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Satoshi Kondo
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Research field 【 display / non-display 】
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Informatics / Intelligent informatics
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Informatics / Life, health and medical informatics
Keywords for Research Field 【 display / non-display 】
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Medical Computer Vision
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Computer Vision
Research themes 【 display / non-display 】
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Video coding
1992.09 ～ 2003.04
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Computer vision
2003.04 ～ 2007.09
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Medical image processing / image recognition
2007.10 ～ 2023.04
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Computer vision
2015.12 ～ 2023.03
Research history 【 display / non-display 】
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Video coding
1992.09 ～ 2003.04
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Computer vision
2003.04 ～ 2007.09
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Medical image processing / Medical image recognition
2007.10 ～ 2021.09
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Image recognition
2015.12 ～ 2021.09
Graduate school・Graduate course, etc. 【 display / non-display 】
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Osaka Prefecture University
1992.03，Master's program，Graduate School, Division of Engineering，電気工学専攻，Completed，Japan
Graduate school・major, etc. 【 display / non-display 】
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Osaka Prefecture University
1990.03，Faculty of Engineering，電気工学科，Graduate，Japan
Career 【 display / non-display 】
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松下電器産業株式会社（現パナソニック株式会社）
1992.04.01 ～ 2013.12.31
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コニカミノルタ株式会社 部長
2014.01.01 ～ 2021.06.30
Academic prize 【 display / non-display 】
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IEEE GCCE 2024 Presentation Awards
2024.11.01，IEEE
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Best Poster Presentation Award
2025.02，Korean Society of Nursing Science
Please refer to the web page of our lab (https://sites.google.com/view/implab)
ホームページ参照
Purpose of Research
ホームページ参照ホームページ参照
Summary of Research
ホームページ参照ホームページ参照
Features / Benefits of Research
| 1.Point of research | 2.Research of novelty |
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| 3.Primacy of Technology | 4.Situation of patent-related |
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Books 【 display / non-display 】
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Computer-Aided Analysis of Gastrointestinal Videos
B. Jorge, H. Aymeric (編)，Springer，2021.07，978-3-030-64339-3
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映像情報メディア工学大事典
映像情報メディア学会編，オーム社 (2010)，2010，978-4274208690
Papers 【 display / non-display 】
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Dual-model weight selection and self-knowledge distillation for medical image classification
A. Tsutsumi, G. Li, R. Togo, T. Ogawa, S. Kondo, M. Haseyama，Computers in Biology and Medicine，2026.02
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Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge
T. Rueckert, D. Rauber, R. Maerkl, L. Klausmann, S. R. Yildiran, M. Gutbrod, D. W. Nunes, A. F. Moreno, I. Luengo, D. Stoyanov, N. Toussaint, E. Cho, H. B. Kim, O. S. Choo, K. Y. Kim, S. T. Kim, G. Arantes, K. Song, J. Zhu, J. Xiong, T. Lin, S. Kikuchi, H. Matsuzaki, A. Kouno, J. R. R. Manesco, J. P. Papa, T. Choi, T. K. Jeong, J. Park, O. Alabi, M. Wei, T. Vercauteren, R. Wu, M. Xu, A. Wang, L. Bai, H. Ren, A. Yamlahi, J. Hennighausen, L. Maier-Hein, S. Kondo, S. Kasai, K. Hirasawa, S. Yang, Y. Wang, H. Chen, S. Rodríguez, N. Aparicio, L. Manrique, J. C. Lyons, O. Hosie, N. Ayobi, P. Arbeláez, Y. Li, Y. A. Khalil, S. Nasirihaghighi, S. Speidel, D. Rueckert, H. Feussner, D. Wilhelm, C. Palm,，Medical Image Analysis，2026.01
