Chiharu Kai, Satoshi Kondo, Tsunehiro Otsuka, Akifumi Yoshida, Ikumi Sato, Hitoshi Futamura, Naoki Kodama, Satoshi Kasai. Development of a Subtraction Processing Technology for Assistance in the Comparative Interpretation of Mammograms. Diagnostics. 2024. 14. 11. 1131-1131
Chiharu Kai, Satoshi Kondo, Tsunehiro Otsuka, Hitoshi Futamura, Satoshi Kasai. Evaluation of subtraction processing for mammograms analyzed by breast density and thickness. 17th International Workshop on Breast Imaging (IWBI 2024). 2024
Chiharu Kai, Tsunehiro Otsuka, Miyako Nara, Satoshi Kondo, Hitoshi Futamura, Naoki Kodama, Satoshi Kasai. Identifying factors that indicate the possibility of non-visible cases on mammograms using mammary gland content ratio estimated by artificial intelligence. Frontiers in Oncology. 2024. 14
Satoshi Kondo. Black-Box Unsupervised Domain Adaptation for Medical Image Segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2024. 14293 LNCS. 22-30
Satoshi Kondo, Megumi Satoh, Mutsumi Nishida, Ryousuke Sakano, Kazuya Takagi. Ceusia-Breast: computer-aided diagnosis with contrast enhanced ultrasound image analysis for breast lesions. BMC Medical Imaging. 2023. 23. 1
Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, et al. CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. Medical Image Analysis. 2023. 89
Martin Wagner, Beat Peter Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M. Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, et al. Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark. Medical Image Analysis. 2023. 86
Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, et al. CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. Medical Image Analysis. 2023. 86
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas Maier, et al. Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Analysis. 2023. 84
Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, et al. CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Analysis. 2023. 83
2021/09 - The “PEg TRAnsfer Workflow recognition by different modalities” (PETRAW) sub-challenge in Endoscopic Vision Challenge at MICCAI 2021 PETRAW sub-challenge in Endoscopic Vision Challenge at MICCAI 2021:全5タスク中4タスクで1位
2021/09 - SimSurgSkill - Objective Surgical Skills Assessment in VR Simulation in Endoscopic Vision Challenge at MICCAI 2021 SimSurgSkill in Endoscopic Vision Challenge at MICCAI 2021:Category #1 (Surgical tool clevis and needle detection) 1位
2020/09 - SurgVisDom - Surgical Visual Domain Adaptation Sub-challenge in Endoscopic Vision Challenge at MICCAI 2020 SurgVisDom in Endoscopic Vision Challenge at MICCAI 2020:Category #1 1位
2019/09 - Surgical Workflow Analysis and Skill Analysis Sub-challenge in Endoscopic Vision Challenge at MICCAI 2019 Surgical Workflow Analysis and Skill Analysis Sub-challenge in Endoscopic Vision Challenge at MICCAI 2019:Instrument presence detection部門1位,Action recognition部門1位
2018/09 - Gastrointestinal Image Analysis (GIANA) sub-challenge in Endoscopic Vision Challenge at MICCAI 2018 GIANA sub-challenge in Endoscopic Vision Challenge at MICCAI 2018:総合1位
