Personnel Information

写真a

Satoshi Kondo


The master's program in charge

Division of Information and Electronic Engineering

The doctoral program in charge

Division of Engineering

The department in charge

Department of Sciences and Informatics

Job title

Professor

Labo URL

https://sites.google.com/view/implab

Research field 【 display / non-display

  • Informatics / Intelligent informatics

  • Informatics / Life, health and medical informatics

Keywords for Research Field 【 display / non-display

  • Medical Computer Vision

  • Computer Vision

Research themes 【 display / non-display

  • Video coding

    1992.09 ~ 2003.04

  • Computer vision

    2003.04 ~ 2007.09

  • Medical image processing / image recognition

    2007.10 ~ 2023.04

  • Computer vision

    2015.12 ~ 2023.03

Research history 【 display / non-display

  • Video coding

    1992.09 ~ 2003.04

  • Computer vision

    2003.04 ~ 2007.09

  • Medical image processing / Medical image recognition

    2007.10 ~ 2021.09

  • Image recognition

    2015.12 ~ 2021.09

Graduate school・Graduate course, etc. 【 display / non-display

  • 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

  • Osaka Prefecture University

    1990.03,Faculty of Engineering,電気工学科,Graduate,Japan

Degree 【 display / non-display

  • 博士(工学)

    動画像符号化方式における高画質化と高能率化に関する研究

Career 【 display / non-display

  • 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

  • コニカミノルタ株式会社 部長

    2014.01.01 ~ 2021.06.30

Academic Society 【 display / non-display

  • 電子情報通信学会

  • 日本医用画像工学会

  • IEEE

 

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

Research Content

Features / Benefits of Research

1.Point of research 2.Research of novelty
  • ホームページ参照
  • ホームページ参照
3.Primacy of Technology 4.Situation of patent-related
  • ホームページ参照
  • ホームページ参照
 

Books 【 display / non-display

  • Computer-Aided Analysis of Gastrointestinal Videos

    B. Jorge, H. Aymeric (編),Springer,2021.07,978-3-030-64339-3

  • 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

  • AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge

    C. de Vente, K. A. Vermeer, N. Jaccard, H. Wang, H. Sun, F. Khader, D. Truhn, T. Aimyshev, Y. Zhanibekuly, T. Le, A. Galdran, M. Á. G. Ballester, G. Carneiro, D. R. G, H. P. S, D. Puthussery, H. Liu, Z. Yang, S. Kondo, S. Kasai, E. Wang, A. Durvasula, J. Heras, M. Á. Zapata, T. Araújo, G. Aresta, H. Bogunović, M. Arikan, Y. C. Lee, H. B. Cho, Y. H. Choi, A. Qayyum, I. Razzak, B. v. Ginneken, H. G. Lemij, C. I. Sánchez,IEEE Transactions on Medical Imaging,vol.43,(1),(p.542 ~ 557),2024.01

  • CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection

    C. I. Nwoye, T. Yu, S. Sharma, A. Murali, D. Alapatt, A. Vardazaryan, K. Yuan, J. Hajek, W. Reiter, A. Yamlahi, F. Smidt, X. Zou, G. Zheng, B. Oliveira, H. R. Torres, S. Kondo, S. Kasai, F. Holm, E. Özsoy, S. Gui, H. Li, S. Raviteja, R. Sathish, P. Poudel, B. Bhattarai, Z. Wang, G. Rui, M. Schellenberg, J. L. Vilaça, T. Czempiel, Z. Wang, D. Sheet, S. K. Thapa, M. Berniker, P. Godau, P. Morais, S. Regmi, T. N. Tran, J. Fonseca, J. Nölke, E. Lima, E. Vazquez, L. Maier-Hein, N. Navab, P. Mascagni, B. Seeliger, C. Gonzalez, D. Mutter, N. Padoy,Medical Image Analysis,Article Number:102888,2023.10

  • Ceusia-Breast: computer-aided diagnosis with contrast enhanced ultrasound image analysis for breast lesions

    Satoshi Kondo, Megumi Satoh, Mutsumi Nishida, Ryousuke Sakano, Kazuya Takagi,BMC Medical Imaging,vol.23,Article Number:114,2023.08

  • 乳房X線画像における乳房構成解析(Breast Density Assessment)ソフトウェアの有用性

    櫻井 典子,甲斐 千遥,長 和弘,近藤 敏志,児玉 直樹,笠井 聡,日本診療放射線技師会誌,vol.70,(8),(p.756 ~ 763),2023.07

  • PEg TRAnsfer Workflow recognition challenge report: Do multimodal data improve recognition?