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Classifying abnormalities in chest radiographs from Vietnam using deep learning for early detection of cardiopulmonary diseases
C. Kai, S. Kasai, R. Teramoto, A. Yoshida, H. Tamori, S. Kondo, P. T. Hai , N. V. Cong, D. M. Tuan, T. V. Loc, N. Kodama，Frontiers in Radiology，(5)，Article Number:1703927，2025.11
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Tomato Growth Monitoring and Phenological Analysis Using Deep Learning-Based Instance Segmentation and 3D Point Cloud Reconstruction
W. Timprae, T. Sagawa, S. Baar, S. Kondo, Y. Okada, K. Sato, P. S. Rumahorbo, Y. Lyu, K. Shibuya, Y. Gama, Y. Hatanaka, S. Watanabe，Sustainability ，vol.17，(22)，Article Number:10120，2025.11
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A Community Benchmark for the Automated Segmentation of Pediatric Neuroblastoma on Multi-Modal MRI: Design and Results of the SPPIN Challenge at MICCAI 2023
M. A. D. Buser, D. C. Simons, M. Fitski, M. H. W. A. Wijnen, A. S. Littooij, A. H. ter Brugge, I. N. Vos, M. H. A. Janse, M. de Boer, R. ter Maat, J. Sato, S. Kido, S. Kondo, S. K. MarekWodzinski, H. Müller, J. Ye, J. He, Y. Kirchhoff, M. R. R. G. Haokai, M. Fernández-Patón, D. Veiga-Canuto, D. G. E. M. Aizenberg, B. H. M. van der Velden, H. Kuijf, A. de Luca, A. F. W. van der Steeg，Bioengineering，vol.12，2025.10
International conference proceedings 【 display / non-display 】
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Dual-Model Weight Selection and Wasserstein Knowledge Distillation for Medical Image Classification
Ayaka Tsutsumi, Guang Li, Ren Togo, Takahiro Ogawa, Satoshi Kondo, Miki Haseyama，The International Forum on Medical Imaging in Asia 2026，2026.01
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Insect Damage Detection in Corn Leaf Using YOLOV10 Modes: A Transfer Learning Approach
Suresh Timilsina, Sandhya Sharma, Biplove Pokhrel, Pradip Aryal, Kazuhiko Sato, Yoshifumi Okada, Shinya Watanabe, Satoshi Kondo，Materials, Methods & Technologies，vol.19，(p.119 ～ 128)，2025.08
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A hybrid model for arrhythmia classification based on Convolutional Neural Network and Extreme Learning Machine without ECG preprocessing
Chotirose Prathom, Ryuhi Fukuda, Yuto Yokoyanagi, Shinya Watanabe, Satoshi Kondo, Kazuhiko Sato, Yoshifumi Okada，Proc. of AROB 30th，2025.01
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Tomato Phenotyping from Daily Video Footage Using 3D Reconstruction Point Cloud and Growth Status Assessment
Warut Timprae, Stefan Baar, Satoshi Kondo, Yoshifumi Okada, Kazuhiko Sato, Shinya Watanabe，Proc. of AROB 30th，2025.01
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A Shape-Based Similarity Calculation Method for Cost Estimation of Large Forged Steel Products
Shunga Matsuo, Satoshi Kondo, Yusuke Imamura, Kenji Takase, Shinya Watanab，2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS)，2024.11
Editorial and Commentary 【 display / non-display 】
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可視光と赤外光画像の中間特徴融合による物体検出
笹森渓斗，近藤敏志，平澤宏祐，画像ラボ，vol.36，(10)，(p.55 ～ 59)，2025.10
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Curation
Kondo Satoshi，The Journal of The Institute of Image Information and Television Engineers，vol.67，(8)，(p.695 ～ 696)，2013
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動画像に対する手振れ補正と超解像ズームの統合処理方式
近藤 敏志, 遠間 正真，Image lab，vol.21，(6)，(p.66 ～ 70)，2010.06
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手振れ補正と超解像ズームを統合した動画像処理方式 (特集 最新の画像復元・超解像技術)
近藤 敏志, 遠間 正真，O plus E，vol.32，(3)，(p.298 ～ 302)，2010.03
Research reports 【 display / non-display 】
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Dual-Model Weight Selection and Self-Knowledge Distillation for Medical Image Classification
Ayaka Tsutsumi, Guang Li, Ren Togo, Takahiro Ogawa, Satoshi Kondo, Miki Haseyama，arXiv，Article Number:2508.20461，2025.08
