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J-GLOBAL ID：201701006731214416   Update date: Sep. 05, 2024

YUTARO IWAMOTO

イワモト ユウタロウ | YUTARO IWAMOTO
Research field  (2)： Biological, health, and medical informatics ,  Perceptual information processing
Research keywords  (1)： Image Processing, Machine Learning, Medical Image Processing
Research theme for competitive and other funds  (7)：
  • 2020 - 2026 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
  • 2021 - 2025 Weakly-Supervised Differentiation of Focal Liver Lesions Using Phase-Attention Net
  • 2021 - 2024 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
  • 2020 - 2023 Lightweight 3D Deep Learning Network for Computer-Aided Diagnosis of Liver Lesions
  • 2018 - 2021 Super-Resolution and Segmentation of 3D Brain MR images using Multi-Channel data
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Papers (91)：
  • Yulin Yang, Qingqing Chen 0001, Yinhao Li, Fang Wang, Xian-Hua Han, Yutaro Iwamoto, Jing Liu 0041, Lanfen Lin, Hongjie Hu, Yen-Wei Chen 0001. Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. IEEE J. Biomed. Health Informatics. 2024. 28. 8. 4737-4750
  • He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen 0001. 3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation. IEICE Transactions on Information & Systems. 2023. 106. 5. 1027-1037
  • Xinran Zhang, Xiaoyu Shi, Yutaro Iwamoto, Jingliang Cheng, Jie Bai, Guohua Zhao, Xian-Hua Han, Yen-Wei Chen 0001. IDH mutation status prediction by a radiomics associated modality attention network. The Visual Computer. 2023. 39. 6. 2367-2379
  • Shurong Chai, Jiaqing Liu, Rahul Kumar Jain, Tomoko Tateyama, Yutaro Iwamoto, Lanfen Lin, Yen-Wei Chen. A multi-head pseudo nodes based spatial-temporal graph convolutional network for emotion perception from GAIT. Neurocomputing. 2022. 511. 437-447
  • Masaya Okano, Jiaqing Liu, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen 0001. Accurate Hand Gesture Recognition Using Color and Depth Images with Modality-invariant Fusion. 11th IEEE Global Conference on Consumer Electronics(GCCE). 2022. 645-648
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MISC (23)：
  • LIU Jiaqing, HUANG Huiming, WANG Fang, YUAN Ye, 健山智子, 岩本祐太郎, LIN Lanfen, CHEN Yen-Wei. Touch-Based Interactive System for Assessment and Visualization of COVID-19. 電子情報通信学会論文誌 D(Web). 2022. J105-D. 1
  • 木下将児, LIU Jiaqing, 健山智子, 岩本祐太郎, CHEN Yen-Wei. 3D Human Body Pose Estimation Using Graph Convolutional Networks. 映像情報メディア学会技術報告. 2021. 45. 7(HI2021 1-8)
  • LIU Jia-Qing, CHAI Shu-Rong, HUANG Yue, HUANG Xin-Yin, 健山智子, 岩本祐太郎, CHEN Yen-Wei. A CNN-Transformer-Based Network for Depression Severity Recognition. 電子情報通信学会技術研究報告(Web). 2021. 120. 409(PRMU2020 69-101)
  • LIU Jia-Qing, CHAI Shu-Rong, SUN Hao, HUANG Xin-Yin, LIN LanFen, 健山智子, 岩本祐太郎, CHEN Yen-Wei. Multi-modal Adaptive Fusion Transformer Network for Estimation of Depression Level. 電子情報通信学会技術研究報告(Web). 2021. 121. 98(MI2021 9-20)
  • 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. 電気関係学会関西連合大会(Web). 2021. 2021
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Lectures and oral presentations  (46)：
  • Automatic Detection of Focal Liver Lesions in Multi-Phase CT Images Using a Multi-Channel and Multi-Scale CNN
    (2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2019)
  • Automatic Segmentation of the Paranasal Sinus from Computer Tomography Images Using a Probabilistic Atlas and a Fully Convolutional Network
    (2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019)
  • Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-Phase CT Images and Clinical Data
    (2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019)
  • A Cascade of CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Image
    (2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019)
  • Two-Stage YOLOv2 for Accurate License-Plate Detection in Complex Scenes
    (Proc. of IEEE 37th International Conference on Consumer Electronics 2019)
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Education (3)：
  • - 2017 Ritsumeikan University Graduate School of Information Science and Engineering Advanced Information Science and Engineering
  • - 2013 Ritsumeikan University Graduate School of Science and Engineering Advanced Information Science and Engineering
  • - 2011 Ritsumeikan University College of Information Science and Engineering Department of Media Technology
Professional career (1)：
  • Ph.D. (Engineering) (Ritsumeikan University)
Work history (2)：
  • 2016/04/01 - 2017/03/31 Ritsumeikan University assistant
  • 2013/04/01 - 2015/11 Omron Corporation
Association Membership(s) (1)：
The Institute of Electronics, Information and Communication Engineers
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