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International Journal of Computer Assisted Radiology and Surgery|October 15, 2021
Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learningYukihiro Nomura, Shouhei Hanaoka, Tomomi Takenaga, et al.Japanese Journal of Radiology|September 12, 2025
Assessing accuracy and legitimacy of multimodal large language models on Japan Diagnostic Radiology Board ExaminationYuichiro Hirano, Soichiro Miki, Yosuke Yamagishi, et al.Acta Radiologica (Stockholm, Sweden : 1987)|November 25, 2022
Computer-aided detection improves brain metastasis identification on non-enhanced CT in less experienced radiologistsShimpei Kato, Shiori Amemiya, Hidemasa Takao, et al.Radiological Physics and Technology|November 7, 2022
Automated volume measurement of abdominal adipose tissue from entire abdominal cavity in Dixon MR images using deep learningMasato Takahashi, Tomomi Takenaga, Yukihiro Nomura, et al.ERJ Open Research|December 10, 2025
A deep learning-based automated detection of mucus plugs in chest computed tomographyYuki Sonoda, Kensuke Fukuda, Hirotaka Matsuzaki, et al.Japanese Journal of Radiology|February 27, 2021
Computer-aided detection of cerebral aneurysms with magnetic resonance angiography: usefulness of volume rendering to display lesion candidatesSoichiro Miki, Takahiro Nakao, Yukihiro Nomura, et al.Plos One|December 12, 2024
Deep generative abnormal lesion emphasization validated by nine radiologists and 1000 chest X-rays with lung nodulesShouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, et al.International Journal of Computer Assisted Radiology and Surgery|April 16, 2024
Performance changes due to differences among annotating radiologists for training data in computerized lesion detectionYukihiro Nomura, Shouhei Hanaoka, Naoto Hayashi, et al.Pageof 4