岩本　祐太郎　Yutaro IWAMOTO　

• 所属部署
  情報通信工学部 情報工学科 准教授

• 専門分野
  画像処理、医用画像処理、機械学習

• 研究テーマ
  機械学習による画像処理・解析に関する研究

• URL

• 経歴
  • 学歴
    • 2011年 立命館大学 情報理工学部 メディア情報学科　卒業
    • 2013年 立命館大学大学院 理工学研究科 情報理工学専攻 博士前期課程 修了
    • 2017年 立命館大学大学院 情報理工学研究科 情報理工学専攻 博士後期課程 修了
  • 職歴
    • 2013～2015年 オムロン株式会社
    • 2016～2017年 立命館大学 情報理工学部 メディア情報学科 助手
    • 2017～2022年 立命館大学 情報理工学部 画像・音メディアコース 助教
    • 2022～2024年 大阪電気通信大学 情報通信工学部 情報工学科 講師
    • 2024～現在 大阪電気通信大学 情報通信工学部 情報工学科 准教授
      　

• 取得学位

博士(工学)　立命館大学 2017年3月

• 受賞、顕彰など

  <共同受賞> 医用画像情報学会 金森奨励賞, J. Liu, T. Tateyama, Y. Iwamoto, Y.-W. Chen, “A Preliminary Study of Kinect-Based Real-Time Hand Gesture Systems for Touchless Visualizations of Hepatic Structures in Surgery,”医用画像情報学会雑誌, vol. 36, no. 3, pp. 128-135, 2019.

• 所属学会

  IEEE,電子情報通信学会, 医用画像情報学会,映像情報メディア学会

岩本　祐太郎　Yutaro IWAMOTO

• 所属部署
  情報通信工学部 情報工学科 講師

• 学科・学部の運営

• 委員会、センター、研究所等の学内組織における活動
  2022年～ 図書委員

• 本学と外部の産官学機関等との連携活動

• 高大連携、オープンキャンパス、公開講座などの対外的活動
  ・高校への出張講義

• その他

岩本　祐太郎　Yutaro IWAMOTO

• 所属部署
  情報通信工学部 情報工学科 准教授

• 学部教育（講義）
  コンピュータ工学
  情報工学概論
  プログラミング応用演習2
  メディア情報処理演習
  メディア情報処理学応用
  情報工学実験1

• 大学院教育（講義）
  画像情報解析特論
  
  

• 論文等指導
  • 卒業論文等の指導: 22名
    • 2022年度: 2名
    • 2023年度: 9名
    • 2024年度: 11名
  • 修士論文等の指導: 0名
  • 博士論文等の指導: 0名

