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2021年度発表論文

Journals(with referees)
[1] Yinhao Li, Yutaro Iwamoto, *Lanfen Lin, Rui Xu, Ruofen Tong and *Yen-Wei Chen,”VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data,” IEEE Trans. Image Processing, Vol. 30, pp. 4840-4854 (2021) (SCI, impact factor: 9.35) (こちら)
[2] Huiminng Huang, Han Zheng, Lanfen Lin, Ming Cai, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen and Ruofeng Tong, “Medical Image Segmentation with Deep Atlas Prior.” IEEE Trans. Medical Imaging, 2021. (SCI, Impact factor: 6.685) (こちら)
[3] Jiaqing Liu, Seijyu Tsujinaga, Shurong Chai, Hao Sun, Tomoko Tateyam, Yutaro Iwamoto, Xinyin Huang, Lanfen Lin, Yen-Wei Chen, “Single Image Depth Map Estimation for Improving posture Recognition,” IEEE Sensors Journal, 2021 (accepted) . (Impact factor: 3.301) (こちら)
[4] Yu Song, Xu Qiao, Yutaro Iwamoto, *Yen-Wei Chen and *Yili Chen, “An Efficient Deep Learning Based Coarse-to-Fine Cephalometric Landmark Detection Method,” IEICE Trans. Information and Systems, Vol. E104-D, No.8, pp.1359-1366 (2021-8). (SCI, impact factor: 0.42) (こちら)
[5] Rahul Kumar Jain, Taro Watasue, Tomohiro Nakagawa, Takahiro Sato, Yutaro Iwamoto, Xiang Ruan and Yen-Wei Chen, “LogoNet: A Robust Layer-Aggregated Dual-Attention Anchorfree Logo Detection Framework with an Adversarial Domain Adaptation Approach,” Applied Science, 11, no.20, 9622, 2021. (Impact factor: 2.6) (こちら)
[6] Jiaqing Liu, Huiming Huang, Fang Wang, Ye Yuan, Tomoko Tateyama, Yutaro Iwamoto, Lanfen Lin, Yen-Wei Chen, “Touch-Based Interactive System for Assessment and Visualization of COVID-19,” IEICE Trans. D, 2021 (in Japanese) in press. (こちら)
[7] Shaocong Mo, Ming Cai*, Lanfen Lin*, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu*, Yutaro Iwamoto, Xian-Hua Han, and Yen-Wei Chen*, “Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation,” IEEE Trans. Circuits and Systems for Video Technology, 2021 (Accepted). (SCI, Impact factor: 4.133) (こちら)
[8] Titinunt Kitrungrotsakul, Qingqing Chen, Huitao Wu, Yutaro Iwamoto, Hongjie Hu*, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Lanfen Lin*, Ruofeng Tong, Jingsong Li, and Yen-Wei Chen*, “Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19,” IEEE Journal of Biomedical and Health Informatics, Vol.25, No.7, pp. 2363-2373 (2021-7). (SCI, Impact factor: 5.2) (こちら)
[9] Panyanet Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen, “Genotype-Guided Radiomics Signature for Recurrence Prediction of Non-Small Cell Lung Cancer,” IEEE Access, Vol.9, pp.90244 - 90254 (2021). (SCI, Impact factor: 3.745) (こちら)
[10] Yingying Xu, Ming Cai, Lanfen Lin, Yue Zhang, Hongjie Hu, Zhiyi Peng, Qiaowei Zhang, Qingqing Chen, Xiongwei Mao, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong, “PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images,” Medical Physics, Vol.48, No.7, pp.3752-3766 (2021-7). (SCI, Impact factor: 3.177) (こちら)
[11] Huo Sun, Jiaqing Liu, Shurong Chai, Zhaolin Qiu, Lanfen Lin, Xinyin Huang and Yenwei Chen, “Multi-Modal Adaptive Fusion Transformer Network for the Estimation of Depression Level,” Sensors, Vol.21, No.14, 4764 (2021) (SCI, Impact factor: 3.576) (こちら)
[12] 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, Vol.25, No.6, pp. 1873-1880 (2021-6). (SCI, Impact factor: 5.2) (こちら)
[13] 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, Vol.25, No.7, pp.2722-2732 (2021-7). (SCI, Impact factor: 5.2) (こちら)
[14] 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, Vol.22, No.91 (2021) (SCI, Impact Factor: 3.242) . (こちら)
[15] 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, Vol.26, No.1, pp.12-19 (2021-6). (こちら)
Proceedings of International Conference (with referees)
[1] Huiming Huang, * Lanfen Lin, Yue Zheng, Yingying Xu, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, *Jianying Zhou, Ruofeng Tong, *Yen-Wei Chen, Ruofeng Tong, ”Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network with Bilateral Graph Convolution,” Proc. of International Conference on Computer Vision (ICCV2021), pp. (2021). (こちら)
[2] Yu Song, Xu Qiao, Yutaro Iwamoto, Yen-Wei Chen, “A Teacher-Student Learning Based on Composed Ground-Truth Images for Accurate Cephalometric Landmark Detection,” Proc. of 2021 IEEE International Conference on Image Processing (IEEE ICIP 2021), Alaska, USA, pp.3777-3781, Sep.19-22, 2021. (こちら)
