Papers - Satoshi Kondo

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  1. CNDD-Net: A Lightweight Attention-Based Convolutional Neural Network for Classifying Corn Nutritional Deficiencies and Leaf Diseases

    Suresh Timilsina, Sandhya Sharma, Samir Gnawali, Kazuhiko Sato, Yoshifumi Okada, Shinya Watanabe, Satoshi Kondo，electronics，vol.14，(7)，Article Number:1482，2025.04

  2. Estimating the Amount of Air Inside the Stomach for Detecting Cancers on Gastric Radiographs Using Artificial Intelligence: an Observational, Cross-sectional Study

    Chiharu Kai, Takahiro Irie, Yuuki Kobayashi, Hideaki Tamori, Satoshi Kondo, Akifumi Yoshida, Yuta Hirono, Ikumi Sato, Kunihiko Oochi, Satoshi Kasai，Journal of Imaging Informatics in Medicine，2025.02

  3. Crowd Anomaly Detection from Drone and Ground

    Yoshiki Ito, Tatsuya Sasaki, Satoshi Kondo，IEEE Access，(p.28824 ～ 28835)，2025.02

  4. LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification

    R. Dorent, R. Khajavi, T. Idris, E. Ziegler, B. Somarouthu, H. Jacene, A. LaCasce, J. Deissler, J. Ehrhardt, S. Engelson, S. M. Fischer, Y. Gu, H. Handels, S. Kasai, S. Kondo, K. Maier-Hein, J. A. Schnabel, G. Wang, L. Wang, T. Wald, G. Yang, H. Zhang, M. Zhang, S. Pieper, G. Harris, R. Kikinis, T. Kapur, ，Melba Journal，vol.3，2025.01

  5. A logistic model for precise tomato fruit-growth prediction based on diameter-time evolution

    Stefan Baar , Yosuke Kobayashi, Tatsuro Horie, Kazuhiko Sato, Satoshi Kondo, Shinya Watanabe，Computers and Electronics in Agriculture，vol.227，(1)，Article Number:109500，2024.12

  6. Developing an Alert System for Agricultural Protection: Sika Deer Detection Using Raspberry Pi

    Sandhya Sharma, Buchaputara Pansri, Suresh Timilsina, Bishnu Prasad Gautam, Yoshifumi Okada, Shinya Watanabe,Satoshi Kondo, Kazuhiko Sato，electronics，vol.13，(23)，2024.12

  7. The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue

    P. Weitz, M. Valkonen, L. Solorzano, C. Carr, K. Kartasalo, C. Boissin, S. Koivukoski, A. Kuusela, D. Rasic, Y. Feng, S. S. Pouplier, A. Sharma, K. L. Eriksson, S. Robertson, C. Marzahl, C. D. Gatenbee, A. R. Anderson, M. Wodzinski, A. Jurgas, N. Marini, M. Atzori, H. Müller, D. Budelmann, N. Weiss, S. Heldmann, J. Lotz, J. M. Wolterink, B. D. Santi, A. Patil, A. Sethi, S. Kondo, S. Kasai, K. Hirasawa, M. Farrokh, N. Kumar, R. Greiner, L. Latonen, A. Laenkholm, J. Hartman, P. Ruusuvuori, M. Rantalainen,，Medical Image Analysis，vol.97，Article Number:103257，2024.10

  8. Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report

    E. M. Huijben, M. L. Terpstra, A. J. Galapon, S. Pai, A. Thummerer, P. Koopmans, M. Afonso, M. van Eijnatten, O. Gurney-Champion, Z. Chen, Y. Zhang, K. Zheng, C. Li, H. Pang, C. Ye, R. Wang, T. Song, F. Fan, J. Qiu, Y. Huang, J. Ha, J. S. Park, A. Alain-Beaudoin, S. Bériault, P. Yu, H. Guo, Z. Huang, G. Li, X. Zhang, Y. Fan, H. Liu, B. Xin, A. Nicolson, L. Zhong, Z. Deng, G. Müller-Franzes, F. Khader, X. Li, Y. Zhang, C. Hémon, V. Boussot, Z. Zhang, L. Wang, L. Bai, S. Wang, D. Mus, B. Kooiman, C. A. Sargeant, E. G. Henderson, S. Kondo, S. Kasai, R. Karimzadeh, B. Ibragimov, T. Helfer, J. Dafflon, Z. Chen, E. Wang, Z. Perko, M. Maspero，Medical Image Analysis，vol.97，Article Number:103276，2024.10

  9. Enhancing Sika Deer Identification: Integrating CNN-Based Siamese Networks with SVM Classification

    Sharma, Sandhya, Suresh Timilsina, Bishnu Prasad Gautam, Shinya Watanabe, Satoshi Kondo, Kazuhiko Sato，Electronics，vol.13，(11)，Article Number:2067，2024.05

  10. 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. Ammeling, J. Ganz, F. Wilm, M. Veta, S. Jabari, M. Eckstein, J. Annuscheit, C. Krumnow, E. Bozaba, S. Çayır, 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 ，Medical Image Analysis，vol.94，Article Number:103155，2024.05

  11. Development of a Subtraction Processing Technology for Assistance in the Comparative Interpretation of Mammograms

    Chiharu Kai, Satoshi Kondo, Tsunehiro Otsuka, Akifumi Yoshida, Ikumi Sato, Hitoshi Futamura, Naoki Kodama, Satoshi Kasai，Diagnostics，vol.14，(11)，Article Number:1131，2024.05

  12. Spirometry test values can be estimated from a single chest radiograph

    Akifumi Yoshida, Chiharu Kai, Hitoshi Futamura, Kunihiko Oochi, Satoshi Kondo, Ikumi Sato, Satoshi Kasai，Frontiers in Medicine，vol.11，2024.03

  13. Identifying factors that indicate the possibility of non-visible cases on mammograms using mammary gland content ratio estimated by artificial intelligence

    Chiharu Kai, Tsunehiro Otsuka, Miyako Nara, Satoshi Kondo, Hitoshi FutamuraHitoshi Futamura, Naoki Kodama, Satoshi Kasai，Frontiers in Oncology，vol.14，2024.03

  14. 大型鍛鋼品に対するコスト見積もりのための形状の類似度に基づく類似度算出手法の提案

    松尾 隼河, 近藤 敏志, 今村 祐輔, 高瀨 健治, 渡邉 真也，情報処理学会論文誌 数理モデル化と応用，vol.17，(1)，(p.1 ～ 10)，2024.02

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark

    M. Wagner, B.-P. Müller-Stich, A. Kisilenko, D. Tran, P. Heger, L. Mündermann, D. M. Lubotsky, B. Müller, T. Davitashvili, M. Capek, A. Reinke, T. Yu, A. Vardazaryan, C. I. Nwoye, N. Padoy, X. Liu, E.-J. Lee, C. Disch, H. Meine, T. Xia, F. Jia, S. Kondo, W. Reiter, Y. Jin, Yonghao Long, M. Jiang, Q. Dou, P. A. Heng, I. Twick, K. Kirtac, E. Hosgor, J. L. Bolmgren, M. Stenzel, B. von Siemens, H. G. Kenngott, F. Nickel, M. von Frankenberg, F. Mathis-Ullrich, L. Maier-Hein, S. Speidel, S. Bodenstedt，Medical Image Analysis，2023.05

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