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Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge
T. Rueckert, D. Rauber, R. Maerkl, L. Klausmann, S. R. Yildiran, M. Gutbrod, D. W. Nunes, A. F. Moreno, I. Luengo, D. Stoyanov, N. Toussaint, E. Cho, H. B. Kim, O. S. Choo, K. Y. Kim, S. T. Kim, G. Arantes, K. Song, J. Zhu, J. Xiong, T. Lin, S. Kikuchi, H. Matsuzaki, A. Kouno, J. R. R. Manesco, J. P. Papa, T. Choi, T. K. Jeong, J. Park, O. Alabi, M. Wei, T. Vercauteren, R. Wu, M. Xu, A. Wang, L. Bai, H. Ren, A. Yamlahi, J. Hennighausen, L. Maier-Hein, S. Kondo, S. Kasai, K. Hirasawa, S. Yang, Y. Wang, H. Chen, S. Rodríguez, N. Aparicio, L. Manrique, J. C. Lyons, O. Hosie, N. Ayobi, P. Arbeláez, Y. Li, Y. A. Khalil, S. Nasirihaghighi, S. Speidel, D. Rueckert, H. Feussner, D. Wilhelm, C. Palm，arXiv，2025.07
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crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023
N. Wijethilake, R. Dorent, M. Ivory, A. Kujawa, S. Cornelissen, P. Langenhuizen, M. Okasha, A. Oviedova, H. Dong, B. Kang, G. Sallé, L. Han, Z. Zhao, H. Liu, Y. Fan, T. Yang, S. Hardan, H. Alasmawi, S. Sanjeev, Y. Zhuang, S. Kondo, M. B. Calisto, S. M. U. Noman, C. Chen, I. Oguz, R. Zhang, M. Rezaei, S. K. Lai-Yuen, S. Kasai, Y. Huang, C. Hung, M. Yaqub, L. Wang, B. M. Dawant, C. Guan, R. Mann, V. Jaouen, T. Kam, L. Zhang, J. Shapey, T. Vercauteren，arXiv，2025.06
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Automated segmentation of pediatric neuroblastoma on multi-modal MRI: Results of the SPPIN challenge at MICCAI 2023
M.A.D. Buser, D.C. Simons, M. Fitski, M.H.W.A. Wijnen, A.S. Littooij, A.H. ter Brugge, I.N. Vos, M.H.A. Janse, M. de Boer, R. ter Maat, J. Sato, S. Kido, S. Kondo, S. Kasai, M. Wodzinski, H. Muller, J. Ye, J. He, Y. Kirchhoff, M.R. Rokkus, G. Haokai, S. Zitong, M. Fernández-Patón, D. Veiga-Canuto, D.G. Ellis, M.R. Aizenberg, B.H.M. van der Velden, H. Kuijf, A. De Luca, A.F.W. van der Steeg，arXiv，Article Number:2505.00369，2025.05
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ReSW-VL: Representation Learning for Surgical Workflow Analysis Using Vision-Language Model
Satoshi Kondo，arXiv，Article Number:2505.13746，2025.05
Presentaion at conference, meeting, etc. 【 display / non-display 】
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大胸筋セグメンテーションを用いたマンモグラム位置合わせ手法の改良
白幡将大，甲斐千遥，笠井聡，近藤敏志，電子情報通信学会，画像工学研究会，2026.02.20
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時空間グラフ畳み込みネットワークを用いた歩行異常検出モデルの軽量化
吉田芽以，田代英之，井平光，近藤敏志，電子情報通信学会，画像工学研究会，2026.02.20
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胸部X線画像における異常検出手法を用いた緊急性疾患の分類
白幡将大，甲斐千遥，笠井聡，近藤敏志，電子情報通信学会，画像工学研究会，2026.02.20
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医用CT画像向け視覚的質問応答の精度向上に関する検討
一戸輝，近藤敏志，電子情報通信学会，画像工学研究会，2026.02.20
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シーン分割によるスポーツ自動採点の精度向上
館内駿，近藤敏志，電子情報通信学会，画像工学研究会，2026.02.20
Class subject in charge 【 display / non-display 】
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人工知能
2025，Department
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情報学ゼミナール
2025，Department
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データベース
2025，Department
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表現技術演習
2025，Department
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基盤情報学演習
2025，Department
International research cooperation activities 【 display / non-display 】
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Mediastinal Lymph Node Quantification
アメリカ，Harvard Medical School，2023.10 ～ 2024.08
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Automatic registration of breast cancer tissue
スウェーデン，Karolinska Insitutet，2022.10 ～ 2024.10
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Mitosis Domain Generalization
ドイツ，Technische Hochschule Ingolstadt，2022.10 ～ 2024.05
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Artificial Intelligence for RObust Glaucoma Screening
オランダ，University of Amsterdam，2022.10 ～ 2024.01