• ティーチング・ポートフォリオ

• 授業に臨む姿勢
  講義内で数式を丁寧に導出することや講義内容に関するプログラミングを通して学生により深い理解を促す講義を心掛けている。

• 教育活動自己評価

• 授業改善のための研修活動等

• 能動的学修（アクティブ・ラーニング）の取組

• 主要担当授業科目の概要と具体的な達成目標

• 具体的な達成目標に対する達成度

• 学生からの要望への対応

岩本　祐太郎　Yutaro IWAMOTO

• 所属部署
  情報通信工学部 情報工学科 准教授

• 著書

• 学術論文・作品など

1. Yulin Yang, Qingqing Chen, Yinhao Li, Fang Wang, Xian-Hua Han, Yutaro Iwamoto, Jing Liu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen, "Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images," in IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 8, pp. 4737-4750, Aug. 2024.
2. 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, Issue 1, pp. 710-723, 2024.
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, Issue 11, pp. 1262-1278, 2023.
4. Swathi Ananda, Rahul Kumar Jain, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Shuzo Kanasaki, Hongjie Hu and Yen-Wei Chen, “A boundary-enhanced liver segmentation network for multi-phase CT images with unsupervised domain adaptation,” Bioengineering, Vol. 10, No. 8, 899, 2023.
5. 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 Transactions on Information and Systems, Vol. E106-D, No. 5, pp. 1027-1037, 2023.
6. Yutaro Iwamoto, Kyohei Takeda, Yinhao Li, Akihoko 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.
7. 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. 39, pp. 2367-2379, 2023.
8. Shurong Chai, Jiaqing Liu, Rahul Kumar Jain, Tomoko Tateyama, Yutaro Iwamoto, Lanfen Lin and Yen-Wei Chen, “A multi-head pseudo nodes based spatial–temporal graph convolutional network for emotion perception from GAIT,” Neurocomputing, Vol. 511, pp. 437-447, 2022.
9. 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,” 画像電子学会誌, Vol. 51, No. 4, pp. 309-317, 2022.
10. Weibin Wang, Fang Wang, Qingqing Chen, Shuyi Ouyang, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Ruofeng Tong and 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. 2, Article 856460, 2022.
11. Huimin Huang, Qingqing Chen, Lanfen Lin, Ming Cai, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen, Ruofeng Tong and Hongjie Hu, “MTL-ABS3Net: Atlas-based semi-supervised organ segmentation network with multi-task learning for medical images,” IEEE Journal of Biomedical and Health Informatics, Vol. 26, No. 8, pp. 3988-3998, 2022.
12. 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 Transactions on Circuits and Systems for Video Technology, Vol. 32, No. 5, pp. 2512-2526, 2022.
13. 劉家慶, 黄慧敏, 王芳, 原野, 健山智子, 岩本祐太郎, 林蘭芬, 陳延偉, “タッチベースインタラクティブCOVID-19診断支援可視化システム”, 電子情報通信学会論文誌D, Vol. 105-D, No. 1, pp.89-96, 2022.
14. Jiaqing Liu, Seiju Tsujinaga, Shurong Chai, Hao Sun, Tomoko Tateyama, Yutaro Iwamoto, Xinyin Huang, Lanfen Lin and Yen-Wei Chen, “Single image depth map estimation for improving posture recognition,” IEEE Sensors Journal, Vol. 21, No. 23, pp. 26997-27004, 2021.
15. Rahul Kumar Jain, Taro Watasue, Tomohiro Nakagawa, Takahiro Sato, Yutaro Iwamoto, Xiang Ruan and Yen-Wei Chen, “LogoNet: A robust layer-aggregated dual-attention anchor free logo detection framework with an adversarial domain adaptation approach,” Applied Sciences, 11, No. 20, 9622, 2021.
16. Yingying Xu, Ming Cai, Lanfen Lin, Yue Zhang, Hongjie Hu, Zhiyi Peng, Qiaowei Zhang, Qingging Chen, Xiongwei Mao, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen and Ruofeng Tong, “PA-ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images,” Medical Physics, Vol. 48, No. 7, pp. 3752-3766, 2021.
17. 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 Transactions on Information and Systems, Vol. E104-D, No. 8, pp. 1359-1366, 2021.
18. Huimin 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 Transactions on Medical Imaging, Vol. 40, No. 12, pp. 3519-3530, 2021.
19. Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin and Yen-Wei Chen, “Genotype-guided radiomics signatures for recurrence prediction of non-small cell lung cancer,” IEEE Access, Vol. 9, pp. 90244-90254, 2021.
20. 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.
21. Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Rui Xu, Ruofeng Tong and Yen-Wei Chen, “VolumeNet: a lightweight parallel network for super-resolution of MR and CT volumetric data,” IEEE Transactions on Image Processing, Vol. 30, pp. 4840-4854, 2021.
22. Titinunt Kitrungrotsakul, Xian-Hau Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong and Yen-Wei Chen, “A cascade of 2.5D CNN and bidirectional CLSTM network for mitotic cell detection in 4D microscopy image,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 18, No. 2, pp. 396-404, 2021.
23. 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, Article No. 91, 17 pages, 2021.
24. Liying Peng, Lanfen Lin, Hongjie Hu, Yue Zhang, Huali Li, Yutaro Iwamoto, Xianhua Han and Yen-Wei Chen, “Semi-supervised learning for semantic segmentation of emphysema with partial annotations,” IEEE Journal of Biomedical and Health Informatics, Vol. 24, No. 8, pp. 2327-2336, 2020.
25. Weibin Wang, Qingqinng Chen, Yutaro Iwamoto, Panyanat Aonpong, Lanfen Lin, Hongjie Hu, Qiaowei Zhang and Yen-Wei Chen, “Deep fusion models of multi-phase CT and selected clinical data for preoperative prediction of early recurrence in hepatocellular carcinoma,” IEEE Access, Vol. 8, pp. 139212-139220, 2020.
26. Kenji Ono, Yutaro Iwamoto, Yen-Wei Chen and Masahiro Nonaka, “Automatic segmentation of infant brain ventricles with hydrocephalus in MRI based on 2.5D U-Net and transfer learning,” Journal of Image and Graphics, Vol. 8, No. 2, pp. 42-46, 2020.
27. Titinunt Kitrungrotsakul, Xian-Hau Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong and Yen-Wei Chen, “An end-to-end CNN and LSTM network with 3D anchors for mitotic cell detection in 4D microscopic images and its parallel implementation on multiple GPUs,” Neural Computing and Applications, Vol. 32, pp. 5669-5679, 2020.
28. Yu Song, Xu Qiao, Yutaro Iwamoto and Yen-Wei Chen, “Automatic cephalometric landmark detection on X-ray images using a deep-learning method,” Applied Sciences, Vol. 10, Issue 7, Article No. 2547, 16 pages, 2020.
29. Yutaro Iwamoto, Naoaki Hashimoto and Yen-Wei Chen, “Real-time haze removal using normalised pixel-wise dark-channel prior and robust atmospheric-light estimation,” Applied Sciences, Vol. 10, Issue3, Article No. 1165, 13 pages, 2020.
30. Ryosuke Sato, Yutaro Iwamoto, Kook Cho, Do-Young Kang and Yen-Wei Chen, “Accurate BAPL score classification of brain PET images based on convolutional neural networks with a joint discriminative loss function,” Applied Sciences, Vol.10, Issue 3, Article No. 965, 13 pages, 2020.
31. Jian Wang, Jing Li, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, Yutaro Iwamoto and Yen-Wei Chen, “Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions,” Pattern Recognition Letter, Vol. 130, pp. 207-215, 2020.
32. Dong Liang, Yingying Xu, Lanfeng Lin, Nan Zhou, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Xianhua Han, Yutaro Iwamoto and Yen-Wei Chen, “CasCRNN-GL-Net: cascaded convolutional and recurrent neural networks with global and local pathways for classification of focal liver lesions in multi-phase CT images,” Communications in Information and Systems, Vol. 20, No. 4, pp. 415-442, 2020.
33. Panyanat Aonpong, Qingqin Chen, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu, Qiaowei Zhang and Yen-Wei Chen, “Comparison of machine learning-based radiomics models for early recurrence prediction of hepatocellular carcinoma,” Journal of Image and Graphics, Vol. 7, No. 4, pp. 117-125, 2019.
34. Kazuki Otsuki, Yutaro Iwamoto, Yen-Wei Chen, Akira Furukawa and Shuzo Kanasaki, “Cine-MR image segmentation for assessment of small bowel motility function using 3D U-Net,” Journal of Image and Graphics, Vol. 7, No. 4, pp. 134-139, 2019.
35. Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Xiaoli Ling, Dan Wang, Xianhua Han, Yutaro Iwamoto and Yen-Wei Chen, “Classification and quantification of emphysema using a multi-scale residual network,” IEEE Journal of Biomedical and Health Informatics, Vol. 23, No..6, pp. 2526-2536, 2019.
36. Yinhao Li, Katsuhisa Ogawa, Yutaro Iwamoto and Yen-Wei Chen, “Novel image restoration method based on multi-frame super-resolution for atmospherically distorted images,” IET Image Processing, Vol. 14, Issue 1, pp. 168-175, 2019.
37. Jia-Qing Liu, Tomoko Tateyama, Yutaro Iwamoto and Yen-Wei Chen, “A preliminary study of Kinect-based real-time hand gesture interaction systems for touchless visualizations of hepatic structures in surgery,” Medical Imaging and Information Sciences（医用画像情報学会雑誌）, Vol. 36, No. 3, pp. 128-135, 2019.
38. Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Lanfen Lin, Amir Hossein Foruzan, Xiong Wei and Yen-Wei Chen, “VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation,” Computerized Medical Imaging and Graphics, Vol. 75, pp. 74-83, 2019.
39. Jiaqing Liu, Kotaro Furusawa, Tomoko Tateyama, Yutaro Iwamoto and Yen-Wei Chen, “An improved Kinect-based real-time gesture recognition using deep convolutional neural networks for touchless visualization of hepatic anatomical models in surgery,” Journal of Image and Graphics, Vol. 7, No. 2, pp. 45-49, 2019.
40. Yuki Enokiya, Yutaro Iwamoto, Xian-Hua Han and Yen-Wei Chen, “Automatic liver segmentation using U-Net with Wasserstein GANs,” Journal of Image and Graphics, Vol. 6, No. 2, pp. 152-159, 2018.
41. Yinhao Li, Yutaro Iwamoto, Katsuhisa Ogawa and Yen-Wei Chen, “Computer simulation of image distortion by atmospheric turbulence using time-series image data with 250-million-pixels,” International Journal on Computer Electrical Engineering, Vol. 10, No. 1, pp. 53-61, 2018.
42. Jia-Qing Liu, Ryoma Fujii, Tomoko Tateyama, Yutaro Iwamoto and Yen-Wei Chen, “Kinect-based gesture recognition for touchless visualization of medical images,” International Journal on Computer Electrical Engineering, Vol. 9, No. 2, pp. 421-429, 2017.
43. 岩本祐太郎, 韓先花, 椎野顕彦, 陳延偉, “スパース表現と自己相似性を用いた三次元医用画像の超解像処理”, 電子情報通信学会論文誌D, Vol. J98-D, No. 10, pp. 1312-1324, 2015.
44. 谷口和輝, 韓先花, 大橋基範, 岩本祐太郎, 笹谷聡, 陳延偉, “多様体学習法と事例ベース法を融合した超解像技術とその高速化”, 電気学会論文誌C, Vol. 132, No. 11, pp. 1768-1773, 2012.
45. 岩本祐太郎, 韓先花, 健山智子, 大橋基範, 笹谷聡, 陳延偉, “勾配情報に基づくエッジ保存補間と超解像技術への応用”, 電気学会論文誌C, Vol. 131, No. 11, pp. 1901-1906, 2011.

