Researcher Directory System

MEKADA Yoshito
School of Engineering
Professor
Last Updated :2025/05/16

Researcher Profile and Settings

Profile and Settings

Name

  • Name

    MEKADA Yoshito

Affiliations

Affiliation (Master)

  • School of Engineering, Professor
  • Department of Information Engineering, Professor
  • Institute for Advanced Studies in Artificial Intelligence, Researcher
  • Graduate School of Engineering, Professor
  • Institute of Social Sciences, Researcher

Education, Etc.

Degree

  • Mar. 1993
  • Mar. 1996

その他基本情報

Association Memberships

  • Information Processing Society of Japan
  • The Japan Society of Hepatology

Committee Memberships

  • Asia Digital Image Processing Conference (ADIP 2024), Technical Program Committee
  • 5th International Conference on Intelligent Medicine, Technical Committee
  • IEEE ITS Society Nagoya Chapter, Technical Comittee
  • 18th International Conference on Machine Vision Applications, Program Committee
  • International Conference on Intelligent Medicine and Image Processing (IMIP 2022), Technical Committee
  • IEEE ITS Society Nagoya Chapter, Technical Committee
  • IEEE ITS Society Nagoya Chapter Treasurer(2018-2019)

Research Activities

Research Areas, Etc.

Research Areas

  • Medical Imaging, Pattern Recognition

Book, papers, etc

Published Papers

  • A Method for Image Inpainting Considering Local Appearance Consistency
    Tianxiang Zhang, Keisuke Doman, Yoshito Mekada
    IEEJ Transactions on Electronics, 66, 73, 2025, refereed, Joint Work
  • Text Line Prediction and Character Segmentation from Line-by-Line Images using Character Bounding Box Annotation of Histrical Document Dataset
    Masashi Yamada, Yoshito Mekada, Junichi Hasegawa
    Transactions of Information Processing Society of Japan, 65, 3, 1, 13, 2024, refereed, Joint Work
  • Artificial intelligence (AI) models for the ultrasonographic diagnosis of liver tumors and comparison of diagnostic accuracies between AI and human experts
    Naoshi Nishida, Makoto Yamakawa, Tsuyoshi Shiina, Yoshito Mekada, Mutsumi Nishida, Naoya Sakamoto, Takashi Nishimura, Hiroko Iijima, Toshiko Hirai, Ken Takahashi, Masaya Sato, Ryosuke Tateishi, Masahi
    Journal of Gastroenterology, Online, 1, 13, 2022, refereed, Joint Work
  • Detection and Tracking of Liver Tumors for Ultrasound Diagnostic Support Using Deep Learning
    Shoya Yamagishi, Keisuke Doman, Yoshito Mekada, Naoshi Nishida, and Masatoshi Kudo
    Journal of Image and Graphics, 10, 1, 50, 55, 2022, refereed, Joint Work
  • Matching of sprint performance videos focusing on the motion periodicity and the speed linearity
    Yoshiteru Yamamoto, Keisuke Doman, Yoshiya Hotta, Yoshito Mekada
    IEEJ Trans. on Electrical and Electronic Engineering, 16, 11, 1479, 1486, 2021, refereed, Joint Work
  • Lesion Image Generation Using Conditional GAN for Metastatic Liver Cancer Detection
    Yusuke Ikeda, Keisuke Doman, Yoshito Mekada, and Shigeru Nawano
    Journal of Image and Graphics, 9, 1, 27, 30, 2021, refereed, Joint Work
  • Pitch and Playing Style Estimation Using Spectral Characteris-tics and Performance Constraints for Slapping on Bass Guitar
    J101-D, 11, 1499, 1503, 2018, refereed, Joint Work
  • Vol.E100-A, 3, 854, 864, 2017, refereed, Joint Work
  • 1, 16, 2016, refereed, Joint Work
  • 588, 589, 2016, refereed, Joint Work
  • 449, 470, 2010, refereed, Joint Work
  • 2253, 2262, 2008, refereed, Joint Work
  • Detection of Raindrops on a Windowshield from an In-vehicle Video Camera
    Hiroyuki Kurihata, Tomokazu Takahashi, Ichiro Ide, Yoshito Mekada, Hiroshi Murase, Yukimasa Tamatsu and Takayuki Miyahara
    International Journal of Innovative Computing, Information and Control (IJICIC), 1583, 1591, 2007, refereed, Joint Work
  • Generation of Training Data by Degradation Models for Traffic Sign Symbol Recognition
    Hiroyuki Ishida, Tomokazu Takahashi, Ichiro Ide, Yoshito Mekada, Hiroshi Murase
    IEICE Trans., Vol.J90-E, 1134, 1141, 2007, refereed, Joint Work
  • Evaluation of a prostate biopsy strategy for cancer detection using a computer simulation system with virtual needle biopsy for 3D prostate models
    Masanori Noguchi, Daisuke Deguchi, Junichiro Toriwaki, Kensaku Mori, Yoshito Mekada and Kei Matsuoka
    International Journal of Urology, 1296, 1303, 2006, refereed, Joint Work
  • 33, 38, 2001, refereed, Joint Work
  • 11, 18, 2001, refereed, Joint Work
  • 233, 245, 1999, refereed, Joint Work
  • 1097, 1104, 1998, refereed, Joint Work