    A. Huaulmé, K. Harada, Q. Nguyen, B. Park, S. Hong, M. Choi, M. Peven, Y. Li, Y. Long, Q. Dou, S. Kumar, S. Lalithkumar, R. Hongliang, H. Matsuzaki, Y. Ishikawa, Y. Harai, S. Kondo, M. Mitsuishi, P. Jannin,Computer Methods and Programs in Biomedicine,vol.236,Article Number:107561,2023.06

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International conference proceedings 【 display / non-display

  • Black-Box Unsupervised Domain Adaptation for Medical Image Segmentation

    S. Kondo,Domain Adaptation and Representation Transfer. DART 2023. Lecture Notes in Computer Science,vol.14293,(p.22 ~ 30),2023.10

  • Why is the winner the best ?

    M. Eisenmann, A. Reinke, V. Weru, M. D. Tizabi, F. Isensee, T. J. Adler, S. Ali, V. Andrearczyk, M. Aubreville, U. Baid, S. Bakas, N. Balu, S. Bano, J. Bernal, S. Bodenstedt, A. Casella, V. Cheplygina, M. Daum, M. de Bruijne, A. Depeursinge, R. Dorent, J. Egger, D. G. Ellis, S. Engelhardt, M. Ganz, N. Ghatwary, G. Girard, P. Godau, A. Gupta, L. Hansen, K. Harada, M. P. Heinrich, N. Heller, A. Hering, A. Huaulmé, P. Jannin, A. E. Kavur, O. Kodym, M. Kozubek, J. Li, H. Li, J. Ma, C. Martín-Isla, B. Menze, A. Noble, V. Oreiller, N. Padoy, S. Pati, K. Payette, T. Rädsch, J. Rafael-Patiño, V. S. Bawa, S. Speidel, C. H. Sudre, K. van Wijnen, M. Wagner, D. Wei, A. Yamlahi, M. H. Yap, C. Yuan, M. Zenk, A. Zia, D. Zimmerer, D. B. Aydogan, B. Bhattarai, L. Bloch, R. Brüngel, J. Cho, C. Choi, Q. Dou, I. Ezhov, C. M. Friedrich, C. D. Fuller, R. R. Gaire, A. Galdran, Á. G. Faura, M. Grammatikopoulou, S. Hong, M. Jahanifar, I. Jang, A. Kadkhodamohammadi, I. Kang, F. Kofler, S. Kondo, H. Kuijf, M. Li, M. Luu, T. Martinčič, P. Morais, M. A. Naser, B. Oliveira, D. Owen, S. Pang, J. Park, S. Park, S. Plotka, E. Puybareau, N. Rajpoot, K. Ryu, N. Saeed, A. Shephard, P. Shi, D. Štepec, R. Subedi, G. Tochon, H. R. Torres, H. Urien, J. L. Vilaça, K. A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, B. Wiestler, M. Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, K. Maier-Hein, P. F. Jäger, A. Kopp-Schneider, L. Maier-Hein,Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,(p.19955 ~ 19966),2023.06,Vancouver, Canada

  • Tackling Mitosis Domain Generalization in Histopathology Images with Color Normalization

    S. Kondo, S. Kasai, K. Hirasawa,Mitosis Domain Generalization and Diabetic Retinopathy Analysis. MIDOG 2022, DRAC 2022,vol.13597,(p.217 ~ 220),Springer Nature Switzerland,2023.05

  • Multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell Detection

    S. Kondo,Proceedings of Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis,2022.03

  • Pose Estimation of 2D Ultrasound Probe from Ultrasound Image Sequences Using CNN and RNN

    K. Miura, K. Ito, T. Aoki, J. Ohmiya, S. Kondo,,International Workshop on Advances in Simplifying Medical UltraSound,(p.96 ~ 105),2021.09

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Editorial and Commentary 【 display / non-display

  • Curation

    Kondo Satoshi,The Journal of The Institute of Image Information and Television Engineers,vol.67,(8),(p.695 ~ 696),2013

  • 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

  • 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

  • Domain generalization across tumor types, laboratories, and species -- insights from the 2022 edition of the Mitosis Domain Generalization Challenge

    M. Aubreville, N. Stathonikos, T. A. Donovan, R. Klopfleisch, J. Ganz, J. Ammeling, F. Wilm, M. Veta, S. Jabari, M. Eckstein, J. Annuscheit, C. Krumnow, E. Bozaba, S. Cayir, H. Gu, X. '. Chen, M. Jahanifar, A. Shephard, S. Kondo, S. Kasai, S. Kotte, V. Saipradeep, M. W. Lafarge, V. H. Koelzer, Z. Wang, Y. Zhang, S. Yang, X. Wang, K. Breininger, C. A. Bertram,arXiv:2309.15589,2023.09

  • Synthesizing 3D computed tomography from MRI or CBCT using 2.5D deep neural networks