• レター：

1. Rahul Kumar Jain, Yutaro Iwamoto, Taro Watasue, Tomohiro Nakagawa, Takahiro Sato, Xiang Ruan and Yen-Wei Chen, “Weakly supervised logo detection using a dual-attention dilated residual network,” IIEEJ Transactions on Image Electronics and Visual Computing, Vol. 9, No. 1, pp. 12-19, 2021.

• 解説・総説：

1. 岩本祐太郎, 埜中正博, 陳延偉, "深層学習を用いた小児水頭症患者の脳室セグメンテーション," 日本放射線技術学会雑誌, 80巻, 8号, pp.861-866, 2024.
2. 岩本祐太郎, 陳延偉, “圧縮センシングの周辺－超解像や画質改善－,” Medical Imaging Technology, Vol. 34, No. 4, pp. 209-216, 2016.
3. 岩本祐太郎, 陳延偉, “スパース表現と自己相似性を用いた三次元医用画像の超解像処理,” 画像ラボ, 10月号, 日本工業出版株式会社, 2016.

• 国際会議(査読あり)

1. Hikari Maeda, Yutaro Iwamoto, Masahiro Nonaka, Yinhao Li, Yen-Wei Chen, "A Multi-View Weighted Fusion Model for Segmentation of Infant Brain Ventricles With Hydrocephalus in MRI," 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE), pp. 723-730, 2023.
2. Rahul Kumar Jain, Takahiro Sato, Ahmed M. EI-sayed, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Hua Hu, Xiang Ruan and Yen-Wei Chen, “Unsupervised domain adaptation using Fourier phase enhanced training images for liver tumor detection in multi-phase CT images,” 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023.
3. Kazuki Takamiya, Yutaro Iwamoto, Masahiro Nonaka, Yen-Wei Chen, “CT Brain Image Synthesization from MRI Brain Images Using CycleGAN,” 2023 IEEE International Conference on Consumer Electronics (ICCE), pp. 1-4, January, 2023.
4. He Li, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Hongjie Hu and Yen-Wei Chen, “An accurate unsupervised liver lesion detection method using pseudo-lesions,” International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 214-223, Cham: Springer Nature Switzerland, 2022.
5. 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,” Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI), pp. 964-971, 2022.
6. Swathi Ananda, Yutaro Iwamoto, Xian-Hua 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,” 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1552-1555, July, 2022.
7. Rahul Kumar Jain, Takahiro Sato, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Xian-Hua 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,” 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 1536-1539, July, 2022.
8. Yang Ai, Panyanat Aonpong, Weibin Wang, Yinhao Li, Yutaro Iwamoto, Xian Hua Han and Yen-Wei Chen, “Residual multilayer perceptrons for genotype-guided recurrence prediction of non-small cell lung cancer,” 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 447-450, July, 2022.
9. 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,” 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 198-202, July, 2022.
10. Yulin Yang, Yutaro Iwamoto, Yen-Wei Chen, Caie Xu, Qingqing Chen, Hongjie Hu, Xian-Hua Han, Ruofeng Tong and Lanfen Lin, “Synthesizing contrast-enhanced computed tomography images with an improved conditional generative adversarial network,” 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 2097-2100, July, 2022.
11. Rahul Kumar Jain, Takahiro Sato, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Xian-Hua 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,” Innovation in Medicine and Healthcare: Proceedings of 10th KES-InMed 2022, Vol. 308. pp. 149-159, Springer, July, 2022.
12. 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,” Innovation in Medicine and Healthcare: Proceedings of 10th KES-InMed 2022, Vol. 308, pp. 141-148, Springer, July, 2022.
13. Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen and Ruofeng Tong, “Mixed transformer U-Net for medical image segmentation,” ICASSP 2022 – 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2390-2394, May, 2022.
14. Masaya Okano, Jia-Qing Liu, Tomoko Tateyama, Yutaro Iwamoto and Yen-Wei Chen, “Accurate hand gesture recognition using color and depth images with modality-invariant fusion,” 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE), pp. 645-648, October, 2022.
15. Kazuma Okada, Yutaro Iwamoto, Yinhao Li and Yen-Wei Chen, “Automatic reference image selection approach for reference-based image super-resolution,” 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE), pp. 641-644, October, 2022.
16. Tomoya Komiyama, Yinhao Li, Yen-Wei Chen, Yu Song and Yutaro Iwamoto, “Three dimensional microscope image super-resolution using deep learning and self-similarity,” 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE), pp. 637-640, October, 2022.
17. So Sasatani, Yutaro Iwamoto and Yen-Wei Chen, “Frame attention recurrent back-projection network for accurate video super-resolution,” 2022 IEEE International Conference on Consumer Electronics (ICCE), pp. 01-05, January, 2022.
18. Gan Zhan, Yutaro Iwamoto and Yen-Wei Chen, “HyperUnet for medical hyperspectral image segmentation on a choledochal database,” 2022 IEEE International Conference on Consumer Electronics (ICCE), pp. 01-05, January, 2022.
19. He Li, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Akira Furukawa, Shuzo Kanasaki and Yen-Wei Chen, “A weakly-supervised anomaly detection method via adversarial training for medical images,” 2022 IEEE International Conference on Consumer Electronics (ICCE), pp. 01-04, January, 2022.
20. Toshiki Kawahara, Akitoshi Inoue, Yutaro Iwamoto, Bolorkh Batsaikhan, Shohei Chatani, Akira Furukawa and Yen-Wei Chen, “Identification of peritonitis using two-stream deep spatial-temporal convolutional network,” 2022 IEEE International Conference on Consumer Electronics (ICCE), pp. 01-04, January, 2022.
21. Mizuki Kato, Yutaro Iwamoto, Yen-Wei Chen, Toru Aiba and Toshitaka Sugimoto, “Fault detection of electric motor coil by YOLOv3 with spatial attention,” 2022 IEEE International Conference on Consumer Electronics (ICCE), pp. 01-04, January, 2022.
22. Hikari Jinbo, Yutaro Iwamoto, Masahiro Nonaka and Yen-Wei Chen, “Automatic segmentation of infant brain ventricles with hydrocephalus in MRI based on deep multi-path learning,” 2022 IEEE International Conference on Consumer Electronics (ICCE), pp. 01-04, January, 2022.
23. Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin and Yen-Wei Chen, “Improved genotype-guided deep radiomics signatures for recurrence prediction of non-small cell lung cancer,” 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 3561-3564, 2021.
24. He Li, Yutaro Iwamoto, Xin-Hua Han, Akira Furukawa, Shuzo Kanasaki and Yen-Wei Chen, “An efficient and accurate 3d multiple-contextual semantic segmentation network for medical volumetric images,” 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 3309-3312, 2021.
25. Shurong Chai, Jiaqing Liu, Tomoko Tateyama, Yutaro Iwamoto and Yen-Wei Chen, “An improved conditional generative adversarial network for translating depth image from color image and accurate hand gesture recognition,” 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE), pp. 789-792, 2021.
26. 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 (MICCAI2021), Vol. 12901, pp. 131-141, 2021.
27. Huimin Huang, Nan Zhou, Lanfen Lin, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen and 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 (MICCAI2021), Vol. 12902, pp. 416-427, 2021.
28. Yu Song, Xu Qiao, Yutaro Iwamoto and Yen-Wei Chen, “A teacher-student learning based on composed ground-truth images for accurate cephalometric landmark detection,” Proc. of IEEE International Conference on Image Processing (ICIP2021), pp. 3777-3781, 2021.
29. 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 and 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.
30. Jian Wang, Junlin Zhao, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, Yutaro Iwamoto and Yen-Wei Chen, “Automated retrieval of focal liver lesions in multi-phase CT images using tensor sparse representation,” Innovation in Medicine and Healthcare. Smart Innovation, Systems and Technologies (Proc. of InMed2021), Vol. 242, pp. 217-227, 2021.
