論文 - 近藤　敏志

1. Feasibility of opportunistic screening for preserved ratio impaired spirometry using chest radiography-based deep learning models

   Akifumi Yoshida, Chiharu Kai, Ikumi Sato, Hitoshi Futamura, Kunihiko Oochi, Satoshi Kondo, Satoshi Kasai，European Journal of Radiology Open，17巻，Article Number:100791，2026年12月

   

2. Pest-induced damage detection in corn leaves using improved Faster R-CNN

   Suresh Timilsina, Sandhya Sharma, Kazuhiko Sato, Yoshifumi Okada, Shinya Watanabe, Satoshi Kondo，Computers and Electronics in Agriculture，Article Number:112158，2026年10月

   

3. A Lightweight Multiscale Deep Learning Framework for Automated Cardiovascular Disease Classification from Standard 12-Lead ECG Images

   Chotirose Prathom, Ryoga Sato, Shinya Watanabe, Satoshi Kondo, Kazuhiko Sato, Yoshifumi Okada，Technologies，14巻，6号，Article Number:326，2026年05月

   

4. A lightweight deep learning architecture for automatic shrimp disease classification

   Sandhya Sharma, Poltak Sandro Rumahorbo, Satoshi Kondo, Shinya Watanabe, Yoshifumi Okada, Bishnu Prasad Gautam, Kazuhiko Sato，Scientific Reports，16巻，Article Number:13837，2026年03月

   

5. 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年02月

   

6. 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年01月

   

7. 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号，Article Number:1703927，2025年11月

   

8. 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 ，17巻，22号，Article Number:10120，2025年11月

   

9. 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，12巻，2025年10月

   

10. PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery

    A. Das, D. Z. Khan, D. Psychogyios, Y. Zhang, J. G. Hanrahan, F. Vasconcelos, Y. Pang, Z. Chen, J. Wu, X. Zou, G. Zheng, A. Qayyum, M. Mazher, I. Razzak, T. Li, J. Ye, J. He, S. Płotka, J. Kaleta, A. Yamlahi, A. Jund, P. Godau, S. Kondo, S. Kasai, K. Hirasawa, D. Rivoir, S. Speidel, A. Pérez, S. Rodriguez, P. Arbeláez, D. Stoyanov, H. J. Marcus, S. Bano，Medical Image Analysis，Article Number:103716，2025年07月

    

11. Advancements in maize leaf disease detection, segmentation and classification: A review

    Suresh Timilsina, Sandhya Sharma, Satoshi Kondo，Biosystems Engineering，255巻，Article Number:104162，2025年07月

    

12. Cake Moisture Estimation Based on Image Analysis and Regression Model for Controlling the Compression Time of Filter Press in Sludge Dewatering

    Poltak Sandro Rumahorbo, Nobuhiro Yazawa, Hiroki Ito, Jun Sugimoto, Satoshi Kondo, Yoshifumi Okada,Kazuhiko Sato, Warut Timprae, Shinya Watanabe，Processes，13巻，6号，Article Number:1919，2025年06月

    

13. ACOUSLIC-AI challenge report: Fetal abdominal circumference measurement on blind-sweep ultrasound data from low-income countries

    M. S. Sappia, C. L. de Korte, B. van Ginneken, D. Ninalga, S. Kondo, S. Kasai, K. Hirasawa, T. Akumu, C. M. Isla, K. Lekadir, V. M.Campello, J. Fabila, A. Beverdam, J. van Dillen, C. Neff, K. Murphy，Medical Image Analysis，Article Number:103640，2025年06月

    

14. Early Detection and Remote Care of Frailty for Older Adults Living in Sparsely Populated Rural Areas in Hokkaido, Japan: A Case Study

    Kazuki Yokoyama, Shuhei Fukagawa, Hideyuki Tashiro, Hajime Toda, Takuto Kida, Lin Takahashi, Atsushi Mizumoto, Keitaro Makino, Kaori Yokoyama, Tomomi Akanuma, Satoshi Kondo, Hikaru Ihira，Careus，17巻，5号，2025年05月

    

15. 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，14巻，7号，Article Number:1482，2025年04月

    

16. 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年02月

    

17. Crowd Anomaly Detection from Drone and Ground

    Yoshiki Ito, Tatsuya Sasaki, Satoshi Kondo，IEEE Access，(頁 28824 ～ 28835)，2025年02月

    

18. 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，3巻，2025年01月

    

19. 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，13巻，23号，2024年12月

    

20. 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，227巻，1号，Article Number:109500，2024年12月