Junji Shiraishi to Image Processing, Computer-Assisted
This is a "connection" page, showing publications Junji Shiraishi has written about Image Processing, Computer-Assisted.
Connection Strength
3.156
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Improved detection of cholesterol gallstones using quasi-material decomposition images generated from single-energy computed tomography images via deep learning. Radiol Phys Technol. 2024 Jun; 17(2):360-366.
Score: 0.598
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[Image Evaluation with Paired Comparison Method Using Automatic Analysis Software: Comparison of CT Images with Simulated Levels of Exposure Dose]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2019; 75(1):32-39.
Score: 0.418
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C-programing for Image Processing: Introduction of the Experience-based E-learning. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2016; 72(10):1049-1051.
Score: 0.340
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Modulation transfer function measurement of CT images by use of a circular edge method with a logistic curve-fitting technique. Radiol Phys Technol. 2015 Jan; 8(1):53-9.
Score: 0.309
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A simple method for identifying image orientation of chest radiographs by use of the center of gravity of the image. Radiol Phys Technol. 2012 Jul; 5(2):207-12.
Score: 0.263
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[Development of a computer-aided diagnosis system for the distinction between benign and malignant gastric lesions]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2012; 68(11):1474-85.
Score: 0.258
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[Development of the computerized scheme for reconstructing three dimensional ultrasonography from the conventional two dimensional dynamic images]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2012; 68(12):1617-23.
Score: 0.258
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[Computerized estimation of a percent glandular tissue composition in computed radiography mammography]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2011; 67(12):1540-7.
Score: 0.240
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Task-based assessment of resolution properties of CT images with a new index using deep convolutional neural network. Radiol Phys Technol. 2024 Mar; 17(1):83-92.
Score: 0.146
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Image Data Mining for Pattern Classification and Visualization of Morphological Changes in Brain MR Images. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2016 02; 72(2):149-56.
Score: 0.085
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A computer simulation method for low-dose CT images by use of real high-dose images: a phantom study. Radiol Phys Technol. 2016 Jan; 9(1):44-52.
Score: 0.083
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Computer-aided diagnosis for the classification of focal liver lesions by use of contrast-enhanced ultrasonography. Med Phys. 2008 May; 35(5):1734-46.
Score: 0.050
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Investigation of new psychophysical measures for evaluation of similar images on thoracic computed tomography for distinction between benign and malignant nodules. Med Phys. 2003 Oct; 30(10):2584-93.
Score: 0.036
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[Development of an image processing scheme for chest radiographs using a dot printer]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2002 Sep; 58(9):1268-77.
Score: 0.034
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Computer-aided diagnosis with radiogenomics: analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images. Radiol Phys Technol. 2018 Sep; 11(3):265-273.
Score: 0.025
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Investigation of psychophysical similarity measures for selection of similar images in the diagnosis of clustered microcalcifications on mammograms. Med Phys. 2008 Dec; 35(12):5695-702.
Score: 0.013