31. Haohua Dong, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiujun Cai and Yen-Wei Chen, “Case discrimination: self-supervised feature learning for the classification of focal liver lesions,” Innovation in Medicine and Healthcare, Smart Innovation, Systems and Technologies (Proc. of InMed2021), Vol. 242, pp. 241-249, 2021.
32. Toshiki Kawahara, Akitoshi Inoue, Yutaro Iwamoto, Akira Furukawa and Yen-Wei Chen, “Computer-aided diagnosis of peritonitis on cine MRI using deep optical flow network,” Innovation in Medicine and Healthcare, Smart Innovation, Systems and Technologies (Proc. of InMed2021), Vol. 242, pp. 207-216, 2021.
33. Panyanat Aonpong, Yutaro Iwamoto, Weibin Wang, Lanfen Lin and Yen-Wei Chen, “Genomics-based models for recurrence prediction of non-small cells lung cancers,” Innovation in Medicine and Healthcare, Smart Innovation, Systems and Technologies (Proc. of InMed2021), Vol. 242, pp. 41-49, 2021.
34. 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,” Innovation in Medicine and Healthcare, Smart Innovation, Systems and Technologies (Proc. of InMed2021), Vol. 242, pp. 51-57, 2021.
35. Ryo Hasegawa, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiujun Cai and Yen-Wei Chen, “Automatic detection and segmentation of liver tumors in multi-phase CT images by phase attention Mask R-CNN,” Proc. of 39th IEEE International Conference on Consumer Electronics (IEEE ICCE2021), pp. 1-5, 2021.
36. Rahul Kumar Jain, Taro Watasue, Tomohiro Nakagawa, Takahiro Sato, Yutaro Iwamoto, Xiang Ruan and Yen-Wei Chen, “LogoNet layer-aggregated attention CenterNet for logo detection,” Proc. of 39th IEEE International Conference on Consumer Electronics (IEEE ICCE2021), pp. 1-6, 2021.
37. Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han and Yen-Wei Chen, “Multimodal priors guided segmentation of liver lesions in MRI using mutual information based graph co-attention networks,” Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), Vol. 12264, pp. 429-438, 2020.
38. Yinhao Li, Yutaro Iwamoto and Yen-Wei Chen, “A 3D shrinking-and-expanding module with channel attention for efficient deep learning-based super-resolution,” Innovation in Medicine and Healthcare, Smart Innovation, Systems and Technologies (Proc. of InMed2020), Vol. 192, pp. 117-125, 2020.
39. Panyanat Aonpong, Yutaro Iwamoto, Weibin Wang, Lanfen Lin and Yen-Wei Chen, “Hand-crafted and deep learning-based radiomics models for recurrence prediction of non-small cells lung cancers,” Innovation in Medicine and Healthcare, Smart Innovation, Systems and Technologies (Proc. of InMed2020), Vol. 192, pp. 135-144, 2020.
40. Huiming Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen and Jian Wu, “UNet 3+: a full-scale connected UNet for medical image segmentation,” Proc. of the 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP2020), pp. 1055-1059, 2020.
41. Huiming Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen and Jian Wu, “WNET: an end-to-end atlas-guided and boundary-enhanced network for medical image segmentation,” Proc. of IEEE International Symposium on Biomedical Imaging (IEEE ISBI2020), pp. 763-766, 2020.
42. Toshiki Kawahara, Yinhao Li, Yutaro Iwamoto, Lanfen Lin and Yen-Wei Chen, “A lightweight deep network for 3D medical image segmentation,” Proc. of 2020 IEEE 8th Global Conference on Consumer Electronics (GCCE 2020), pp. 663-666, 2020.
43. Hikari Jinbo, Titinunt Kitrungrotsaku, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu and Yen-Wei Chen, “Development of an interactive semantic medical image segmentation system,” Proc. of 2020 IEEE 8th Global Conference on Consumer Electronics (GCCE 2020), pp. 678-681, 2020.
44. Yusuke Yoshinobu, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Qiaowei Zhang and Yen-Wei Chen, “Deep learning method for content-based retrieval of focal liver lesions using multiphase contrast-enhanced computer tomography images,” Proc. of 38th IEEE International Conference on Consumer Electronics (IEEE ICCE2020), pp. 1-4, 2020.
45. Yohei Takeda, Yutaro Iwamoto and Yen-Wei Chen, “Color guided depth map super-resolution based on a deep self-learning approach,” Proc. of 38th IEEE International Conference on Consumer Electronics (IEEE ICCE2020), pp. 1-4, 2020.
46. Han Zheng, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong and Jian Wu, “Semi-supervised segmentation of liver using adversarial learning with deep atlas prior,” Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), LNCS11769, pp. 148-156, 2019.
47. Ryo Hasegawa, Yutaro Iwamoto and Yen-Wei Chen, “Robust detection and recognition of Japanese traffic sign in the complex scenes based on deep learning,” Proc. of 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019), pp. 575-578, 2019.
48. Jiaqing Liu, Kotaro Furusawa, Tomoko Tateyama, Yutaro Iwamoto and Yen-Wei Chen, “An improved hand gesture recognition with two-stage convolutional neural networks using a hand color image and its pseudo-depth image,” Proc. of 2019 IEEE International Conference on Image Processing (IEEE ICIP 2019), pp. 375-379, 2019.
49. Xiao Chen, Lanfen Lin, Dong Liang, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong and Jian Wu, “A dual-attention dilated residual network for liver lesion classification and localization on CT images,” Proc. of 2019 IEEE International Conference on Image Processing (IEEE ICIP 2019), pp. 235-239, 2019.
50. Dong Liang, Lanfen Lin, Xiao Chen, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong and Jian Wu, “Multi-stream scale-insensitive convolutional and recurrent neural networks for liver tumor detection in dynamic CT images,” Proc. of 2019 IEEE International Conference on Image Processing (IEEE ICIP 2019), pp. 794-798, 2019.
51. Weibin Wang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Qiaowei Zhang, Hongjie Hu, Lanfen Lin and Yen-Wei Chen, “Deep learning-based radiomics models for early recurrence prediction of hepatocellular carcinoma with multi-phase CT images and clinical data,” Proc. of the 41st International Engineering in Medicine and Biology Conference (EMBC2019), pp. 4881-4884, 2019.
52. Yoshihiro Todoroki, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu and Yen-Wei Chen, “Automatic detection of focal liver lesions in multi-phase CT images using a multi-channel & multi-scale CNN,” Proc. of the 41st International Engineering in Medicine and Biology Conference (EMBC2019), pp. 872-875, 2019.
53. Yutaro Iwamoto, Kun Xiong, Takahiro Kitamura, Xian-Hua Han, Naoki Matsushiro, Hiroshi Nishimura and Yen-Wei Chen, “Automatic segmentation of the paranasal sinus from computer tomography images using a probabilistic atlas and a fully convolutional network,” Proc. of the 41st International Engineering in Medicine and Biology Conference (EMBC2019), pp. 2789-2792, 2019.
54. Kotaro Furusawa, Jiaqing Liu, Seiju Tsujinaga, Tomoko Tateyama, Yutaro Iwamoto and Yen-Wei Chen, “Robust hand gesture recognition using multimodal deep learning for touchless visualization of 3D medical images,” Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Vol. 1074, pp. 593-600, 2019.
55. Ziyu Zhao, Yutaro Iwmoto, Yuji Tezuka, Hiroki Okada, Kiyosumi Maeda, Atsuyuki Wada, Atsunori Kashiwagi and Yen-Wei Chen, “Automatic Segmentation of visible epicardium using deep learning in CT image,” Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Vol. 1074, pp. 577-584, 2019.
56. Yu Song, Xu Qiao, Yutaro Iwamoto and Yen-Wei Chen, “Semi-automatic cephalometric landmark detection on X-ray images using deep learning method,” Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Vol. 1074, pp. 585-592, 2019.
