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2021年度発表論文

Journals(with referees)
[1] Saeed Mohagheghi, Mehdi Alizadeh, Seyed Mahdi Safavi, Amir H Foruzan, Yen-Wei Chen, “Integration of CNN, CBMIR, and Visualization Techniques for Diagnosis and Quantification of Covid-19 Disease,” IEEE Journal of Biomedical and Health Informatics, accepted. (SCI, Impact factor: 5.2) (こちら)
[2] Rui Xu, Tiantian Liu, Xinchen Ye, Fei Liu, Lin Lin, Liang Li, Satoshi Tanaka, Yen-Wei Chen, “Joint Extraction of Retinal Vessels and Centerlines Based on Deep Semantics and Multi-Scaled Cross-Task Aggregation,” IEEE Journal of Biomedical and Health Informatics, accepted. (SCI, Impact factor: 5.2) (こちら)
[3] Titinunt Kitrungrotsakul, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Lanfen Lin, Ruofeng Tong, Jingsong Li, and *Yen-Wei Chen, “Accurate and fast mitotic detection using an anchor‑free method based on full‑scale connection with recurrent deep layer aggregation in 4D microscopy images,” BMC Bioinformatics, (2021) (SCI, Impact Factor: 3.242) . (こちら)
[4] Rahul Kumar JAIN, Yutaro IWAMOTO, Taro WATASUE, Tomohiro NAKAGAWA, Takahiro SATO, Xiang RUAN, Yen-Wei CHEN, “Weakly Supervised Logo Detection Using a Dual-Attention Dilated Residual Network,” The Journal of the Institute of Image Electronics Engineers of Japan, Accepted (2021). (こちら)
Proceedings of International Conference (with referees)
[1] Huiming Huang, *Ming Cai, Lanfen Lin, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, *Jianying Zhou, Ruofeng Tong, Yutaro Iwamoto, Xian-Hua Han, *Yen-Wei Chen, Ruofeng Tong, ” Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation,” Proc. of the 46th IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP2021), 2021, in press, (こちら)
[2] Haohua DONG, Yutaro IWAMOTO, Xianhua HAN, Lanfen LIN, Hongjie HU, Xiujun CAI, and Yen-Wei CHEN, “Case Discrimination: Self-supervised Feature Learning for the classication of Focal Liver Lesions,” in Y.-W. Chen et al. (eds.), Innovation in Medicine and Healthcare, Smart Innovation, Systems and Technologies (Proc. of InMed2021), (2021) in press. (こちら)
[2] Haohua DONG, Yutaro IWAMOTO, Xianhua HAN, Lanfen LIN, Hongjie HU, Xiujun CAI, and Yen-Wei CHEN, “Case Discrimination: Self-supervised Feature Learning for the classication of Focal Liver Lesions,” in Y.-W. Chen et al. (eds.), Innovation in Medicine and Healthcare, Smart Innovation, Systems and Technologies (Proc. of InMed2021), (2021) in press. (こちら)
[3] Toshiki Kawahara, Akitoshi Inoue, Yutaro Iwamoto, Akira Furukawa, Yen-Wei Chen, “Computer-Aided Diagnosis of Peritonitis on Cine MRI Using Deep Optical Flow Network” in Y.-W. Chen et al. (eds.), Innovation in Medicine and Healthcare, Smart Innovation, Systems and Technologies (Proc. of InMed2021), (2021) in press (こちら)
[4] Panyanat Aonpong, Yutaro Iwamoto, Weibin Wang, *Lanfen Lin and *Yen-Wei Chen, “Genomics-based Models for Recurrence Prediction of Non-Small Cells Lung Cancers” in Y.-W. Chen et al. (eds.), Innovation in Medicine and Healthcare, Smart Innovation, Systems and Technologies (Proc. of InMed2021), (2021) in press (こちら)
[5] Xinran Zhang, Yutaro Iwamoto, Jingliang Cheng, Jie Bai, Guohua Zhao, Xian-hua Han and Yen-Wei Chen, “IDH Mutation Status Prediction by Modality-Self Attention Network” in Y.-W. Chen et al. (eds.), Innovation in Medicine and Healthcare, Smart Innovation, Systems and Technologies (Proc. of InMed2021), (2021) in press (こちら)
Proceedings of Domestic Conference (without referees)
[1] 川原稔暉, 井上明星,古川顕,岩本祐太郎, 陳延偉, “オプティカルフロー深層ネットワークを用いたCine-MRによる腹膜炎診断支援,” 日本生体医工学会生体画像と医用人工知能研究会, 2020.3.10.
[2] Xinren Zhang, 岩本祐太郎, Jingliang Cheng, Jie Bai, Guohua Zhao, 韓先花, 陳 延偉, ”Modality-self Attentioonを用いた脳膠腫IDH遺伝子変異予測,” 日本生体医工学会生体画像と医用人工知能研究会, 2021.3.10.

 

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