small Cell Lung Cancer,” Proc. of the 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2024), pp.1-4, Orlando, Florida, USA, July 15-19, 2024. (H5 index: 43) (Oral Presentation) (こちら)
[5] Yulin Yang, Jing Liu, Qingqing Chen, Yinhao Li, Xian-Hua Han, Hongjie Hu, Lanfen Lin, and Yen-Wei Chen, “GANs-guided Conditional Diffusion Model for Synthesizing Contrast-enhanced Computed Tomography Images,” Proc. of the 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2024), pp.1-4, Orlando, Florida, USA, July 15-19, 2024. (H5 index: 43) (Oral Presentation) (こちら)
[6] Gan Zhan, Xiuju Du, Jing Liu, Yinhao Li, Jingsong Li and Yen-Wei Chen, “STFormer: Learning to Explore Spot Relationships for Spatial Transcriptomics Prediction from Histology of Colorectal Cancer,” Proc. of the 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2024), pp.1-4, Orlando, Florida, USA, July 15-19, 2024. (H5 index: 43) (Oral Presentation). (こちら)
[7] Jihong Hu, Yinhao Li, Lanfen Lin, and Yen-Wei Chen, “UPMatch: Enhancing Semi-Supervised Medical Image Classification through Contrastive Learning with Unreliable Pseudo Labels,” Proc. of the 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2024), pp.1-4, Orlando, Florida, USA, July 15-19, 2024. (H5 index: 43) (Poster Presentation) (こちら)
[8] Hikari Maeda, Yutaro Iwamoto, Mashiro Nonaka, Yinhao Li, Rahul JAIN, Yen-Wei Chen, “Volume Ensemblinng to Enhance Zero-Shot 3D Brain Ventricle Segmentation Using Task Support Sets,” Proc. of 2024 International Workshop on Intelligent Image Processing and Pattern Recognition (IIPPR2024), pp.1-4, Jinan, China, Aug. 19-21, 2024. (こちら)
[9] Ibuki Naka, Yutaro Iwamoto, Yin-hao Li, Rahul Kumar Jain, Xianhua Han, Yuji Tezuka, Hiroki Okada, Kiyosumi Maeda, Atsuyuki Wada, Atsunori Kashiwagi, Yen-Wei Chen, “TDUNet: A Transformer-based Dense U-Net for Enhanced Epicardium Segmentation in CT Images,” Proc. of 2024 International Workshop on Intelligent Image Processing and Pattern Recognition (IIPPR2024), pp.1-4, Jinan, China, Aug. 19-21, 2024. (こちら)
[10] Nozomi Mise, Rahul Kumar Jain, Yin-hao Li, Yen-Wei Chen, “An Enhanced YOLOv5 with Attention Mechanism for Automatic Fish Detection in the Wild,” Proc. of 2024 International Workshop on Intelligent Image Processing and Pattern Recognition (IIPPR2024), pp.1-4, Jinan, China, Aug. 19-21, 2024. (こちら)
[11] Atsushi Tajima, Masataka Seo, Naoki Matsushiro, Yen-Wei Chen, “Simulation of Facial Palsy Using Stable Diffusion with Partially Fine-tuned ControlNet,” Proc. of 2024 International Workshop on Intelligent Image Processing and Pattern Recognition (IIPPR2024), pp.1-4, Jinan, China, Aug. 19-21, 2024. (こちら)
[12] Rahul Kumar JAIN, Shurong CHAI, Takahiro SATO, Ahmed M El-Sayed, Taro WATASUE, Tomohiro NAKAGAWA, Xianhua HAN, Lanfen LIN, Hongjie HU, Xiang RUAN, and Yen-Wei CHEN⋆, “Improved Liver Lesion Detection Using Foundation Model: A Novel Approach,” In: Chen, YW., Tanaka, S., Howlett, R.J., Jain, L.C. (eds) Innovation in Medicine and Healthcare. KES InMed 2024. Smart Innovation, Systems and Technologies, Springer, vol ??, pp.??-??, June 2024.(こちら)
[13] Gan Zhan, Fang Wang, Rahul Kumar JAIN, Yinhao Li, Weibin Wang, Qingqing Chen, Lanfen Lin, Hongjie Hu, C. Krishna Mohan, and Yen-Wei Chen, “A Multi-Type Tissue Heatmaps based Model for Postoperative Early Recurrence Prediction of Hepatocellular Carcinoma Using Histopathological Images,” In: Chen, YW., Tanaka, S., Howlett, R.J., Jain, L.C. (eds) Innovation in Medicine and Healthcare. KES InMed 2023. Smart Innovation, Systems and Technologies, Springer, vol ??, pp.??-??, June 2024.(こちら)
[14] Yulin Yang, Jing Liu, Qingqing Chen, Yinhao Li, Xian-Hua Han, Hongjie Hu, Lanfen Lin, and Yen-Wei Chen, “An Improved Conditional Diffusion Model for Synthesizing Contrast-enhanced Computed Tomography Images,” In: Chen, YW., Tanaka, S., Howlett, R.J., Jain, L.C. (eds) Innovation in Medicine and Healthcare. KES InMed 2024. Smart Innovation, Systems and Technologies, Springer, vol ??, pp.??-??, June 2024.(こちら)
[15] Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Fang Wang, Qingqing Chen, Hongjie Hu, and Yen-Wei Chen, “Modality-Aware Graph Reasoning Network for Focal Liver Lesions Classification in Multimodal Magnetic Resonance Imaging,” In: Chen, YW., Tanaka, S., Howlett, R.J., Jain, L.C. (eds) Innovation in Medicine and Healthcare. KES InMed 2024. Smart Innovation, Systems and Technologies, Springer, vol ??, pp.??-??, June 2024.(こちら)
[16] Xianru Zhang, Fang Wang, Yinhao Li, Lanfen Lin, Hongjie Hu, Yen-Wei Chen, “Multimodal Fusion with Cross-attention Transformer for HCC Early Recurrence Prediction from Multi-Phase CT and Clinical Data,” In: The 7th International Conference on Machine Learning and Machine Intelligence (MLMI2024), Osaka, Japan, Aug. 2024.(こちら)
Proceedings of Domestic Conference (without referees)
[1] 余浩, 劉家慶, 李印豪,陳延偉, "Stable Diffusionモデルを用いた連続性のあるビデオ画風変換," 映像情報メディア学会 関西支部 若手研究発表会, 2024年12月22日.
[2] Chujie Zhang・Yinhao Li・Jihong Hu・Lanfen Lin・Yen-Wei Chen, "Diffusion Schrodinger Bridge for Unpaired H&E-to-IHC Stain Translation," 映像情報メディア学会 関西支部 若手研究発表会, 2024年12月22日.