57. Huimin Huang, Zhiyuan Ji, Lanfen Lin, Ziliang Liao, Qingqing Chen, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Yen-Wei Chen, Ruofeng Tong and Jian Wu, “Multiphase focal liver lesions classification with combined N-gram and BoVW,” Innovation in Medicine and Healthcare Systems, and Multimedia. Smart Innovation, Systems and Technologies (Proc. of InMed2019), Vol. 145, pp. 81-91, 2019.
58. Ryosuke Sato, Yutaro Iwamoto, Kook Cho, Do-Young Kang and Yen-Wei Chen, “Comparison of CNN models with different plane images and their combinations for classification of Alzheimer’s disease using PET images,” Innovation in Medicine and Healthcare Systems, and Multimedia. Smart Innovation, Systems and Technologies, Vol. 145, pp. 169-177, 2019.
59. Titinunt Kitrungrotsakul, Yutaro Iwamoto, Xian-Hau Han, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Wei Xiong and Yen-Wei Chen, “A cascade of CNN and LSTM network with 3D anchors for mitotic cell detection in 4D microscopic image,” Proc. of the 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP2019), pp. 1239-1243, 2019.
60. Shohei Yonetsu, Yutaro Iwamoto and Yen-Wei Chen, “Two-stage YOLOv2 for accurate license-plate detection in complex scenes,” Proc. of IEEE 37th International Conference on Consumer Electronics (IEEE ICCE2019), pp. 1-4, 2019.
61. Jia-Qing Liu, Kotaro Furusawa, Seiju Tsujinaga, Tomoko Tateyama, Yutaro Iwamoto and Yen-Wei Chen, “MaHG-RGBD: a multi-angle view hand gesture RGB-D dataset for deep learning based gesture recognition and baseline evaluations,” Proc. of IEEE 37th International Conference on Consumer Electronics (IEEE ICCE2019), pp. 1-4, 2019.
62. Weibin Wang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Qingqing Chen, Dong Liang, Lanfen Lin, Hongjie Hu and Qiaowei Zhang, “Classification of focal liver lesions using deep learning with fine-tuning,” Proc. of International Conference on Digital Medicine and Image Processing (DMIP2018), pp. 56-60, 2018.
63. Seiju Tsujinaga, Nobuo Yamaguchi, Jiaqing Liu, Tomoko Tateyama, Yutaro Iwamoto and Yen-Wei Chen, “Interactive virtual campus tour system using skeleton information from Kinect,” Proc. of 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), pp. 47-50, 2018.
64. Kun Xiong, Takahiro Kitamura, Yutaro Iwamoto, Xian-Hua Han, Naoki Matsushiro, Hiroshi Nishimura and Yen-Wei Chen, “Semi-automatic segmentation of paranasal sinus from CT images using fully convolutional networks,” Proc. of 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), pp. 268-269, 2018.co
65. Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han and Yen-Wei Chen, “Combining convolutional and recurrent neural networks for classification of focal liver lesions in multi-phase CT images,” Proc. of 21st International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI2018), Vol. 11071, pp. 666-675, 2018.
66. Yutaro Iwamoto, Naoaki Hashimoto and Yen-Wei Chen, “Fast dark channel prior based haze removal from a single image,” Proc. of the 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD2018), pp. 458-461, 2018.
67. Titinunt Kitrungrotsakul, Xian-Hau Han, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Xiong Wei and Yen-Wei Chen, “A 2.5D cascaded convolutional neural network with temporal information for automatic mitotic cell detection in 4D microscopic images,” Proc. of the 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD2018), pp. 202-205, 2018.
68. Kazuki Otsuki, Akira Furukawa, Shuzo Kanasaki, Yutaro Iwamoto, Tomoko Tateyama and Yen-Wei Chen, “Automated assessment of small bowel motility function based on feature point tracking,” Proc. of the 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD2018), pp. 437-440, 2018.
69. Titinunt Kitrungrotsakul，Yutaro Iwamoto, Xian-Hua Han, Xiong Wei, Lanfen Lin, Hongjie Hu, Huiyan Jiang and Yen-Wei Chen, “Interactive liver segmentation in CT volumes using fully convolutional networks,” Intelligent Interactive Multimedia System and Services (Proc. of IIMSS-18), pp. 216-222, 2018.
70. Jia-Qing Liu, Tomoko Tateyama, Yutaro Iwamoto and Yen-Wei Chen, “Kinect-based real-time gesture recognition using deep convolutional neural networks for touchless visualization of hepatic anatomical models in surgery,” Intelligent Interactive Multimedia System and Services (Proc. of IIMSS-18), pp. 223-229, 2018.
71. Yutaro Iwamoto, Xian-Hua Han, Akihiko Shiino and Yen-Wei Chen, “Fast super-resolution with iterative-guided back projection for 3D MR images,” Proc. of SPIE Medical Imaging, Vol. 10574, pp. 452-459, 2018.
72. Kyohei Takeda, Yutaro Iwamoto, Keisuke Uemura, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato and Yen-Wei Chen, “Reconstruction of micro CT-like images from clinical CT based on machine learning: a preliminary study,” Proc. of SPIE Medical Imaging, Vol. 10573, pp. 833-839, 2018.
73. Yinhao Li, Yutaro Iwamoto, Katsuhisa Ogawa and Yen-Wei Chen, “Multi-frame super resolution using frame selection and multiple fusion for 250 million pixel images,” Proc. of IEEE International Conference on Consumer Electronics (IEEE ICCE2018), pp. 1-4, 2018.
74. Yoshihiro Todoroki, Xian-Hua Han, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu and Yen-Wei Chen, “Detection of liver tumor candidates from CT images using deep convolutional neural networks,” Innovation in Medicine and Healthcare 2017, Vol. 71, pp. 140-145, 2017.
75. Titinunt Kitrungrotsakul，Xian-Hua Han, Yutaro Iwamoto and Yen-Wei Chen, “Automatic and robust vessel segmentation in CT volumes using submodular constrained graph,” Innovation in Medicine and Healthcare 2017, Vol. 71, pp. 57-66, 2017.
76. Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Wei Xiong, Lanfen Lin and Yen-Wei Chen, “Robust hepatic vessel segmentation using multi deep convolution networks,” Proc. of SPIE Medical Imaging, Vol. 1013711, pp. 269-274, 2017.
77. Yutaro Iwamoto, Xian-Hua Han, Akihiko Shiino and Yen-Wei Chen, “Super-resolution of 3D MR images and its application to brain segmentation,” The 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2016), pp. 838-841, 2016.
78. Katsuhisa Ogawa, Yuri Yamaguchi, Yutaro Iwamoto, Xian-Hua Han and Yen-Wei Chen, “SIFT-based multi-frame super resolution for 250 million pixel images,” The 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2016), pp. 834-837, 2016.
79. Yutaro Iwamoto, Xian-Hua Han, Akihiko Shiino and Yen-Wei Chen, “A Comparison of Two Approaches for Multi-Volume Super Resolution in MRI,” Proc. of the Korea-Japan joint workshop on Frontiers of Computer Vision (FCV), pp.56-60, 2016.
80. Xian-Hua Han, Yutaro Iwamoto, Akihiko Shino and Yen-Wei Chen, “Robust isotropic super-resolution by maximizing a Laplace posterior for MRI volumes,” Proc. of SPIE Medical Imaging, Vol. 9034, pp. 639-647, 2014.
81. Yutaro Iwamoto, Xian-Hua Han, So Sasatani, Kazuki Taniguchi, Wei Xiong and Yen-Wei Chen, “Super-resolution of MR volumetric images using sparse representation and self-similarity,” Proc. of 21st International Conference on Pattern Recognition (ICPR 2012), pp. 3758-3761, 2012.
82. Kazuki Taniguchi, Xian-Hua Han, Yutaro Iwamoto, So Sasatani and Yen-Wei Chen, “Image super-resolution based on locality-constrained linear coding,” Proc. of 21st International Conference on Pattern Recognition (ICPR 2012), pp. 1948-1951, 2012.
83. Kazuki Taniguchi, Motonori Ohashi, Xian-Hua Han, Yutaro Iwamoto, So Sasatani and Yen-Wei Chen, “Example-based super-resolution using locally linear embedding,” Proc. of 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT2011), pp. 861-865, 2011.
84. Yutaro Iwamoto, Xian-Hua Han, So Sasatani, Kazuki Taniguchi and Yen-Wei Chen, “Super-resolution of medical volumes based on principal component regression,” Proc. of 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT2011), pp. 945-948, 2011.
85. So Sasatani, Xian-Hua Han, Takanori Igarashi, Motonori Ohashi, Yutaro Iwamoto and Yen-Wei Chen, “High frequency compensated face hallucination,” Proc. of IEEE International Conference on Image Processing (ICIP2011), pp. 1529-1532, 2011.

