Papers - Satoshi Kondo

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  1. 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

  2. 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

  3. 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

  4. 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

  5. CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

    C. I. Nwoye, D. Alapatt, T. Yu, A. Vardazaryan, F. Xia, Z. Zhao, T. Xia, F. Jia, Y. Yang, H. Wang, D. Yu, G. Zheng, X. Duan, N. Getty, R. S. Matilla, M. Robu, L. Zhang, H. Chen, J. Wang, L. Wang, B. Zhang, B. Gerats, S. Raviteja, R. Sathish, R. Tao, S. Kondo, W. Pang, H. Ren, J. R. Abbing, M. H. Sarhan, S. Bodenstedt, N. Bhasker, B. Oliveira, H. R. Torres, L. Ling, F. Gaida, T. Czempiel, J. L. Vilaça, P. Morais, J. Fonseca, R. M. Egging, I. N. Wijma, C. Qian, G. Bian, Z. Li, V. Balasubramanian, D. Sheet, I. Luengo, Y. Zhu, S. Ding, J. A. Aschenbrenner, N. E. van der Kar, M. Xu, M. Islam, L. Seenivasan, A. Jenke, D. Stoyanov, D. Mutter, P. Mascagni, B. Seeliger, C. Gonzalez, N. Padoy,，Medical Image Analysis，vol.86，Article Number:102803，2023.05

  6. 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

  7. Automated Estimation of Mammary Gland Content Ratio Using Regression Deep Convolutional Neural Network and the Effectiveness in Clinical Practice as Explainable Artificial Intelligence

    C. Kai, S. Ishizuka, T. Otsuka, M. Nara, S. Kondo, H. Futamura, N. Kodama, S. Kasai，Cancers，vol.15，(10)，Article Number:2794，2023.05

  8. Mitosis domain generalization in histopathology images - The MIDOG challenge

    M. Aubreville, N. Stathonikos, C. A. Bertram, R. Klopfleisch, N. ter Hoeve, F. Ciompi, F. Wilm, C. Marzahl, T. A. Donovan, A. Maier, J. Breen, N. Ravikumar, Y. Chung, J. Park, R. Nateghi, F. Pourakpour, R. H. J. Fick, S. Ben Hadj, M. Jahanifar, A. Shephard, J. Dexl, T. Wittenberg, S. Kondo, M. W. Lafarge, V. H. Koelzer, J. Liang, Y. Wang, X. Long, J. Liu, S. Razavi, A. Khademi, S. Yang, X. Wang, R. Erber, A. Klang, K. Lipnik, P. Bolfa, M. J. Dark, G. Wasinger, M. Veta, K. Breininger，Medical Image Analysis，vol.84，Article Number:102699，2023.02

  9. CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation

    R. Dorent, A. Kujawa, M. Ivory, S. Bakas, N. Rieke, S. Joutard, B. Glocker, J. Cardoso, M. Modat, K. Batmanghelich, A. Belkov, M. B. Calisto, J. W. Choi, B. M. Dawant, H. Dong, S. Escalera, Y. Fan, L. Hansen, M. P. Heinrich, S. Joshi, V. Kashtanova, H. G. Kim, S. Kondo, C. N. Kruse, S. K. Lai-Yuen, H. Li, H. Liu, B. Ly, I. Oguz, H. Shin, B. Shirokikh, Z. Su, G. Wang, J. Wu, Y. Xu, K. Yao, L. Zhang, S. Ourselin, J. Shapey, T. Vercauteren ，Medical Image Analysis，vol.83，Article Number:102628，2023.01

  10. MIcro-surgical anastomose workflow recognition challenge report

    A. Huaulmé, D. Sarikaya, K. Le Mut, F. Despinoy, Y. Long, Q. Dou, C.-B. Chng, W. Lin, S. Kondo, L. Bravo-Sánchez, P. Arbeláez, W. Reiter, M. Mitsuishi, K. Harada, P. Jannin，Computer Methods and Programs in Biomedicine，vol.212，2021.11

  11. LapFormer: surgical tool detection in laparoscopic surgical video using transformer architecture

    Satoshi Kondo，Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization，vol.9，(3)，(p.302 ～ 307)，2020.10

  12. CATARACTS: Challenge on automatic tool annotation for cataRACT surgery

    H. A. Hajj, M. Lamard, P. Conze, S. Roychowdhury, X. Hu, G. Maršalkaitė, O. Zisimopoulos, M. A. Dedmari, F. Zhao, J. Prellberg, M. Sahu, A. Galdran, T. Araújo, D. M. Vo, C. Panda, N. Dahiya, S. Kondo, Z. Bian, A. Vahdat, J. Bialopetravičius, E. Flouty, C. Qiu, S. Dill, A. Mukhopadhyay, P. Costa, G. Aresta, S. Ramamurthy, S. Lee, A. Campilho, S. Zachow, S. Xia, S. Conjeti, D. Stoyanov, J. Armaitis, P. Heng, W. G. Macready, B. Cochener, G. Quellec，MEDICAL IMAGE ANALYSIS，vol.52，(p.24 ～ 41)，2019.02

