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Journal of Computer Assisted Tomography|September 19, 2013
The effect of the virtual monochromatic spectral imaging for the metallic artifact and the pulmonary nodule detectionTomoko Gyobu, Osamu Honda, Yutaka Kawata, et al.
BMC Cancer|September 6, 2023
Osteoblastic bone reaction in non-small cell lung cancer harboring epidermal growth factor receptor mutation treated with osimertinibKensuke Kanaoka, Hiromitsu Sumikawa, Shunsuke Oyamada, et al.
Internal Medicine (Tokyo, Japan)|October 15, 2023
Autoimmune Pulmonary Alveolar Proteinosis Complicated by Myelodysplastic SyndromeMinako Shimaya, Yuji Inagaki, Toru Arai, et al.
Radiation Medicine|June 22, 2007
Preoperative assessment of thymic veins on multidetector row CT: optimization of contrast material volumeJavzandulam Natsag, Noriyuki Tomiyama, Atsuo Inoue, et al.
Journal of Computer Assisted Tomography|November 29, 2007
Pulmonary cavitary nodules on computed tomography: differentiation of malignancy and benignancyOsamu Honda, Mitsuko Tsubamoto, Atsuo Inoue, et al.
Academic Radiology|April 20, 2010
CT-guided percutaneous cutting needle biopsy of thymic epithelial tumors comparison to the accuracy of computed tomographic diagnosis according to the world health organization classificationMasahiro Yanagawa, Noriyuki Tomiyama, Osamu Honda, et al.
Lung|October 14, 2016
Clinical Significance of Forced Oscillation Technique for Evaluation of Small Airway Disease in Interstitial Lung DiseasesMasashi Mikamo, Tomoyuki Fujisawa, Yoshiyuki Oyama, et al.
Respiratory Medicine Case Reports|May 29, 2026
Lymphangioleiomyomatosis with superimposed organizing pneumonia diagnosed by transbronchial lung cryobiopsy: A case reportNaoko Takeuchi, Takayuki Takimoto, Mitsuhiro Moda, et al.
European Journal of Radiology|December 13, 2006
Computer-assisted lung nodule volumetry from multi-detector row CT: influence of image reconstruction parametersOsamu Honda, Hiromitsu Sumikawa, Takeshi Johkoh, et al.
Japanese Journal of Radiology|July 31, 2025
Effect of spatial resolution on the diagnostic performance of machine-learning radiomics model in lung adenocarcinoma: comparisons between normal- and high-spatial-resolution imaging for predicting invasivenessMasahiro Yanagawa, Yukihiro Nagatani, Akinori Hata, et al.
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