• 国内会議、発表会、コンクールなど(査読なし)

1. 竹本有紀, 岩本祐太郎,埜中正博, 陳延偉, 徐剛, "StarGan v2を用いたMR画像からのCT画像生成," 第151回数理モデル化と問題解決研究発表会, 12月, 2024.
2. Hikari Maeda, Yutaro Iwamoto, Masahiro Nonaka, Yinhao Li, Rahul Kumar Jain, Yen-Wei Chen, "Volume Ensembling to Enhance Zero-Shot 3D Brain Ventricle Segmentation Using Task Support Sets," 2024 International Workshop on Intelligent Image Processing and Pattern Recognition, pp.1-4, Aug. 2024.
3. 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," 2024 International Workshop on Intelligent Image Processing and Pattern Recognition, pp. 43-46, Aug. 2024.
4. 殿山雄大, 岩本祐太郎, "Latent Diffusion Modelsを用いたデータ拡張による医用画像セグメンテーションの精度向上," ViEW2023, IS3-7, pp.410-412, 2023.
5. 中伊吹，李印豪，岩本祐太郎，手塚祐司，岡田裕貴，前田清澄，和田幸，柏木厚典，陳延偉, "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2023.
6. Yutaro Iwamoto, "Medical Image Super Resolution Using Deep Learning, " Invited Talk(招待講演), 2023 6th International Conference on Digital Medicine and Image Processing, 2023.
7. Yutaro Iwamoto, “The development of infant brain ventricle segmentation system using deep learning,” International Workshop on Intelligent Image Processing, Aug,. 2023.
8. 宋裕, 郷達明, 岩本祐太郎, 近藤洋平, 中島敬二, 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, 2023年3月.
9. Yu Song, Yutaro Iwamoto, Tatsuaki Goh, Yohei Kondo, Keiji Nakajima and 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.
10. Rahul Kumar Jain, Takahiro Sato, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Xian Hua Han, Lanfen Lin, Hongjie Hu and 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, 2022年7月.
11. Swathi Ananda, Yutaro Iwamoto, Xian Hua Han, Lanfen Lin, Hongjie Hu and 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.
12. He Li, Yutaro Iwamoto, Xian Hua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Akira Furukawa, Shuzo Kanasaki and 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.
13. 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.
14. 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, “腹部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.
15. LEE Chan-yu, Yutaro Iwamoto, Yen-Wei Chen, “Improved mask R-CNN with deformable convolutions for accurate liver lesion detection in CT images,” 映像メディア情報学会メディア工学研究会（ME）, 映情学技報, Vol. 45, no. 39, ME2021-92, pp. 17-19, 2021.12.13.
16. 時暁宇, 張昕然, 岩本祐太郎, Jinliang Cheng, Jie Bai, Guohua Zhao, 陳延偉, “深層学習とRadiomicsの融合による脳膠腫IDH遺伝子変異予測,” 映像メディア情報学会メディア工学研究会（ME）, 映情学技報, Vol. 45, no. 39, ME2021-93, pp. 21-24, 2021.12.13.
17. 木下将児, 陳延偉, 健山智子, 岩本祐太郎, 劉家慶, 柴樹溶, “Attention Spatial-Temporal Graph Convolutional Network を用いた歩行からの感情認識,” 映像メディア情報学会メディア工学研究会（ME）, 映情学技報, Vol. 45, No. 39, ME2021-94, pp. 25-28, 2021.12.13.
18. 岡野雅也，劉家慶，古澤康太郎，健山智子，岩本祐太郎，陳延偉, “RGB-D画像を用いた高精度な実時間ジェスチャ認識,” 令和3年電気関係学会関西連合大会, G13-3, 2021.12.4.
19. Deng Zeping，Song Yu，岩本祐太郎，郷達明，近藤洋平，中島敬二，陳延偉, “U-NETを用いた植物顕微鏡画像における細胞セグメンテーションと分裂細胞の検出,” 令和3年電気関係学会関西連合大会, G12-5, 2021.12.4.
20. Rahul Kumar Jain, Takahiro Sato, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Xiang Ruan, Yen-Wei Chen, “Unsupervised logo detection using adversarial learning from synthetic to real images,” 電子情報通信学会パターン認識・メディア理解研究会 (PRMU) , 信学技報, Vol. 121, No. 304, PRMU2021-31, pp. 43-44, 2021.12.16.
21. Weibin Wang, Fang Wang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, “Prediction model of early recurrence of hepatocellular carcinoma based on deep learning with attention module,” 電子情報通信学会パターン認識・メディア理解研究会 (PRMU) , 信学技報, Vol. 121, No. 304, PRMU2021-59, pp. 195-198, 2021.12.17.
22. 高宮一樹, 岩本祐太郎, Kook Cho, Do-Young Kang, 陳延偉, “Dual-Discriminatorを用いた敵対的生成ネットワークの医用画像への応用：アルツハイマー病分類のためのCT画像からの疑似PET画像の生成,” 生体画像と医用人工知能研究会 第4回若手発表会, 2022.3.10.
23. 時暁宇, 張昕然, 岩本祐太郎, Jinliang Cheng, Jie Bai, Guohua Zhao, 陳延偉, “MR画像のモダリティ内とモダリティ間の統合による脳膠腫IDH遺伝子変異状態予測,” 生体画像と医用人工知能研究会 第4回若手発表会, 2022.3.10.
24. Yang Ai, Panyanat Aonpong, Weibin Wang, Yinhao Li, Yutaro Iwamoto, Xianhua Han and Yen-Wei Chen, “Genotype-guided recurrence prediction of non-small cell lung cancer using residual multilayer perceptrons,” 生体画像と医用人工知能研究会 第4回若手発表会, 2022.3.10.
25. Yulin Yang, Caie Xu, Qingqing Chen, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Ruofeng Tong and Yen-Wei Chen, “An improved conditional generative adversarial network for synthesizing contrast-enhanced computed tomography images,” 生体画像と医用人工知能研究会 第4回若手発表会, 2022.3.10.
26. 劉家慶, 黄越, 黄辛隠, 健山智子, 岩本祐太郎, 陳延偉, “センチメントテキスト朗読時の表情顔を用いたうつ状態の検出”, 信学技報, Vol. 120, 187, pp. 90-92, 2020.
27. Yu Song, Xu Qiao, Yutaro Iwamoto and Yen-Wei Chen, “Coarse-to-fine cephalometric landmark detection using a deep learning method,” 信学技報, Vol. 120, 156, pp. 39-41, 2020.
28. 長谷川諒, 岩本祐太郎, Lanfen Lin, Hongjie Hu, 陳延偉, “ Mask R-CNNを用いたマルチフェーズCT画像における肝臓腫瘍候補の自動検出”, 信学技報, Vol. 120, 156, pp. 35-38, 2020.
29. 永田敬之, 岩本祐太郎, Zhao Ziyu, 手塚祐司, 岡田裕貴, 前田清澄, 和田厚幸, 柏木厚典, 陳延偉, “2段階セグメンテーションネットワークによる心外膜下脂肪組織の定量的解析とそのシステム開発”, 信学技報, Vol. 120, 156, pp. 27-30, 2020.
30. Weibin Wang, Qingqing Chen, Fang Wang, Yutaro Iwamoto, Xianhua Han, Hongjie Hu, Lanfen Lin and Yen-Wei Chen, “Prediction of microvascular invasion in hepatocellular carcinoma based on radiomics method using MRI” , 信学技報, Vol. 120, 156, pp. 25-26, 2020.