[3] Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Akira Furukawa, Shuzo Kanasaki, and Yen-Wei Chen*, “Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer,” Proc. of the 43st International Engineering in Medicine and Biology Conference (IEEE EMBC2021), Virtual, pp.?? -??, Oct. 31-Nov.4, 2021. (こちら)
[4] He Li, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin*, and Yen-Wei Chen*, “An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images,” Proc. of the 43st International Engineering in Medicine and Biology Conference (IEEE EMBC2021), Virtual, pp.?? -??, Oct. 31-Nov.4, 2021. (こちら)
[5] Huimin Huang, Nan Zhou, *Lanfen Lin, *Hongjie Hu, Yutaro Iwamoto, Han, *Yen-Wei Chen, Ruofeng Tong, “3D Graph-S2Net: Shape-Aware Self-Ensembling Network for Semi-Supervised Segmentation with Bilateral Graph Convolution,” Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Sep.27-Oct.1, 2021 (Virtual). (こちら)
[6] Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, and Ruofeng Tong, “Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance,” Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Sep.27-Oct.1, 2021 (Virtual). (こちら)
[7] Yue Zhang, Chengtao Peng, Liying Peng, Huimin Huang, Ruofeng Tong, Lanfen Lin, Jingsong Li, Yen-Wei Chen, Qingqing Chen, Hongjie Hu, and Zhiyi Peng, “Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting,” Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Sep.27-Oct.1, 2021 (Virtual). (こちら)
[8] Takato Sakai, Masataka Seo, Yen-Wei Chen, Naoki Matsushiro, “Simulation of Facial Palsy using Conditional Generative Adversarial Networks and Face Shape Normalization,” Proc. of 2021 IEEE 8th Global Conference on Consumer Electronics (GCCE 2021), Kyoto, Japan, Oct.12-15, 2021. (こちら)
[9] Tatsuno Hanano, Masataka Seo, Yen-Wei Chen, “Automatic Generation of High-Resolution Facial Expression Images with End-to-End Models Using pix2pix and SRCNN,” Proc. of 2021 IEEE 8th Global Conference on Consumer Electronics (GCCE 2021), Kyoto, Japan, Oct.12-15, 2021. (こちら)
[10] Shurong Chai, Jiaqing Liu, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen, “An Improved Conditional Generative Adversarial Network for Translation of Depth Image from Color Image and Accurate Hand Gesture Recognition,” Proc. of 2021 IEEE 8th Global Conference on Consumer Electronics (GCCE 2021), Kyoto, Japan, Oct.12-15, 2021. (こちら)
[11] 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), pp.1050-1054 (2021). (こちら)
[12] Jian Wang, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen, “A Tensor Sparse Representation-Based CBMIR System for Computer-Aided Diagnosis of Focal Liver Lesions and its Pilot Trial,” ACM International Conference on Multimedia Retrieval 2021 (ICMR 2021), Taipei, Taiwan, pp.660-666, 2021. (こちら)
[13] Yingying Xu, Jing Liu, Lanfen Lin, Hongjie Hu, Ruofeng Tong, Jingsong Li, Yen-Wei Chen, “M-DFNet: Multi-phase Discriminative Feature Network for Retrieval of Focal Liver Lesions,” ACM International Conference on Multimedia Retrieval 2021 (ICMR 2021), Taipei, Taiwan, pp.667-673, 2021. (こちら)
[14] 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), pp 241-249 (2021). (こちら)
[15] 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), pp 207-216 (2021) (こちら)
[16] 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), pp 41-49 (2021). (こちら)
[17] 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), pp 51-57 (2021). (こちら)
Proceedings of Domestic Conference (without referees)
[1] 劉家慶・柴樹榕・孫浩・黄辛隠・林蘭芬・健山智子・岩本祐太郎・陳延偉, “Transformerエンコーダを用いたうつ状態の重症度の解析とマルチモーダルアダプティブアレーの融合に関する検討,” 電子情報通信学会医用画像研究会, 信学技報, vol. 121, no. 98, MI2021-17, pp. 33-35, 2021.7.9. (こちら)
[2] 花野達也, 瀬尾昌孝, 陳延偉, “Pix2Pix とSRCNN を用いたend-to-end モデルによる高解像度の表情顔画像生成,” 第26回 日本顔学会大会(フォーラム顔学2021), O2-1, 2021.9.18. (こちら)
[3] 大津賢斗, 瀬尾昌孝, 北島利浩, 陳延偉, “Attention-GAN を用いた重要情報の効率的な伝播と視点変換動画像生成への応用,” 第26回 日本顔学会大会(フォーラム顔学2021), O2-3, 2021.9.18. (こちら)
[4] 迫間季生, 瀬尾昌孝, 陳延偉, “深層生成モデルにおける被写体変形の局所性を考慮した潜在表現分離,” 第26回 日本顔学会大会(フォーラム顔学2021), O2-4, 2021.9.18. (こちら)
[5] 酒井孝斗, 瀬尾昌孝, 松代直樹, 陳延偉, “敵対的生成モデルと顔形状正規化による顔面神経麻痺表情シミュレータの開発,” 第26回 日本顔学会大会(フォーラム顔学2021), O4-3, 2021.9.19. (こちら)
[6] 川原稔暉, 井上明星, 岩本祐太郎, 古川顕, Bolorkhand Batsaikhan, 茶谷祥平, 陳延偉, “Cine-MRIにおける小腸蠕動運動のオプティカルフローによる可視化および腹膜炎の鑑別,” 第40回 日本医用画像工学会(JAMIT2021), P4-22, 2021.10.15. (こちら)