  13. Evaluation of 2D and 3D ultrasound tracking algorithms and impact on ultrasound-guided liver radiotherapy margins

    V. de Luca, J. Banerjee, A. Hallack, S. Kondo, M. Makhinya, D. Nouri, L. Royer, A. Cifor, G. Dardenne, O. Goksel, M. Gooding, C. Klink, A. Krupa, A. L. Bras, M. Marchal, A. Moelker, W. J. Niessen, B. Papiez, A. Rothberg, J. A. Schnabel, T. van Walsum, E. Harris, M. L. Bell, C. Tanne，MEDICAL PHYSICS，vol.45，(11)，(p.4986 ～ 5003)，2018.11

  14. Computer-Aided Diagnosis of Focal Liver Lesions Using Contrast-Enhanced Ultrasonography With Perflubutane Microbubbles

    Kondo Satoshi, Takagi Kazuya, Nishida Mutsumi, Iwai Takahito, Kudo Yusuke, Ogawa Kouji, Kamiyama Toshiya, Shibuya Hitoshi, Kahata Kaoru, Shimizu Chikara，IEEE TRANSACTIONS ON MEDICAL IMAGING，vol.36，(7)，(p.1427 ～ 1437)，2017.07

  15. An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework

    Wolterink Jelmer M., Leiner Tim, de Vos Bob D., Coatrieux Jean-Louis, Kelm B. Michael, Kondo Satoshi, Salgado Rodrigo A., Shahzad Rahil, Shu Huazhong, Snoeren Miranda, Takx Richard A. P., van Vliet Lucas J., van Walsum Theo, Willems Tineke P., Yang Guanyu, Zheng Yefeng, Viergever Max A., Isgum Ivana，MEDICAL PHYSICS，vol.43，(5)，(p.2361 ～ 2373)，2016.05

  16. Automatic Detection of the Carotid Artery Location from Volumetric Ultrasound Images Using Anatomical Position-Dependent LBP Features

    Kawai Fumi, Kondo Satoshi, Hayata Keisuke, Ohmiya Jun, Ishikawa Kiyoko, Yamamoto Masahiro，IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS，vol.E98D，(7)，(p.1353 ～ 1364)，2015.07

  17. The 2014 liver ultrasound tracking benchmark

    V. De Luca, T. Benz, S. Kondo, L. König, D. Lübke, S. Rothlübbers, O. Somphone, S. Allaire, M. A. Lediju Bell, D. Y. Chung, A. Cifor, C. Grozea, M. Günther, J. Jenne, T. Kipshagen, M. Kowarschik, N. Navab, J. Rühaak, J. Schwaab, C. Tanner，Physics in Medicine & Biology，vol.60，(14)，(p.5571 ～ 5599)，2015.07

  18. Assessment of algorithms for mitosis detection in breast cancer histopathology images

    Veta Mitko, van Diest Paul J., Willems Stefan M., Wang Haibo, Madabhushi Anant, Cruz-Roa Angel, Gonzalez Fabio, Larsen Anders B. L., Vestergaard Jacob S., Dahl Anders B., Ciresan Dan C., Schmidhuber Juergen, Giusti Alessandro, Gambardella Luca M., Tek F. Boray, Walter Thomas, Wang Ching-Wei, Kondo Satoshi, Matuszewski Bogdan J., Precioso Frederic, Snell Violet, Kittler Josef, de Campos Teofilo E., Khan Adnan M., Rajpoot Nasir M., Arkoumani Evdokia, Lacle Miangela M., Viergever Max A., Pluim Josien P. W.，MEDICAL IMAGE ANALYSIS，vol.20，(1)，(p.237 ～ 248)，2015.02

  19. Lesion Type Classification by Applying Machine Learning Technique to Contrast-Enhanced Ultrasound Images

    K. Takagi, S. Kondo, K. Nakamura, M. Takiguchi，IEICE Trans on Information and Systems，vol.E97-D，(11)，(p.2947 ～ 2954)，2014.11

  20. Development of Ultrasound Diagnosis System for Carotid Artery Using Probe Pose Estimation and Three-dimensional Structure Reconstruction Techniques

    近藤 敏志, 大宮 淳, 遠間 正真, 松本 悠希, 早田 啓介, 田路 文平，Medical Imaging Technology，vol.32，(4)，(p.282 ～ 301)，2014.09

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