31. 劉家慶, 健山智子, 岩本祐太郎, 陳延偉, “タッチベースインタラクティブCOVID-19のセグメンテーション、定量評価および可視化システム”, 信学技報, Vol. 120, 156, pp. 19-21, 2020.
32. Yutaro Iwamoto, “BAPL score classification of PET image using deep learning and future plan,” 韓国東亜大学, 2020.
33. 岩本祐太郎, “三次元計測の基礎と深度画像の高解像度化”, 先進電磁波イメージング研究会, 2020.
34. 神保日華里, TitinuntKitrungrotsakul, 岩本祐太郎, Hongjie Hu, Qingqing Chen, Lanfen Lin, 陳延偉, “深層学習を用いたCT画像からの肝臓領域の対話型セグメンテーション”, 令和元年電気関係学会関西連合大会, 2019.
35. 川原稔暉, 岩本祐太郎, Hongjie Hu, Qingqing Chen, Lanfen Lin, 陳延偉, “Two-component decompositionを用いた深層学習におけるネットワークの軽量化・最適化”, 令和元年電気関係学会関西連合大会, 2019.
36. Yutaro Iwamoto, “Advanced deep learning for liver segmentation and liver lesion classification,” 5th International Symposium on AI-based Analysis on Medical Database, 2019.
37. 永田敬之, 橋爪直寛, 岩本祐太郎, 陳延偉, “AutoEncoderによるマルチモーダルMR脳画像の教師無しセグメンテーション”, 平成30年電気関係学会関西連合大会, 2018.
38. 古澤康太郎, 劉家慶, 辻永成樹, 健山智子, 岩本祐太郎, 陳延偉, “KINECTハンドジェスチャ画像データベ ース構築と深層学習によるジェスチャ認識”, 平成30年電気関係学会関西連合大会, 2018.
39. 長谷川諒, 米津翔平, 岩本祐太郎, 陳延偉, “日本道路標識・交通信号データベースの構築と深層学習を用い た頑健な検出と認識”, 平成30年電気関係学会関西連合大会, 2018.
40. Jia-Qing Liu, Kotaro Furusawa, Seiju Tsujinaga, Tomoko Tateyama, Yutaro Iwamoto and Yen-Wei Chen, “Kinect RGB-D hand gesture image database for deep learning based gesture recognition,” 電子情報通信学会PRMU研究会, Vol. 118, 219, pp. 141-142, 2018.
41. Weibin Wang, Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han and Yen-Wei Chen, “Computer-aided diagnosis of liver cancers using deep learning with fine-tuning,” 電子情報通信学会PRMU研究会, Vol. 118, 219, pp. 139-140, 2018.
42. 趙紫瑜, 音石朋恵, 岩本祐太郎, 手塚祐司, 岡田裕貴, 前田清澄, 和田厚幸, 柏木厚典, 陳延偉, “深層学習を用いた心外膜の自動抽出”, 電子情報通信学会PRMU研究会, Vol. 118, pp. 131-132, 2018.
43. 榎木谷侑生, 岩本祐太郎, 陳延偉, “Adversarial U-Net for liver segmentation,” 信学技報, Vol. 117, 518, pp. 67-68, 2018.
44. Yutaro Iwamoto, “Three-class classification of PET scans in AD based on convolutional neural network,” 4th International Symposium on AI-based Analysis on Medical Database, 2018.
45. 米津翔平, 岩本祐太郎, 陳延偉, “2段階YOLOv2を用いた極小サイズのナンバープレート検出”, ビジョン技術の実利用ワークショップ（ViEW2017）, 2017.
46. 佐藤亮輔, 韓先花, 岩本祐太郎, 陳延偉, “Deep Convolutional Neural Networkを用いた食事画像認識”, 平成29年電気関係学会関西連合大会, 2017.
47. 吉延友佑, 椎野顯彦, 岩本祐太郎, 陳延偉, “深層学習を用いたラクナ梗塞初期候補検出精度の向上”, 平成29年電気関係学会関西連合大会, 2017.
48. 辻永成樹, 山口展生, 劉家慶, 岩本祐太郎, 健山智子, 陳延偉, “L字スクリーンとKinectを用いた体感型VRキャンパス案内システム”, 平成29年電気関係学会関西連合大会, 2017.
49. Jiaqing Liu, Ryoma Fujii, Tomoko Tateyama, Yutaro Iwamoto and Yen-Wei Chen, “Kinect-based gesture recognition for touchless visualization of medical images,” 第36回日本医用画像工学会大会, 2017.
50. Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Lanfen Lin, Wei Xiong and Yen-Wei Chen, “Automatic vessel segmentation using a combined deep network,” 第36回日本医用画像工学会大会, 2017.
51. 武田匡平, 岩本祐太郎, 上村圭亮, 高尾正樹, 菅野伸彦, 佐藤嘉伸, 陳延偉, “Micro CT画像を事例としたCT画像の高解像度化”, 信学技報, Vol. 117, 48, pp. 25-29, 2017.
52. Yutaro Iwamoto, “Medical imaging analysis using image processing and machine learning,” The 3rd International Symposium on Artificial Intelligence and Medicine for Health Care, 2017.
53. 岩本祐太郎, “機械学習と深層学習-医用画像への応用”, 滋賀医科大学VBM・BAADセミナー, 2017.
54. 砂川奈緒子, 轟佳大, 椎野顯彦, 岩本祐太郎, 陳延偉, “Convolutional Neural Networkを用いたラクナ梗塞初期候補検出精度の向上”, 電気関係学会関西連合大会, 2016.
55. 轟佳大, Titinunt Kitrungrotsakul, 岩本祐太郎, 韓先花, 陳延偉, “深層学習を用いた肝臓腫瘍候補の検出”, 電気関係学会関西連合大会, 2016.
56. 山口展生, 藤井亮馬, 岩本祐太郎, 健山智子, 陳延偉, “二面スクリーンを用いた大学上空での空中ブランコVR体験システムの構築”, 電気関係学会関西連合大会, 2016.
57. Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto and Yen-Wei Chen, “Robust blood vessel of liver extraction using deep convolution network,” 信学技報, Vol. 116, 225, pp. 7-8, 2016.
58. Qiaochu Zhao, Yutaro Iwamoto, Xian-Hua Han and Yen-Wei Chen, “Super-resolution for 3D anisotropic low-resolution MR images using multilayer convolutional neural networks,” 第19回画像の認識・理解シンポジウム（MIRU2016）, 2016.
59. 李迎博, 西村洋, 松代直樹, 北村貴裕, 董春華, 岩本祐太郎, 姜慧研, 陳延偉, “パッチベースランダムウォークによる中耳・側頭骨含気腔のセグメンテーション”, 第19回画像の認識・理解シンポジウム（MIRU2016）, 2016.
60. 岩本祐太郎, 韓先花, 椎野顯彦, 陳延偉, “三次元脳MR画像の超解像処理とセグメンテーションへの応用”, 第19回画像の認識・理解シンポジウム（MIRU2016）, 2016.
61. 岩本祐太郎, 韓先花, 椎野顯彦, 陳延偉, “複数ボリュームデータを用いたマウスMR画像の超解像処理”, 信学技報, 画像工学研究会, Vol. 115, 458, pp. 35-39, 2016.
62. 近藤佑斗, 趙キョウ楚, 岩本祐太郎, 韓先花, 陳延偉, “深層学習による医用画像の高解像度化”, 信学技報, 画像工学研究会, Vol. 115, 458, pp.29-34, 2016.
63. 岩本祐太郎, “学習ベース超解像技術と医用画像への応用”, 画像計測研究会, 2016.
64. 谷口和輝, 韓先花, 岩本祐太郎, 笹谷聡, 陳延偉, “ベクトル量子化と多様体学習を用いた超解像技術”, パターン認識・メディア理解研究会（PRMU）, Vol. 112, 38, pp. 19-24, 2012.
65. 谷口和輝, 大橋基範, 韓先花, 岩本祐太郎, 笹谷聡, 陳延偉, “高周波成分を考慮した多様体学習を用いた事例ベース超解像技術”, 平成23年電気関係学会関西支部連合大会, 2011.
66. 笹谷聡, 韓先花, 岩本祐太郎, 谷口和輝, 陳延偉, “高周波成分を考慮したFace Hallucination法”, 第16回日本顔学会大会フォーラム顔学2011, Vol. 11, 191, 2011.
67. 谷口和輝, 韓先花, 岩本祐太郎, 笹谷聡, 大橋基範, 陳延偉, “回転不変位相限定相関法の超解像技術への応用”, 映像情報メディア学会メディア工学研究会, Vol. 35, 23, pp. 33-36, 2011.
68. 岩本祐太郎, 韓先花, 大橋基範, 笹谷聡, 谷口和輝, 陳延偉, “Hallucination法に基づいた医用画像の超解像処理”, 医用画像研究会（MI）, Vol. 111, 47, pp. 57-62, 2011.
69. 岩本祐太郎, 笹谷聡, 大橋基範, 韓先花, 陳延偉, “勾配情報に基づくエッジ保存補間”, 平成22年電気関係学会関西支部連合大会, 2010.
70. 大橋基範, 岩本祐太郎, 笹谷聡, 韓先花, 陳延偉, “多様体学習を用いた事例ベース超解像処理”, 平成22年電気関係学会関西支部連合大会, 2010.