    S. Kondo, S. Kasai, K. Hirasawa,arXiv:2308.13553,2023.08

  • Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge

    A. Zia, K. Bhattacharyya, X. Liu, M. Berniker, Z. Wang, R. Nespolo, S. Kondo, S. Kasai, K. Hirasawa, B. Liu, D. Austin, Y. Wang, M. Futrega, J. Puget, Z. Li, Y. Sato, R. Fujii, R. Hachiuma, M. Masuda, H. Saito, A. Wang, M. Xu, M. Islam, L. Bai, W. Pang, H. Ren, C. Nwoye, L. Sestini, N. Padoy, M. Nielsen, S. Schüttler, T. Sentker, H. Husseini, I. Baltruschat, R. Schmitz, R. Werner, A. Matsun, M. Farooq, N. Saaed, J. R. R. Viera, M. Yaqub, N. Getty, F. Xia, Z. Zhao, X. Duan, X. Yao, A. Lou, H. Yang, J. Han, J. Noble, J. Y. Wu, T. A. Alshirbaji, N. A. Jalal, H. Arabian, N. Ding, K. Moeller, W. Chen, Q. He, L. Maier-Hein, D. Stoyanov, S. Speidel, A. Jarc,arXiv,Article Number:2305.07152,2023.05

  • CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting

    S. Graham, Q. D. Vu, M. Jahanifar, M. Weigert, U. Schmidt, W. Zhang, J. Zhang, S. Yang, J. Xiang, X. Wang, J. L. Rumberger, E. Baumann, P. Hirsch, L. Liu, C. Hong, A. I. Aviles-Rivero, A. Jain, H. Ahn, Y. Hong, H. Azzuni, M. Xu, M. Yaqub, M. Blache, B. Piégu, B. Vernay, T. Scherr, M. Böhland, K. Löffler, J. Li, W. Ying, C. Wang, D. Kainmueller, C. Schönlieb, S. Liu, D. Talsania, Y. Meda, P. Mishra, M. Ridzuan, O. Neumann, M. P. Schilling, M. Reischl, R. Mikut, B. Huang, H. Chien, C. Wang, C. Lee, H. Lin, Z. Liu, X. Pan, C. Han, J. Cheng, M. Dawood, S. Deshpande, R. M. S. Bashir, A. Shephard, P. Costa, J. D. Nunes, A. Campilho, J. S. Cardoso, H. P. S, D. Puthussery, D. R. G, J. C. V, Y. Zhang, Z. Fang, Z. Lin, Y. Zhang, C. Lin, L. Zhang, L. Mao, M. Wu, V. T. Vo, S. Kim, T. Lee, S. Kondo, S. Kasai, P. Dumbhare, V. Phuse, Y. Dubey, A. Jamthikar, T. T. L. Vuong, J. T. Kwak, D. Ziaei, H. Jung, T. Miao, D. Snead, S. E. A. Raza, F. Minhas, N. M. Rajpoot,arXiv:2303.06274,2023.03

  • Automated Lesion Segmentation in Whole-Body FDG-PET/CT with Multi-modality Deep Neural Networks

    S. Kondo, S. Kasai,arXiv:2302.12774,2023.02

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Presentaion at conference, meeting, etc. 【 display / non-display

  • 画像診断 AI の開発におけるデータセット構築コスト削減の取り組み

    近藤敏志,第27回遠隔医療学会学術大会,第27回遠隔医療学会学術大会予稿集,2023.11.11

  • Black-Box Unsupervised Domain Adaptation for Medical Image Segmentation

    S. Kondo ,画像の認識・理解シンポジウムMIRU2023,画像の認識・理解シンポジウムMIRU2023予稿集,2023.07.26

  • マンモグラムの左右比較手法の検討

    坂井凛香, 福島祥之, 甲斐千遥, 大塚恒博, 二村仁, 笠井聡, 近藤敏志 ,画像の認識・理解シンポジウムMIRU2023,画像の認識・理解シンポジウムMIRU2023予稿集,2023.07.26

  • Screening and case analysis of chest X-ray images using deep learning techniques

    福島祥之,近藤敏志(室蘭工業大学),大地邦彦,小林祐貴(京都工場保健会),吉田皓文,笠井聡(新潟医 療福祉大学),生体画像と医用人工知能研究会 第5回若手発表会,日本生体医工学会,生体画像と医用人工知能研究会 第5回若手発表会 プログラム・抄録集,(p.7-7),2023.03.15

  • 胸部X線画像から呼吸機能を推定するAIの開発

    吉田皓文,大地邦彦,小林祐貴,近藤敏志,笠井聡,医用画像情報学会,令和4年度秋季(194回)大会,2022.10

 

Class subject in charge 【 display / non-display

  • 表現技術演習

    2023,Department

  • データベース

    2023,Department

  • 情報学ゼミナール

    2023,Department

  • 情報学特別講義D(後半8週)

    2023,Department

  • 基盤情報学演習

    2023,Department

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