Books etc

  • Lesion image synthesis using DCGANs for metastatic liver cancer detection
    Keisuke Doman, Takaaki Konishi, Yoshito Mekada
    Deep Learning in Medical Image Analysis: Challenges and Applications, Springer, 2020

Conference Activities & Talks

  • Domain-adaptive object detection by using refined pseudo-labels via segmentation
    Juki Tanimoto, Haruya Kyutoku, Keisuke Doman, Yoshito Mekada
    Proc. of the 31st Int. Workshop on Frontiers of Computer Vision, 2025, Joint Work, refereed
  • Domain-adaptive object detection by using refined pseudo-labels via segmentation
    Juki Tanimoto, Haruya Kyutoku, Keisuke Doman, Yoshito Mekada
    The 31st Int. Workshop on Frontiers of Computer Vision, 2024, Joint Work
  • Domain adaptation from visible-light to FIR with reliable pseudo labels
    Juki Tanimoto, Haruya Kyutoku, Keisuke Doman, Yoshito Mekada
    Proc. of the 18th Int. Conf. on Machine Vision Applications, 2023, Joint Work, refereed
  • Development of a computer-aided diagnosis system for detection and tracking of liver tumors from ultrasonography
    Yoshito Mekada
    The 14th Int. Conf. on Digital Image Processing, 2022, Single Work, refereed
  • Improvement of attention modules for image captioning using pixel-wise semantic information
    Zhihao Chen, Keisuke Doman, Yoshito Mekada
    Proc. SPIE 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 2022, Joint Work, refereed
  • Liver tumor detection and classification from abdominal ultrasound images with centernet using contrastive learning
    Eigo Hara, Keisuke Doman, Yoshito Mekada, Naoshi Nishida, Masatoshi Kudo
    Proc. of Int. Workshop on Advanced Image Technology, 2023, Joint Work, refereed
  • Detection and tracking of liver tumors for ultrasound diagnostic support using deep learning
    Shoya Yamagishi, Keisuke Doman, Yoshito Mekada, Naoshi Nishida, Masatoshi Kudo
    Int. Conf. on Biomedical Signal and Image Processing, Joint Work
  • Lesion image generation using conditional GAN for metastatic liver cancer detection
    Yusuke Ikeda, Keisuke Doman, Yoshito Mekada, Shigeru Nawano
    2nd International Conference on Intelligent Medicine and Image Processing (IMIP 2020), 2020, Joint Work, refereed, Online
  • Depth estimation for instrument segmentation from a single laparoscopic video toward laparoscopic surgery support
    Takuya Suzuki, Keisuke Doman, Yoshito Mekada
    Proceedings of the 2019 International Conference on Intelligent Medicine and Image Processing, 2019, Joint Work, Patra Jasa Bali Resort & Villas, Bali, Indonesia
  • Application of data augmentation for accurate attractiveness estimation for food photography
    Tatsumi Hattori, Keisuke Doman, Ichiro Ide, Yoshito Mekada
    Proceedings of the 11th Workshop on Multimedia for Cooking and Eating Activities, 2019, Joint Work, refereed, University of Ottawa, Ottawa, ON, Canada
  • Japanese Character Segmentation for Historical Handwritten Official Documents Using Fully Convolutional Networks
    Kei Watanabe, Shinji Takahashi, Yuki Kamaya, Masashi Yamada, Yoshito Mekada, Junichi Hasegawa, Shinya Miyazaki
    International Conference on Document Analysis and Recognition 2019, 2019, Joint Work, The International Convention Centre Sydney
  • A study on a data augmentation framework for accurate food attractiveness estimation
    Tatsumi Hattori, Keisuke Doman, Ichiro Ide, Yoshito Mekada
    IEICE SIG Symposium on Attractiveness Computing 2019, 2019, Joint Work, Nagoya University
  • Sprint form analysis toward athletic performance improvement
    Yoshiteru Yamamoto, Keisuke Doman, Yoshiya Hotta, Yoshito Mekada