• 外部資金の獲得、特許・著作権等の知財権の取得など
  ＜外部資金の獲得＞
  研究代表：

1. インタラクティブ深層学習モデルによる小児水頭症の高精度脳室セグメンテーション, 学術研究助成基金助成金・若手研究, 2021～2023年度.
2. 画像処理(AI)を活用した電動機コイル不具合の判定, 学外共同研究費(草津電機(株)), 2020年度.
3. マルチチャンネルデータを用いた三次元脳MR画像の高精細化と高精度な領域分割, 学術研究助成基金助成金・若手研究, 2018～2020年度.

　　研究分担：

1. 画像のグラフ構造化記述と深層学習の融合による物体認識, 学術研究助成基金助成金・基盤研究(C), 2023～2025年度, 研究代表者：大阪電気通信大学・越後富夫.
2. フェーズアテンションネットを用いた弱教師学習による肝臓腫瘍性病変の診断支援, 科学研究費補助金・基盤研究(B), 2021～2024年度, 研究代表者：立命館大学・陳延偉.
3. 弱教師深層学習と計算解剖モデルの統合による肝臓がんの診断支援, 学術研究助成基金助成金・国際共同研究強化(B), 2020～2025年度, 研究代表者：立命館大学・陳延偉.
4. 三次元深層学習ネットワークの軽量化と肝臓疾患の計算機支援診断への応用, 学術研究助成基金助成金・挑戦的研究(萌芽), 2020～2022年度, 研究代表者：立命館大学・陳延偉.
5. テンソルスパース表現による多時相CT画像の時空間特徴抽出と肝腫瘍性病変の診断支援, 科学研究費補助金・基盤研究(B), 2018～2020年度, 研究代表者：立命館大学・陳延偉.

　　＜特許＞

1. 特許番号：特許第7213412号, 登録日：令和5年1月19日, 発明人：陳延偉, 岩本祐太郎, 趙紫瑜, 手塚祐司, 岡田裕貴, 前田清澄, 和田厚幸, 柏木厚典, 発明の名称: 医用画像抽出装置, 医用画像抽出方法、及び、コンピュータプログラム

• 学会等における活動（学術集会の組織、雑誌編集など）

岩本　祐太郎　Yutaro IWAMOTO

• 所属部署
  情報通信工学部 情報工学科 准教授

• 地域社会における貢献

• 公的機関等における委員・役員など

• 学会等の財団法人・社団法人における組織運営
  映像情報メディア学会, 関西支部, 運営委員

• 国内外における災害救助活動、NPO 活動など

• その他