    IEICE SIG Symposium on Attractiveness Computing 2019, 2019, Joint Work, Nagoya University
  • Joint Work
  • Joint Work
  • Raindrop removal in a vehicle camera video considering the temporal consistency for driving support
    Hiroki Inoue, Keisuke Doman, Jun Adachi, Yoshito Mekada
    Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020, Joint Work, refereed, Grand Hotel Excelsior, Valletta, Malta
  • Lesion image generation using conditional GAN for metastatic liver cancer detection
    Proceedings of the 2020 International Conference on Intelligent Medicine and Image Processing, 2020, Joint Work, refereed, Tiangong University, Tianjin, China
  • Character recognition of modern Japanese official documents using CNN for imbalanced learning data
    Zongjhe Yang, Keisuke Doman, Masashi Yamad, Yoshito Mekada
    Int. Workshop on Advanced Image Technology (IWAIT), 2019, Joint Work
  • Running video matching algorithm focusing on the periodicity and linearity of running motion
    Yoshiteru Yamamot, Keisuke Doma, Yoshiya Hott, Yoshito Mekada
    6th Int. Congress on Sport Sciences Research and Technology Support, 2018, Joint Work, refereed, Seville, Spain
  • Learning sample generation for detecting liver cancer using 3D-CNN
    Yoshito Mekada, Keisuke Doman
    40th Int. Engineering in Medicine and Biology Conf., 2018, Joint Work, refereed, Hawaii Convention Center, Honolulu, HI, USA
  • A study on the factors affecting the attractiveness of food photography
    Tatsumi Hattori, Keisuke Doman, Ichiro Ide, Yoshito Mekada
    10th Workshop on Multimedia for Cooking and Eating Activities, 2018, Joint Work, refereed, Sweden
  • Lesion image synthesis using DCGANs for metastatic liver cancer detectio
    Takaaki Konishi, Keisuke Doman, Shigeru Nawano, Yoshito Mekada
    International Workshop on Frontiers of Computer Vision 2018, 2018, Joint Work, refereed, Hakodate
  • 2017, Joint Work
  • 2017, Joint Work
  • 2017, Joint Work
  • 2016, Joint Work
  • 2016, Joint Work
  • 2014, Joint Work, refereed
  • 2014, Joint Work
  • 2014, Joint Work
  • 2014, Joint Work
  • 2013, Joint Work
  • 2012, Joint Work, refereed
  • 2012, Joint Work
  • 2012, Joint Work
  • 2012, Joint Work
  • 2012, Joint Work
  • 2011, Joint Work
  • 2011, Joint Work
  • 2010, Joint Work
  • 2009, Joint Work
  • 2009, Joint Work
  • 2009, Joint Work
  • 2008, Joint Work
  • 2008, Joint Work
  • 2008, Joint Work
  • 2007, Joint Work
  • 2007, Joint Work
  • 2006, Joint Work
  • 2006, Joint Work
  • 2006, Joint Work
  • 2006, Joint Work
  • 2005, Joint Work
  • 2005, Joint Work
  • 2005, Joint Work
  • 2005, Joint Work
  • 2005, Joint Work
  • 2005, Joint Work
  • 2004, Joint Work
  • 2004, Joint Work
  • 2004, Joint Work
  • 2004, Joint Work
  • 2004, Joint Work
  • 2004, Joint Work
  • 2002, Joint Work
  • 2002, Joint Work
  • 2002, Joint Work
  • 2000, Joint Work
  • 1998, Joint Work
  • 1998, Joint Work
  • 1996, Joint Work

Misc

  • 84, 1, 63, 68
  • 84, 1, 37, 45, 202201
  • 84, 1, 15, 19, 202201
  • 200806

Other Research Activities

Awards & Honors

  • 2019, Zongjhe Yang, Keisuke Doman, Masashi Yamada, Yoshito Mekada, Int. Workshop on Advanced Image Technology, Best Paper Award, Character recognition of modern Japanese official documents using CNN for imbalanced learning data, Zongjhe Yang, Keisuke Doman, Masashi Yamada, Yoshito Mekada
  • 2005
  • 2004
  • 2002
  • 1997

Research Grants & Projects

  • 2016
  • 2011
  • 2010
  • 2007
  • 2004
  • 2000
  • 1998


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